\
This track shows short genetic variants\
(up to approximately 50 base pairs) from\
dbSNP\
build 153:\
single-nucleotide variants (SNVs),\
small insertions, deletions, and complex deletion/insertions (indels),\
relative to the reference genome assembly.\
Most variants in dbSNP are rare, not true polymorphisms,\
and some variants are known to be pathogenic.\
\
For hg38 (GRCh38), approximately 667 million distinct variants\
(RefSNP clusters with rs# ids)\
have been mapped to more than 702 million genomic locations\
including alternate haplotype and fix patch sequences.\
dbSNP remapped variants from hg38 to hg19 (GRCh37);\
approximately 658 million distinct variants were mapped to\
more than 683 million genomic locations\
including alternate haplotype and fix patch sequences (not\
all of which are included in UCSC's hg19).\
\
\
This track includes four subtracks of variants:\
\
All dbSNP (153): the entire set (683 million for hg19, 702 million for hg38)\
\
Common dbSNP (153): approximately 15 million variants with a minor allele\
frequency (MAF) of at least 1% (0.01) in the 1000 Genomes Phase 3 dataset.\
Variants in the Mult. subset (below) are excluded.\
\
ClinVar dbSNP (153): approximately 455,000 variants mentioned in ClinVar.\
Note: that includes both benign and pathogenic (as well as uncertain) variants.\
Variants in the Mult. subset (below) are excluded.\
\
Mult. dbSNP (153): variants that have been mapped to multiple chromosomes,\
for example chr1 and chr2,\
raising the question of whether the variant is really a variant or just a difference\
between duplicated sequences.\
There are some exceptions in which a variant is mapped to more than one reference\
sequence, but not culled into this set:\
\
A variant may appear in both X and Y\
pseudo-autosomal regions (PARs) without being included in this set.\
\
A variant may also appear in a main chromosome as well as an alternate haplotype\
or fix patch sequence assigned to that chromosome.\
\
\
\
\
\
\
A fifth subtrack highlights coordinate ranges to which dbSNP mapped a variant but with genomic\
coordinates that are not internally consistent, i.e. different coordinate ranges were provided\
when describing different alleles. This can occur due to a bug with mapping variants from one\
assembly sequence to another when there is an indel difference between the assembly sequences:\
\
Map Err (153): around 120,000 mappings of 55,000 distinct rsIDs for hg19\
and 149,000 mappings of 86,000 distinct rsIDs for hg38.\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
SNVs and pure deletions are displayed as boxes covering the affected base(s).\
Pure insertions are drawn as single-pixel tickmarks between\
the base before and the base after the insertion.\
\
Insertions and/or deletions in repetitive regions may be represented by a half-height box\
showing uncertainty in placement, followed by a full-height box showing the number of deleted\
bases, or a full-height tickmark to indicate an insertion.\
When an insertion or deletion falls in a repetitive region, the placement may be ambiguous.\
For example, if the reference genome contains "TAAAG" but some\
individuals have "TAAG" at the same location, then the variant is a deletion of a single\
A relative to the reference genome.\
However, which A was deleted? There is no way to tell whether the first, second or third A\
was removed.\
Different variant mapping tools may place the deletion at different bases in the reference genome.\
To reduce errors in merging variant calls made with different left vs. right biases,\
dbSNP made a major change in its representation of deletion/insertion variants in build 152.\
Now, instead of assigning a single-base genomic location at one of the A's,\
dbSNP expands the coordinates to encompass the whole repetitive region,\
so the variant is represented as a deletion of 3 A's combined with an insertion of 2 A's.\
In the track display, there will be a half-height box covering the first two A's,\
followed by a full-height box covering the third A, to show a net loss of one base\
but an uncertain placement within the three A's.\
\
\
Variants are colored according to functional effect on genes annotated by dbSNP:\
\
\
Protein-altering variants and splice site variants are\
red.\
Synonymous codon variants are\
green.\
\
Non-coding transcript or Untranslated Region (UTR) variants are\
blue.\
\
\
On the track controls page, several variant properties can be included or excluded from\
the item labels:\
rs# identifier assigned by dbSNP,\
reference/alternate alleles,\
major/minor alleles (when available) and\
minor allele frequency (when available).\
Allele frequencies are reported independently by twelve projects\
(some of which may have overlapping sets of samples):\
\
1000Genomes:\
The 1000 Genomes Phase 3 dataset contains data for 2,504 individuals from 26 populations.\
\
GnomAD exomes:\
The gnomAD\
v2.1\
exome dataset comprises a total of 16 million SNVs and 1.2 million indels from 125,748 exomes\
in 14 populations.\
\
TOPMED:\
The TOPMED dataset contains phase 3 data from freeze 5 panel that include more than 60,000\
individuals. The approximate ethnic breakdown is European(52%), African (31%),\
Hispanic or Latino (10%), and East Asian (7%) ancestry.\
\
PAGE STUDY:\
The PAGE Study: How Genetic Diversity Improves Our Understanding of the Architecture of\
Complex Traits.\
\
GnomAD genomes:\
The gnomAD\
v2.1\
genome dataset includes 229 million SNVs and 33 million indels from 15,708 genomes\
in 9 populations.\
\
GoESP:\
The NHLBI Grand Opportunity Exome Sequencing Project (GO-ESP) dataset contains 6503 samples\
drawn from multiple ESP cohorts and represents all of the ESP exome variant data.\
\
Estonian:\
Genetic variation in the Estonian population: pharmacogenomics study of\
adverse drug effects using electronic health records.\
\
ALSPAC:\
The UK10K - Avon Longitudinal Study of Parents and Children project contains 1927 sample\
including individuals obtained from the\
ALSPAC population.\
This population contains more than 14,000 mothers enrolled during pregnancy in 1991 and 1992.\
NorthernSweden:\
Whole-genome sequenced control population in northern Sweden reveals subregional\
genetic differences. This population consists of 300 whole genome sequenced human samples\
selected from the county of Vasterbotten in northern Sweden. To be selected for inclusion\
into the population, the individuals had to have reached at least 80 years of age and have\
no diagnosed cancer.\
\
Vietnamese:\
The Vietnamese Genetic Variation Database includes about 25 million variants (SNVs and indels)\
from 406 genomes and 305 exomes of unrelated healthy Kinh Vietnamese (KHV) people.\
\
\
The project from which to take allele frequency data defaults to 1000 Genomes\
but can be set to any of those projects.\
\
\
Using the track controls, variants can be filtered by\
\
Variant is in ClinVar with clinical significance of benign and/or likely benign.
\
\
\
clinvarConflicting
\
7932
\
7950
\
Variant is in ClinVar with reports of both benign and pathogenic significance.
\
\
\
clinvarPathogenic
\
96242
\
95262
\
Variant is in ClinVar with clinical significance of pathogenic and/or likely pathogenic.
\
\
\
commonAll
\
12184521
\
12438655
\
Variant is "common", i.e. has a Minor Allele Frequency of at least 1% in all\
projects reporting frequencies.
\
\
\
commonSome
\
20541190
\
20902944
\
Variant is "common", i.e. has a Minor Allele Frequency of at least 1% in some, but not all,\
projects reporting frequencies.
\
\
\
diffMajor
\
1377831
\
1399109
\
Different frequency sources have different major alleles.
\
\
\
overlapDiffClass
\
107015341
\
110007682
\
This variant overlaps another variant with a different type/class.
\
\
\
overlapSameClass
\
16915239
\
17291289
\
This variant overlaps another with the same type/class but different start/end.
\
\
\
rareAll
\
662601770
\
681696398
\
Variant is "rare", i.e. has a Minor Allele Frequency of less than 1%\
in all projects reporting frequencies, or has no frequency data.
\
\
\
rareSome
\
670958439
\
690160687
\
Variant is "rare", i.e. has a Minor Allele Frequency of less than 1%\
in some, but not all, projects reporting frequencies, or has no frequency data.
\
\
\
revStrand
\
3813702
\
4532511
\
Alleles are displayed on the + strand at the current position.\
dbSNP's alleles are displayed on the + strand of a different assembly sequence,\
so dbSNP's variant page shows alleles that are reverse-complemented with respect to\
the alleles displayed above.
\
\
\
\
while others may indicate that the reference genome contains a rare variant or sequencing issue:\
\
\
keyword in data file (dbSnp153.bb)
\
# in hg19
# in hg38
description
\
\
refIsAmbiguous
\
101
\
111
\
The reference genome allele contains an IUPAC ambiguous base\
(e.g. 'R' for 'A or G', or 'N' for 'any base').
\
\
\
refIsMinor
\
3272116
\
3360435
\
The reference genome allele is not the major allele in at least one project.
\
\
\
refIsRare
\
136547
\
160827
\
The reference genome allele is rare (i.e. allele frequency < 1%).
\
\
\
refIsSingleton
\
37832
\
50927
\
The reference genome allele has never been observed in a population sequencing project\
reporting frequencies.
\
\
\
refMismatch
\
4
\
33
\
The reference genome allele reported by dbSNP differs from the GenBank assembly sequence.\
This is very rare and in all cases observed so far, the GenBank assembly has an 'N'\
while the RefSeq assembly used by dbSNP has a less ambiguous character such as 'R'.
\
\
\
\
and others may indicate an anomaly or problem with the variant data:\
\
\
keyword in data file (dbSnp153.bb)
\
# in hg19
# in hg38
description
\
\
altIsAmbiguous
\
10755
\
10888
\
At least one alternate allele contains an IUPAC ambiguous base (e.g. 'R' for 'A or G').\
For alleles containing more than one ambiguous base, this may create a\
combinatoric explosion of possible alleles.
\
\
\
classMismatch
\
5998
\
6216
\
Variation class/type is inconsistent with alleles mapped to this genome assembly.
\
\
\
clusterError
\
114826
\
128306
\
This variant has the same start, end and class as another variant;\
they probably should have been merged into one variant.
\
\
\
freqIncomplete
\
3922
\
4673
\
At least one project reported counts for only one allele which implies that at\
least one allele is missing from the report;\
that project's frequency data are ignored.
\
\
\
freqIsAmbiguous
\
7656
\
7756
\
At least one allele reported by at least one project that reports frequencies\
contains an IUPAC ambiguous base.
\
\
\
freqNotMapped
\
2685
\
6590
\
At least one project reported allele frequencies relative to a different assembly;\
However, dbSNP does not include a mapping of this variant to that assembly, which\
implies a problem with mapping the variant across assemblies. The mapping on this\
assembly may have an issue; evaluate carefully vs. original submissions, which you\
can view by clicking through to dbSNP above.
\
\
\
freqNotRefAlt
\
17694
\
32170
\
At least one allele reported by at least one project that reports frequencies\
does not match any of the reference or alternate alleles listed by dbSNP.
\
\
\
multiMap
\
562180
\
132123
\
This variant has been mapped to more than one distinct genomic location.
\
\
\
otherMapErr
\
114095
\
204219
\
At least one other mapping of this variant has erroneous coordinates.\
The mapping(s) with erroneous coordinates are excluded from this track\
and are included in the Map Err subtrack. Sometimes despite this mapping\
having legal coordinates, there may still be an issue with this mapping's\
coordinates and alleles; you may want to click through to dbSNP to compare\
the initial submission's coordinates and alleles.\
In hg19, 55454 distinct rsIDs are affected; in hg38, 86636.\
\
\
\
\
Data Sources and Methods
\
\
dbSNP has collected genetic variant reports from researchers worldwide for \
more than 20 years.\
Since the advent of next-generation sequencing methods and the population sequencing efforts\
that they enable, dbSNP has grown exponentially, requiring a new data schema, computational pipeline,\
web infrastructure, and download files.\
(Holmes et al.)\
The same challenges of exponential growth affected UCSC's presentation of dbSNP variants,\
so we have taken the opportunity to change our internal representation and import pipeline.\
Most notably, flanking sequences are no longer provided by dbSNP,\
because most submissions have been genomic variant calls in VCF format as opposed to\
independent sequences.\
\
\
We downloaded JSON files available from dbSNP at\
ftp://ftp.ncbi.nlm.nih.gov/snp/archive/b153/JSON/,\
extracted a subset of the information about each variant, and collated\
it into a bigBed file using the\
bigDbSnp.as schema with the information\
necessary for filtering and displaying the variants,\
as well as a separate file containing more detailed information to be\
displayed on each variant's details page\
(dbSnpDetails.as schema).\
\
Data Access
\
\
Note: It is not recommeneded to use LiftOver to convert SNPs between assemblies,\
and more information about how to convert SNPs between assemblies can be found on the following\
FAQ entry.
\
\
Since dbSNP has grown to include approximately 700 million variants, the size of the All dbSNP (153)\
subtrack can cause the\
Table Browser and\
Data Integrator\
to time out, leading to a blank page or truncated output,\
unless queries are restricted to a chromosomal region, to particular defined regions, to a specific set \
of rs# IDs (which can be pasted/uploaded into the Table Browser),\
or to one of the subset tracks such as Common (~15 million variants) or ClinVar (~0.5M variants).\
\
For automated analysis, the track data files can be downloaded from the downloads server for\
hg19 and\
hg38.\
Detailed variant properties, independent of genome assembly version
\
\
\
\
\
Several utilities for working with bigBed-formatted binary files can be downloaded\
here.\
Run a utility with no arguments to see a brief description of the utility and its options.\
\
bigBedInfo provides summary statistics about a bigBed file including the number of\
items in the file. With the -as option, the output includes an\
autoSql\
definition of data columns, useful for interpreting the column values.
\
bigBedToBed converts the binary bigBed data to tab-separated text.\
Output can be restricted to a particular region by using the -chrom, -start\
and -end options.
\
bigBedNamedItems extracts rows for one or more rs# IDs.
\
\
\
\
Example: retrieve all variants in the region chr1:200001-200400
\
The columns in the bigDbSnp/bigBed files and dbSnp153Details.tab.gz file are described in\
bigDbSnp.as and\
dbSnpDetails.as respectively.\
For columns that contain lists of allele frequency data, the order of projects\
providing the data listed is as follows:\
\
UCSC also has an\
API\
that can be used to retrieve values from a particular chromosome range.\
\
A list of rs# IDs can be pasted/uploaded in the\
Variant Annotation Integrator\
tool to find out which genes (if any) the variants are located in,\
as well as functional effect such as intron, coding-synonymous, missense, frameshift, etc.\
\
Please refer to our searchable\
mailing list archives\
for more questions and example queries, or our\
Data Access FAQ\
for more information.\
\
\
varRep 1 compositeTrack on\
group varRep\
html ../dbSnp153Composite\
longLabel Short Genetic Variants from dbSNP release 153\
maxWindowCoverage 4000000\
parent dbSnpArchive on\
priority 0.08\
shortLabel dbSNP 153\
subGroup1 view Views variants=Variants errs=Mapping_Errors\
track dbSnp153Composite\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/snp/$$\
urlLabel dbSNP:\
visibility pack\
dbSnp153ViewErrs Mapping Errors bed 6 + Short Genetic Variants from dbSNP release 153 1 0.08 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 longLabel Short Genetic Variants from dbSNP release 153\
parent dbSnp153Composite\
shortLabel Mapping Errors\
track dbSnp153ViewErrs\
view errs\
visibility dense\
dbSnp153ViewVariants Variants bigDbSnp Short Genetic Variants from dbSNP release 153 1 0.08 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 classFilterType multipleListOr\
classFilterValues snv,mnv,ins,del,delins,identity\
detailsTabUrls _dataOffset=/gbdb/hgFixed/dbSnp/dbSnp153Details.tab.gz\
freqSourceOrder 1000Genomes,GnomAD_exomes,TOPMED,ExAC,PAGE_STUDY,GnomAD,GoESP,Estonian,ALSPAC,TWINSUK,NorthernSweden,Vietnamese\
longLabel Short Genetic Variants from dbSNP release 153\
maxFuncImpactFilterLabel Greatest functional impact on gene\
maxFuncImpactFilterType multipleListOr\
maxFuncImpactFilterValues 0|(not annotated),0865|frameshift,1587|stop_gained,1574|splice_acceptor_variant,1575|splice_donor_variant,1821|inframe_insertion,1583|missense_variant,1590|terminator_codon_variant,1819|synonymous_variant,1580|coding_sequence_variant,1623|5_prime_UTR_variant,1624|3_prime_UTR_variant,1619|nc_transcript_variant,2153|genic_upstream_transcript_variant,1986|upstream_transcript_variant,2152|genic_downstream_transcript_variant,1987|downstream_transcript_variant,1627|intron_variant\
parent dbSnp153Composite\
shortLabel Variants\
showCfg on\
track dbSnp153ViewVariants\
type bigDbSnp\
ucscNotesFilterType multipleListOr\
ucscNotesFilterValues altIsAmbiguous|Alternate allele contains IUPAC ambiguous base(s),classMismatch|Variant class/type is inconsistent with allele sizes,clinvar|Present in ClinVar,clinvarBenign|ClinVar significance of benign and/or likely benign,clinvarConflicting|ClinVar includes both benign and pathogenic reports,clinvarPathogenic|ClinVar significance of pathogenic and/or likely pathogenic,clusterError|Overlaps a variant with the same type/class and position,commonAll|MAF >= 1% in all projects that report frequencies,commonSome|MAF >= 1% in at least one project that reports frequencies,diffMajor|Different projects report different major alleles,freqIncomplete|Frequency reported with incomplete allele data,freqIsAmbiguous|Frequency reported for allele with IUPAC ambiguous base(s),freqNotMapped|Frequency reported on different assembly but not mapped by dbSNP,freqNotRefAlt|Reference genome allele is not major allele in at least one project,multiMap|Variant is placed in more than one genomic position,otherMapErr|Another mapping of this variant has illegal coords (indel mapping error?),overlapDiffClass|Variant overlaps other variant(s) of different type/class,overlapSameClass|Variant overlaps other variant(s) of same type/class but different position,rareAll|MAF < 1% in all projects that report frequencies (or no frequency data),rareSome|MAF < 1% in at least one project that reports frequencies,refIsAmbiguous|Reference genome allele contains IUPAC ambiguous base(s),refIsMinor|Reference genome allele is minor allele in at least one project that reports frequencies,refIsRare|Reference genome allele frequency is <1% in at least one project,refIsSingleton|Reference genome frequency is 0 in all projects that report frequencies,refMismatch|Reference allele mismatches reference genome sequence,revStrand|Variant maps to opposite strand relative to dbSNP's preferred top-level placement\
view variants\
visibility dense\
snp151Common Common SNPs(151) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 151) Found in >= 1% of Samples 0 0.09 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 151, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs that have a minor allele frequency (MAF) of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
Allele counts from all submissions that include frequency data are combined\
when determining MAF, so for example the allele counts from\
the 1000 Genomes Project and an independent submitter may be combined for the\
same variant.\
\
\
dbSNP provides\
download files\
in the\
Variant Call Format (VCF)\
that include a "COMMON" flag in the INFO column. That is determined by a different method,\
and is generally a superset of the UCSC Common set.\
dbSNP uses frequency data from the\
1000 Genomes Project\
only, and considers a variant COMMON if it has a MAF of at least 0.01 in any of the five\
super-populations:\
\
African (AFR)
\
Admixed American (AMR)
\
East Asian (EAS)
\
European (EUR)
\
South Asian (SAS)
\
\
In build 151, dbSNP marks approximately 38M variants as COMMON; 23M of those have a\
global MAF < 0.01. The remainder should be in agreement with UCSC's Common subset.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(151) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(151) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(151) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(151) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b151_SNPContigLoc_N.bcp.gz and\
b151_ContigInfo_N.bcp.gz. (N = 105 for hg19, 108 for hg38)
\
b151_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b151_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
\
GRCh37/hg19, GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp151OrthoPt5Pa2Rm8\
codingAnnotations snp151CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp151Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 151) Found in >= 1% of Samples\
macaqueDb rheMac8\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.09\
shortLabel Common SNPs(151)\
snpExceptionDesc snp151ExceptionDesc\
snpSeq snp151Seq\
track snp151Common\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp151 All SNPs(151) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 151) 0 0.1 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 151, available from\
ftp.ncbi.nlm.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(151): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(151): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(151): SNPs that have been mapped to multiple locations\
in the reference genome assembly. There are very few SNPs in this category\
because dbSNP has been filtering out almost all multiple-mapping SNPs since\
build 149.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(151) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(151) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(151) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(151) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b151_SNPContigLoc_N.bcp.gz and\
b151_ContigInfo_N.bcp.gz. (N = 105 for hg19, 108 for hg38)
\
b151_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b151_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
\
GRCh37/hg19, GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp151OrthoPt5Pa2Rm8\
codingAnnotations snp151CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp151\
longLabel Simple Nucleotide Polymorphisms (dbSNP 151)\
macaqueDb rheMac8\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.1\
shortLabel All SNPs(151)\
track snp151\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp151Flagged Flagged SNPs(151) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 151) Flagged by dbSNP as Clinically Assoc 0 0.1 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 151, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at\
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(151) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(151) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(151) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(151) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b151_SNPContigLoc_N.bcp.gz and\
b151_ContigInfo_N.bcp.gz. (N = 105 for hg19, 108 for hg38)
\
b151_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b151_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
\
GRCh37/hg19, GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp151OrthoPt5Pa2Rm8\
codingAnnotations snp151CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp151Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 151) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac8\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.1\
shortLabel Flagged SNPs(151)\
snpExceptionDesc snp151ExceptionDesc\
snpSeq snp151Seq\
track snp151Flagged\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp151Mult Mult. SNPs(151) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 151) That Map to Multiple Genomic Loci 0 0.1 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 151, available from\
ftp.ncbi.nlm.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(151): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(151): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(151): SNPs that have been mapped to multiple locations\
in the reference genome assembly. There are very few SNPs in this category\
because dbSNP has been filtering out almost all multiple-mapping SNPs since\
build 149.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(151) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(151) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(151) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(151) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b151_SNPContigLoc_N.bcp.gz and\
b151_ContigInfo_N.bcp.gz. (N = 105 for hg19, 108 for hg38)
\
b151_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b151_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
\
GRCh37/hg19, GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 150, available from\
ftp.ncbi.nlm.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(150): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(150): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(150): SNPs that have been mapped to multiple locations\
in the reference genome assembly. There are very few SNPs in this category\
because dbSNP has been filtering out almost all multiple-mapping SNPs since\
build 149.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(150) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(150) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(150) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(150) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b150_SNPContigLoc_N.bcp.gz and\
b150_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b150_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b150_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp150OrthoPt5Pa2Rm8\
codingAnnotations snp150CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp150\
longLabel Simple Nucleotide Polymorphisms (dbSNP 150)\
macaqueDb rheMac8\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.2\
shortLabel All SNPs(150)\
track snp150\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp150Common Common SNPs(150) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 150) Found in >= 1% of Samples 0 0.2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 150, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs that have a minor allele frequency (MAF) of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
Allele counts from all submissions that include frequency data are combined\
when determining MAF, so for example the allele counts from\
the 1000 Genomes Project and an independent submitter may be combined for the\
same variant.\
\
\
dbSNP provides\
download files\
in the\
Variant Call Format (VCF)\
that include a "COMMON" flag in the INFO column. That is determined by a different method,\
and is generally a superset of the UCSC Common set.\
dbSNP uses frequency data from the\
1000 Genomes Project\
only, and considers a variant COMMON if it has a MAF of at least 0.01 in any of the five\
super-populations:\
\
African (AFR)
\
Admixed American (AMR)
\
East Asian (EAS)
\
European (EUR)
\
South Asian (SAS)
\
\
In build 151 (which has replaced build 150 on the dbSNP web and download site),\
dbSNP marks approximately 38M variants as COMMON; 23M of those have a\
global MAF < 0.01. The remainder should be in agreement with UCSC's Common subset.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(150) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(150) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(150) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(150) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b150_SNPContigLoc_N.bcp.gz and\
b150_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b150_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b150_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp150OrthoPt5Pa2Rm8\
codingAnnotations snp150CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp150Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 150) Found in >= 1% of Samples\
macaqueDb rheMac8\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.2\
shortLabel Common SNPs(150)\
snpExceptionDesc snp150ExceptionDesc\
snpSeq snp150Seq\
track snp150Common\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp150Flagged Flagged SNPs(150) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 150) Flagged by dbSNP as Clinically Assoc 0 0.2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 150, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at\
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(150) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(150) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(150) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(150) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b150_SNPContigLoc_N.bcp.gz and\
b150_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b150_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b150_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro5\
chimpOrangMacOrthoTable snp150OrthoPt5Pa2Rm8\
codingAnnotations snp150CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp150Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 150) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac8\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.2\
shortLabel Flagged SNPs(150)\
snpExceptionDesc snp150ExceptionDesc\
snpSeq snp150Seq\
track snp150Flagged\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp150Mult Mult. SNPs(150) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 150) That Map to Multiple Genomic Loci 0 0.2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 150, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
Since build 149, dbSNP has been filtering out almost all such "SNPs" so\
there are very few items in this track.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 150 tracks which have a maximum weight of 1.\
That enables these multiply-mapped SNPs to appear in the display, while\
by default they will not appear in the All SNPs(150) track because of its\
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(150) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(150) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(150) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(150) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by \
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors.\
If a SNP has more than one of these attributes, the stronger color will override \
the weaker color. The order of colors, from strongest to weakest, is red, green, \
blue, gray, and black.\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build\
147, weight had values 1, 2 or 3, with 1 being the highest quality\
(mapped to a single genomic location). As of dbSNP build 147, dbSNP\
now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b150_SNPContigLoc_N.bcp.gz and\
b150_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b150_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b150_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 147, available from\
ftp.ncbi.nlm.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(147): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(147): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(147): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(147) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(147) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(147) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(147) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build \
\ 147, weight had values 1, 2 or 3, with 1 being the highest quality \
\ (mapped to a single genomic location). As of dbSNP build 147, dbSNP \
\ now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b147_SNPContigLoc_N.bcp.gz and\
b147_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b147_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b147_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp147OrthoPt4Pa2Rm3\
codingAnnotations snp147CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp147\
longLabel Simple Nucleotide Polymorphisms (dbSNP 147)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.4\
shortLabel All SNPs(147)\
track snp147\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp147Common Common SNPs(147) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 147) Found in >= 1% of Samples 0 0.4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 147, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(147) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(147) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(147) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(147) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build \
\ 147, weight had values 1, 2 or 3, with 1 being the highest quality \
\ (mapped to a single genomic location). As of dbSNP build 147, dbSNP \
\ now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b147_SNPContigLoc_N.bcp.gz and\
b147_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b147_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b147_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp147OrthoPt4Pa2Rm3\
codingAnnotations snp147CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp147Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 147) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.4\
shortLabel Common SNPs(147)\
snpExceptionDesc snp147ExceptionDesc\
snpSeq snp147Seq\
track snp147Common\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp147Flagged Flagged SNPs(147) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 147) Flagged by dbSNP as Clinically Assoc 0 0.4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 147, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at\
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(147) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(147) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(147) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(147) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build \
\ 147, weight had values 1, 2 or 3, with 1 being the highest quality \
\ (mapped to a single genomic location). As of dbSNP build 147, dbSNP \
\ now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b147_SNPContigLoc_N.bcp.gz and\
b147_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b147_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b147_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp147OrthoPt4Pa2Rm3\
codingAnnotations snp147CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp147Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 147) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.4\
shortLabel Flagged SNPs(147)\
snpExceptionDesc snp147ExceptionDesc\
snpSeq snp147Seq\
track snp147Flagged\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp147Mult Mult. SNPs(147) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 147) That Map to Multiple Genomic Loci 0 0.4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 147, available from\
ftp.ncbi.nlm.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 147 tracks which have a maximum weight of 1.\
That enables these multiply-mapped SNPs to appear in the display, while\
by default they will not appear in the All SNPs(147) track because of its\
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(147) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(147) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(147) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(147) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP. Before dbSNP build \
\ 147, weight had values 1, 2 or 3, with 1 being the highest quality \
\ (mapped to a single genomic location). As of dbSNP build 147, dbSNP \
\ now releases only the variants with weight 1.\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period >= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b147_SNPContigLoc_N.bcp.gz and\
b147_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b147_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b147_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 146, available from\
ftp.ncbi.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(146): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(146): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(146): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(146) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(146) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(146) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(146) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b146_SNPContigLoc_N.bcp.gz and\
b146_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b146_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b146_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp146OrthoPt4Pa2Rm3\
codingAnnotations snp146CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp146\
longLabel Simple Nucleotide Polymorphisms (dbSNP 146)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.5\
shortLabel All SNPs(146)\
track snp146\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp146Common Common SNPs(146) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 146) Found in >= 1% of Samples 0 0.5 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 146, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(146) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(146) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(146) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(146) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b146_SNPContigLoc_N.bcp.gz and\
b146_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b146_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b146_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp146OrthoPt4Pa2Rm3\
codingAnnotations snp146CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp146Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 146) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.5\
shortLabel Common SNPs(146)\
snpExceptionDesc snp146ExceptionDesc\
snpSeq snp146Seq\
track snp146Common\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp146Flagged Flagged SNPs(146) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 146) Flagged by dbSNP as Clinically Assoc 0 0.5 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 146, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at\
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(146) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(146) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(146) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(146) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b146_SNPContigLoc_N.bcp.gz and\
b146_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b146_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b146_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp146OrthoPt4Pa2Rm3\
codingAnnotations snp146CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp146Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 146) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.5\
shortLabel Flagged SNPs(146)\
snpExceptionDesc snp146ExceptionDesc\
snpSeq snp146Seq\
track snp146Flagged\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp146Mult Mult. SNPs(146) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 146) That Map to Multiple Genomic Loci 0 0.5 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 146, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 146 tracks which have a maximum weight of 1.\
That enables these multiply-mapped SNPs to appear in the display, while\
by default they will not appear in the All SNPs(146) track because of its\
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(146) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(146) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(146) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(146) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b146_SNPContigLoc_N.bcp.gz and\
b146_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b146_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b146_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 144, available from\
ftp.ncbi.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(144): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(144): SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(144): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic\
locations will be omitted from display. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(144) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(144) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(144) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(144) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b144_SNPContigLoc_N.bcp.gz and\
b144_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b144_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b144_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp144OrthoPt4Pa2Rm3\
codingAnnotations snp144CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp144\
longLabel Simple Nucleotide Polymorphisms (dbSNP 144)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.6\
shortLabel All SNPs(144)\
snpSeqFile /gbdb/hg19/snp/snp144.fa\
track snp144\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp144Common Common SNPs(144) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 144) Found in >= 1% of Samples 0 0.6 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 144, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(144) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(144) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(144) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(144) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b144_SNPContigLoc_N.bcp.gz and\
b144_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b144_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b144_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp144OrthoPt4Pa2Rm3\
codingAnnotations snp144CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp144Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 144) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.6\
shortLabel Common SNPs(144)\
snpExceptionDesc snp144ExceptionDesc\
snpSeq snp144Seq\
snpSeqFile /gbdb/hg19/snp/snp144.fa\
track snp144Common\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp144Flagged Flagged SNPs(144) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 144) Flagged by dbSNP as Clinically Assoc 0 0.6 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 144, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP,\
mapped to a single location in the reference genome assembly, and\
not known to have a minor allele frequency of at\
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(144) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(144) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(144) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(144) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b144_SNPContigLoc_N.bcp.gz and\
b144_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b144_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b144_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp144OrthoPt4Pa2Rm3\
codingAnnotations snp144CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp144Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 144) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.6\
shortLabel Flagged SNPs(144)\
snpExceptionDesc snp144ExceptionDesc\
snpSeq snp144Seq\
snpSeqFile /gbdb/hg19/snp/snp144.fa\
track snp144Flagged\
trackHandler snp125\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp144Mult Mult. SNPs(144) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 144) That Map to Multiple Genomic Loci 0 0.6 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the\
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 144, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences\
map to multiple locations in the reference genome, it calls into question\
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 144 tracks which have a maximum weight of 1.\
That enables these multiply-mapped SNPs to appear in the display, while\
by default they will not appear in the All SNPs(144) track because of its\
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(144) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(144) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly,\
flagged in dbSnp as "clinically associated"\
-- not necessarily a risk allele!
\
Mult. SNPs(144) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(144) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width\
of a single base, and multiple nucleotide variants are represented by a\
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the\
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies\
that may indicate a problem with the mapping, and reports them in the\
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have\
\ been mapped to this location, with either the same inserted\
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences\
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele\
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic -\
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at\
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes\
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed -\
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have\
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic\
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include\
allele frequencies and the study's sample size\
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are\
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to\
particular gene sets. Choose the gene sets from the list on the SNP\
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to.\
When one or more gene tracks are selected, the SNP details page\
lists all genes that the SNP hits (or is close to), with the same keywords\
used in the function category. The function usually\
agrees with NCBI's function, except when NCBI's functional annotation is\
relative to an XM_* predicted RefSeq (not included in the UCSC Genome\
Browser's RefSeq Genes track) and/or UCSC's functional annotation is\
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking\
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences\
to the neighboring genomic sequence for display on SNP details pages.\
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking\
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b144_SNPContigLoc_N.bcp.gz and\
b144_ContigInfo_N.bcp.gz. (N = 105 for hg19, 107 for hg38)
\
b144_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from\
b144_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and\
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document\
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies.\
We use our liftOver utility to identify the orthologous alleles.\
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the\
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use\
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19,\
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 142, available from\
ftp.ncbi.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(142): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(142): SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(142): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic \
locations will be omitted from display. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(142) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(142) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(142) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(142) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b142_SNPContigLoc_N.bcp.gz and\
b142_ContigInfo_N.bcp.gz. (N = 105 for hg19, 106 for hg38)
\
b142_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b142_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp142OrthoPt4Pa2Rm3\
codingAnnotations snp142CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp142\
longLabel Simple Nucleotide Polymorphisms (dbSNP 142)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.7\
shortLabel All SNPs(142)\
snpSeqFile /gbdb/hg19/snp/snp142.fa\
track snp142\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp142Common Common SNPs(142) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 142) Found in >= 1% of Samples 0 0.7 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 142, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(142) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(142) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(142) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(142) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b142_SNPContigLoc_N.bcp.gz and\
b142_ContigInfo_N.bcp.gz. (N = 105 for hg19, 106 for hg38)
\
b142_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b142_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp142OrthoPt4Pa2Rm3\
codingAnnotations snp142CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp142Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 142) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.7\
shortLabel Common SNPs(142)\
snpExceptionDesc snp142ExceptionDesc\
snpSeq snp142Seq\
snpSeqFile /gbdb/hg19/snp/snp142.fa\
track snp142Common\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp142Flagged Flagged SNPs(142) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 142) Flagged by dbSNP as Clinically Assoc 0 0.7 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 142, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at \
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(142) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(142) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(142) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(142) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b142_SNPContigLoc_N.bcp.gz and\
b142_ContigInfo_N.bcp.gz. (N = 105 for hg19, 106 for hg38)
\
b142_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b142_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp142OrthoPt4Pa2Rm3\
codingAnnotations snp142CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp142Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 142) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.7\
shortLabel Flagged SNPs(142)\
snpExceptionDesc snp142ExceptionDesc\
snpSeq snp142Seq\
snpSeqFile /gbdb/hg19/snp/snp142.fa\
track snp142Flagged\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp142Mult Mult. SNPs(142) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 142) That Map to Multiple Genomic Loci 0 0.7 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 142, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 142 tracks which have a maximum weight of 1. \
That enables these multiply-mapped SNPs to appear in the display, while \
by default they will not appear in the All SNPs(142) track because of its \
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(142) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(142) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(142) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(142) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b142_SNPContigLoc_N.bcp.gz and\
b142_ContigInfo_N.bcp.gz. (N = 105 for hg19, 106 for hg38)
\
b142_SNPMapInfo_N.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b142_SNPContigLocusId_N.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 141, available from\
ftp.ncbi.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(141): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(141): SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(141): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic \
locations will be omitted from display. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(141) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(141) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(141) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(141) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b141_SNPContigLoc.bcp.gz and \
b141_ContigInfo.bcp.gz.
\
b141_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b141_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp141OrthoPt4Pa2Rm3\
codingAnnotations snp141CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp141\
longLabel Simple Nucleotide Polymorphisms (dbSNP 141)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.8\
shortLabel All SNPs(141)\
snpSeqFile /gbdb/hg19/snp/snp141.fa\
track snp141\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp141Common Common SNPs(141) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 141) Found in >= 1% of Samples 0 0.8 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 141, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(141) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(141) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(141) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(141) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b141_SNPContigLoc.bcp.gz and \
b141_ContigInfo.bcp.gz.
\
b141_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b141_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp141OrthoPt4Pa2Rm3\
codingAnnotations snp141CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp141Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 141) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.8\
shortLabel Common SNPs(141)\
snpExceptionDesc snp141ExceptionDesc\
snpSeq snp141Seq\
snpSeqFile /gbdb/hg19/snp/snp141.fa\
track snp141Common\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
dbSnp155Composite dbSNP 155 bed 3 Short Genetic Variants from dbSNP release 155 3 0.8 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$
Description
\
\
This track shows short genetic variants\
(up to approximately 50 base pairs) from\
dbSNP\
build 155:\
single-nucleotide variants (SNVs),\
small insertions, deletions, and complex deletion/insertions (indels),\
relative to the reference genome assembly.\
Most variants in dbSNP are rare, not true polymorphisms,\
and some variants are known to be pathogenic.\
\
For hg38 (GRCh38), approximately 998 million distinct variants\
(RefSNP clusters with rs# ids)\
have been mapped to more than 1.06 billion genomic locations\
including alternate haplotype and fix patch sequences.\
dbSNP remapped variants from hg38 to hg19 (GRCh37);\
approximately 981 million distinct variants were mapped to\
more than 1.02 billion genomic locations\
including alternate haplotype and fix patch sequences (not\
all of which are included in UCSC's hg19).\
\
\
This track includes four subtracks of variants:\
\
All dbSNP (155): the entire set (1.02 billion for hg19, 1.06 billion for hg38)\
\
Common dbSNP (155): approximately 15 million variants with a minor allele\
frequency (MAF) of at least 1% (0.01) in the 1000 Genomes Phase 3 dataset.\
Variants in the Mult. subset (below) are excluded.\
\
ClinVar dbSNP (155): approximately 820,000 variants mentioned in ClinVar.\
Note: that includes both benign and pathogenic (as well as uncertain) variants.\
Variants in the Mult. subset (below) are excluded.\
\
Mult. dbSNP (155): variants that have been mapped to multiple chromosomes,\
for example chr1 and chr2,\
raising the question of whether the variant is really a variant or just a difference\
between duplicated sequences.\
There are some exceptions in which a variant is mapped to more than one reference\
sequence, but not culled into this set:\
\
A variant may appear in both X and Y\
pseudo-autosomal regions (PARs) without being included in this set.\
\
A variant may also appear in a main chromosome as well as an alternate haplotype\
or fix patch sequence assigned to that chromosome.\
\
\
\
\
\
\
A fifth subtrack highlights coordinate ranges to which dbSNP mapped a variant but with genomic\
coordinates that are not internally consistent, i.e. different coordinate ranges were provided\
when describing different alleles. This can occur due to a bug with mapping variants from one\
assembly sequence to another when there is an indel difference between the assembly sequences:\
\
Map Err (155): around 134,000 mappings of 88,000 distinct rsIDs for hg19\
and 178,000 mappings of 108,000 distinct rsIDs for hg38.\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
SNVs and pure deletions are displayed as boxes covering the affected base(s).\
Pure insertions are drawn as single-pixel tickmarks between\
the base before and the base after the insertion.\
\
Insertions and/or deletions in repetitive regions may be represented by a half-height box\
showing uncertainty in placement, followed by a full-height box showing the number of deleted\
bases, or a full-height tickmark to indicate an insertion.\
When an insertion or deletion falls in a repetitive region, the placement may be ambiguous.\
For example, if the reference genome contains "TAAAG" but some\
individuals have "TAAG" at the same location, then the variant is a deletion of a single\
A relative to the reference genome.\
However, which A was deleted? There is no way to tell whether the first, second or third A\
was removed.\
Different variant mapping tools may place the deletion at different bases in the reference genome.\
To reduce errors in merging variant calls made with different left vs. right biases,\
dbSNP made a major change in its representation of deletion/insertion variants in build 152.\
Now, instead of assigning a single-base genomic location at one of the A's,\
dbSNP expands the coordinates to encompass the whole repetitive region,\
so the variant is represented as a deletion of 3 A's combined with an insertion of 2 A's.\
In the track display, there will be a half-height box covering the first two A's,\
followed by a full-height box covering the third A, to show a net loss of one base\
but an uncertain placement within the three A's.\
\
\
Variants are colored according to functional effect on genes annotated by dbSNP:\
\
\
Protein-altering variants and splice site variants are\
red.\
Synonymous codon variants are\
green.\
\
Non-coding transcript or Untranslated Region (UTR) variants are\
blue.\
\
\
On the track controls page, several variant properties can be included or excluded from\
the item labels:\
rs# identifier assigned by dbSNP,\
reference/alternate alleles,\
major/minor alleles (when available) and\
minor allele frequency (when available).\
Allele frequencies are reported independently by the project\
(some of which may have overlapping sets of samples):\
\
\
1000Genomes:\
The 1000 Genomes dataset contains data for 2,504 individuals from 26 populations.\
\
\
dbGaP_PopFreq:\
The new source of dbGaP aggregated frequency data (>1 Million Subjects) provided by dbSNP.\
\
\
TOPMED:\
The TOPMED dataset contains freeze 8 panel that includes about 158,000 individuals. The approximate ethnic breakdown is European(41%), African (31%), Hispanic or Latino (15%), East Asian (9%), and unknown (4%) ancestry.\
\
\
KOREAN:\
The Korean Reference Genome Database contains data for 1,465 Korean individuals.\
\
\
SGDP_PRJ:\
The Simons Genome Diversity Project dataset contains 263 C-panel fully public samples and 16 B-panel\
fully public samples for a total of 279 samples.\
\
\
Qatari:\
The dataset contains initial mappings of the genomes of more than 1,000 Qatari nationals.\
\
\
NorthernSweden:\
The dataset contains 300 whole-genome sequenced human samples from the county of Vasterbotten in\
northern Sweden.\
\
\
Siberian:\
The dataset contains paired-end whole-genome sequencing data of 28 modern-day humans from Siberia\
and Western Russia.\
\
\
TWINSUK:\
The UK10K - TwinsUK project contains 1854 samples from the Department of Twin Research and Genetic Epidemiology (DTR). The dataset contains data obtained from the 11,000 identical and non-identical twins between the ages of 16 and 85 years old.\
\
\
TOMMO:\
The Tohoku Medical Megabank Project contains an allele frequency panel of 3552 Japanese individuals,\
including the X chromosome.\
\
\
ALSPAC:\
The UK10K - Avon Longitudinal Study of Parents and Children project contains 1927 sample including individuals obtained from the ALSPAC population. This population contains more than 14,000 mothers enrolled during pregnancy in 1991 and 1992.\
\
\
GENOME_DK:\
The dataset contains the sequencing of Danish parent-offspring trios to determine genomic variation\
within the Danish population.\
\
\
GnomAD:\
The gnomAD genome dataset includes a catalog containing 602M SNVs and 105M indels based on the\
whole-genome sequencing of 71,702 samples mapped to the GRCh38 build of the human reference genome.\
\
\
GoNL:\
The Genome of the Netherlands (GoNL) Project characterizes DNA sequence variation, common and rare,\
for SNVs and short insertions and deletions (indels) and large deletions in 769 individuals of Dutch\
ancestry selected from five biobanks under the auspices of the Dutch hub of the Biobanking and\
Biomolecular Research Infrastructure (BBMRI-NL).\
\
\
Estonian:\
The dataset contains genetic variation in the Estonian population: pharmacogenomics study of adverse\
drug effects using electronic health records.\
\
\
Vietnamese:\
The Kinh Vietnamese database contains 24.81 million variants (22.47 million single nucleotide\
polymorphisms (SNPs) and 2.34 million indels), of which 0.71 million variants are novel.\
\
\
Korea1K:\
The dataset contains 1,094 Korean personal genomes with clinical information.\
\
\
HapMap:\
(HapMap is being retired.) The International HapMap Project contains samples from African, Asian,\
or European populations.\
\
\
PRJEB36033:\
The dataset contains ancient Sardinia genome-wide 1240k capture data from 70 ancient Sardinians.\
\
\
HGDP_Stanford:\
The Stanford HGDP SNP genotyping data consists of ~660,918 tag SNPs in autosomes, chromosome X and\
Y, the pseudoautosomal region, and mitochondrial DNA, typed across 1043 individuals from all panel\
populations.\
\
\
Daghestan:\
The dataset contains genotypes of >550 000 autosomal single-nucleotide polymorphisms (SNPs) in a\
set of 14 population isolates speaking Nakh-Daghestanian (ND) languages.\
\
\
PAGE_STUDY:\
The PAGE Study: How Genetic Diversity Improves Our Understanding of the Architecture of Complex Traits.\
\
\
Chileans:\
The dataset consists of genetic variation on the Chileans using genotype data on ~685,944 SNPs from\
313 individuals across the whole-continental country.\
\
\
MGP:\
MGP contains aggregated information on 267 healthy individuals, representative of the Spanish population that were used as controls in the MGP (Medical Genome Project).\
\
\
PRJEB37584:\
The dataset contains genome-wide genotype analysis that identified copy number variations in cranial\
meningiomas in Chinese patients, and demonstrated diverse CNV burdens among individuals with diverse clinical features.\
\
\
GoESP:\
The NHLBI Grand Opportunity Exome Sequencing Project (GO-ESP) dataset contains 6503 samples drawn from multiple ESP cohorts and represents all of the ESP exome variant data.\
\
\
ExAC:\
The Exome Aggregation Consortium (ExAC) dataset contains 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. Individuals affected by severe pediatric disease have been removed.\
\
\
GnomAD_exomes:\
The gnomAD v2.1 exome dataset comprises a total of 16 million SNVs and 1.2 million indels from\
125,748 exomes in 14 populations.\
\
\
FINRISK:\
The FINRISK cohorts comprise the respondents of representative, cross-sectional population surveys\
that are carried out every 5 years since 1972, to assess the risk factors of chronic diseases (e.g.\
CVD, diabetes, obesity, cancer) and health behavior in the working age population.\
\
\
PharmGKB:\
The dataset contains aggregated frequency data for all PharmGKB submissions.\
\
\
PRJEB37766:\
The Mexican Genomic Database for Addiction Research.\
\
\
\
The project from which to take allele frequency data defaults to 1000 Genomes\
but can be set to any of those projects.\
\
\
Using the track controls, variants can be filtered by\
\
Variant is in ClinVar with clinical significance of benign and/or likely benign.\
\
\
\
clinvarConflicting
\
16925
\
16834
\
Variant is in ClinVar with reports of both benign and pathogenic significance.\
\
\
\
clinvarPathogenic
\
56373
\
56475
\
Variant is in ClinVar with clinical significance of pathogenic and/or likely pathogenic.\
\
\
\
commonAll
\
14904503
\
15862783
\
Variant is "common", i.e. has a Minor Allele Frequency of at least 1% in all projects reporting frequencies.\
\
\
\
commonSome
\
59633864
\
62095091
\
Variant is "common", i.e. has a Minor Allele Frequency of at least 1% in some, but not all, projects reporting frequencies.\
\
\
\
diffMajor
\
12748733
\
13073288
\
Different frequency sources have different major alleles.\
\
\
\
overlapDiffClass
\
198945442
\
207101421
\
This variant overlaps another variant with a different type/class.\
\
\
\
overlapSameClass
\
29281958
\
30301090
\
This variant overlaps another with the same type/class but different start/end.\
\
\
\
rareAll
\
906113910
\
938985356
\
Variant is "rare", i.e. has a Minor Allele Frequency of less than 1% in all projects reporting frequencies, or has no frequency data.\
\
\
\
rareSome
\
950843271
\
985217664
\
Variant is "rare", i.e. has a Minor Allele Frequency of less than 1% in some, but not all, projects reporting frequencies, or has no frequency data.\
\
\
\
revStrand
\
5540864
\
6770772
\
Alleles are displayed on the + strand at the current position. dbSNP's alleles are displayed on the + strand of a different assembly sequence, so dbSNP's variant page shows alleles that are reverse-complemented with respect to the alleles displayed above.\
\
\
\
\
\
while others may indicate that the reference genome contains a rare variant or sequencing issue:\
\
\
keyword in data file (dbSnp155.bb)
\
# in hg19
# in hg38
description
\
\
\
refIsAmbiguous
\
19
\
41
\
The reference genome allele contains an IUPAC ambiguous base (e.g. 'R' for 'A or G', or 'N' for 'any base').\
\
\
\
refIsMinor
\
14950212
\
15386394
\
The reference genome allele is not the major allele in at least one project.\
\
\
\
refIsRare
\
793081
\
822757
\
The reference genome allele is rare (i.e. allele frequency < 1%).\
\
\
\
refIsSingleton
\
694310
\
712794
\
The reference genome allele has never been observed in a population sequencing project reporting frequencies.\
\
\
\
refMismatch
\
1
\
18
\
The reference genome allele reported by dbSNP differs from the GenBank assembly sequence. This is very rare and in all cases observed so far, the GenBank assembly has an 'N' while the RefSeq assembly used by dbSNP has a less ambiguous character such as 'R'.\
\
\
\
\
\
and others may indicate an anomaly or problem with the variant data:\
\
\
keyword in data file (dbSnp155.bb)
\
# in hg19
# in hg38
description
\
\
\
altIsAmbiguous
\
5294
\
5361
\
At least one alternate allele contains an IUPAC ambiguous base (e.g. 'R' for 'A or G'). For alleles containing more than one ambiguous base, this may create a combinatoric explosion of possible alleles.\
\
\
\
classMismatch
\
13289
\
18475
\
Variation class/type is inconsistent with alleles mapped to this genome assembly.\
\
\
\
clusterError
\
373258
\
459130
\
This variant has the same start, end and class as another variant; they probably should have been merged into one variant.\
\
\
\
freqIncomplete
\
0
\
0
\
At least one project reported counts for only one allele which implies that at least one allele is missing from the report; that project's frequency data are ignored.\
\
\
\
freqIsAmbiguous
\
4332
\
4399
\
At least one allele reported by at least one project that reports frequencies contains an IUPAC ambiguous base.\
\
\
\
freqNotMapped
\
1149972
\
1141935
\
At least one project reported allele frequencies relative to a different assembly; However, dbSNP does not include a mapping of this variant to that assembly, which implies a problem with mapping the variant across assemblies. The mapping on this assembly may have an issue; evaluate carefully vs. original submissions, which you can view by clicking through to dbSNP above.\
\
\
\
freqNotRefAlt
\
74139
\
110646
\
At least one allele reported by at least one project that reports frequencies does not match any of the reference or alternate alleles listed by dbSNP.\
\
\
\
multiMap
\
799777
\
286666
\
This variant has been mapped to more than one distinct genomic location.\
\
\
\
otherMapErr
\
91260
\
195051
\
At least one other mapping of this variant has erroneous coordinates. The mapping(s) with erroneous coordinates are excluded from this track and are included in the Map Err subtrack. Sometimes despite this mapping having legal coordinates, there may still be an issue with this mapping's coordinates and alleles; you may want to click through to dbSNP to compare the initial submission's coordinates and alleles. In hg19, 55454 distinct rsIDs are affected; in hg38, 86636. \
\
\
\
\
Data Sources and Methods
\
\
dbSNP has collected genetic variant reports from researchers worldwide for \
more than 20 years.\
Since the advent of next-generation sequencing methods and the population sequencing efforts\
that they enable, dbSNP has grown exponentially, requiring a new data schema, computational pipeline,\
web infrastructure, and download files.\
(Holmes et al.)\
The same challenges of exponential growth affected UCSC's presentation of dbSNP variants,\
so we have taken the opportunity to change our internal representation and import pipeline.\
Most notably, flanking sequences are no longer provided by dbSNP,\
because most submissions have been genomic variant calls in VCF format as opposed to\
independent sequences.\
\
\
We downloaded JSON files available from dbSNP at\
http://ftp.ncbi.nlm.nih.gov/snp/archive/b155/JSON/,\
extracted a subset of the information about each variant, and collated\
it into a bigBed file using the\
bigDbSnp.as schema with the information\
necessary for filtering and displaying the variants,\
as well as a separate file containing more detailed information to be\
displayed on each variant's details page\
(dbSnpDetails.as schema).\
\
Data Access
\
\
Note: It is not recommeneded to use LiftOver to convert SNPs between assemblies,\
and more information about how to convert SNPs between assemblies can be found on the following\
FAQ entry.
\
\
Since dbSNP has grown to include over 1 billion variants, the size of the All dbSNP (155)\
subtrack can cause the\
Table Browser and\
Data Integrator\
to time out, leading to a blank page or truncated output,\
unless queries are restricted to a chromosomal region, to particular defined regions, to a specific set \
of rs# IDs (which can be pasted/uploaded into the Table Browser),\
or to one of the subset tracks such as Common (~15 million variants) or ClinVar (~0.8M variants).\
\
For automated analysis, the track data files can be downloaded from the downloads server for\
hg19 and\
hg38.\
Detailed variant properties, independent of genome assembly version
\
\
\
\
\
Several utilities for working with bigBed-formatted binary files can be downloaded\
here.\
Run a utility with no arguments to see a brief description of the utility and its options.\
\
bigBedInfo provides summary statistics about a bigBed file including the number of\
items in the file. With the -as option, the output includes an\
autoSql\
definition of data columns, useful for interpreting the column values.
\
bigBedToBed converts the binary bigBed data to tab-separated text.\
Output can be restricted to a particular region by using the -chrom, -start\
and -end options.
\
bigBedNamedItems extracts rows for one or more rs# IDs.
\
\
\
\
Example: retrieve all variants in the region chr1:200001-200400
\
The columns in the bigDbSnp/bigBed files and dbSnp155Details.tab.gz file are described in\
bigDbSnp.as and\
dbSnpDetails.as respectively.\
\
For columns that contain lists of allele frequency data, the order of projects\
providing the data listed is as follows:\
\
\
The functional effect (maxFuncImpact) for each variant contains the\
Sequence\
Ontology (SO) ID for the greatest functional impact on the gene. This field\
contains a 0 when no SO terms are annotated on the variant.\
\
UCSC also has an\
API\
that can be used to retrieve values from a particular chromosome range.\
\
A list of rs# IDs can be pasted/uploaded in the\
Variant Annotation Integrator\
tool to find out which genes (if any) the variants are located in,\
as well as functional effect such as intron, coding-synonymous, missense, frameshift, etc.\
\
Please refer to our searchable\
mailing list archives\
for more questions and example queries, or our\
Data Access FAQ\
for more information.\
\
\
varRep 1 compositeTrack on\
group varRep\
longLabel Short Genetic Variants from dbSNP release 155\
maxWindowCoverage 4000000\
priority 0.8\
shortLabel dbSNP 155\
subGroup1 view Views variants=Variants errs=Mapping_Errors\
track dbSnp155Composite\
type bed 3\
url https://www.ncbi.nlm.nih.gov/snp/$$\
urlLabel dbSNP:\
visibility pack\
snp141Flagged Flagged SNPs(141) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 141) Flagged by dbSNP as Clinically Assoc 0 0.8 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 141, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at \
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks:\
\
Common SNPs(141) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(141) - SNPs < 1% minor allele frequency (MAF) (or unknown),\
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
Mult. SNPs(141) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(141) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is\
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is\
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b141_SNPContigLoc.bcp.gz and \
b141_ContigInfo.bcp.gz.
\
b141_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b141_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download:\
GRCh37/hg19, \
GRCh38/hg38.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exclude problematic SNPs.\
\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp141OrthoPt4Pa2Rm3\
codingAnnotations snp141CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../snp141Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 141) Flagged by dbSNP as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.8\
shortLabel Flagged SNPs(141)\
snpExceptionDesc snp141ExceptionDesc\
snpSeq snp141Seq\
snpSeqFile /gbdb/hg19/snp/snp141.fa\
track snp141Flagged\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
dbSnp155ViewErrs Mapping Errors bed 3 Short Genetic Variants from dbSNP release 155 1 0.8 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 longLabel Short Genetic Variants from dbSNP release 155\
parent dbSnp155Composite\
shortLabel Mapping Errors\
track dbSnp155ViewErrs\
view errs\
visibility dense\
dbSnp155ViewVariants Variants bigDbSnp Short Genetic Variants from dbSNP release 155 1 0.8 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 classFilterType multipleListOr\
classFilterValues snv,mnv,ins,del,delins,identity\
detailsTabUrls _dataOffset=/gbdb/hgFixed/dbSnp/dbSnp155Details.tab.gz\
freqSourceOrder 1000Genomes,dbGaP_PopFreq,TOPMED,KOREAN,SGDP_PRJ,Qatari,NorthernSweden,Siberian,TWINSUK,TOMMO,ALSPAC,GENOME_DK,GnomAD,GoNL,Estonian,Vietnamese,Korea1K,HapMap,PRJEB36033,HGDP_Stanford,Daghestan,PAGE_STUDY,Chileans,MGP,PRJEB37584,GoESP,ExAC,GnomAD_exomes,FINRISK,PharmGKB,PRJEB37766\
longLabel Short Genetic Variants from dbSNP release 155\
maxFuncImpactFilterLabel Greatest functional impact on gene\
maxFuncImpactFilterType multipleListOr\
maxFuncImpactFilterValues 0|(not annotated),0865|frameshift,1587|stop_gained,1574|splice_acceptor_variant,1575|splice_donor_variant,1821|inframe_insertion,1583|missense_variant,1590|terminator_codon_variant,1819|synonymous_variant,1580|coding_sequence_variant,1623|5_prime_UTR_variant,1624|3_prime_UTR_variant,1619|nc_transcript_variant,2|genic_upstream_transcript_variant,1986|upstream_transcript_variant,2152|genic_downstream_transcript_variant,1987|downstream_transcript_variant,1627|intron_variant\
parent dbSnp155Composite\
shortLabel Variants\
track dbSnp155ViewVariants\
type bigDbSnp\
ucscNotesFilterType multipleListOr\
ucscNotesFilterValues altIsAmbiguous|Alternate allele contains IUPAC ambiguous base(s),classMismatch|Variant class/type is inconsistent with allele sizes,clinvar|Present in ClinVar,clinvarBenign|ClinVar significance of benign and/or likely benign,clinvarConflicting|ClinVar includes both benign and pathogenic reports,clinvarPathogenic|ClinVar significance of pathogenic and/or likely pathogenic,clusterError|Overlaps a variant with the same type/class and position,commonAll|MAF >= 1% in all projects that report frequencies,commonSome|MAF >= 1% in at least one project that reports frequencies,diffMajor|Different projects report different major alleles,freqIncomplete|Frequency reported with incomplete allele data,freqIsAmbiguous|Frequency reported for allele with IUPAC ambiguous base(s),freqNotMapped|Frequency reported on different assembly but not mapped by dbSNP,freqNotRefAlt|Reference genome allele is not major allele in at least one project,multiMap|Variant is placed in more than one genomic position,otherMapErr|Another mapping of this variant has illegal coords (indel mapping error?),overlapDiffClass|Variant overlaps other variant(s) of different type/class,overlapSameClass|Variant overlaps other variant(s) of same type/class but different position,rareAll|MAF < 1% in all projects that report frequencies (or no frequency data),rareSome|MAF < 1% in at least one project that reports frequencies,refIsAmbiguous|Reference genome allele contains IUPAC ambiguous base(s),refIsMinor|Reference genome allele is minor allele in at least one project that reports frequencies,refIsRare|Reference genome allele frequency is <1% in at least one project,refIsSingleton|Reference genome frequency is 0 in all projects that report frequencies,refMismatch|Reference allele mismatches reference genome sequence,revStrand|Variant maps to opposite strand relative to dbSNP's preferred top-level placement\
view variants\
visibility dense\
snp138 All SNPs(138) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 138) 0 0.9 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 138, available from\
ftp.ncbi.nih.gov/snp.\
\
\
Three tracks contain subsets of the items in this track:\
\
Common SNPs(138): SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs(138): SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs(138): SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic \
locations will be omitted from display. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The remainder of this page is identical on the following tracks for all assemblies and versions:\
\
Common SNPs(138) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(138) - SNPs < 1% minor allele frequency (MAF) (or unknown), \
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
\
Mult. SNPs(138) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(138) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is \
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is \
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b138_SNPContigLoc.bcp.gz and \
b138_ContigInfo.bcp.gz.
\
b138_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b138_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for\
download.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exlcude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp138OrthoPt4Pa2Rm3\
codingAnnotations snp138CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html snp138\
longLabel Simple Nucleotide Polymorphisms (dbSNP 138)\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.9\
shortLabel All SNPs(138)\
snpSeqFile /gbdb/hg19/snp/snp138.fa\
track snp138\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp138Common Common SNPs(138) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 138) Found in >= 1% of Samples 0 0.9 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 138, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have a minor allele frequency of at least 1% and\
are mapped to a single location in the reference genome assembly are\
included in this subset. Frequency data are not available for all SNPs,\
so this subset is incomplete.\
\
\
The selection of SNPs with a minor allele frequency of 1% or greater\
is an attempt to identify variants that appear to be reasonably common\
in the general population. Taken as a set, common variants should be\
less likely to be associated with severe genetic diseases due to the\
effects of natural selection,\
following the view that deleterious variants are not likely to become\
common in the population.\
However, the significance of any particular variant should be interpreted\
only by a trained medical geneticist using all available information.\
\
\
The remainder of this page is identical on the following tracks for all assemblies and versions:\
\
Common SNPs(138) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(138) - SNPs < 1% minor allele frequency (MAF) (or unknown), \
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
\
Mult. SNPs(138) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(138) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is \
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is \
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b138_SNPContigLoc.bcp.gz and \
b138_ContigInfo.bcp.gz.
\
b138_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b138_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for\
download.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exlcude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp138OrthoPt4Pa2Rm3\
codingAnnotations snp138CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html ../../snp138Common\
longLabel Simple Nucleotide Polymorphisms (dbSNP 138) Found in >= 1% of Samples\
macaqueDb rheMac3\
maxWindowToDraw 10000000\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.9\
shortLabel Common SNPs(138)\
snpExceptionDesc snp138ExceptionDesc\
snpSeq snp138Seq\
snpSeqFile /gbdb/hg19/snp/snp138.fa\
track snp138Common\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp138Flagged Flagged SNPs(138) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 138) Flagged as Clinically Assoc 0 0.9 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 138, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at \
least 1%, are included in this subset.\
Frequency data are not available for all SNPs, so this subset probably\
includes some SNPs whose true minor allele frequency is 1% or greater.\
\
\
The significance of any particular variant in this track should be\
interpreted only by a trained medical geneticist using all available\
information. For example, some variants are included in this track\
because of their inclusion in a Locus-Specific Database (LSDB) or\
mention in OMIM, but are not thought to be disease-causing, so\
inclusion of a variant in this track is not necessarily an indicator\
of risk. Again, all available information must be carefully considered\
by a qualified professional.\
\
\
The remainder of this page is identical on the following tracks for all assemblies and versions:\
\
Common SNPs(138) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(138) - SNPs < 1% minor allele frequency (MAF) (or unknown), \
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
\
Mult. SNPs(138) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(138) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is \
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is \
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b138_SNPContigLoc.bcp.gz and \
b138_ContigInfo.bcp.gz.
\
b138_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b138_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for\
download.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exlcude problematic SNPs.\
\
\
\
varRep 1 chimpDb panTro4\
chimpOrangMacOrthoTable snp138OrthoPt4Pa2Rm3\
codingAnnotations snp138CodingDbSnp,\
defaultGeneTracks knownGene\
group varRep\
hapmapPhase III\
html snp138Flagged\
longLabel Simple Nucleotide Polymorphisms (dbSNP 138) Flagged as Clinically Assoc\
macaqueDb rheMac3\
orangDb ponAbe2\
parent dbSnpArchive\
priority 0.9\
shortLabel Flagged SNPs(138)\
snpExceptionDesc snp138ExceptionDesc\
snpSeq snp138Seq\
snpSeqFile /gbdb/hg19/snp/snp138.fa\
track snp138Flagged\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
snp138Mult Mult. SNPs(138) bed 6 + Simple Nucleotide Polymorphisms (dbSNP 138) That Map to Multiple Genomic Loci 0 0.9 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$
Description
\
\
\
This track contains information about a subset of the \
single nucleotide polymorphisms\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP\
build 138, available from\
ftp.ncbi.nih.gov/snp.\
Only SNPs that have been mapped to multiple locations in the reference\
genome assembly are included in this subset. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
The default maximum weight for this track is 3,\
unlike the other dbSNP build 138 tracks which have a maximum weight of 1. \
That enables these multiply-mapped SNPs to appear in the display, while \
by default they will not appear in the All SNPs(138) track because of its \
maximum weight filter.\
\
\
The remainder of this page is identical on the following tracks for all assemblies and versions:\
\
Common SNPs(138) - SNPs with >= 1% minor allele frequency (MAF), mapping\
only once to reference assembly.
\
Flagged SNPs(138) - SNPs < 1% minor allele frequency (MAF) (or unknown), \
mapping only once to reference assembly, \
flagged in dbSnp as "clinically associated" \
-- not necessarily a risk allele!
\
\
Mult. SNPs(138) - SNPs mapping in more than one place on reference assembly.
\
All SNPs(138) - all SNPs from dbSNP mapping to reference assembly.
\
\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is \
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is \
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from b138_SNPContigLoc.bcp.gz and \
b138_ContigInfo.bcp.gz.
\
b138_SNPMapInfo.bcp.gz provided the alignment weights.\
Functional classification was obtained from \
b138_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for\
download.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exlcude problematic SNPs.\
\
\
This track shows multiple alignments of 100 vertebrate\
species and measurements of evolutionary conservation using\
two methods (phastCons and phyloP) from the\
\
PHAST package, for all species.\
The multiple alignments were generated using multiz and\
other tools in the UCSC/Penn State Bioinformatics\
comparative genomics alignment pipeline.\
Conserved elements identified by phastCons are also displayed in\
this track.\
PHAST/Multiz are built from chains ("alignable") and nets ("syntenic"),\
see the documentation of the Chain/Net tracks for a description of the complete\
alignment process.\
\
\
PhastCons is a hidden Markov model-based method that estimates the probability that each\
nucleotide belongs to a conserved element, based on the multiple alignment.\
It considers not just each individual alignment column, but also its\
flanking columns. By contrast, phyloP separately measures conservation at\
individual columns, ignoring the effects of their neighbors. As a\
consequence, the phyloP plots have a less smooth appearance than the\
phastCons plots, with more "texture" at individual sites. The two methods\
have different strengths and weaknesses. PhastCons is sensitive to "runs"\
of conserved sites, and is therefore effective for picking out conserved\
elements. PhyloP, on the other hand, is more appropriate for evaluating\
signatures of selection at particular nucleotides or classes of nucleotides\
(e.g., third codon positions, or first positions of miRNA target sites).\
\
\
Another important difference is that phyloP can measure acceleration\
(faster evolution than expected under neutral drift) as well as\
conservation (slower than expected evolution). In the phyloP plots, sites\
predicted to be conserved are assigned positive scores (and shown in blue),\
while sites predicted to be fast-evolving are assigned negative scores (and\
shown in red). The absolute values of the scores represent -log p-values\
under a null hypothesis of neutral evolution. The phastCons scores, by\
contrast, represent probabilities of negative selection and range between 0\
and 1.\
\
\
Both phastCons and phyloP treat alignment gaps and unaligned nucleotides as\
missing data, and both were run with the same parameters.\
\
\
\
UCSC has repeatmasked and aligned all genome assemblies, and\
provides all the sequences for download. For genome assemblies\
not available in the genome browser, there are alternative assembly hub\
genome browsers. Missing sequence in any assembly\
is highlighted in the track display by regions of yellow when\
zoomed out and by Ns when displayed at base level (see Gap Annotation, below).
\
Table 1.Genome assemblies included in the 100-way Conservation track. \
\
\
Display Conventions and Configuration
\
\
In full and pack display modes, conservation scores are displayed as a\
wiggle track (histogram) in which the height reflects the\
size of the score.\
The conservation wiggles can be configured in a variety of ways to\
highlight different aspects of the displayed information.\
Click the Graph configuration help link for an explanation\
of the configuration options.
\
\
Pairwise alignments of each species to the human genome are\
displayed below the conservation histogram as a grayscale density plot (in\
pack mode) or as a wiggle (in full mode) that indicates alignment quality.\
In dense display mode, conservation is shown in grayscale using\
darker values to indicate higher levels of overall conservation\
as scored by phastCons.
\
\
Checkboxes on the track configuration page allow selection of the\
species to include in the pairwise display.\
Note that excluding species from the pairwise display does not alter the\
the conservation score display.
\
\
To view detailed information about the alignments at a specific\
position, zoom the display in to 30,000 or fewer bases, then click on\
the alignment.
\
\
Gap Annotation
\
\
The Display chains between alignments configuration option\
enables display of gaps between alignment blocks in the pairwise alignments in\
a manner similar to the Chain track display. The following\
conventions are used:\
\
Single line: No bases in the aligned species. Possibly due to a\
lineage-specific insertion between the aligned blocks in the human genome\
or a lineage-specific deletion between the aligned blocks in the aligning\
species.\
Double line: Aligning species has one or more unalignable bases in\
the gap region. Possibly due to excessive evolutionary distance between\
species or independent indels in the region between the aligned blocks in both\
species.\
Pale yellow coloring: Aligning species has Ns in the gap region.\
Reflects uncertainty in the relationship between the DNA of both species, due\
to lack of sequence in relevant portions of the aligning species.\
\
\
Genomic Breaks
\
\
Discontinuities in the genomic context (chromosome, scaffold or region) of the\
aligned DNA in the aligning species are shown as follows:\
\
\
Vertical blue bar: Represents a discontinuity that persists indefinitely\
on either side, e.g. a large region of DNA on either side of the bar\
comes from a different chromosome in the aligned species due to a large scale\
rearrangement.\
\
Green square brackets: Enclose shorter alignments consisting of DNA from\
one genomic context in the aligned species nested inside a larger chain of\
alignments from a different genomic context. The alignment within the\
brackets may represent a short misalignment, a lineage-specific insertion of a\
transposon in the human genome that aligns to a paralogous copy somewhere\
else in the aligned species, or other similar occurrence.\
\
\
Base Level
\
\
When zoomed-in to the base-level display, the track shows the base\
composition of each alignment. The numbers and symbols on the Gaps\
line indicate the lengths of gaps in the human sequence at those\
alignment positions relative to the longest non-human sequence.\
If there is sufficient space in the display, the size of the gap is shown.\
If the space is insufficient and the gap size is a multiple of 3, a\
"*" is displayed; other gap sizes are indicated by "+".
\
\
Codon translation is available in base-level display mode if the\
displayed region is identified as a coding segment. To display this annotation,\
select the species for translation from the pull-down menu in the Codon\
Translation configuration section at the top of the page. Then, select one of\
the following modes:\
\
\
No codon translation: The gene annotation is not used; the bases are\
displayed without translation.\
\
Use default species reading frames for translation: The annotations from\
the genome displayed in the Default species to establish reading frame\
pull-down menu are used to translate all the aligned species present in the\
alignment.\
\
Use reading frames for species if available, otherwise no translation:\
Codon translation is performed only for those species where the region is\
annotated as protein coding.\
Use reading frames for species if available, otherwise use default species:\
Codon translation is done on those species that are annotated as being protein\
coding over the aligned region using species-specific annotation; the remaining\
species are translated using the default species annotation.\
\
\
Codon translation uses the following gene tracks as the basis for translation:\
\
\
Gene Track
Species
\
UCSC Genes
Human, Mouse
\
RefSeq Genes
Cow, Frog (X. tropicalis)
\
Ensembl Genes v73
Atlantic cod, Bushbaby, Cat, Chicken, Chimp, Coelacanth, Dog, Elephant, Ferret, Fugu, Gorilla, Horse, Lamprey, Little brown bat, Lizard, Mallard duck, Marmoset, Medaka, Orangutan, Panda, Pig, Platypus, Rat, Soft-shell Turtle, Southern platyfish, Squirrel, Tasmanian devil, Tetraodon, Zebrafish
\
no annotation
Aardvark, Alpaca, American alligator, Armadillo, Baboon, Bactrian camel, Big brown bat, Black flying-fox, Brush-tailed rat, Budgerigar, Burton's mouthbreeder, Cape elephant shrew, Cape golden mole, Chinchilla, Chinese hamster, Chinese tree shrew, Collared flycatcher, Crab-eating macaque, David's myotis (bat), Dolphin, Domestic goat, Gibbon, Golden hamster, Green monkey, Green seaturtle, Hedgehog, Killer whale, Lesser Egyptian jerboa, Manatee, Medium ground finch, Mexican tetra (cavefish), Naked mole-rat, Nile tilapia, Pacific walrus, Painted turtle, Parrot, Peregrine falcon, Pika, Prairie vole, Princess of Burundi, Pundamilia nyererei, Rhesus, Rock pigeon, Saker falcon, Scarlet Macaw, Sheep, Shrew, Spiny softshell turtle, Spotted gar, Squirrel monkey, Star-nosed mole, Tawny puffer fish, Tenrec, Tibetan antelope, Tibetan ground jay, Wallaby, Weddell seal, White rhinoceros, White-throated sparrow, Zebra Mbuna, Zebra finch
\
\
Table 2.Gene tracks used for codon translation.\
\
\
Methods
\
\
Pairwise alignments with the human genome were generated for\
each species using lastz from repeat-masked genomic sequence.\
Pairwise alignments were then linked into chains using a dynamic programming\
algorithm that finds maximally scoring chains of gapless subsections\
of the alignments organized in a kd-tree.\
The scoring matrix and parameters for pairwise alignment and chaining\
were tuned for each species based on phylogenetic distance from the reference.\
High-scoring chains were then placed along the genome, with\
gaps filled by lower-scoring chains, to produce an alignment net.\
For more information about the chaining and netting process and\
parameters for each species, see the description pages for the Chain and Net\
tracks.
\
\
An additional filtering step was introduced in the generation of the 60-way\
conservation track to reduce the number of paralogs and pseudogenes from the\
high-quality assemblies and the suspect alignments from the low-quality\
assemblies:\
the pairwise alignments of high-quality mammalian\
sequences (placental and marsupial) were filtered based on synteny;\
those for 2X mammalian genomes were filtered to retain only\
alignments of best quality in both the target and query ("reciprocal\
best").
\
\
The resulting best-in-genome pairwise alignments\
were progressively aligned using multiz/autoMZ,\
following the tree topology diagrammed above, to produce multiple alignments.\
The multiple alignments were post-processed to\
add annotations indicating alignment gaps, genomic breaks,\
and base quality of the component sequences.\
The annotated multiple alignments, in MAF format, are available for\
bulk download.\
An alignment summary table containing an entry for each\
alignment block in each species was generated to improve\
track display performance at large scales.\
Framing tables were constructed to enable\
visualization of codons in the multiple alignment display.
\
\
Phylogenetic Tree Model
\
\
Both phastCons and phyloP are phylogenetic methods that rely\
on a tree model containing the tree topology, branch lengths representing\
evolutionary distance at neutrally evolving sites, the background distribution\
of nucleotides, and a substitution rate matrix.\
The\
all-species tree model for this track was\
generated using the phyloFit program from the PHAST package\
(REV model, EM algorithm, medium precision) using multiple alignments of\
4-fold degenerate sites extracted from the 60-way alignment\
(msa_view). The 4d sites were derived from the RefSeq (Reviewed+Coding) gene\
set, filtered to select single-coverage long transcripts.\
\
\
This same tree model was used in the phyloP calculations; however, the\
background frequencies were modified to maintain reversibility.\
The resulting tree model:\
all species.\
\
PhastCons Conservation
\
\
The phastCons program computes conservation scores based on a phylo-HMM, a\
type of probabilistic model that describes both the process of DNA\
substitution at each site in a genome and the way this process changes from\
one site to the next (Felsenstein and Churchill 1996, Yang 1995, Siepel and\
Haussler 2005). PhastCons uses a two-state phylo-HMM, with a state for\
conserved regions and a state for non-conserved regions. The value plotted\
at each site is the posterior probability that the corresponding alignment\
column was "generated" by the conserved state of the phylo-HMM. These\
scores reflect the phylogeny (including branch lengths) of the species in\
question, a continuous-time Markov model of the nucleotide substitution\
process, and a tendency for conservation levels to be autocorrelated along\
the genome (i.e., to be similar at adjacent sites). The general reversible\
(REV) substitution model was used. Unlike many conservation-scoring programs,\
phastCons does not rely on a sliding window\
of fixed size; therefore, short highly-conserved regions and long moderately\
conserved regions can both obtain high scores.\
More information about\
phastCons can be found in Siepel et al. 2005.
\
\
The phastCons parameters used were: expected-length=45,\
target-coverage=0.3, rho=0.3.
\
\
PhyloP Conservation
\
\
The phyloP program supports several different methods for computing\
p-values of conservation or acceleration, for individual nucleotides or\
larger elements (\
http://compgen.cshl.edu/phast/). Here it was used\
to produce separate scores at each base (--wig-scores option), considering\
all branches of the phylogeny rather than a particular subtree or lineage\
(i.e., the --subtree option was not used). The scores were computed by\
performing a likelihood ratio test at each alignment column (--method LRT),\
and scores for both conservation and acceleration were produced (--mode\
CONACC).\
\
Conserved Elements
\
\
The conserved elements were predicted by running phastCons with the\
--viterbi option. The predicted elements are segments of the alignment\
that are likely to have been "generated" by the conserved state of the\
phylo-HMM. Each element is assigned a log-odds score equal to its log\
probability under the conserved model minus its log probability under the\
non-conserved model. The "score" field associated with this track contains\
transformed log-odds scores, taking values between 0 and 1000. (The scores\
are transformed using a monotonic function of the form a * log(x) + b.) The\
raw log odds scores are retained in the "name" field and can be seen on the\
details page or in the browser when the track's display mode is set to\
"pack" or "full".\
\
\
Credits
\
This track was created using the following programs:\
\
Alignment tools: lastz (formerly blastz) and multiz by Minmei Hou, Scott Schwartz and Webb\
Miller of the Penn State Bioinformatics Group\
Chaining and Netting: axtChain, chainNet by Jim Kent at UCSC\
Conservation scoring: phastCons, phyloP, phyloFit, tree_doctor, msa_view and\
other programs in PHAST by\
Adam Siepel at Cold Spring Harbor Laboratory (original development\
done at the Haussler lab at UCSC).\
MAF Annotation tools: mafAddIRows by Brian Raney, UCSC; mafAddQRows\
by Richard Burhans, Penn State; genePredToMafFrames by Mark Diekhans, UCSC\
Tree image generator: phyloPng by Galt Barber, UCSC\
Conservation track display: Kate Rosenbloom, Hiram Clawson (wiggle\
display), and Brian Raney (gap annotation and codon framing) at UCSC\
\
\
The phylogenetic tree is based on Murphy et al. (2001) and general\
consensus in the vertebrate phylogeny community. Thanks to Giacomo Bernardi for\
help with the fish relationships.\
CpG islands are associated with genes, particularly housekeeping\
genes, in vertebrates. CpG islands are typically common near\
transcription start sites and may be associated with promoter\
regions. Normally a C (cytosine) base followed immediately by a \
G (guanine) base (a CpG) is rare in\
vertebrate DNA because the Cs in such an arrangement tend to be\
methylated. This methylation helps distinguish the newly synthesized\
DNA strand from the parent strand, which aids in the final stages of\
DNA proofreading after duplication. However, over evolutionary time,\
methylated Cs tend to turn into Ts because of spontaneous\
deamination. The result is that CpGs are relatively rare unless\
there is selective pressure to keep them or a region is not methylated\
for some other reason, perhaps having to do with the regulation of gene\
expression. CpG islands are regions where CpGs are present at\
significantly higher levels than is typical for the genome as a whole.
\
\
\
The unmasked version of the track displays potential CpG islands\
that exist in repeat regions and would otherwise not be visible\
in the repeat masked version.\
\
\
\
By default, only the masked version of the track is displayed. To view the\
unmasked version, change the visibility settings in the track controls at\
the top of this page.\
\
\
Methods
\
\
CpG islands were predicted by searching the sequence one base at a\
time, scoring each dinucleotide (+17 for CG and -1 for others) and\
identifying maximally scoring segments. Each segment was then\
evaluated for the following criteria:\
\
\
\
GC content of 50% or greater
\
\
length greater than 200 bp
\
\
ratio greater than 0.6 of observed number of CG dinucleotides to the expected number on the \
\ basis of the number of Gs and Cs in the segment
\
\
\
\
The entire genome sequence, masking areas included, was\
used for the construction of the track Unmasked CpG.\
The track CpG Islands is constructed on the sequence after\
all masked sequence is removed.\
\
\
The CpG count is the number of CG dinucleotides in the island. \
The Percentage CpG is the ratio of CpG nucleotide bases\
(twice the CpG count) to the length. The ratio of observed to expected \
CpG is calculated according to the formula (cited in \
Gardiner-Garden et al. (1987)):\
\
Obs/Exp CpG = Number of CpG * N / (Number of C * Number of G)
\
\
where N = length of sequence.\
\
The calculation of the track data is performed by the following command sequence:\
\
The unmasked track data is constructed from\
twoBitToFa -noMask output for the twoBitToFa command.\
\
\
Data access
\
\
CpG islands and its associated tables can be explored interactively using the\
REST API, the\
Table Browser or the\
Data Integrator.\
All the tables can also be queried directly from our public MySQL\
servers, with more information available on our\
help page as well as on\
our blog.
These tracks contain information relevant to the regulation of transcription from the \
ENCODE project. The Transcription track shows transcription \
levels assayed by sequencing of polyadenylated RNA from a variety of cell types. The Overlayed\
H3K4Me1 and Overlayed H3K27Ac tracks show where modification of histone proteins\
is suggestive of enhancer and, to a lesser extent, other regulatory activity. These histone \
modifications, particularly H3K4Me1, are quite broad. The actual enhancers are typically just a \
small portion of the area marked by these histone modifications. The Overlay H3K4Me3 \
track shows a histone mark associated with promoters. The DNase Clusters track shows regions \
where the chromatin is hypersensitive to cutting by the DNase enzyme, which has \
been assayed in a large number of cell types. Regulatory regions, in general, tend to be \
DNase sensitive, and promoters are particularly DNase sensitive. \
The Txn Factor ChIP\
tracks show DNA regions where transcription factors, proteins responsible for \
modulating gene transcription, bind as assayed by chromatin immunoprecipitation with antibodies \
specific to the transcription factor followed by sequencing of the precipitated DNA (ChIP-seq).\
\
\
These tracks complement each other and together can shed much light on regulatory DNA. The histone\
marks are informative at a high level, but they have a resolution of just ~200 bases and do not\
provide much in the way of functional detail. The DNase hypersensitive assay is higher in\
resolution at the DNA level and can be done on a large number of cell types since it's just \
a single assay. At the functional level, DNase hypersensitivity suggests that a \
region is very likely to be regulatory in nature, but provides little information beyond that. The transcription \
factor ChIP assay has a high resolution at the DNA level, and, due to the very specific nature \
of the transcription factors, is often informative with respect to functional detail. However, since each \
transcription factor must be assayed separately, the information is\
only available for a limited number of transcription factors on a limited number of cell lines. \
Though each assay has its strengths and weaknesses, the fact that all of these assays are \
relatively independent of each other gives increased confidence when multiple tracks are \
suggesting a regulatory function for a region.\
\
For additional information please click on the hyperlinks for the individual tracks above.\
Also note that additional histone marks and transcription information is available in other\
ENCODE tracks. This integrative Super-track just shows a selection of the most informative data of\
general interest.\
Display conventions
\
\
By default, the transcription and histone mark displays use a transparent overlay method of \
displaying data from a number of cell lines in a single track. Each of the cell lines in this track is associated with a particular\
color, and these colors are relatively light and saturated so\
as to work best with the transparent overlay. Unfortunately, outside the ENCODE Regulation tracks, older cell line\
color conventions are used that don't match the cell line colors used in\
the ENCODE Regulation tracks. The older colors were not used in the\
ENCODE Regulation tracks because they were too dark for the transparent\
overlay. The DNase and Transcription Factor ChIP tracks contain information on so many cell lines that a color convention\
is inadequate. Instead, these tracks show gray boxes where the darkness of \
the box is proportional to the maximum value seen in any cell line in that region. Clicking on\
the item takes you to a details page where the values for each cell line assayed are displayed.\
\
Data Access
\
\
The raw data for ENCODE 3 Regulation tracks can be accessed from\
\
Table Browser or combined with other data-sets through \
Data Integrator. For automated analysis and downloads, the track data files can be downloaded\
from our downloads server or queried \
using the JSON API or \
Public SQL. Individual regions or the whole genome\
annotation can be accessed as text using our utility bigBedToBed. Instructions for \
downloading the utility can be found\
here. That\
utility can also be used to obtain features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/wgEncodeRegDnase/wgEncodeRegDnaseUwA549Hotspot.broadPeak.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
For sorting transcription factor binding sites by cell type, we recommend you use the following\
download\
file for hg19.\
\
\
\
Credits
\
\
Specific labs and contributors for these datasets are listed in the Credits section \
of the individual tracks in this super-track. \
The integrative view presented here was developed by Jim Kent at UCSC.
\
\
Data Use Policy
\
Users may freely download, analyze and publish results based on any ENCODE data without \
restrictions.\
Researchers using unpublished ENCODE data are encouraged to contact the data producers to discuss possible coordinated publications; however, this is optional.
\
Users of ENCODE datasets are requested to cite the ENCODE Consortium and ENCODE\
production laboratory(s) that generated the datasets used, as described in\
Citing ENCODE.\
\
regulation 1 canPack On\
group regulation\
longLabel Integrated Regulation from ENCODE\
priority 1\
shortLabel ENCODE Regulation\
superTrack on show\
track wgEncodeReg\
exacRegions ExAC Regions bigBed 6 ExAC Calling Regions 0 1 0 0 0 127 127 127 0 0 24 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY, varRep 1 bigDataUrl /gbdb/hg19/ExAC/exacCallingRegions.bb\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY\
longLabel ExAC Calling Regions\
parent exac\
shortLabel ExAC Regions\
track exacRegions\
type bigBed 6\
bamSLFeld1 Feld1 Sequence bam Feld1 Sequence Reads 0 1 0 0 0 127 127 127 0 0 0 neandertal 1 longLabel Feld1 Sequence Reads\
parent ntSeqReads\
shortLabel Feld1 Sequence\
subGroups sample=Feld1\
track bamSLFeld1\
fixSeqLiftOverPsl Fix Patches psl Reference Assembly Fix Patch Sequence Alignments 3 1 231 203 21 243 229 138 0 0 0
Description
\
\
\
This track shows alignments of fix patch sequences to\
main chromosome sequences in the reference genome assembly.\
When errors are corrected in the reference genome assembly, the\
Genome Reference Consortium\
(GRC) adds fix patch sequences containing the corrected regions.\
This strikes a balance between providing the most complete and correct genome\
sequence, while maintaining stable chromosome coordinates for the original assembly\
sequences.\
\
\
Fix patches are often associated with incident reports displayed in the GRC Incidents\
track.\
\
The alignments were provided by NCBI as GFF files and translated into the PSL\
representation for browser display by UCSC.\
\
map 1 baseColorDefault diffBases\
baseColorUseSequence db\
color 231,203,21\
darkerLabels on\
group map\
indelDoubleInsert on\
indelQueryInsert on\
longLabel Reference Assembly Fix Patch Sequence Alignments\
pennantIcon p14 black https://genome-blog.gi.ucsc.edu/blog/patches/ "Includes annotations on GRCh38.p14 patch sequences"\
priority 1\
shortLabel Fix Patches\
showCdsAllScales .\
showCdsMaxZoom 10000.0\
showDiffBasesAllScales .\
showDiffBasesMaxZoom 10000.0\
track fixSeqLiftOverPsl\
type psl\
visibility pack\
dhcHumDerDenAncAllFixed Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: All 3 1 0 0 0 127 127 127 0 0 0 denisova 1 color 0,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: All\
parent dhcHumDerDenAncAll\
shortLabel Fxd\
subGroups view=All subset=All freq=Fixed\
track dhcHumDerDenAncAllFixed\
geneHancerRegElementsDoubleElite GH Reg Elems (DE) bigBed 9 + Enhancers and promoters from GeneHancer (Double Elite) 1 1 0 0 0 127 127 127 0 0 0 http://www.genecards.org/Search/Keyword?queryString=$$ regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerRegElementsDoubleElite.hg19.bb\
longLabel Enhancers and promoters from GeneHancer (Double Elite)\
parent ghGeneHancer on\
shortLabel GH Reg Elems (DE)\
subGroups set=a_ELITE view=a_GH\
track geneHancerRegElementsDoubleElite\
wgEncodeGisRnaPetGm12878CytosolPapClustersRep1V2 GM12 cyto pA+ 1 bed 6 + GM12878 cytosol polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel GM12 cyto pA+ 1\
subGroups view=v1Clusters cellType=aGM12878 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878CytosolPapClustersRep1V2\
type bed 6 +\
wgEncodeGisRnaSeqGm12878CytosolPapAlnRep1 GM12 cyto pA+ 1 bam GM12878 cytosol polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS 1 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewAlignments on\
shortLabel GM12 cyto pA+ 1\
subGroups view=Alignments cellType=t1GM12878 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqGm12878CytosolPapAlnRep1\
type bam\
wgEncodeBroadHistoneGm12878H3k4me1StdSig GM12878 bigWig 0 5199 H3K4Me1 Mark (Often Found Near Regulatory Elements) on GM12878 Cells from ENCODE 0 1 255 128 128 255 191 191 0 0 0 regulation 1 color 255,128,128\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on GM12878 Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel GM12878\
track wgEncodeBroadHistoneGm12878H3k4me1StdSig\
type bigWig 0 5199\
wgEncodeBroadHistoneGm12878H3k4me3StdSig GM12878 bigWig 0 52815 H3K4Me3 Mark (Often Found Near Promoters) on GM12878 Cells from ENCODE 0 1 255 128 128 255 191 191 0 0 0 regulation 1 color 255,128,128\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on GM12878 Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel GM12878\
track wgEncodeBroadHistoneGm12878H3k4me3StdSig\
type bigWig 0 52815\
wgEncodeRegTxnCaltechRnaSeqGm12878R2x75Il200SigPooled GM12878 bigWig 0 65535 Transcription of GM12878 cells from ENCODE 0 1 255 128 128 255 191 191 0 0 0 regulation 1 color 255,128,128\
longLabel Transcription of GM12878 cells from ENCODE\
parent wgEncodeRegTxn\
priority 1\
shortLabel GM12878\
track wgEncodeRegTxnCaltechRnaSeqGm12878R2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeRegMarkH3k27acGm12878 GM12878 bigWig 0 223899 H3K27Ac Mark (Often Found Near Regulatory Elements) on GM12878 Cells from ENCODE 2 1 255 128 128 255 191 191 0 0 0 regulation 1 color 255,128,128\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on GM12878 Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel GM12878\
table wgEncodeBroadHistoneGm12878H3k27acStdSig\
track wgEncodeRegMarkH3k27acGm12878\
type bigWig 0 223899\
wgEncodeHaibMethyl450Gm12878SitesRep1 GM12878 bed 9 GM12878 Methylation 450K Bead Array from ENCODE/HAIB 1 1 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel GM12878\
subGroups cellType=t1GM12878 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Gm12878SitesRep1\
type bed 9\
wgEncodeDukeAffyExonGm12878SimpleSignalRep1V2 GM12878 1 bigBed 6 + GM12878 Exon array Signal Rep 1 from ENCODE/Duke 0 1 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel GM12878 1\
subGroups cellType=t1GM12878 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm12878SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibGenotypeGm12878RegionsRep1V2 GM12878 1 bed 9 + GM12878 Copy number variants Replicate 1 from ENCODE/HAIB 0 1 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM12878 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype on\
shortLabel GM12878 1\
subGroups cellType=t1GM12878 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeGm12878RegionsRep1V2\
type bed 9 +\
wgEncodeUwAffyExonArrayGm12878SimpleSignalRep1 GM12878 1 broadPeak GM12878 Exon array Signal Rep 1 from ENCODE/UW 0 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray on\
shortLabel GM12878 1\
subGroups cellType=t1GM12878 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayGm12878SimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsGm12878HaibSitesRep1 GM12878 1 bed 9 + GM12878 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs on\
shortLabel GM12878 1\
subGroups cellType=t1GM12878 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm12878HaibSitesRep1\
type bed 9 +\
wgEncodeGisDnaPetGm12878F1kAln GM12878 1k bam ENCODE GIS DNA PET Alignments (1k frags in GM12878 cells) 1 1 153 38 0 204 146 127 0 0 0 varRep 1 color 153,38,0\
longLabel ENCODE GIS DNA PET Alignments (1k frags in GM12878 cells)\
parent wgEncodeGisDnaPetViewAlignments off\
shortLabel GM12878 1k\
subGroups cellType=t1GM12878 fragSize=a1K\
track wgEncodeGisDnaPetGm12878F1kAln\
wgEncodeAwgTfbsHaibGm12878Atf2sc81188V0422111UniPk GM12878 ATF2 narrowPeak GM12878 TFBS Uniform Peaks of ATF2_(SC-81188) from ENCODE/HudsonAlpha/Analysis 1 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ATF2_(SC-81188) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ATF2\
subGroups tier=a10 cellType=a10GM12878 factor=ATF2 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Atf2sc81188V0422111UniPk\
wgEncodeUncBsuProtGencGm12878CellIngelpepMapGcFt GM12878 Ce bigBed 12 GM12878 In-gel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU 2 1 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 In-gel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel GM12878 Ce\
subGroups view=pepMapGcFt cellType=GM12878 localization=CELL protocol=INGEL\
track wgEncodeUncBsuProtGencGm12878CellIngelpepMapGcFt\
type bigBed 12\
wgEncodeSunyAlbanyGeneStGm12878Celf1RbpAssocRnaV2 GM12878 CELF1 broadPeak GM12878 CELF1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CELF1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel GM12878 CELF1\
subGroups cellType=t1GM12878 factor=CELF1\
track wgEncodeSunyAlbanyGeneStGm12878Celf1RbpAssocRnaV2\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsGm12878CellTotal GM12878 cell tot broadPeak GM12878 whole cell total Microarray Transfrags from ENCODE Affy/CSHL 3 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell total Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel GM12878 cell tot\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=aCELL rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsGm12878CellTotal\
type broadPeak\
wgEncodeAwgSegmentationChromhmmGm12878 GM12878 ChromHMM bed 9 . GM12878 Genome Segmentation by ChromHMM from ENCODE/Analysis 0 1 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel GM12878 ChromHMM\
subGroups tier=t1 cellType=t1GM12878 method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmGm12878\
type bed 9 .\
wgEncodeBroadHmmGm12878HMM GM12878 ChromHMM bed 9 . GM12878 Chromatin State Segmentation by HMM from ENCODE/Broad 0 1 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel GM12878 ChromHMM\
subGroups cellType=t1GM12878\
track wgEncodeBroadHmmGm12878HMM\
type bed 9 .\
wgEncodeOpenChromChipGm12878CmycPk GM12878 cMyc Pk narrowPeak GM12878 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel GM12878 cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CmycPk\
type narrowPeak\
wgEncodeBroadHistoneGm12878CtcfStdPk GM12878 CTCF broadPeak GM12878 CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 CTCF\
subGroups view=Peaks factor=CTCF cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878CtcfStdPk\
type broadPeak\
wgEncodeAwgDnaseUwdukeGm12878UniPk GM12878 DNase narrowPeak GM12878 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel GM12878 DNase\
subGroups tier=a10 cellType=a10GM12878\
track wgEncodeAwgDnaseUwdukeGm12878UniPk\
wgEncodeSunyAlbanyTilingGm12878Elavl1RbpAssocRna GM12878 ELAVL1 broadPeak GM12878 ELAVL1 RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELAVL1 RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel GM12878 ELAVL1\
subGroups view=RbpAssocRna cellType=t1GM12878 antibody=ELAVL1\
track wgEncodeSunyAlbanyTilingGm12878Elavl1RbpAssocRna\
type broadPeak\
wgEncodeSunyRipSeqGm12878Elavl1AlnRep1 GM12878 ELAVL1 1 bam GM12878 ELAVL1 RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELAVL1 RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 ELAVL1 1\
subGroups view=Alignments factor=ELAVL1 cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878Elavl1AlnRep1\
type bam\
wgEncodeOpenChromFaireGm12878Pk GM12878 FAIRE Pk narrowPeak GM12878 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks\
shortLabel GM12878 FAIRE Pk\
subGroups view=Peaks cellType=t1GM12878 treatment=AANONE\
track wgEncodeOpenChromFaireGm12878Pk\
type narrowPeak\
wgEncodeUwRepliSeqGm12878G1bPctSignalRep1 GM12878 G1b 1 bigWig 1.000000 100.000000 GM12878 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 1 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 G1b 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqGm12878G1bPctSignalRep1\
type bigWig 1.000000 100.000000\
gm12878Insitu GM12878 Hi-C hic In situ Hi-C Chromatin Structure on GM12878 0 1 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_GM12878_insitu_primary+replicate_combined.hic\
longLabel In situ Hi-C Chromatin Structure on GM12878\
parent rao2014Hic on\
shortLabel GM12878 Hi-C\
track gm12878Insitu\
type hic\
wgEncodeUwDnaseGm12878HotspotsRep1 GM12878 Ht 1 broadPeak GM12878 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot\
shortLabel GM12878 Ht 1\
subGroups view=Hot cellType=t1GM12878 rep=rep1 treatment=None\
track wgEncodeUwDnaseGm12878HotspotsRep1\
type broadPeak\
wgEncodeUncBsuProtGm12878MembranefractionSig GM12878 membrane peptideMapping GM12878 Membrane Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 1 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Membrane Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel GM12878 membrane\
subGroups view=Signal cellType=t1GM12878 localization=membraneFraction protocol=INGEL\
track wgEncodeUncBsuProtGm12878MembranefractionSig\
type peptideMapping\
visibility full\
wgEncodeOpenChromDnaseGm12878Pk GM12878 Pk narrowPeak GM12878 DNaseI HS Peaks from ENCODE/Duke 3 1 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks\
shortLabel GM12878 Pk\
subGroups view=Peaks cellType=t1GM12878 treatment=zNONE\
track wgEncodeOpenChromDnaseGm12878Pk\
type narrowPeak\
wgEncodeUmassDekker5CGm12878PkV2 GM12878 Pk bed 12 GM12878 5C Peaks from ENCODE/UMass-Dekker 0 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 5C Peaks from ENCODE/UMass-Dekker\
parent wgEncodeUmassDekker5C\
shortLabel GM12878 Pk\
subGroups cellType=t1GM12878 region=NONE\
track wgEncodeUmassDekker5CGm12878PkV2\
type bed 12\
wgEncodeSydhNsomeGm12878Sig GM12878 Sig bigWig 0.000000 16392.599609 GM12878 Nucleosome Signal from ENCODE/Stanford/BYU 2 1 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Nucleosome Signal from ENCODE/Stanford/BYU\
origAssembly hg19\
parent wgEncodeSydhNsomeViewSignal\
shortLabel GM12878 Sig\
subGroups view=Signal cellType=t1GM12878\
track wgEncodeSydhNsomeGm12878Sig\
type bigWig 0.000000 16392.599609\
wgEncodeOpenChromSynthGm12878Pk GM12878 Syn Pk bed 9 + GM12878 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 1 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth\
shortLabel GM12878 Syn Pk\
subGroups cellType=t1GM12878 treatment=aNone\
track wgEncodeOpenChromSynthGm12878Pk\
type bed 9 +\
wgEncodeCaltechRnaSeqGm12878R2x75Il200AlignsRep1V2 GM78 2x75 A 1 bam GM12878 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel GM78 2x75 A 1\
subGroups view=Aligns cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il200AlignsRep1V2\
type bam\
wgEncodeHaibTfbsGm12878Atf2sc81188V0422111PkRep1 GM78 ATF2 V11 1 broadPeak GM12878 ATF2 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ATF2 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ATF2 V11 1\
subGroups view=Peaks factor=ATF2SC81188 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Atf2sc81188V0422111PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Bhlhe40cIggmusPk GM78 BHL4 IgM narrowPeak GM12878 BHLHE40 NB100 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BHLHE40 NB100 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 BHL4 IgM\
subGroups view=Peaks factor=BHLHE40NB100 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Bhlhe40cIggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaAlnRep1 GM78 cel pA- A 1 bam GM12878 whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cel pA- A 1\
subGroups view=Alignments cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapContigs GM78 cell TAP C bed 6 GM12878 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL 2 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs on\
shortLabel GM78 cell TAP C\
subGroups view=Contigs cellType=t1GM12878 localization=CELL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapContigs\
type bed 6\
wgEncodeUwTfbsGm12878CtcfStdHotspotsRep1 GM78 CTCF Ht 1 broadPeak GM12878 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot on\
shortLabel GM78 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t1GM12878 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeRikenCageGm12878CytosolPamTssHmmV2 GM78 cyto pA- bed 6 GM12878 cytosol polyA- CAGE TSS HMM from ENCODE/RIKEN 3 1 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 cyto pA-\
subGroups view=TssHmm cellType=t1GM12878 localization=cytosol rnaExtract=pAM rep=rep0 rank=rankP\
track wgEncodeRikenCageGm12878CytosolPamTssHmmV2\
type bed 6\
wgEncodeUwHistoneGm12878H3k4me3StdHotspotsRep1 GM78 H3K4M3 Ht 1 broadPeak GM12878 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 1 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdHotspotsRep1\
type broadPeak\
gnomadSvFull gnomAD All SV's bigBed 9 + gnomAD Structural Variants All 1 1 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/structuralVariants/gnomad_v2.1_sv.sites.bb\
filter.svlen 50:199840172\
filterByRange.svlen on\
filterLabel.svlen Filter by Variant Size\
filterLabel.svtype Type of Variation\
filterValues.svtype BND|Breakend,CPX|Complex,CTX|Translocation,DEL|Deletion,DUP|Duplication,INS|Insertion,INV|Inversion,MCNV|Multi-allele CNV\
itemRgb on\
longLabel gnomAD Structural Variants All\
mouseOverField _mouseOver\
parent gnomadStructuralVariants on\
searchIndex name\
shortLabel gnomAD All SV's\
showCfg on\
track gnomadSvFull\
type bigBed 9 +\
url https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1\
urlLabel gnomAD Structural Variant Browser\
visibility dense\
pliByGene gnomAD Gene LoF Constraint bigBed 12 + gnomAD Predicted Loss of Function Constraint Metrics By Gene (pLI) v2.1.1 3 1 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/gene/$$?dataset=gnomad_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/pLI/pliByGene.bb\
defaultLabelFields geneName\
filter._pli 0:1\
filterByRange._pli on\
filterLabel._pli Show only items between this pLI range\
itemRgb on\
labelFields name,geneName\
longLabel gnomAD Predicted Loss of Function Constraint Metrics By Gene (pLI) v2.1.1\
mouseOverField _mouseOver\
parent gnomadPLI on\
priority 1\
searchIndex name,geneName\
shortLabel gnomAD Gene LoF Constraint\
track pliByGene\
type bigBed 12 +\
url https://gnomad.broadinstitute.org/gene/$$?dataset=gnomad_r2_1\
urlLabel View this Gene on the gnomAD browser\
gtexGeneV8 GTEx Gene V8 bed 6 + Gene Expression in 54 tissues from GTEx RNA-seq of 17382 samples, 948 donors (V8, Aug 2019) 3 1 0 0 0 127 127 127 1 0 0
Description
\
\
The\
\
NIH Genotype-Tissue Expression (GTEx) project\
was created to establish a sample and data resource for studies on the relationship between \
genetic variation and gene expression in multiple human tissues. \
This track shows median gene expression levels in 52 tissues and 2 cell lines, \
based on RNA-seq data from the GTEx final data release (V8, August 2019).\
This release is based on data from 17,382 tissue samples obtained from 948 adult \
post-mortem individuals.
\
\
Display Conventions
\
\
In Full and Pack display modes, expression for each gene is represented by a colored bargraph,\
where the height of each bar represents the median expression level across all samples for a \
tissue, and the bar color indicates the tissue.\
Tissue colors were assigned to conform to the GTEx Consortium publication conventions.\
\
The bargraph display has the same width and tissue order for all genes.\
Mouse hover over a bar will show the tissue and median expression level.\
The Squish display mode draws a rectangle for each gene, colored to indicate the tissue\
with highest expression level if it contributes more than 10% to the overall expression\
(and colored black if no tissue predominates).\
In Dense mode, the darkness of the grayscale rectangle displayed for the gene reflects the total\
median expression level across all tissues.
\
\
The GTEx transcript model used to quantify expression level is displayed below the graph,\
colored to indicate the transcript class \
(coding, \
noncoding, \
pseudogene, \
problem), \
following GENCODE conventions.\
\
\
Click-through on a graph displays a boxplot of expression level quartiles with outliers, \
per tissue, along with a link to the corresponding gene page on the GTEx Portal.
\
The track configuration page provides controls to limit the genes and tissues displayed,\
and to select raw or log transformed expression level display.\
\
Methods
\
Tissue samples were obtained using the GTEx standard operating procedures for informed consent\
and tissue collection, in conjunction with the \
\
National Cancer Institute Biorepositories and Biospecimen.\
All tissue specimens were reviewed by pathologists to characterize and\
verify organ source.\
Images from stained tissue samples can be viewed via the \
\
NCI histopathology viewer.\
The Qiagen PAXgene non-formalin tissue preservation product was used to stabilize \
tissue specimens without cross-linking biomolecules.\
\
RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center \
(LDACC) at the Broad Institute.\
The Illumina TruSeq protocol was used to create an unstranded polyA+ library sequenced\
on the Illumina HiSeq 2000 and HiSeq 2500 platforms to produce 76-bp paired end reads with a coverage\
goal of 50M (median achieved was ~82M total reads).\
\
Sequence reads were aligned to the hg38/GRCh38 human genome using STAR v2.5.3a\
assisted by the GENCODE 26 transcriptome definition. \
The alignment pipeline is available\
here.\
\
\
Gene annotations were produced using a custom isoform collapsing procedure that excluded\
retained intron and read through transcripts, merged overlapping exon intervals and then excluded\
exon intervals overlapping between genes.\
Gene expression levels in TPM were called via the RNA-SeQC tool (v1.1.9), after filtering for \
unique mapping, proper pairing, and exon overlap.\
For further method details, see the \
\
GTEx Portal Documentation page.
\
\
UCSC obtained the gene-level expression files, gene annotations and sample metadata from the \
GTEx Portal Download page.\
Median expression level in TPM was computed per gene/per tissue.
\
\
Subject and Sample Characteristics
\
\
The scientific goal of the GTEx project required that the donors and their biospecimen \
present with no evidence of disease. \
The tissue types collected were chosen based on their clinical significance, logistical \
feasibility and their relevance to the scientific goal of the project and the \
research community. \
Summary plots of GTEx sample characteristics are available at the \
\
GTEx Portal Tissue Summary page.
\
\
\
Data Access
\
\
The raw data for the GTEx Gene expression track can be accessed interactively through the \
\
Table Browser or Data Integrator. Metadata can be \
found in the connected tables below.\
\
\
gtexGeneModelV8 describes the gene names and coordinates in genePred format.
\
\
hgFixed.gtexTissueV8 lists each of the 53 tissues in alphabetical order,\
corresponding to the comma separated expression values in gtexGeneV8.
\
\
hgFixed.gtexSampleDataV8 has TPM expression scores for each individual gene-sample \
data point, connected to gtexSampleV8.
\
\
hgFixed.gtexSampleV8 contains metadata about sample time, collection site,\
and tissue, connected to the donor field in the gtexDonorV8 table.
\
For automated analysis and downloads, the track data files can be downloaded from \
our downloads server\
or the JSON API.\
Individual regions or the whole genome annotation can be accessed as text using our utility\
bigBedToBed. Instructions for downloading the utility can be found \
here. \
That utility can also be used to obtain features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg38/gtex/gtexGeneV8.bb -chrom=chr21\
-start=0 -end=100000000 stdout
\
Statistical analysis and data interpretation was performed by The GTEx Consortium Analysis \
Working Group. \
Data was provided by the GTEx LDACC at The Broad Institute of MIT and Harvard.
\
\
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jarvis JARVIS bigWig JARVIS: score to prioritize non-coding regions for disease relevance 1 1 150 130 160 202 192 207 0 0 0
Description
\
\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
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filterByRange.score 0:1000\
filterValues.TFName Ahr::Arnt,Alx1,ALX3,Alx4,Ar,ARGFX,Arid3a,Arid3b,Arid5a,Arnt,ARNT2,ARNT::HIF1A,Arntl,Arx,ASCL1,ASCL1,Ascl2,Atf1,ATF2,Atf3,ATF3,ATF4,ATF6,ATF7,Atoh1,Atoh1,ATOH7,BACH1,Bach1::Mafk,BACH2,BACH2,BARHL1,BARHL2,BARX1,BARX2,BATF,BATF3,BATF::JUN,BCL11A,Bcl11B,BCL6,BCL6B,Bhlha15,BHLHA15,BHLHE22,BHLHE22,BHLHE23,BHLHE40,BHLHE41,BNC2,BSX,CDX1,CDX2,CDX4,CEBPA,CEBPB,CEBPD,CEBPE,CEBPG,CEBPG,CLOCK,CREB1,CREB3,CREB3L1,Creb3l2,CREB3L4,CREB3L4,Creb5,CREM,Crx,CTCF,CTCF,CTCF,CTCFL,CUX1,CUX2,DBP,Ddit3::Cebpa,DLX1,Dlx2,Dlx3,Dlx4,Dlx5,DLX6,Dmbx1,Dmrt1,DMRT3,DMRTA1,DMRTA2,DMRTC2,DPRX,DRGX,Dux,DUX4,DUXA,E2F1,E2F2,E2F3,E2F4,E2F6,E2F7,E2F8,EBF1,Ebf2,EBF3,Ebf4,EGR1,EGR2,EGR3,EGR4,EHF,ELF1,ELF2,ELF3,ELF4,Elf5,ELK1,ELK1::HOXA1,ELK1::HOXB13,ELK1::SREBF2,ELK3,ELK4,EMX1,EMX2,EN1,EN2,EOMES,EPAS1,ERF,ERF::FIGLA,ERF::FOXI1,ERF::FOXO1,ERF::HOXB13,ERF::NHLH1,ERF::SREBF2,Erg,ESR1,ESR2,ESRRA,ESRRB,Esrrg,ESX1,ETS1,ETS2,ETV1,ETV2,ETV2::DRGX,ETV2::FIGLA,ETV2::FOXI1,ETV2::HOXB13,ETV3,ETV4,ETV5,ETV5::DRGX,ETV5::FIGLA,ETV5::FOXI1,ETV5::FOXO1,ETV5::HOXA2,ETV6,ETV7,EVX1,EVX2,EWSR1-FLI1,FERD3L,FEV,FEZF2,FIGLA,FLI1,FLI1::DRGX,FLI1::FOXI1,FOS,FOS,FOSB::JUN,FOSB::JUNB,FOSB::JUNB,FOS::JUN,FOS::JUN,FOS::JUNB,FOS::JUND,FOSL1,FOSL1::JUN,FOSL1::JUN,FOSL1::JUNB,FOSL1::JUND,FOSL1::JUND,FOSL2,FOSL2::JUN,FOSL2::JUN,FOSL2::JUNB,FOSL2::JUNB,FOSL2::JUND,FOSL2::JUND,FOXA1,FOXA2,FOXA3,FOXB1,FOXC1,FOXC2,FOXD1,FOXD2,FOXD3,FOXE1,Foxf1,FOXF2,FOXG1,FOXH1,FOXI1,Foxj2,FOXJ2::ELF1,Foxj3,FOXK1,FOXK2,FOXL1,Foxl2,Foxn1,FOXN3,Foxo1,FOXO1::ELF1,FOXO1::ELK1,FOXO1::ELK3,FOXO1::FLI1,Foxo3,FOXO4,FOXO6,FOXP1,FOXP2,FOXP3,FOXP4,Foxq1,FOXS1,GABPA,GATA1,GATA1::TAL1,GATA2,Gata3,GATA4,GATA5,GATA6,GBX1,GBX2,GCM1,GCM2,GFI1,Gfi1B,Gli1,Gli2,GLI3,GLIS1,GLIS2,GLIS3,Gmeb1,GMEB2,GRHL1,GRHL2,GSC,GSC2,GSX1,GSX2,Hand1,Hand1::Tcf3,HAND2,HES1,HES2,HES5,HES6,HES7,HESX1,HEY1,HEY2,Hic1,HIC2,HIF1A,HINFP,HLF,HMBOX1,Hmga1,Hmx1,Hmx2,Hmx3,Hnf1A,HNF1A,HNF1B,HNF4A,HNF4A,HNF4G,HOXA1,HOXA10,Hoxa11,Hoxa13,HOXA2,HOXA3,HOXA4,HOXA5,HOXA6,HOXA7,HOXA9,HOXB1,HOXB13,HOXB2,HOXB2::ELK1,HOXB3,HOXB4,HOXB5,HOXB6,HOXB7,HOXB8,HOXB9,HOXC10,HOXC11,HOXC12,HOXC13,HOXC4,HOXC8,HOXC9,HOXD10,HOXD11,HOXD12,HOXD12::ELK1,Hoxd13,HOXD3,HOXD4,HOXD8,HOXD9,HSF1,HSF2,HSF4,IKZF1,IKZF2,Ikzf3,INSM1,Irf1,IRF2,IRF3,IRF4,IRF5,IRF6,IRF7,IRF8,IRF9,Isl1,ISL2,ISX,JDP2,JDP2,Jun,JUN,JUNB,JUNB,JUND,JUND,JUN::JUNB,JUN::JUNB,KLF1,KLF10,KLF11,KLF12,KLF13,KLF14,KLF15,KLF16,KLF17,KLF2,KLF3,KLF4,KLF5,KLF6,KLF7,KLF9,LBX1,LBX2,Lef1,Lhx1,LHX2,Lhx3,Lhx4,LHX5,LHX6,Lhx8,LHX9,LIN54,LMX1A,LMX1B,MAF,MAFA,Mafb,MAFF,Mafg,MAFG::NFE2L1,MAFK,MAF::NFE2,MAX,MAX::MYC,MAZ,Mecom,MEF2A,MEF2B,MEF2C,MEF2D,MEIS1,MEIS1,MEIS2,MEIS2,MEIS3,MEOX1,MEOX2,MGA,MGA::EVX1,MITF,mix-a,MIXL1,MLX,Mlxip,MLXIPL,MNT,MNX1,MSANTD3,MSC,Msgn1,MSX1,MSX2,Msx3,MTF1,MXI1,MYB,MYBL1,MYBL2,MYC,MYCN,MYF5,MYF6,MYOD1,MYOG,MZF1,Nanog,NEUROD1,Neurod2,Neurod2,NEUROG1,NEUROG2,NEUROG2,Nfat5,Nfatc1,Nfatc2,NFATC3,NFATC4,NFE2,Nfe2l2,NFIA,NFIB,NFIC,NFIC,NFIC::TLX1,NFIL3,NFIX,NFIX,NFKB1,NFKB2,NFYA,NFYB,NFYC,NHLH1,NHLH2,Nkx2-1,NKX2-2,NKX2-3,NKX2-4,NKX2-5,NKX2-8,Nkx3-1,Nkx3-2,NKX6-1,NKX6-2,NKX6-3,Nobox,NOTO,Npas2,Npas4,NR1D1,NR1D2,Nr1H2,NR1H2::RXRA,Nr1h3,Nr1h3::Rxra,Nr1H4,NR1H4::RXRA,NR1I2,NR1I3,NR2C1,NR2C2,NR2C2,Nr2e1,Nr2e3,NR2F1,NR2F1,NR2F1,NR2F2,Nr2f6,Nr2F6,NR2F6,NR3C1,NR3C2,NR4A1,NR4A2,NR4A2::RXRA,NR5A1,Nr5A2,NR6A1,Nrf1,NRL,OLIG1,Olig2,OLIG2,OLIG3,ONECUT1,ONECUT2,ONECUT3,OSR1,OSR2,OTX1,OTX2,OVOL1,OVOL2,PATZ1,PAX1,PAX2,PAX3,PAX3,PAX4,PAX5,PAX6,Pax7,PAX8,PAX9,PBX1,PBX2,PBX3,PDX1,Pgr,PGR,PHOX2A,PHOX2B,PITX1,PITX2,PITX3,PKNOX1,PKNOX2,PLAG1,Plagl1,PLAGL2,POU1F1,POU2F1,POU2F1::SOX2,POU2F2,POU2F3,POU3F1,POU3F2,POU3F3,POU3F4,POU4F1,POU4F2,POU4F3,POU5F1,POU5F1B,Pou5f1::Sox2,POU6F1,POU6F1,POU6F2,Ppara,PPARA::RXRA,PPARD,PPARG,Pparg::Rxra,PRDM1,Prdm14,Prdm15,Prdm4,Prdm5,PRDM9,PROP1,PROX1,PRRX1,PRRX2,Ptf1A,Ptf1A,Ptf1A,RARA,RARA,RARA::RXRA,RARA::RXRG,Rarb,Rarb,RARB,Rarg,Rarg,RARG,RAX,RAX2,RBPJ,REL,RELA,RELB,REST,RFX1,RFX2,RFX3,RFX4,RFX5,Rfx6,RFX7,Rhox11,RHOXF1,RORA,RORA,RORB,RORC,RREB1,Runx1,RUNX2,RUNX3,Rxra,RXRA::VDR,RXRB,RXRB,RXRG,RXRG,SATB1,SCRT1,SCRT2,SHOX,Shox2,SIX1,SIX2,Six3,Six4,SMAD2,SMAD3,Smad4,SMAD5,SNAI1,SNAI2,SNAI3,SOHLH2,Sox1,SOX10,Sox11,SOX12,SOX13,SOX14,SOX15,Sox17,SOX18,SOX2,SOX21,Sox3,SOX4,Sox5,Sox6,Sox7,SOX8,SOX9,SP1,SP2,SP3,SP4,SP5,SP8,SP9,SPDEF,Spi1,SPIB,SPIC,Spz1,SREBF1,SREBF1,SREBF2,SREBF2,SRF,SRY,STAT1,STAT1::STAT2,Stat2,STAT3,Stat4,Stat5a,Stat5a::Stat5b,Stat5b,Stat6,TAL1::TCF3,TBP,TBR1,TBX1,TBX15,TBX18,TBX19,TBX2,TBX20,TBX21,TBX3,TBX4,TBX5,Tbx6,TBXT,Tcf12,TCF12,Tcf21,TCF21,TCF3,TCF4,TCF7,TCF7L1,TCF7L2,TCFL5,TEAD1,TEAD2,TEAD3,TEAD4,TEF,TFAP2A,TFAP2A,TFAP2A,TFAP2B,TFAP2B,TFAP2B,TFAP2C,TFAP2C,TFAP2C,TFAP2E,TFAP4,TFAP4,TFAP4::ETV1,TFAP4::FLI1,TFCP2,Tfcp2l1,TFDP1,TFE3,TFEB,TFEC,TGIF1,TGIF2,TGIF2LX,TGIF2LY,THAP1,Thap11,THRA,THRB,THRB,THRB,TLX2,TP53,TP63,TP73,TRPS1,TWIST1,Twist2,UNCX,USF1,USF2,VAX1,VAX2,Vdr,VENTX,VEZF1,VSX1,VSX2,Wt1,XBP1,Yy1,YY2,ZBED1,ZBED2,ZBED4,ZBTB11,ZBTB12,ZBTB14,ZBTB17,ZBTB18,Zbtb2,ZBTB24,ZBTB26,ZBTB32,ZBTB33,ZBTB6,ZBTB7A,ZBTB7B,ZBTB7C,ZEB1,ZFP14,Zfp335,ZFP42,ZFP57,Zfp809,Zfp961,Zfx,ZIC1,Zic1::Zic2,Zic2,Zic3,ZIC4,ZIC5,ZIM3,ZKSCAN1,ZKSCAN3,ZKSCAN5,ZNF135,ZNF136,ZNF140,ZNF143,ZNF148,ZNF157,ZNF16,ZNF175,ZNF184,ZNF189,ZNF211,ZNF213,ZNF214,ZNF24,ZNF257,ZNF263,ZNF274,ZNF281,ZNF282,ZNF317,ZNF320,ZNF324,ZNF331,ZNF341,ZNF343,ZNF35,ZNF354A,ZNF354C,ZNF382,ZNF384,ZNF410,ZNF416,ZNF417,ZNF418,Znf423,ZNF449,ZNF454,ZNF460,ZNF524,ZNF528,ZNF530,ZNF547,ZNF549,ZNF558,ZNF574,ZNF582,ZNF610,ZNF652,ZNF667,ZNF669,ZNF675,ZNF677,ZNF680,ZNF682,ZNF684,ZNF692,ZNF701,ZNF707,ZNF708,ZNF740,ZNF75A,ZNF75D,ZNF76,ZNF766,ZNF768,ZNF770,ZNF784,ZNF8,ZNF816,ZNF85,ZNF93,ZSCAN16,ZSCAN21,ZSCAN29,ZSCAN31,ZSCAN4\
labelFields TFName\
longLabel JASPAR CORE 2024 - Predicted Transcription Factor Binding Sites\
maxItems 100000\
motifPwmTable hgFixed.jasparCore2024\
parent jaspar on\
pennantIcon New red ../goldenPath/newsarch.html#030524 "New Mar. 5, 2024"\
priority 1\
shortLabel JASPAR 2024 TFBS\
track jaspar2024\
type bigBed 6 +\
visibility pack\
wgEncodeGisChiaPetK562CtcfInteractionsRep1 K562 CTCF Int 1 bed 12 K562 CTCF ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 1 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions on\
shortLabel K562 CTCF Int 1\
subGroups view=Interactions factor=CTCF cellType=t1K562 rep=rep1\
track wgEncodeGisChiaPetK562CtcfInteractionsRep1\
type bed 12\
wgEncodeUchicagoTfbsK562EfosControlPk K562 FOS/GFP Pk narrowPeak K562 FOS GFP-tag TFBS Peaks from ENCODE/UChicago 3 1 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 FOS GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 FOS/GFP Pk\
subGroups view=Peaks factor=FOS cellType=K562 control=ControlFOS rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EfosControlPk\
type narrowPeak\
wgEncodeSydhHistoneK562H3k4me1UcdPk K562 H3K4me1 narrowPeak K562 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 1 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel K562 H3K4me1\
subGroups view=Peaks factor=H3K04ME1 cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k4me1UcdPk\
type narrowPeak\
wgEncodeUwDgfK562Hotspots K562 Hot broadPeak K562 DNaseI DGF Hotspots from ENCODE/UW 0 1 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots on\
shortLabel K562 Hot\
subGroups view=Hotspots cellType=t1K562 treatment=aNONE rep=rep1\
track wgEncodeUwDgfK562Hotspots\
type broadPeak\
wgEncodeSydhRnaSeqK562Ifna30PolyaAln K562 pA+ Na30 bam K562 polyA+ IFNa30 RNA-seq Alignments from ENCODE/SYDH 0 1 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polyA+ IFNa30 RNA-seq Alignments from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewAlignments off\
shortLabel K562 pA+ Na30\
subGroups view=Alignments cellType=t1K562 rnaExtract=polyA treatment=IFNa30\
track wgEncodeSydhRnaSeqK562Ifna30PolyaAln\
type bam\
pgKb1Comb KB1 pgSnp KB1 Genome Variants, combination of 454, Illumina, and genotyping 3 1 0 0 0 127 127 127 0 0 0 varRep 1 longLabel KB1 Genome Variants, combination of 454, Illumina, and genotyping\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel KB1\
subGroups view=A_PSU id=AA_KB1 type=SNP\
track pgKb1Comb\
lovdShort LOVD Variants < 50 bp + ins bigBed 4 + LOVD: Leiden Open Variation Database, short < 50 bp variants and insertions of any length 0 1 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/lovd/lovd.hg19.short.bb\
group phenDis\
longLabel LOVD: Leiden Open Variation Database, short < 50 bp variants and insertions of any length\
noScoreFilter on\
parent lovdComp\
shortLabel LOVD Variants < 50 bp + ins\
track lovdShort\
urls id="https://varcache.lovd.nl/redirect/$$"\
visibility hide\
MaxCounts_Fwd Max counts of CAGE reads (fwd) bigWig Max counts of CAGE reads forward 2 1 255 0 0 255 127 127 0 0 0 regulation 0 bigDataUrl /gbdb/hg19/fantom5/ctssMaxCounts.fwd.bw\
color 255,0,0\
dataVersion FANTOM5 phase2.5\
longLabel Max counts of CAGE reads forward\
parent Max_counts_multiwig\
shortLabel Max counts of CAGE reads (fwd)\
subGroups category=max strand=forward\
track MaxCounts_Fwd\
type bigWig\
maxAFmutA MaxAF Mutation: A bigWig -1.29334 0.75731 BayesDel v1 Score (MaxAF): Mutation is A 2 1 140 202 203 197 228 229 0 0 0
Description
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\
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The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
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BayesDel
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BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
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Note: There are cases in which a genomic position will have one value missing.\
\
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When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
NumtS (Nuclear mitochondrial sequences) are mitochondrial fragments inserted in nuclear genomic sequences. The most credited hypothesis concerning their generation suggests that in presence of mutagenic agents or under stress conditions fragments of mtDNA escape from mitochondria, reach the nucleus and insert into chromosomes during break repair, although NumtS can derive from duplication of genomic fragments. NumtS may be cause of contamination during human mtDNA sequencing and hence frequent false low heteroplasmic evidences have been reported.\
The Bioinformatics group chaired by M.Attimonelli (Bari, Italy) has produced the RHNumtS compilation annotating more than 500 Human NumtS. To allow the scientific community to access to the compilation and to perform genomics comparative analyses inclusive of the NumtS data, the group has designed the Human NumtS tracks below described.\
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The NumtS tracks show the High Score Pairs (HSPs) obtained by aligning the mitochondrial reference genome (NC_012920) with the hg18 release of the human genome.\
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"NumtS (Nuclear mitochondrial Sequences)" Track\
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The "NumtS mitochondrial sequences" track shows the mapping of the HSPs returned by BlastN on the nuclear genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the mitochondrial mapping is provided, thus allowing a fast cross among the NumtS genomic contexts.\
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"NumtS assembled" Track\
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The "NumtS assembled" track shows items obtained by assembling HSPs annotated in the "NumtS" track fulfilling the following conditions:\
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the orientation of their alignments must be concordant.
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the distance between them must be less than 2 kb, on the mitochondrial genome as well as on the nuclear genome.
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Exceptions for the second condition arise when a long repetitive element is present between two HSPs.\
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"NumtS on mitochondrion" Track\
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The "NumtS on mitochondrion" track shows the mapping of the HSPs on the mitochondrial genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the nuclear mapping is provided.\
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"NumtS on mitochondrion with chromosome placement" Track\
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The "NumtS on mitochondrion with chromosome placement" shows the mapping of the HSPs on the mitochondrial genome, but the items are coloured according to the colours assigned to each human chromosome on the UCSC genome browser. No shading is here provided. For every item, a link pointing to the nuclear mapping is provided.\
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Methods
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NumtS mappings were obtained by running Blast2seq (program: BlastN) between each chromosome of of the Human Genome hg18 build and the human mitochondrial reference sequence (rCRS, AC: NC_012920), fixing the e-value threshold to 1e-03. The assembling of the HSPs was performed with spreadsheet interpolation and manual inspection.\
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Verification
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NumtS predicted in silico were validated by carrying out PCR amplification and sequencing on blood-extracted DNA of a healthy individual of European origin. PCR amplification was successful for 275 NumtS and provided amplicons of the expected length. All PCR fragments were sequenced on both strands, and submitted to the EMBL databank.\
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Furthermore, 541 NumtS were validated by merging NumtS nuclear coordinates with HapMap annotations. Our analysis has been carried on eight HapMap individuals (NA18517, NA18507, NA18956, NA19240, NA18555, NA12878, NA19129, NA12156). For each sample, clones with a single best concordant placement (according to the fosmid end-sequence-pair analysis described in Kidd et al., 2008), have been considered. The analysis showed that 541 NumtS (at least 30bp for each one) had been sequenced in such samples.\
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Credits
\
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These data were provided by Domenico Simone and Marcella Attimonelli at Department of Biochemistry and Molecular Biology "Ernesto Quagliariello" (University of Bari, Italy). Primer designing was carried out by Francesco Calabrese and Giuseppe Mineccia. PCR validation was carried out by Martin Lang, Domenico Simone and Giuseppe Gasparre. Merging with HapMap annotations has been performed by Domenico Simone.\
This track is based on text-mining of full-text biomedical articles and includes two types of subtracks:
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Sequences found in publications, grouped by article and searched in genomes with BLAT
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Identifiers in publications that directly relate to chromosome locations (e.g., gene symbols, SNP identifiers, etc)
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Both sources of information are linked to the respective articles.\
Background information on how permission to full-text data was obtained can be found on the project website. \
Display Convention and Configuration
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The sequence subtrack indicates the location of sequences in publications\
mapped back to the genome, annotated with the first author and the year of the\
publication. All matches of one article are grouped ("chained") together.\
Article titles are shown when you move the mouse cursor over the features.\
Thicker parts of the features (exons) represent matching sequences,\
connected by thin lines to matches from the same article within 30 kbp.
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The subtrack "individual sequence matches" activates automatically when\
the user clicks a sequence match and follows the link "Show sequence matches individually" \
from the details page. Mouse-overs show flanking text around the sequence, and clicking\
features links to BLAT alignments.\
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All other subtracks (i.e. bands, genes, SNPs) show the number of matching articles as\
the feature description. Clicking on them shows the sentences and sections in articles \
where the identifiers were found.
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\
The track configuration includes a keyword and year filter. Keywords are space-separated\
and are searched in the article's title, author list, and abstract.
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Data
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The track is based on text from biomedical research articles, obtained as\
part of the UCSC Genocoding Project.
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The current dataset consists of about 600,000 files (main text and\
supplementary files) from PubMed Central (Open-Access set) and around 6 million text\
files (main text) from Elsevier (as part of the Sciverse Apps program).
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\
Methods
\
\
All file types (including XML, raw ASCII, PDFs and various Microsoft\
Office formats (Excel, Word, PowerPoint)) were converted to text. The results were processed \
to find groups of words that look like DNA/RNA sequences or\
words that look like protein sequences. These were then mapped with BLAT to the\
human genome and these model organisms: mouse (mm9), rat (rn4), zebrafish\
(danRer6), Drosophila melanogaster (dm3), X. tropicalis (xenTro2), Medaka\
(oryLat2), C. intestinalis (ci2), C. elegans (ce6) and yeast (sacCer2).\
\
The pipeline roughly proceeds through these steps:\
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For sequences, the best match across all genomes is used, if it is longer than 17 bp and matches at 90% identity. \
Two sets of BLAT parameters are tried, the default ones for sequences longer than 25 bp, very sensitive ones (stepSize=5) for shorter sequences.
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Sequences are mapped to genomic DNA. Those that do not match are mapped to RefSeq cDNAs.
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Hits from the same article that are closer than 30 kbp are\
joined into one feature (shown as exon-blocks on the browser).
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All parts of a joined feature have to match at least 25 bp.
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Non-unique hits are kept in the joined feature with the most members.
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Joined features with identical members in two different genomes are kept in both genomes.
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\
Note that due to the 90% identity filter, some sequences do not match\
anywhere in the genome. Examples include primers with added restriction sites,\
mutation primers, or any other sequence that joins or mixes two pieces of genomic\
DNA not part of RefSeq. Also note that some gene symbols correspond to \
English words which can sometimes lead to many false positives.
\
\
Credits
\
Software and processing by Maximilian Haeussler. UCSC Track visualisation by\
Larry Meyer and Hiram Clawson. Elsevier support by Max Berenstein, Raphael\
Sidi, Judd Dunham, Scott Robbins and colleagues. Original version written at the Bergman Lab,\
University of Manchester, UK. Testing by Mary Mangan, OpenHelix Inc, and Greg Roe, UCSC.
\
\
Feedback
\
Please send ideas, comments or feedback on this track to\
\
max@soe.ucsc.edu.\
\
We are very interested in getting access to more articles from publishers for this\
dataset; see the project website.\
\
\
References
\
\
Aerts S, Haeussler M, van Vooren S, Griffith OL, Hulpiau P, Jones SJ, Montgomery SB, Bergman CM,\
Open Regulatory Annotation Consortium.\
\
Text-mining assisted regulatory annotation.\
Genome Biol. 2008;9(2):R31.\
PMID: 18271954; PMC: PMC2374703\
\
This track represents the ReMap Atlas of regulatory regions, which consists of a\
large-scale integrative analysis of all Public ChIP-seq data for transcriptional\
regulators from GEO, ArrayExpress, and ENCODE. \
\
\
\
Below is a schematic diagram of the types of regulatory regions: \
\
ReMap 2022 Atlas (all peaks for each analyzed data set)
\
ReMap 2022 Non-redundant peaks (merged similar target)
\
ReMap 2022 Cis Regulatory Modules
\
\
\
\
\
\
Display Conventions and Configuration
\
\
\
Each transcription factor follows a specific RGB color.\
\
\
ChIP-seq peak summits are represented by vertical bars.\
\
\
Hsap: A data set is defined as a ChIP/Exo-seq experiment in a given\
GEO/ArrayExpress/ENCODE series (e.g. GSE41561), for a given TF (e.g. ESR1), in\
a particular biological condition (e.g. MCF-7).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE41561.ESR1.MCF-7).\
\
\
Atha: The data set is defined as a ChIP-seq experiment in a given series\
(e.g. GSE94486), for a given target (e.g. ARR1), in a particular biological\
condition (i.e. ecotype, tissue type, experimental conditions; e.g.\
Col-0_seedling_3d-6BA-4h).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE94486.ARR1.Col-0_seedling_3d-6BA-4h).\
\
\
\
Methods
\
\
This 4th release of ReMap (2022) presents the analysis of a total of 8,103 \
quality controlled ChIP-seq (n=7,895) and ChIP-exo (n=208) data sets from public\
sources (GEO, ArrayExpress, ENCODE). The ChIP-seq/exo data sets have been mapped\
to the GRCh38/hg38 human assembly. The data set is defined as a ChIP-seq \
experiment in a given series (e.g. GSE46237), for a given TF (e.g. NR2C2), in a\
particular biological condition (i.e. cell line, tissue type, disease state, or\
experimental conditions; e.g. HELA). Data sets were labeled by concatenating\
these three pieces of information, such as GSE46237.NR2C2.HELA. \ \
\
Those merged analyses cover a total of 1,211 DNA-binding proteins\
(transcriptional regulators) such as a variety of transcription factors (TFs),\
transcription co-activators (TCFs), and chromatin-remodeling factors (CRFs) for\
182 million peaks. \
\
\
\
\
GEO & ArrayExpress
\
\
Public ChIP-seq data sets were extracted from Gene Expression Omnibus (GEO) and\
ArrayExpress (AE) databases. For GEO, the query\
\
'('chip seq' OR 'chipseq' OR\
'chip sequencing') AND 'Genome binding/occupancy profiling by high throughput\
sequencing' AND 'homo sapiens'[organism] AND NOT 'ENCODE'[project]'\
\
was used to return a list of all potential data sets to analyze, which were then manually \
assessed for further analyses. Data sets involving polymerases (i.e. Pol2 and\
Pol3), and some mutated or fused TFs (e.g. KAP1 N/C terminal mutation, GSE27929)\
were excluded.\
\
\
ENCODE
\
\
Available ENCODE ChIP-seq data sets for transcriptional regulators from the\
ENCODE portal were processed with the\
standardized ReMap pipeline. The list of ENCODE data was retrieved as FASTQ files from the\
ENCODE portal\
using the following filters:\
\
Assay: "ChIP-seq"
\
Organism: "Homo sapiens"
\
Target of assay: "transcription factor"
\
Available data: "fastq" on 2016 June 21st
\
\
Metadata information in JSON format and FASTQ files\
were retrieved using the Python requests module.\
\
\
ChIP-seq processing
\
\
Both Public and ENCODE data were processed similarly. Bowtie 2 (PMC3322381) (version 2.2.9) with options -end-to-end -sensitive was used to align all\
reads on the genome. Biological and technical\
replicates for each unique combination of GSE/TF/Cell type or Biological condition\
were used for peak calling. TFBS were identified using MACS2 peak-calling tool\
(PMC3120977) (version 2.1.1.2) in order to follow ENCODE ChIP-seq guidelines,\
with stringent thresholds (MACS2 default thresholds, p-value: 1e-5). An input data\
set was used when available.\
\
\
\
Quality assessment
\
\
To assess the quality of public data sets, a score was computed based on the\
cross-correlation and the FRiP (fraction of reads in peaks) metrics developed by\
the ENCODE Consortium (https://genome.ucsc.edu/ENCODE/qualityMetrics.html). Two\
thresholds were defined for each of the two cross-correlation ratios (NSC,\
normalized strand coefficient: 1.05 and 1.10; RSC, relative strand coefficient:\
0.8 and 1.0). Detailed descriptions of the ENCODE quality coefficients can be\
found at https://genome.ucsc.edu/ENCODE/qualityMetrics.html. The\
phantompeak tools suite was used\
(https://code.google.com/p/phantompeakqualtools/) to compute\
RSC and NSC.\
\
\
Please refer to the ReMap 2022, 2020, and 2018 publications for more details\
(citation below).\
\
\
\
\
Data Access
\
\
ReMap Atlas of regulatory regions data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
Individual BED files for specific TFs, cells/biotypes, or data sets can be\
found and downloaded on the ReMap website.\
\
This track was created by using Arian Smit's\
RepeatMasker\
program, which screens DNA sequences\
for interspersed repeats and low complexity DNA sequences. The program\
outputs a detailed annotation of the repeats that are present in the\
query sequence (represented by this track), as well as a modified version\
of the query sequence in which all the annotated repeats have been masked\
(generally available on the\
Downloads page). RepeatMasker uses the\
Repbase Update library of repeats from the\
Genetic \
Information Research Institute (GIRI).\
Repbase Update is described in Jurka (2000) in the References section below.\
Some newer assemblies have been made with Dfam, not Repbase. You can\
find the details for how we make our database data here in our "makeDb/doc/"\
directory.
\
\
Display Conventions and Configuration
\
\
\
In full display mode, this track displays up to ten different classes of repeats:\
\
Short interspersed nuclear elements (SINE), which include ALUs
\
Long interspersed nuclear elements (LINE)
\
Long terminal repeat elements (LTR), which include retroposons
Other repeats, which includes class RC (Rolling Circle)
\
Unknown
\
\
\
\
\
The level of color shading in the graphical display reflects the amount of\
base mismatch, base deletion, and base insertion associated with a repeat\
element. The higher the combined number of these, the lighter the shading.\
\
\
\
A "?" at the end of the "Family" or "Class" (for example, DNA?) signifies that\
the curator was unsure of the classification. At some point in the future,\
either the "?" will be removed or the classification will be changed.
\
\
Methods
\
\
\
Data are generated using the RepeatMasker -s flag. Additional flags\
may be used for certain organisms. Repeats are soft-masked. Alignments may\
extend through repeats, but are not permitted to initiate in them.\
See the FAQ for more information.\
\
\
Credits
\
\
\
Thanks to Arian Smit, Robert Hubley and GIRI for providing the tools and\
repeat libraries used to generate this track.\
\
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subGroups view=gRDepth\
track gnomadGenomes1XPercentage\
gnomadExomes1XPercentage Sample % > 1X bigWig 0 1 gnomAD Percentage of Exome Samples with at least 1X Coverage 0 1 255 0 0 255 127 127 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.exomes.coverage.depth1.bw\
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longLabel gnomAD Percentage of Exome Samples with at least 1X Coverage\
parent gnomadExomesReadDepthPct off\
priority 1\
shortLabel Sample % > 1X\
subGroups view=eRDepth\
track gnomadExomes1XPercentage\
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longLabel Severe respiratory COVID risk variants from the COVID-19 HGI GWAS Analysis A2 (4336 cases, 12 studies, Rel 4: Oct 2020)\
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decodeSexAveraged Sex Avg bigWig 0.0 108.804 deCODE recombination map, sex-average 2 1 109 51 43 182 153 149 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 109,51,43\
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type bigWig 0.0 108.804\
snpediaAll SNPedia all bigBed 9 + SNPedia all SNPs (including empty pages) 0 1 50 0 100 152 127 177 0 0 0 https://www.snpedia.com/index.php/$$ phenDis 1 bigDataUrl /gbdb/hg19/bbi/snpediaAll.bb\
color 50,0,100\
exonNumbers off\
itemRgb on\
longLabel SNPedia all SNPs (including empty pages)\
mouseOverField note\
parent snpedia\
searchIndex name\
shortLabel SNPedia all\
track snpediaAll\
type bigBed 9 +\
url https://www.snpedia.com/index.php/$$\
urlLabel Link to SNPedia page:\
unipAliSwissprot SwissProt Aln. bigPsl UCSC alignment of SwissProt proteins to genome (dark blue: main isoform, light blue: alternative isoforms) 3 1 0 0 0 127 127 127 0 0 0 genes 1 baseColorDefault genomicCodons\
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searchIndex name,acc\
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skipFields isMain\
track unipAliSwissprot\
type bigPsl\
urls acc="https://www.uniprot.org/uniprot/$$" hgncId="https://www.genenames.org/cgi-bin/gene_symbol_report?hgnc_id=$$" refSeq="https://www.ncbi.nlm.nih.gov/nuccore/$$" refSeqProt="https://www.ncbi.nlm.nih.gov/protein/$$" ncbiGene="https://www.ncbi.nlm.nih.gov/gene/$$" entrezGene="https://www.ncbi.nlm.nih.gov/gene/$$" ensGene="https://www.ensembl.org/Gene/Summary?g=$$"\
visibility pack\
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shortLabel Top 0.001 Depth\
track hiSeqDepthTopPt1Pct\
TotalCounts_Fwd Total counts of CAGE reads (fwd) bigWig Total counts of CAGE reads forward 2 1 255 0 0 255 127 127 0 0 0 regulation 0 bigDataUrl /gbdb/hg19/fantom5/ctssTotalCounts.fwd.bw\
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dataVersion FANTOM5 phase2.5\
longLabel Total counts of CAGE reads forward\
parent Total_counts_multiwig\
shortLabel Total counts of CAGE reads (fwd)\
subGroups category=total strand=forward\
track TotalCounts_Fwd\
type bigWig\
knownGene UCSC Genes genePred knownGenePep knownGeneMrna UCSC Genes (RefSeq, GenBank, CCDS, Rfam, tRNAs & Comparative Genomics) 3 1 12 12 120 133 133 187 0 0 0
Description
\
\
The UCSC Genes track is a set of gene predictions based on data from RefSeq, GenBank, CCDS,\
Rfam, and the tRNA Genes track. The track\
includes both protein-coding genes and\
non-coding RNA genes. Both types of genes can produce non-coding transcripts, but non-coding\
RNA genes do not produce protein-coding transcripts. This is a moderately conservative set of\
predictions. Transcripts of protein-coding genes require the support of one RefSeq RNA, or one\
GenBank RNA sequence plus at least one additional line of evidence. Transcripts of non-coding RNA\
genes require the support of one Rfam or tRNA prediction. Compared to RefSeq, this gene set has\
generally about 10% more protein-coding genes, approximately four times as many putative non-coding\
genes, and about twice as many splice variants.
\
\
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Display Conventions and Configuration
\
\
This track in general follows the display conventions for\
gene prediction tracks. The exons\
for putative non-coding genes and untranslated regions are represented by relatively thin blocks,\
while those for coding open reading frames are thicker. The following color key is used:
\
\
\
Black -- feature has a corresponding entry in the Protein\
Data Bank (PDB)
\
Dark blue -- transcript has been reviewed\
or validated by either the RefSeq, SwissProt or CCDS staff
\
Medium blue -- other RefSeq transcripts
\
Light blue -- non-RefSeq transcripts
\
\
\
\
This track contains an optional codon coloring\
feature that allows users to quickly validate and compare gene predictions.
\
\
Methods
\
\
The UCSC Genes are built using a multi-step pipeline:
\
\
RefSeq and GenBank RNAs are aligned to the genome with BLAT, keeping only the best alignments\
for each RNA. Alignments are discarded if they do not meet certain sequence identity and coverage\
filters. All sequences must align with high (98%) identity. The sequence coverage must be at least\
90% for shorter sequences (those with 2500 or fewer bases), with the coverage threshold\
progressively relaxed for longer sequences.
\
Alignments are broken up at non-intronic gaps, with small isolated fragments thrown out.
\
A splicing graph is created for each set of overlapping alignments. This graph has an edge\
for each exon or intron, and a vertex for each splice site, start, and end. Each RNA that\
contributes to an edge is kept as evidence for that edge. Gene models from the Consensus CDS project\
(CCDS) are also added to the graph.
\
A similar splicing graph is created in the mouse, based on mouse RNA and ESTs. If the mouse\
graph has an edge that is orthologous to an edge in the human graph, that is added to the evidence\
for the human edge.
\
If an edge in the splicing graph is supported by two or more human ESTs, it is added as\
evidence for the edge.
\
If there is an Exoniphy prediction for an exon, that is added as evidence.
\
The graph is traversed to generate all unique transcripts. The traversal is guided by the\
initial RNAs to avoid a combinatorial explosion in alternative splicing. All RefSeq transcripts are\
output. For other multi-exon transcripts to be output, an edge supported by at least one additional\
line of evidence beyond the RNA is required. Single-exon genes require either two RNAs or two \
additional lines of evidence beyond the single RNA.
\
Alignments are merged in from the hg19\
tRNA Genes track and from Rfam\
in regions that are syntenic with the mm9 mouse genome.
\
Protein predictions are generated. For non-RefSeq transcripts we use the txCdsPredict program to\
determine if the transcript is protein-coding, and if so, the locations of the start and stop codons. \
The program weighs as positive evidence the length of the protein, the presence of a Kozak consensus\
sequence at the start codon, and the length of the orthologous predicted protein in other species.\
As negative evidence it considers nonsense-mediated decay and start codons in any frame upstream of\
the predicted start codon. For RefSeq transcripts the RefSeq protein prediction is used directly\
instead of this procedure. For CCDS proteins the CCDS protein is used directly.
\
The corresponding UniProt protein is found, if any.
\
The transcript is assigned a permanent "uc" accession. If the transcript was not in\
the previous release of UCSC Genes, the accession ends with the suffix ".1" indicating\
that this is\
the first version of this transcript. If the transcript is identical to some transcript in the\
previous release of UCSC Genes, the accession is re-used with the same version number. If the\
transcript is not identical to any transcript in the previous release but it overlaps a similar\
transcript with a compatible structure, the previous accession is re-used with the version number\
incremented.
\
\
\
Related Data
\
\
The UCSC Genes transcripts are annotated in numerous tables, each of which is also available as a\
downloadable file. These\
include tables that link UCSC Genes transcripts to external datasets (such as\
knownToLocusLink, which maps UCSC Genes transcripts to Entrez identifiers, previously known\
as Locus Link identifiers), and tables that detail some property of UCSC Genes transcript sequences\
(such as knownToPfam, which identifies any Pfam domains found in the UCSC Genes\
protein-coding transcripts). One can see a full list of the associated tables in the\
Table Browser by selecting UCSC Genes at the track menu;\
this list is then available at the table menu. Note that some of these tables refer to UCSC\
Genes by its former name of Known Genes, sometimes abbreviated as known or kg.\
While the complete set of annotation tables is too long to describe, some of the more important\
tables are described below.
\
\
kgXref identifies the RefSeq, SwissProt, Rfam, or tRNA sequences (if any) on which each\
transcript was based.
\
knownToRefSeq identifies the RefSeq transcript that each UCSC Genes transcript is most\
closely associated with. That RefSeq transcript is either the RefSeq on which the UCSC Genes\
transcript was based, if there is one, or it's the RefSeq transcript that the UCSC Genes transcript\
overlaps at the most bases.
\
knownGeneMrna contains the mRNA sequence that represents each UCSC Genes transcript. If\
the transcript is based on a RefSeq transcript, then this table contains the RefSeq transcript,\
including any portions that do not align to the genome.
\
knownGeneTxMrna contains mRNA sequences for each UCSC Genes transcript. In contrast to\
the sequencess in knownGeneMrna, these sequences are derived by obtaining the sequences for each exon\
from the reference genome and concatenating these exonic sequences.
\
knownGenePep contains the protein sequences derived from the knownGeneMrna transcript\
sequences. Any protein-level annotations, such as the contents of the knownToPfam table, are based\
on these sequences.
\
knownGeneTxPep contains the protein translation (if any) of each mRNA sequence in\
knownGeneTxMrna.
\
knownIsoforms maps each transcript to a cluster ID, a cluster of isoforms of\
the same gene.
\
knownCanonical identifies the canonical isoform of each cluster ID, or gene. Generally,\
this is the longest isoform.
\
\
\
Data access
\
\
UCSC Genes (knownGene for hg19) can be explored interactively using the\
REST API, the\
Table Browser or the\
Data Integrator.\
The genePred files for hg19 are available in our\
\
downloads directory or in our\
\
genes downloads directory in GTF format.\
All the tables can also be queried directly from our public MySQL\
servers. Information on accessing this data through MySQL can be found on our\
help page as well as on\
our blog.
\
\
Credits
\
\
The UCSC Genes track was produced at UCSC using a computational pipeline developed by Jim Kent,\
Chuck Sugnet, Melissa Cline and Mark Diekhans. It is based on data from NCBI\
RefSeq,\
UniProt \
(including TrEMBL and TrEMBL-NEW), \
CCDS, and\
GenBank as well as data from \
Rfam and\
the Todd Lowe lab.\
Our thanks to the people running these databases and to the scientists worldwide who have made\
contributions to them.
\
\
References
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
This track shows gene annotations from the Vertebrate Genome Annotation (Vega)\
database. Annotations are divided into two subtracks from the \
Vega Human Genome Annotation project: \
\
Vega Protein-Coding and Non-Coding Gene Annotations\
Vega Annotated Pseudogenes and Immunoglobulin Segments\
\
"The Vega database\
is designed to be a central repository for high-quality, frequently updated\
manual annotation of different vertebrate finished genome sequence.\
Vega attempts to present consistent high-quality curation of the published\
chromosome sequences. Finished genomic sequence is analysed on a\
clone-by-clone basis using\
a combination of similarity searches against DNA and protein databases\
as well as a series of ab initio gene predictions (GENSCAN, Fgenes).\
The annotation is based on supporting evidence only."
\
\
"In addition, comparative analysis using vertebrate datasets such as\
the Riken mouse cDNAs and Genoscope Tetraodon nigroviridis Ecores\
(Evolutionary Conserved Regions) are used for novel gene discovery."
\
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for\
gene prediction\
tracks. Transcript\
type (and other details) may be found by clicking on the transcript\
identifier which forms the outside link to the Vega transcript details page.\
Further information on the gene and transcript classification may be found\
here.\
\
\
Credits
\
\
Thanks to Steve Trevanion at the\
\
Wellcome Trust Sanger Institute \
for providing the GTF and FASTA files for the Vega annotations. Vega \
acknowledgements and publications are listed \
here.\
genes 1 color 0,50,225\
html vegaGeneComposite\
longLabel Vega Protein-Coding Annotations\
parent vegaGeneComposite\
priority 1\
shortLabel Vega Protein Genes\
track vegaGene\
Enhancers Enhancers bigBed 12 . FANTOM5: Enhancers 1 1.1 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
This track displays the Human Body Map lincRNAs (large intergenic non\
coding RNAs) and TUCPs (transcripts of uncertain coding potential), as well as their\
expression levels across 22 human tissues and cell lines. The Human Body Map catalog was generated\
by integrating previously existing annotation sources with transcripts that were de-novo assembled\
from RNA-Seq data. These transcripts were collected from ~4 billion RNA-Seq reads across 24 tissues \
and cell types.
\
\
Expression abundance was estimated by Cufflinks (Trapnell et al., 2010) based on RNA-Seq. \
Expression abundances were estimated on the gene locus level, rather than for each transcript \
separately and are given as raw FPKM. The prefixes tcons_ and tcons_l2_ are used to describe \
lincRNAs and TUCP transcripts, respectively. Specific details about the catalog generation and data \
sets used for this study can be found in Cabili et al (2011). Extended \
characterization of each transcript in the human body map catalog can be found at the Human lincRNA\
Catalog website.
\
\
Expression abundance scores range from 0 to 1000, and are displayed from light blue to dark blue\
respectively:
\
\
\
01000
\
\
Credits
\
\
The body map RNA-Seq data was kindly provided by the Gene Expression\
Applications research group at Illumina.
\
This track shows transcription levels for several cell types as assayed by high-throughput\
sequencing of polyadenylated RNA (RNA-seq).\
Additional views of this dataset and additional documentation on the methods used\
for this track are available at the\
ENCODE Caltech RNA-seq \
page. The data shown here are derived from the Raw Signal view from the paired \
75-mer 200 bp insert size reads. The two replicates of the signal were pooled and normalized\
so that the total genome-wide signal sums to 10 billion.\
\
Display Conventions and Configuration
\
By default, this track uses a transparent overlay method of displaying data from a number of cell \
lines in the same vertical space. Each of the cell lines in this track is associated with a particular\
color and these cell line colors are consistent across all tracks that are part of the\
ENCODE Regulation supertrack.\
These colors are relatively light and saturated so as to work best with the transparent overlay. \
Unfortunately, outside the ENCODE Regulation tracks, older cell line\
color conventions are used that don't match the cell line colors used in\
the ENCODE Regulation tracks. The older colors were not used in the\
ENCODE Regulation tracks because they were too dark for the transparent\
overlay.\
\
Credits
\
\
This track shows data from the Wold Lab at Caltech,\
as part of the ENCODE Project Consortium. \
\
Release Notes
\
\
This is release 2 (July 2012) of this track which includes two new subtracks for HeLa-S3 and HepG2.\
\
Data Release Policy
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
regulation 1 bigDataUrl /gbdb/hg19/fantom5/hg19_enhancer_promoter_correlations_distances_organ.bb\
dataVersion FANTOM5 phase2.5\
html fantom5.html\
longLabel FANTOM5: Enhancer - promoter correlations distances organ\
parent fantom5\
priority 1.12\
shortLabel Enhancer - promoter correlations distances organ\
subGroups group=enhancer\
track enhancer_promoter_correlations_distances_organ\
type bigBed 12 .\
visibility hide\
wgEncodeRegMarkH3k4me1 Layered H3K4Me1 bigWig 0 10000 H3K4Me1 Mark (Often Found Near Regulatory Elements) on 7 cell lines from ENCODE 0 1.2 0 0 0 127 127 127 0 0 0
Description
\
\
Chemical modifications (e.g. methylation and acylation) to the histone proteins\
present in chromatin influence gene expression by changing how\
accessible the chromatin is to transcription. A specific modification of\
a specific histone protein is called a histone mark.\
This track shows the levels of enrichment of the H3K4Me1 histone mark across the genome as determined by a\
ChIP-seq assay. The H3K4me1 histone mark is the mono-methylation of lysine 4\
of the H3 histone protein, and it is associated with enhancers and with DNA regions downstream of transcription\
starts. Additional histone marks and other chromatin associated ChIP-seq data is available at\
the Broad Histone page.\
\
Display conventions
\
By default this track uses a transparent overlay method of displaying data from a number of cell \
lines in the same vertical space. Each of the cell lines in this track is associated with a particular\
color, and these cell line colors are consistent across all tracks that\
are part of the ENCODE Regulation supertrack.\
These colors are relatively light and saturated so as to work best with the transparent overlay. \
Unfortunately, outside the ENCODE Regulation tracks, older cell line\
color conventions are used that don't match the cell line colors used in\
the ENCODE Regulation tracks. The older colors were not used in the\
ENCODE Regulation tracks because they were too dark for the transparent\
overlay.\
\
Credits
\
\
This track shows data from the Bernstein Lab at the Broad Institute. The Bernstein lab is part of \
the ENCODE consortium. \
\
Data Release Policy
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
\
regulation 1 aggregate transparentOverlay\
allButtonPair on\
container multiWig\
dragAndDrop subtracks\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on 7 cell lines from ENCODE\
maxHeightPixels 100:30:11\
noInherit on\
priority 1.2\
shortLabel Layered H3K4Me1\
showSubtrackColorOnUi on\
superTrack wgEncodeReg hide\
track wgEncodeRegMarkH3k4me1\
type bigWig 0 10000\
viewLimits 0:50\
visibility hide\
robustPeaks TSS peaks bigBed 8 + FANTOM5: DPI peak, robust set 1 1.2 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
Chemical modifications (e.g. methylation and acylation) to the histone proteins\
present in chromatin influence gene expression by changing how\
accessible the chromatin is to transcription. A specific modification of\
a specific histone protein is called a histone mark.\
This track shows the levels of enrichment of the H3K4Me3 histone mark across the genome as determined by a\
ChIP-seq assay. The H3K4Me3 histone mark is the tri-methylation of lysine 4 of the H3 histone protein,\
and it is associated with promoters that are active or poised to be\
activated. Additional histone marks and other chromatin associated ChIP-seq data is available at \
the Broad Histone page. \
\
Display conventions
\
By default this track uses a transparent overlay method of displaying data from a number of cell \
lines in the same vertical space. Each of the cell lines in this track is associated with a particular\
color, and these cell line colors are consistent across all tracks that\
are part of the ENCODE Regulation supertrack.\
These colors are relatively light and saturated so as to work best with the transparent overlay. \
Unfortunately, outside the ENCODE Regulation tracks, older cell line\
color conventions are used that don't match the cell line colors used in\
the ENCODE Regulation tracks. The older colors were not used in the\
ENCODE Regulation tracks because they were too dark for the transparent\
overlay.\
\
Credits
\
\
This track shows data from the Bernstein Lab at the Broad Institute. The Bernstein lab is part of \
the ENCODE consortium. \
\
Data Release Policy
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
\
regulation 1 aggregate transparentOverlay\
allButtonPair on\
container multiWig\
dragAndDrop subtracks\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on 7 cell lines from ENCODE\
maxHeightPixels 100:30:11\
noInherit on\
priority 1.3\
shortLabel Layered H3K4Me3\
showSubtrackColorOnUi on\
superTrack wgEncodeReg hide\
track wgEncodeRegMarkH3k4me3\
type bigWig 0 10000\
viewLimits 0:150\
visibility hide\
Total_counts_multiwig Total counts of CAGE reads bigWig 0 100 FANTOM5: Total counts of CAGE reads 2 1.3 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
regulation 0 aggregate transparentOverlay\
autoScale off\
configurable on\
container multiWig\
dataVersion FANTOM5 phase2.5\
dragAndDrop subTracks\
html fantom5.html\
longLabel FANTOM5: Total counts of CAGE reads\
maxHeightPixels 64:64:11\
priority 1.3\
shortLabel Total counts of CAGE reads\
showSubtrackColorOnUi on\
subGroups group=counts\
superTrack fantom5 full\
track Total_counts_multiwig\
type bigWig 0 100\
viewLimits 0:100\
visibility full\
wgEncodeRegMarkH3k27ac Layered H3K27Ac bigWig 0 10000 H3K27Ac Mark (Often Found Near Active Regulatory Elements) on 7 cell lines from ENCODE 2 1.4 0 0 0 127 127 127 0 0 0
Description
\
\
Chemical modifications (e.g. methylation and acylation) to the histone proteins\
present in chromatin influence gene expression by changing how\
accessible the chromatin is to transcription. A specific modification of\
a specific histone protein is called a histone mark.\
This track shows the levels of enrichment of the H3K27Ac histone mark across the genome as determined by a\
ChIP-seq assay. The H3K27Ac histone mark is the acetylation of lysine 27 of the H3 histone\
protein, and it is thought to enhance transcription possibly by blocking the\
spread of the repressive histone mark H3K27Me3. Additional histone marks and other chromatin \
associated ChIP-seq data is available at the \
Broad Histone page. \
\
Display conventions
\
By default this track uses a transparent overlay method of displaying data from a number of cell \
lines in the same vertical space. Each of the cell lines in this track is associated with a particular\
color, and these cell line colors are consistent across all tracks that\
are part of the ENCODE Regulation supertrack.\
These colors are relatively light and saturated so as to work best with the transparent overlay. \
Unfortunately, outside the ENCODE Regulation tracks, older cell line\
color conventions are used that don't match the cell line colors used in\
the ENCODE Regulation tracks. The older colors were not used in the\
ENCODE Regulation tracks because they were too dark for the transparent\
overlay.\
\
Credits
\
\
This track shows data from the Bernstein Lab at the Broad Institute. The Bernstein lab is part of \
the ENCODE consortium. \
\
Data Release Policy
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
\
regulation 1 aggregate transparentOverlay\
allButtonPair on\
container multiWig\
dragAndDrop subtracks\
longLabel H3K27Ac Mark (Often Found Near Active Regulatory Elements) on 7 cell lines from ENCODE\
maxHeightPixels 100:30:11\
noInherit on\
priority 1.4\
shortLabel Layered H3K27Ac\
showSubtrackColorOnUi on\
superTrack wgEncodeReg full\
track wgEncodeRegMarkH3k27ac\
type bigWig 0 10000\
viewLimits 0:100\
visibility full\
Max_counts_multiwig Max counts of CAGE reads bigWig 0 100 FANTOM5: Max counts of CAGE reads 2 1.4 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
regulation 0 aggregate transparentOverlay\
autoScale off\
configurable on\
container multiWig\
dataVersion FANTOM5 phase2.5\
dragAndDrop subTracks\
html fantom5.html\
longLabel FANTOM5: Max counts of CAGE reads\
maxHeightPixels 64:64:11\
priority 1.4\
shortLabel Max counts of CAGE reads\
showSubtrackColorOnUi on\
subGroups group=counts\
superTrack fantom5 full\
track Max_counts_multiwig\
type bigWig 0 100\
viewLimits 0:100\
visibility full\
affyExonArray Affy Exon Array bed 12 Affymetrix Human Exon Array Probes and Probesets 3 1.5 0 0 0 127 127 127 0 0 0
Methods
\
\
\
This track shows the genomic locations of the probesets and probes\
from the Affymetrix Exon array. This array was designed to\
interrogate every known and putative exon in the human genome. For\
the design of this array, Affymetrix compiled evidence of expression\
from sources including well-annotated genes such as RefSeq, genomic\
alignments of mRNA and EST sequences, gene predictions, exon\
predictions, and regions that are syntenic to conserved regions in\
related species. Using this evidence, Affymetrix designed a probeset\
for each known or putative exon. While some of these regions might\
never be transcribed, the goal is to obtain a comprehensive\
measurement of transcription in the human genome. In most cases, this\
array contains one probeset per exon. However, whenever this\
design-time evidence suggested that some exon had alternative splice\
sites, the exon was subdivided into two or more regions, and one\
probeset was designed for each region (where possible). The array\
contains no probesets for exons smaller than 25 nucleotides.\
\
The exon array supports both gene-level and exon-level expression\
measurement. When the probesets for a single gene are analyzed\
together, it yields results for overall gene expression. When the\
probeset of each exon is contrasted against other exons in the same\
gene, it yields results for alternative splicing.\
\
The probes and probesets on the exon array are divided into five levels\
or classes, depending mostly on the degree of design-time evidence.\
\
\
Core probes and probesets are supported by the most\
reliable evidence from RefSeq and full-length mRNA GenBank records\
containing complete CDS information.\
\
Extended probes and probesets are supported by other cDNA evidence\
beyond what is used to support core probe sets. Extended evidence\
comes from other Genbank mRNAs not annotated as full-length, EST\
sequences, ENSEMBL gene collections, syntenically mapped mRNA from\
Mouse, Rat, or Human, mitoMap mitochondrial genes, microRNA registry\
genes, vegaGene, and vegaPseudoGene records.\
\
Full probes and probesets are supported by computational\
gene prediction evidence only. They are supported by gene and exon\
prediction algorithms including GeneID, GenScan, GenScanSubOptimal,\
exoniphy, RNAGene, sgpGene and Twinscan.\
\
Free probes and probesets are supported by annotations\
which were merged such that no single annotation (or evidence)\
contains the probe setprobe sets that are supported by annotations\
which were merged such that no single annotation (or evidence)\
contains the probe set.\
\
Ambiguous probes and probesets cannot be assigned unambiguously to any\
single gene. \
\
All probes and probesets have a two-part label, indicating the transcript \
cluster ID and probeset ID. The transcript cluster ID is a numeric \
representation of the gene interrogated by the probeset in question. All probes\
are labeled with the transcript cluster ID and probeset ID of whatever probeset\
they belong to.\
\
\
Credits
\
\
The data for this track were provided by Affymetrix.\
Further information on the Human Exon Array is available here.\
\
expression 1 color 0,0,0\
compositeTrack on\
dimensions dimensionX=level dimensionY=view\
dragAndDrop subTracks\
group expression\
html affyExonArray\
longLabel Affymetrix Human Exon Array Probes and Probesets\
noInherit on\
parent affyArchive\
priority 1.5\
shortLabel Affy Exon Array\
sortOrder level=+ view=+\
subGroup1 view Views v1Probeset=Probeset v2Probe=Probe\
subGroup2 level Level L1Core=Core L2Extended=Extended L3Full=Full L4Free=Free L5Ambiguous=Ambiguous\
track affyExonArray\
type bed 12\
visibility pack\
affyExonProbe Affy Exon Array bed 12 Affymetrix Human Exon Array Probes and Probesets 1 1.5 0 0 0 127 127 127 0 0 0 expression 1 longLabel Affymetrix Human Exon Array Probes and Probesets\
parent affyExonArray\
shortLabel Affy Exon Array\
track affyExonProbe\
view v2Probe\
visibility dense\
affyExonProbeset Affy Exon Array bed 12 Affymetrix Human Exon Array Probes and Probesets 1 1.5 0 0 0 127 127 127 0 0 0 expression 1 longLabel Affymetrix Human Exon Array Probes and Probesets\
parent affyExonArray\
shortLabel Affy Exon Array\
track affyExonProbeset\
view v1Probeset\
visibility dense\
FANTOM_CAT FANTOM CAT bigBed 12 + FANTOM5: atlas of human long non-coding RNAs with accurate 5' ends 0 1.5 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
This track shows DNase hypersensitive areas assayed in a large collection of cell types \
by the \
ENCODE project. \
Regulatory regions in general, and promoters in particular, tend to be DNase-sensitive. \
Additional views of this data and additional documentation on the methods used\
to identify hypersensitive sites are available from the\
Uniform DNaseI HS page.\
The uniform peaks in that track are the basis for the clusters shown here, \
which combine data from the peaks of the different cell lines.
\
\
Display Conventions and Configuration
\
\
A gray box indicates the extent of the hypersensitive region. \
The darkness is proportional to the maximum signal strength observed in any cell line. \
The number to the left of the box shows how many cell lines are hypersensitive in the region. \
The track can be configured to restrict the display to elements above a specified score \
in the range 100-1000 (where score is based on signal strength).
\
\
Methods
\
\
Stringent (FDR 1% thresholded) peaks of DNaseI hypersensitivity from uniform processing \
by the ENCODE Analysis Working Group \
(Uniform DNaseI HS) \
were assigned normalized scores (by UCSC regClusterMakeTableOfTables) in the range 0-1000 based\
on the \
narrowPeak \
signalValue and then clustered on score (by UCSC regCluster) to generate singly-linked clusters. \
Low-scoring clusters (score <100) were then filtered out.
\
\
Release Notes
\
This is the third release of this track. \
It differs from the previous track as it includes clusters having only 1 cell type contributing to\
the cluster (previously excluded).\
The previous track is available on the UCSC preview browser as\
DNase Clusters V2.
\
\
Credits
\
\
This track shows data from the University of Washington and Duke ENCODE groups, \
with uniform processing by the ENCODE Analysis Working Group. \
The clustering was performed at UCSC.\
For additional credits and references, see the\
Uniform DNaseI HS page.
\
\
Data Release Policy
\
While primary ENCODE data is subject to a restriction period as described in the \
ENCODE data release policy, \
this restriction does not apply to the integrative analysis results. \
The data in this track are freely available.
\
This track shows regions of transcription factor binding derived from a large collection\
of ChIP-seq experiments performed by the ENCODE project between February 2011 and November 2018,\
spanning the first production phase of ENCODE ("ENCODE 2") through the second full production\
phase ("ENCODE 3").\
\
\
Transcription factors (TFs) are proteins that bind to DNA and interact with RNA polymerases to\
regulate gene expression. Some TFs contain a DNA binding domain and can bind directly to \
specific short DNA sequences ('motifs');\
others bind to DNA indirectly through interactions with TFs containing a DNA binding domain.\
High-throughput antibody capture and sequencing methods (e.g. chromatin immunoprecipitation\
followed by sequencing, or 'ChIP-seq') can be used to identify regions of\
TF binding genome-wide. These regions are commonly called ChIP-seq peaks.
\
\
ENCODE TF ChIP-seq data were processed using the \
ENCODE Transcription Factor ChIP-seq Processing Pipeline to generate peaks of TF binding.\
Peaks from 1264 experiments (1256 in hg38) representing 338 transcription factors \
(340 in hg38) in 130 cell types (129 in hg38) are combined here into clusters to produce a \
summary display showing occupancy regions for each factor.\
The underlying ChIP-seq peak data are available from the\
ENCODE 3 TF ChIP Peaks tracks (\
hg19,\
hg38)
\
\
Display Conventions
\
\
A gray box encloses each peak cluster of transcription factor occupancy, with the\
darkness of the box being proportional to the maximum signal strength observed in any cell type\
contributing to the cluster. The HGNC gene name for the transcription factor is shown \
to the left of each cluster.
\
\
To the right of the cluster a configurable label can optionally display information about the\
cell types contributing to the cluster and how many cell types were assayed for the factor\
(count where detected / count where assayed).\
For brevity in the display, each cell type is abbreviated to a single letter.\
The darkness of the letter is proportional to the signal strength observed in the cell line. \
Abbreviations starting with capital letters designate\
ENCODE cell types initially identified for intensive study, \
while those starting with lowercase letters designate cell lines added later in the project.
\
\
Click on a peak cluster to see more information about the TF/cell assays contributing to the\
cluster and the cell line abbreviation table.\
\
\
Methods
\
\
Peaks of transcription factor occupancy ("optimal peak set") from ENCODE ChIP-seq datasets\
were clustered using the UCSC hgBedsToBedExps tool. \
Scores were assigned to peaks by multiplying the input signal values by a normalization\
factor calculated as the ratio of the maximum score value (1000) to the signal value at one\
standard deviation from the mean, with values exceeding 1000 capped at 1000. This has the\
effect of distributing scores up to mean plus one 1 standard deviation across the score range,\
but assigning all above to the maximum score.\
The cluster score is the highest score for any peak contributing to the cluster.
\
\
Data Access
\
\
The raw data for the ENCODE3 TF Clusters track can be accessed from the\
\
Table Browser or combined with other datasets through the \
Data Integrator. This data is stored internally as a BED5+3 MySQL table with additional \
metadata tables. For automated analysis and download, the \
encRegTfbsClusteredWithCells.hg38.bed.gz track data file can be downloaded from \
our \
downloads server, which has 5 fields of BED data followed by a comma-separated list of cell types. \
The data can also be queried using the \
JSON API or the\
Public SQL server.
\
\
Credits
\
\
Thanks to the ENCODE Consortium, the ENCODE ChIP-seq production laboratories, and the\
ENCODE Data Coordination Center for generating and processing the TF ChIP-seq datasets used here.\
The ENCODE accession numbers of the constituent datasets are available from the peak details page.\
Special thanks to Henry Pratt, Jill Moore, Michael Purcaro, and Zhiping Weng, PI, at the \
ENCODE Data Analysis Center\
(ZLab at UMass Medical Center) for providing the peak datasets, metadata,\
and guidance developing this track. Please check the\
ZLab ENCODE Public Hubs\
for the most updated data.\
\
\
The integrative view presented here was developed by Jim Kent at UCSC.
\
Sloan CA, Chan ET, Davidson JM, Malladi VS, Strattan JS, Hitz BC, Gabdank I, Narayanan AK, Ho M, Lee\
BT et al.\
\
ENCODE data at the ENCODE portal.\
Nucleic Acids Res. 2016 Jan 4;44(D1):D726-32.\
PMID: 26527727; PMC: PMC4702836\
Users may freely download, analyze and publish results based on any ENCODE data without \
restrictions.\
Researchers using unpublished ENCODE data are encouraged to contact the data producers to discuss possible coordinated publications; however, this is optional.
\
Users of ENCODE datasets are requested to cite the ENCODE Consortium and ENCODE\
production laboratory(s) that generated the datasets used, as described in\
Citing ENCODE.\
regulation 1 dataVersion ENCODE 3 Nov 2018\
filterBy name:factor=AFF1,AGO1,AGO2,ARHGAP35,ARID1B,ARID2,ARID3A,ARNT,ASH1L,ASH2L,ATF2,ATF3,ATF4,ATF7,ATM,BACH1,BATF,BCL11A,BCL3,BCOR,BHLHE40,BMI1,BRCA1,BRD4,BRD9,C11orf30,CBFA2T2,CBFA2T3,CBFB,CBX1,CBX2,CBX3,CBX5,CBX8,CC2D1A,CCAR2,CDC5L,CEBPB,CHAMP1,CHD1,CHD4,CHD7,CLOCK,COPS2,CREB1,CREB3L1,CREBBP,CREM,CTBP1,CTCF,CUX1,DACH1,DEAF1,DNMT1,DPF2,E2F1,E2F4,E2F6,E2F7,E2F8,E4F1,EBF1,EED,EGR1,EHMT2,ELF1,ELF4,ELK1,EP300,EP400,ESR1,ESRRA,ETS1,ETV4,ETV6,EWSR1,EZH2,FIP1L1,FOS,FOSL1,FOSL2,FOXA1,FOXA2,FOXK2,FOXM1,FOXP1,FUS,GABPA,GABPB1,GATA1,GATA2,GATA3,GATA4,GATAD2A,GATAD2B,GMEB1,HCFC1,HDAC1,HDAC2,HDAC3,HDAC6,HES1,HMBOX1,HNF1A,HNF4A,HNF4G,HNRNPH1,HNRNPK,HNRNPL,HNRNPLL,HNRNPUL1,HSF1,IKZF1,IKZF2,IRF1,IRF2,IRF3,IRF4,IRF5,JUN,JUNB,JUND,KAT2B,KAT8,KDM1A,KDM4A,KDM4B,KDM5A,KDM5B,KLF16,KLF5,L3MBTL2,LCORL,LEF1,MAFF,MAFK,MAX,MBD2,MCM2,MCM3,MCM5,MCM7,MEF2A,MEF2B,MEF2C,MEIS2,MGA,MIER1,MITF,MLLT1,MNT,MTA1,MTA2,MTA3,MXI1,MYB,MYBL2,MYC,MYNN,NANOG,NBN,NCOA1,NCOA2,NCOA3,NCOA4,NCOA6,NCOR1,NEUROD1,NFATC1,NFATC3,NFE2,NFE2L2,NFIB,NFIC,NFRKB,NFXL1,NFYA,NFYB,NR0B1,NR2C1,NR2C2,NR2F1,NR2F2,NR2F6,NR3C1,NRF1,NUFIP1,PAX5,PAX8,PBX3,PCBP1,PCBP2,PHB2,PHF20,PHF21A,PHF8,PKNOX1,PLRG1,PML,POLR2A,POLR2G,POU2F2,PRDM10,PRPF4,PTBP1,PYGO2,RAD21,RAD51,RB1,RBBP5,RBFOX2,RBM14,RBM15,RBM17,RBM22,RBM25,RBM34,RBM39,RCOR1,RELB,REST,RFX1,RFX5,RLF,RNF2,RUNX1,RUNX3,RXRA,SAFB,SAFB2,SAP30,SETDB1,SIN3A,SIN3B,SIRT6,SIX4,SIX5,SKI,SKIL,SMAD1,SMAD2,SMAD5,SMARCA4,SMARCA5,SMARCB1,SMARCC2,SMARCE1,SMC3,SNRNP70,SOX13,SOX6,SP1,SPI1,SREBF1,SREBF2,SRF,SRSF4,SRSF7,SRSF9,STAT1,STAT2,STAT3,STAT5A,SUPT20H,SUZ12,TAF1,TAF15,TAF7,TAF9B,TAL1,TBL1XR1,TBP,TBX21,TBX3,TCF12,TCF7,TCF7L2,TEAD4,TFAP4,THAP1,THRA,TRIM22,TRIM24,TRIM28,TRIP13,U2AF1,U2AF2,UBTF,USF1,USF2,WHSC1,WRNIP1,XRCC3,XRCC5,YY1,ZBED1,ZBTB1,ZBTB11,ZBTB2,ZBTB33,ZBTB40,ZBTB5,ZBTB7A,ZBTB7B,ZBTB8A,ZEB1,ZEB2,ZFP91,ZFX,ZHX1,ZHX2,ZKSCAN1,ZMIZ1,ZMYM3,ZNF143,ZNF184,ZNF207,ZNF217,ZNF24,ZNF274,ZNF280A,ZNF282,ZNF316,ZNF318,ZNF384,ZNF407,ZNF444,ZNF507,ZNF512B,ZNF574,ZNF579,ZNF592,ZNF639,ZNF687,ZNF8,ZNF830,ZSCAN29,ZZZ3\
idInUrlSql select value from factorbookGeneAlias where name='%s'\
inputTableFieldDisplay cellType factor experiment lab\
inputTableFieldUrls experiment="https://www.encodeproject.org/experiments/$$"\
inputTrackTable encRegTfbsClusteredInputs\
longLabel Transcription Factor ChIP-seq Clusters (338 factors, 130 cell types) from ENCODE 3\
maxWindowToDraw 10000000\
parent wgEncodeReg\
priority 1.6\
shortLabel Txn Factr ChIP E3\
sourceTable encRegTfbsClusteredSources\
track encRegTfbsClustered\
type factorSource\
url http://www.factorbook.org/mediawiki/index.php/$$\
urlLabel Factorbook Link:\
useScore 1\
visibility hide\
wgEncodeRegTfbsClusteredV3 Txn Factor ChIP factorSource Transcription Factor ChIP-seq Clusters (161 factors) from ENCODE with Factorbook Motifs 0 1.71 0 0 0 127 127 127 1 0 0 http://www.factorbook.org/mediawiki/index.php/$$
Description
\
\
This track shows regions of transcription factor binding derived from a large collection\
of ChIP-seq experiments performed by the ENCODE project, together with DNA binding motifs \
identified within these regions by the ENCODE\
\
Factorbook repository.
\
\
Transcription factors (TFs) are proteins that bind to DNA and interact with RNA polymerases to\
regulate gene expression. Some TFs contain a DNA binding domain and can bind directly to \
specific short DNA sequences ('motifs');\
others bind to DNA indirectly through interactions with TFs containing a DNA binding domain.\
High-throughput antibody capture and sequencing methods (e.g. chromatin immunoprecipitation\
followed by sequencing, or 'ChIP-seq') can be used to identify regions of\
TF binding genome-wide. These regions are commonly called ChIP-seq peaks.
\
\
ENCODE TFBS ChIP-seq data were processed using the computational pipeline developed\
by the ENCODE Analysis Working Group to generate uniform peaks of TF binding.\
Peaks for 161 transcription factors in\
91 cell types are combined here into clusters to produce a summary display showing \
occupancy regions for each factor and motif sites within the regions when identified.\
Additional views of the underlying ChIP-seq data and documentation on the methods used\
to generate it are available from the\
ENCODE Uniform TFBS track.\
\
\
\
Display Conventions
\
\
A gray box encloses each peak cluster of transcription factor occupancy, with the\
darkness of the box being proportional to the maximum signal strength observed in any cell line\
contributing to the cluster. The HGNC gene name for the transcription factor is shown \
to the left of each cluster. Within a cluster, a green highlight indicates \
the highest scoring site of a Factorbook-identified canonical motif for\
the corresponding factor. (NOTE: motif highlights are shown\
only in browser windows of size 50,000 bp or less, and their display can be suppressed by unchecking\
the highlight motifs box on the track configuration page).\
Arrows on the highlight designate the matching strand of the motif.\
\
\
The cell lines where signal was detected for the factor are identified by single-letter \
abbreviations shown to the right of the cluster. \
The darkness of each letter is proportional to the signal strength observed in the cell line. \
Abbreviations starting with capital letters designate\
ENCODE cell types identified for intensive study - Tier 1 and Tier 2 - \
while those starting with lowercase letters designate Tier 3 cell lines.
\
\
Click on a peak cluster to see more information about the TF/cell assays contributing to the\
cluster, the cell line abbreviation table, and details about the highest scoring canonical \
motif in the cluster.\
\
\
Methods
\
\
\
Peaks of transcription factor occupancy from uniform processing of ENCODE ChIP-seq data\
by the ENCODE Analysis Working Group were filtered to exclude datasets that did not pass the\
integrated quality metric\
(see "Quality Control" section of Uniform TFBS) \
and then were clustered using the UCSC hgBedsToBedExps tool. \
Scores were assigned to peaks by multiplying the input signal values by a normalization\
factor calculated as the ratio of the maximum score value (1000) to the signal value at one\
standard deviation from the mean, with values exceeding 1000 capped at 1000. This has the\
effect of distributing scores up to mean plus one 1 standard deviation across the score range,\
but assigning all above to the maximum score.\
The cluster score is the highest score for any peak contributing to the cluster.
\
\
The Factorbook motif discovery and annotation pipeline uses\
the MEME-ChIP and FIMO tools from the MEME software suite in conjunction with machine learning methods and\
manual curation to merge discovered motifs with known motifs reported in \
Jaspar and\
TransFac.\
Motif identifications reported in Wang et al. 2012 (below) were supplemented in this track\
with more recent data (derived from newer ENCODE datasets - Jan 2011 through Mar 2012 freezes),\
provided by the Factorbook team. Motif identifications from all datasets were merged, with\
the most significant value (qvalue) reported being picked when motifs were duplicated in\
multiple cell lines. The scores for the selected best-scoring motif sites were then transformed\
to -log10.\
\
\
\
Release Notes
\
\
Release 4 (February 2014) of this track adds display of the Factorbook motifs.\
Release 3 (August 2013) added 124 datasets (690 total, vs. 486 in Release 2),\
representing all ENCODE TF ChIP-seq passing quality assessment through \
the ENCODE March 2012 data freeze.\
The peaks used to generate these clusters were called with less stringent thresholds than \
used during the January 2011 uniform processing shown in Release 2 of this track.\
The contributing datasets are displayed as individual\
tracks in the ENCODE Uniform TFBS track, which is available along with the primary data tracks\
in the ENC TF Binding Supertrack page.\
The clustering for V3/V4 is based on the transcription factor target, and so differs from V2 where clustering was based on antibody.\
\
\
For the V3/V4 releases, a new track table format, 'factorSource' was used to represent \
the primary clusters table and downloads file, wgEncodeRegTfbsClusteredV3. \
This format consists of standard BED5\
fields (see File Formats) \
followed by an experiment count field (expCount) and finally two fields containing comma-separated lists.\
The first list field (expNums) contains numeric identifiers for experiments,\
keyed to the wgEncodeRegTfbsClusteredInputsV3 table,\
which includes such information as the experiment's underlying Uniform TFBS table name,\
factor targeted, antibody used, cell type, treatment (if any), and laboratory source. \
The second list field (expScores) contains the scores for the corresponding experiments. \
For convenience, the \
\
file downloads directory\
for this track also contains a BED file,\
wgEncodeRegTfbsClusteredWithCellsV3, that lists each cluster with the cluster score followed by a comma-separated list of cell types.\
\
\
The Factorbook\
motif positions that display as green boxes on the track come from an additional table\
called factorbookMotifPos, and are supported by additional metadata tables such as\
factorbookMotifCanonical that connects different terms used\
for the same factor (RELA <--> NFKB1), and factorbookGeneAlias\
that connects terms to the the link used at factorbook.org (EGR1 <-->\
EGR-1),\
and lastly a position weight matrix table, factorbookMotifPwm, used in\
building the graphical sequence logo for each motif on the item details page.\
These tables are available on our public MySQL server and as files on our\
download server.\
\
\
Credits
\
\
This track shows ChIP-seq data from the Myers Lab at the HudsonAlpha Institute for Biotechnology and by the labs of\
Michael Snyder,\
Mark Gerstein,\
Sherman Weissman\
at Yale University,\
Peggy Farnham \
at the University of Southern California,\
Kevin Struhl at Harvard,\
Kevin White \
at the University of Chicago, and\
Vishy Iyer \
at the University of Texas, Austin.\
These data were processed into uniform peak calls by the ENCODE Analysis Working Group pipeline\
developed by\
Anshul Kundaje\
The clustering of the uniform peaks was performed by UCSC.\
The Factorbook motif identifications and localizations (and valuable assistance with \
interpretation) were provided by Jie Wang, Bong Hyun Kim and Jiali Zhuang of the \
Zlab (Weng Lab) at UMass Medical\
School.
\
While primary ENCODE data was subject to a restriction period as described in the \
\
ENCODE data release policy, this restriction does not apply to the integrative \
analysis results, and all primary data underlying this track have passed the restriction date. \
The data in this track are freely available.
\
This track shows regions\
where transcription factors, proteins responsible for\
modulating gene transcription, bind to DNA as assayed by ChIP-seq (chromatin immunoprecipitation with antibodies \
specific to the transcription factor followed by sequencing of the precipitated DNA).\
Additional views of this dataset and additional documentation on the methods used\
for this track are available at the\
ENC TF Binding Supertrack page.\
The peaks were computed using a uniform pipeline developed by Anshul Kundaje that uses the\
variation between the two replicates to develop sensible peak thresholds. This track combines\
data from many different cell lines and transcription-factor targeting antibodies into a\
relatively dense display. \
\
Display Conventions
\
\
A gray box encompasses the peaks of transcription factor occupancy. The darkness of the box \
is proportional to the maximum signal strength observed in any cell line. The name to the left\
of the box is the transcription factor. The letters to the right represent the cell lines where\
a signal is detected. The darkness of the letter is proportional to the signal strength in\
the cell line. Click on an item in the track to see the cell lines spelled out. \
\
\
Release Notes
\
\
Release 2 (May 2012) of this track fixes a bug that, in some cases, was causing the score values of\
signals within a cluster to be displayed incorrectly.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. The full data release policy\
for ENCODE is available here.
This track shows the location of the sequences used for the selection of\
probes on the Affymetrix GNF1H chips. This contains 11406 predicted genes that do not overlap with\
the Affy U133A chip.
\
\
Methods
The sequences were mapped to the genome using blat followed by pslReps with the\
parameters:
\
This track displays genomic mappings for human LongSAGE tags from the\
The Cancer Genome Anatomy\
Project. SAGE (Serial Analysis of Gene Expression) [Velculescu 1995] is a\
quantitative technique for measuring gene expression. For a brief overview\
of SAGE, see the CGAP SAGE information page.\
\
\
Display Conventions and Configuration
\
\
Genomic mappings of 17-base LongSAGE tags are displayed. Tag counts are\
normalized to tags per million (TPM) in each tissue or library. Tags with higher TPM are\
more darkly shaded. The CATG restriction site before the start of the\
tag is rendered as a thick line; the 17 bases of the tag are drawn as a thinner\
line. Thus the thin end of the tag points in the direction of transcription.\
\
The track display modes are:\
\
dense - Draws locations of mapped tags on a single line.\
squish - Draws one item per tag per library without labels.\
pack - Draws one item per tag per tissue with labels. The label\
includes the number of libraries of each tissue type containing the tag.\
Clicking on an item lists the libraries containing the tag, with the libraries\
from the selected tissue in bold. Clicking on a library in the list\
displays detailed information about that library. \
full - Draws one item per tag per library.\
Clicking on an item displays information about the library, along with other\
libraries containing the tag.\
\
\
\
The track can be configured to display only tags from a selected tissue.\
\
Information about the various SAGE libraries, data downloads and other tools\
for exploring and analyzing these data is available from the \
CGAP SAGE Genie web\
site.\
\
\
Mapping SAGE tags to the human genome
\
\
The goal of the SAGE tag mapping is to identify the genomic\
loci of the associated mRNAs. Since it is impossible to disambiguate tags\
that map to multiple loci, only unique genomic mappings are kept. To compensate\
for polypmorphisms between the reference genome and the mRNA libraries, \
SNPs are considered by the mapping algorithm.\
\
\
For each position in the genome on both strands, all\
possible 21-mers, given all combinations of SNPs, were considered. The 21-mers\
beginning with CATG were generated for use in mapping. Only 21-mers\
that were unique across the genome were used in placing SAGE tags.\
\
\
Only SNPs from dbSNP with the following characteristics were used:\
\
single-base\
maps to a single genomic location\
reference allele matches reference genome\
does not occur in a tandem repeat\
\
\
Human embryonic stem cell (ESC) library construction
\
\
Detailed information regarding the human ESC lines used in this study can be\
found at https://stemcells.nih.gov and in Hirst et al. 2007.\
The ESC tags were generated from RNA purified from human ESCs maintained under\
conditions that promote their maintenance in an undifferentiated state.\
\
\
\
A complete set of embryonic stem cell LongSAGE tags is available through the\
CGAP web portal.\
The human embryonic stem cell library was supported by funds from the\
National Cancer Institute, National Institutes of Health, under Contract\
No. N01-C0-12400 and by grants from Genome Canada, Genome British Columbia and\
the Canadian Stem Cell Network.\
\
rna 1 group rna\
longLabel CGAP Long SAGE\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
priority 2\
shortLabel CGAP SAGE\
track cgapSage\
type bed 8 +\
visibility hide\
chineseTrio Chinese Trio vcfPhasedTrio Genome In a Bottle Chinese Trio 0 2 0 0 0 127 127 127 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/giab/ChineseTrio/merged.vcf.gz\
longLabel Genome In a Bottle Chinese Trio\
maxWindowToDraw 5000000\
parent triosView\
shortLabel Chinese Trio\
subGroups view=trios\
track chineseTrio\
type vcfPhasedTrio\
vcfChildSample HG005|son\
vcfDoFilter off\
vcfDoMaf off\
vcfDoQual off\
vcfParentSamples HG006|father,HG007|mother\
vcfUseAltSampleNames on\
clinGenTriplo ClinGen Triplosensitivity bigBed 9 + ClinGen Dosage Sensitivity Map - Triplosensitivity 3 2 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/bbi/clinGen/clinGenTriplo.bb\
filterLabel.triploScore Dosage Sensitivity Score\
filterValues.triploScore 0|No evidence available,1|Little evidence for dosage pathogenicity,2|Some evidence for dosage pathogenicity,3|Sufficient evidence for dosage pathogenicity,30|Gene associated with autosomal recessive phenotype,40|Dosage sensitivity unlikely\
longLabel ClinGen Dosage Sensitivity Map - Triplosensitivity\
mouseOverField _mouseOver\
parent clinGenComp on\
priority 2\
shortLabel ClinGen Triplosensitivity\
track clinGenTriplo\
type bigBed 9 +\
urls url="$$" PMID1="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" PMID2="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" PMID3="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" PMID4="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" PMID5="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" PMID6="https://pubmed.ncbi.nlm.nih.gov/$$/?from_single_result=$$&expanded_search_query=$$" mondoID="https://monarchinitiative.org/disease/$$"\
visibility pack\
clinvarCnv ClinVar CNVs bigBed 12 + ClinVar Copy Number Variants >= 50bp 0 2 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/bbi/clinvar/clinvarCnv.bb\
filter._varLen 50:999999999\
filterByRange._varLen on\
filterLabel._originCode Alelle Origin\
filterLimits._varLen 50:999999999\
filterType._allTypeCode multiple\
filterType._clinSignCode multiple\
filterType._originCode multiple\
filterValues._allTypeCode SUBST|single nucleotide variant - SUBST,STRUCT|translocation and fusion - STRUCT,LOSS|deletion and copy loss - LOSS,GAIN|duplication and copy gain - GAIN,INS|indel and insertion - INS,INV|inversion - INV,SEQALT|undetermined - SEQALT,SEQLEN|repeat change - SEQLEN\
filterValues._clinSignCode BN|benign,LB|likely benign,CF|conflicting,PG|pathogenic,LP|likely pathogenic,UC|uncertain,OT|other\
filterValues._originCode GERM|germline,SOM|somatic,GERMSOM|germline/somatic,NOVO|de novo,UNK|unknown\
group phenDis\
itemRgb on\
longLabel ClinVar Copy Number Variants >= 50bp\
mergeSpannedItems on\
mouseOverField _mouseOver\
noScoreFilter on\
parent clinvar\
priority 2\
searchIndex _dbVarSsvId\
shortLabel ClinVar CNVs\
skipFields rcvAcc\
track clinvarCnv\
type bigBed 12 +\
urls rcvAcc="https://www.ncbi.nlm.nih.gov/clinvar/$$/" geneId="https://www.ncbi.nlm.nih.gov/gene/$$" snpId="https://www.ncbi.nlm.nih.gov/snp/$$" nsvId="https://www.ncbi.nlm.nih.gov/dbvar/variants/$$/" origName="https://www.ncbi.nlm.nih.gov/clinvar/variation/$$/"\
visibility hide\
dbSnp155ClinVar ClinVar dbSNP(155) bigDbSnp Short Genetic Variants from dbSNP Release 155 Included in ClinVar 1 2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp155ClinVar.bb\
defaultGeneTracks knownGene\
longLabel Short Genetic Variants from dbSNP Release 155 Included in ClinVar\
parent dbSnp155ViewVariants off\
priority 2\
shortLabel ClinVar dbSNP(155)\
subGroups view=variants\
track dbSnp155ClinVar\
wgEncodeGencodeCompV7 Comprehensive genePred Comprehensive Gene Annotation Set from ENCODE/GENCODE Version 7 2 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from ENCODE/GENCODE Version 7\
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wgEncodeGencodeCompV37lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 37lift37 (Ensembl 103) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 37lift37 (Ensembl 103)\
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wgEncodeGencodeCompV27lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 27lift37 (Ensembl 90) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 27lift37 (Ensembl 90)\
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wgEncodeGencodeCompV43lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 43lift37 (Ensembl 109) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 43lift37 (Ensembl 109)\
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wgEncodeGencodeCompV19 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 19 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 19\
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wgEncodeGencodeCompV33lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 33lift37 (Ensembl 99) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 33lift37 (Ensembl 99)\
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wgEncodeGencodeCompV38lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 38lift37 (Ensembl 104) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 38lift37 (Ensembl 104)\
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wgEncodeGencodeCompV28lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 28lift37 (Ensembl 92) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 28lift37 (Ensembl 92)\
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wgEncodeGencodeCompV44lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 44lift37 (Ensembl 110) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 44lift37 (Ensembl 110)\
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wgEncodeGencodeCompV34lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 34lift37 (Ensembl 100) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 34lift37 (Ensembl 100)\
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wgEncodeGencodeCompV24lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 24lift37 (Ensembl 83) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 24lift37 (Ensembl 83)\
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wgEncodeGencodeCompV40lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 40lift37 (Ensembl 106) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 40lift37 (Ensembl 106)\
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wgEncodeGencodeCompV39lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 39lift37 (Ensembl 105) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 39lift37 (Ensembl 105)\
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wgEncodeGencodeCompV45lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 45lift37 (Ensembl 111) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 45lift37 (Ensembl 111)\
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wgEncodeGencodeCompV31lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 31lift37 (Ensembl 97) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 31lift37 (Ensembl 97)\
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wgEncodeGencodeCompV46lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 46lift37 (Ensembl 112) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 46lift37 (Ensembl 112)\
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wgEncodeGencodeCompV36lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 36lift37 (Ensembl 102) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 36lift37 (Ensembl 102)\
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wgEncodeGencodeCompV42lift37 Comprehensive genePred Comprehensive Gene Annotation Set from GENCODE Version 42lift37 (Ensembl 108) 3 2 0 0 0 127 127 127 0 0 0 genes 1 longLabel Comprehensive Gene Annotation Set from GENCODE Version 42lift37 (Ensembl 108)\
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cons46way Cons 46-Way bed 4 Vertebrate Multiz Alignment & Conservation (46 Species) 0 2 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows multiple alignments of 46 vertebrate\
species and measurements of evolutionary conservation using\
two methods (phastCons and phyloP) from the\
\
PHAST package, for \
all species (vertebrate) and two subsets (primate and placental mammal).\
The multiple alignments were generated using multiz and \
other tools in the UCSC/Penn State Bioinformatics\
comparative genomics alignment pipeline.\
Conserved elements identified by phastCons are also displayed in\
this track.\
\
\
PhastCons (which has been used in previous Conservation tracks) is a hidden\
Markov model-based method that estimates the probability that each\
nucleotide belongs to a conserved element, based on the multiple alignment.\
It considers not just each individual alignment column, but also its\
flanking columns. By contrast, phyloP separately measures conservation at\
individual columns, ignoring the effects of their neighbors. As a\
consequence, the phyloP plots have a less smooth appearance than the\
phastCons plots, with more "texture" at individual sites. The two methods\
have different strengths and weaknesses. PhastCons is sensitive to "runs"\
of conserved sites, and is therefore effective for picking out conserved\
elements. PhyloP, on the other hand, is more appropriate for evaluating\
signatures of selection at particular nucleotides or classes of nucleotides\
(e.g., third codon positions, or first positions of miRNA target sites).\
\
\
Another important difference is that phyloP can measure acceleration\
(faster evolution than expected under neutral drift) as well as\
conservation (slower than expected evolution). In the phyloP plots, sites\
predicted to be conserved are assigned positive scores (and shown in blue),\
while sites predicted to be fast-evolving are assigned negative scores (and\
shown in red). The absolute values of the scores represent -log p-values\
under a null hypothesis of neutral evolution. The phastCons scores, by\
contrast, represent probabilities of negative selection and range between 0\
and 1.\
\
\
Both phastCons and phyloP treat alignment gaps and unaligned nucleotides as\
missing data, and both were run with the same parameters for each\
species set (vertebrates, placental mammals, and primates).\
Thus, in regions in which only primates appear in the alignment, all three\
sets of scores will be the same, but in regions in which additional species\
are available, the mammalian and/or vertebrate scores may differ from the\
primate scores. The alternative\
plots help to identify sequences that are under different evolutionary\
pressures in, say, primates and non-primates, or mammals and non-mammals. \
\
\
\
The species aligned for this track include the reptile, amphibian, \
bird, and fish clades, as well as marsupial, monotreme (platypus), \
and placental mammals. Compared to the previous 44-vertebrate alignment (hg18),\
this track includes 2 new species and 5 species with updated\
sequence assemblies (Table 1). The new species consist of two \
assemblies: baboon (papHam1) at 5.3X coverage and wallaby (macEug1) at 2X\
coverage.\
The elephant, opossum, rabbit, tetraodon, and zebrafish assemblies\
have been updated from those used in the previous 44-species alignment.\
\
\
UCSC has repeatmasked and aligned the low-coverage genome assemblies, and\
provides the sequence for download; however, we do not construct\
genome browsers for them. Missing sequence in the low-coverage assemblies is\
highlighted in the track display by regions of yellow when zoomed out\
and Ns displayed at base level (see Gap Annotation, below).
\
The track configuration options allow the user to display either\
the vertebrate or placental mammal conservation scores, or both\
simultaneously.\
In full and pack display modes, conservation scores are displayed as a\
wiggle track (histogram) in which the height reflects the \
size of the score. \
The conservation wiggles can be configured in a variety of ways to \
highlight different aspects of the displayed information. \
Click the Graph configuration help link for an explanation \
of the configuration options.
\
\
Pairwise alignments of each species to the human genome are \
displayed below the conservation histogram as a grayscale density plot (in \
pack mode) or as a wiggle (in full mode) that indicates alignment quality.\
In dense display mode, conservation is shown in grayscale using\
darker values to indicate higher levels of overall conservation \
as scored by phastCons.
\
\
Checkboxes on the track configuration page allow selection of the\
species to include in the pairwise display. \
Configuration buttons are available to select all of the species (Set \
all), deselect all of the species (Clear all), or \
use the default settings (Set defaults).\
By default, the following 11 species are included in the pairwise display:\
rhesus, mouse, dog, horse, \
armadillo, opossum, platypus, lizard, \
chicken, X. tropicalis (frog), and stickleback.\
Note that excluding species from the pairwise display does not alter the\
the conservation score display.
\
\
To view detailed information about the alignments at a specific\
position, zoom the display in to 30,000 or fewer bases, then click on\
the alignment.
\
\
Gap Annotation
\
\
The Display chains between alignments configuration option \
enables display of gaps between alignment blocks in the pairwise alignments in \
a manner similar to the Chain track display. The following\
conventions are used:\
\
Single line: No bases in the aligned species. Possibly due to a\
lineage-specific insertion between the aligned blocks in the human genome\
or a lineage-specific deletion between the aligned blocks in the aligning\
species.\
Double line: Aligning species has one or more unalignable bases in\
the gap region. Possibly due to excessive evolutionary distance between \
species or independent indels in the region between the aligned blocks in both\
species. \
Pale yellow coloring: Aligning species has Ns in the gap region.\
Reflects uncertainty in the relationship between the DNA of both species, due\
to lack of sequence in relevant portions of the aligning species. \
\
\
Genomic Breaks
\
\
Discontinuities in the genomic context (chromosome, scaffold or region) of the\
aligned DNA in the aligning species are shown as follows: \
\
\
Vertical blue bar: Represents a discontinuity that persists indefinitely\
on either side, e.g. a large region of DNA on either side of the bar\
comes from a different chromosome in the aligned species due to a large scale\
rearrangement. \
\
Green square brackets: Enclose shorter alignments consisting of DNA from\
one genomic context in the aligned species nested inside a larger chain of\
alignments from a different genomic context. The alignment within the\
brackets may represent a short misalignment, a lineage-specific insertion of a\
transposon in the human genome that aligns to a paralogous copy somewhere\
else in the aligned species, or other similar occurrence.\
\
\
Base Level
\
\
When zoomed-in to the base-level display, the track shows the base \
composition of each alignment. \
The numbers and symbols on the Gaps\
line indicate the lengths of gaps in the human sequence at those \
alignment positions relative to the longest non-human sequence. \
If there is sufficient space in the display, the size of the gap is shown. \
If the space is insufficient and the gap size is a multiple of 3, a \
"*" is displayed; other gap sizes are indicated by "+".
\
\
Codon translation is available in base-level display mode if the\
displayed region is identified as a coding segment. To display this annotation,\
select the species for translation from the pull-down menu in the Codon\
Translation configuration section at the top of the page. Then, select one of\
the following modes:\
\
\
No codon translation: The gene annotation is not used; the bases are\
displayed without translation. \
\
Use default species reading frames for translation: The annotations from the genome\
displayed \
in the Default species to establish reading frame pull-down menu are used to\
translate all the aligned species present in the alignment. \
\
Use reading frames for species if available, otherwise no translation: Codon\
translation is performed only for those species where the region is\
annotated as protein coding.\
Use reading frames for species if available, otherwise use default species:\
Codon translation is done on those species that are annotated as being protein\
coding over the aligned region using species-specific annotation; the remaining\
species are translated using the default species annotation. \
\
\
Codon translation uses the following gene tracks as the basis for\
translation, depending on the species chosen (Table 2). \
Species listed in the row labeled "None" do not have \
species-specific reading frames for gene translation.\
\
\
Gene Track
Species
\
Known Genes
human, mouse, rat
\
Ensembl Genes v55
alpaca, armadillo, bush baby, cat,\
chicken, chimp, cow, dog, dolphin, fugu, gorilla, guinea pig, hedgehog, horse,\
kangaroo rat, little brown bat, lizard, medaka, megabat, mouse, mouse lemur, opossum,\
orangutan, pika, platypus, rhesus, rock hyrax, shrew, sloth, squirrel,\
stickleback, tarsier, tenrec, tetraodon, tree shrew, X. tropicalis,\
zebra finch, zebrafish\
\
Table 2.Gene tracks used for codon translation.\
\
\
Methods
\
\
Pairwise alignments with the human genome were generated for \
each species using blastz from repeat-masked genomic sequence. \
Pairwise alignments were then linked into chains using a dynamic programming\
algorithm that finds maximally scoring chains of gapless subsections\
of the alignments organized in a kd-tree.\
The scoring matrix and parameters for pairwise alignment and chaining\
were tuned for each species based on phylogenetic distance from the reference.\
High-scoring chains were then placed along the genome, with\
gaps filled by lower-scoring chains, to produce an alignment net.\
For more information about the chaining and netting process and \
parameters for each species, see the description pages for the Chain and Net \
tracks.
\
\
An additional filtering step was introduced in the generation of the 46-way\
conservation track to reduce the number of paralogs and pseudogenes from the \
high-quality assemblies and the suspect alignments from the low-quality \
assemblies:\
the pairwise alignments of high-quality mammalian \
sequences (placental and marsupial) were filtered based on synteny; \
those for 2X mammalian genomes were filtered to retain only \
alignments of best quality in both the target and query ("reciprocal \
best").
\
\
The resulting best-in-genome pairwise alignments\
were progressively aligned using multiz/autoMZ, \
following the tree topology diagrammed above, to produce multiple alignments.\
The multiple alignments were post-processed to\
add annotations indicating alignment gaps, genomic breaks,\
and base quality of the component sequences.\
The annotated multiple alignments, in MAF format, are available for\
bulk download.\
An alignment summary table containing an entry for each\
alignment block in each species was generated to improve\
track display performance at large scales.\
Framing tables were constructed to enable\
visualization of codons in the multiple alignment display.
\
\
Phylogenetic Tree Model
\
\
Both phastCons and phyloP are phylogenetic methods that rely on a tree\
model containing the tree topology,\
branch lengths representing evolutionary distance at neutrally\
evolving sites, the background distribution of nucleotides, and a substitution\
rate matrix. \
The \
vertebrate tree model for this track was\
generated using the phyloFit program from the PHAST package \
(REV model, EM algorithm, medium precision) using multiple alignments of \
4-fold degenerate sites extracted from the 46way alignment\
(msa_view). The 4d sites were derived from the RefSeq (Reviewed+Coding) gene set,\
filtered to select single-coverage long transcripts. The \
placental mammal tree model\
and \
primate tree model\
were extracted from the vertebrate model.\
\
PhastCons Conservation
\
\
The phastCons program computes conservation scores based on a phylo-HMM, a\
type of probabilistic model that describes both the process of DNA\
substitution at each site in a genome and the way this process changes from\
one site to the next (Felsenstein and Churchill 1996, Yang 1995, Siepel and\
Haussler 2005). PhastCons uses a two-state phylo-HMM, with a state for\
conserved regions and a state for non-conserved regions. The value plotted\
at each site is the posterior probability that the corresponding alignment\
column was "generated" by the conserved state of the phylo-HMM. These\
scores reflect the phylogeny (including branch lengths) of the species in\
question, a continuous-time Markov model of the nucleotide substitution\
process, and a tendency for conservation levels to be autocorrelated along\
the genome (i.e., to be similar at adjacent sites). The general reversible\
(REV) substitution model was used. Unlike many conservation-scoring programs, \
phastCons does not rely on a sliding window\
of fixed size; therefore, short highly-conserved regions and long moderately\
conserved regions can both obtain high scores. \
More information about\
phastCons can be found in Siepel et al. 2005.
\
\
The phastCons parameters were\
tuned to produce 5% conserved elements in the genome for the vertebrate\
conservation measurement. This parameter set (expected-length=45, \
target-coverage=.3, rho=.31) was then used to generate the placental\
mammal and primate conservation scoring.
\
\
PhyloP Conservation
\
\
The phyloP program supports several different methods for computing\
p-values of conservation or acceleration, for individual nucleotides or\
larger elements (http://compgen.cshl.edu/phast/). Here it was used\
to produce separate scores at each base (--wig-scores option), considering\
all branches of the phylogeny rather than a particular subtree or lineage\
(i.e., the --subtree option was not used). The scores were computed by\
performing a likelihood ratio test at each alignment column (--method LRT),\
and scores for both conservation and acceleration were produced (--mode\
CONACC). \
\
Conserved Elements
\
\
The conserved elements were predicted by running phastCons with the\
--viterbi option. The predicted elements are segments of the alignment\
that are likely to have been "generated" by the conserved state of the\
phylo-HMM. Each element is assigned a log-odds score equal to its log\
probability under the conserved model minus its log probability under the\
non-conserved model. The "score" field associated with this track contains\
transformed log-odds scores, taking values between 0 and 1000. (The scores\
are transformed using a monotonic function of the form a * log(x) + b.) The\
raw log odds scores are retained in the "name" field and can be seen on the\
details page or in the browser when the track's display mode is set to\
"pack" or "full".\
\
\
Credits
\
This track was created using the following programs:\
Chaining and Netting: axtChain, chainNet by Jim Kent at UCSC\
Conservation scoring: phastCons, phyloP, phyloFit, tree_doctor, msa_view and\
other programs in PHAST by \
Adam Siepel at Cold Spring Harbor Laboratory (original development\
done at the Haussler lab at UCSC).\
MAF Annotation tools: mafAddIRows by Brian Raney, UCSC; mafAddQRows\
by Richard Burhans, Penn State; genePredToMafFrames by Mark Diekhans, UCSC\
Tree image generator: phyloPng by Galt Barber, UCSC\
Conservation track display: Kate Rosenbloom, Hiram Clawson (wiggle \
display), and Brian Raney (gap annotation and codon framing) at UCSC\
\
\
The phylogenetic tree is based on Murphy et al. (2001) and general \
consensus in the vertebrate phylogeny community as of March 2007.\
\
compGeno 1 compositeTrack on\
dimensions dimensionX=clade\
dragAndDrop subTracks\
group compGeno\
longLabel Vertebrate Multiz Alignment & Conservation (46 Species)\
priority 2\
shortLabel Cons 46-Way\
subGroup1 view Views align=Multiz_Alignments phyloP=Basewise_Conservation_(phyloP) phastcons=Element_Conservation_(phastCons) elements=Conserved_Elements\
subGroup2 clade Clade primate=Primate mammal=Mammal vert=Vertebrate\
track cons46way\
type bed 4\
visibility hide\
cons46wayViewelements Conserved Elements bed 4 Vertebrate Multiz Alignment & Conservation (46 Species) 0 2 0 0 0 127 127 127 0 0 0 compGeno 1 longLabel Vertebrate Multiz Alignment & Conservation (46 Species)\
parent cons46way\
shortLabel Conserved Elements\
track cons46wayViewelements\
view elements\
visibility hide\
cnvDevDelayControl Control gvf Copy Number Variation Morbidity Map of Developmental Delay - Control 3 2 0 0 0 127 127 127 0 0 0 phenDis 1 longLabel Copy Number Variation Morbidity Map of Developmental Delay - Control\
parent cnvDevDelay on\
priority 2\
shortLabel Control\
track cnvDevDelayControl\
type gvf\
visibility pack\
affyExonProbeCore Core Probes bed 10 Affymetrix Human Exon Array Core Probes 1 2 65 105 225 160 180 240 0 0 0 expression 1 color 65,105,225\
longLabel Affymetrix Human Exon Array Core Probes\
parent affyExonProbe off\
shortLabel Core Probes\
subGroups view=v2Probe level=L1Core\
track affyExonProbeCore\
type bed 10\
covidHgiGwasR4Pval COVID GWAS v4 bigLolly 9 + COVID risk variants from GWAS meta-analyses by the COVID-19 Host Genetics Initiative (Rel 4, Oct 2020) 0 2 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,
Description
\
\
This track set shows the results of the\
GWAS Data Release 4 (October 2020) \
from the \
\
COVID-19 Host Genetics Initiative (HGI): \
a collaborative effort to facilitate \
the generation of meta-analysis across multiple studies contributed by\
partners world-wide\
to identify the genetic determinants of SARS-CoV-2 infection susceptibility, disease severity \
and outcomes. The COVID-19 HGI also aims to provide a platform for study partners to \
share analytical results in the form of summary statistics and/or individual level data of COVID-19\
host genetics research. At the time of this release, a total of 137 studies were registered with \
this effort.\
\
\
\
The specific phenotypes studied by the COVID-19 HGI are those that benefit from maximal sample \
size: primary analysis on disease severity. For the Data Release 4 the number of cases have\
increased by nearly ten-fold (more than 30,000 COVID-19 cases and 1.47 million controls) by combining\
data from 34 studies across 16 countries. \
\
\
\
The four tracks here are based on data from HGI meta-analyses A2, B2, C1, and C2, described here:\
\
\
\
Severe COVID vars (A2): Cases with very severe respiratory failure confirmed\
for COVID-19 vs. population (i.e. everybody that is not a case).\
The increased sample size resulted in strong evidence of \
seven genomic regions associated with severe COVID-19 and one additional signal associated with \
COVID-19 partial-susceptibility. Many of these regions were identified by the \
Genetics of Mortality in Critical Care (GenOMICC)\
study and are shown below (table adapted from \
Pairo-Castineira et. al.).\
Hosp COVID vars (B2): Cases hospitalized and confirmed for COVID-19 vs. \
population (i.e. everybody that is not a case)
\
\
\
Tested COVID vars (C1): Cases with laboratory confirmed SARS-CoV-2 infection, or \
health record/physician-confirmed COVID-19, or self-reported COVID-19 via questionare vs. laboratory\
/self-reported negative cases
\
\
\
All COVID vars (C2): Cases with laboratory confirmed SARS-CoV-2 infection, or \
health record/physician-confirmed COVID-19, or self-reported COVID-19 vs. population (i.e. everybody\
that is not a case)
\
\
\
\
Due to privacy concerns, these browser tracks exclude data provided by 23andMe contributed\
studies in the full analysis results. The actual study and case \
and control counts for the individual browser tracks are listed in the track labels. Details on \
all studies can be found here.\
\
Display Conventions
\
\
Displayed items are colored by GWAS effect: red for positive (harmful) effect, \
blue for negative (protective) effect.\
The height ('lollipop stem') of the item is based on statistical significance (p-value). \
For better visualization of the data, only SNPs with p-values smaller than 1e-3 are \
displayed by default.
\
\
The color saturation indicates effect size (beta coefficient): values over the median of effect \
size are brightly colored (bright red\
\
, bright blue\
\
),\
those below the median are paler (light red\
\
, light blue\
\
). \
\
\
Each track has separate display controls and data can be filtered according to the\
number of studies, minimum -log10 p-value, and the\
effect size (beta coefficient), using the track Configure options.
\
\
Mouseover on items shows the rs ID (or chrom:pos if none assigned), both the non-effect \
and effect alleles, the effect size (beta coefficient), the p-value, and the number of \
studies.\
Additional information on each variant can be found on the details page by clicking on \
the item.
\
\
Methods
\
\
COVID-19 Host Genetics Initiative (HGI) GWAS meta-analysis round 4 (October 2020) results were \
used in this study. \
Each participating study partner submitted GWAS summary statistics for up to four \
of the COVID-19 phenotype definitions.
\
\
Data were generated from genome-wide SNP array and whole exome and genome\
sequencing, leveraging the impact of both common and rare variants. The statistical analysis\
performed takes into account differences between sex, ancestry, and date of sample collection. \
Alleles were harmonized across studies and reported allele frequencies are based on gnomAD \
version 3.0 reference data. Most study partners used the SAIGE GWAS pipeline in order \
to generate summary statistics used for the COVID-19 HGI meta-analysis. The summary statistics \
of individual studies were manually examined for inflation, \
deflation, and excessive number of false positives. \
Qualifying summary statistics were filtered for \
INFO > 0.6 and MAF > 0.0001 prior to meta-analyzing the entirety of the data. \
\
The meta-analysis was performed using fixed effects inverse variance weighting.\
The meta-analysis software and workflow are available here. More information about the \
prospective studies, processing pipeline, results and data sharing can be found \
here.\
\
\
\
Thanks to the COVID-19 Host Genetics Initiative contributors and project leads for making these \
data available, and in particular to Rachel Liao, Juha Karjalainen, and Kumar Veerapen at the \
Broad Institute for their review and input during browser track development.\
\
\
\
varRep 1 autoScale on\
bedNameLabel SNP\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22\
compositeTrack on\
filter._effectSizeAbs 0\
filter.effectSize -1.6:2.2\
filter.pValueLog 3\
filter.sourceCount 1\
filterByRange.effectSize on\
filterLabel._effectSizeAbs Minimum effect size +-\
filterLabel.effectSize Effect size range\
filterLabel.sourceCount Minimum number of studies\
filterLimits.effectSize -1.6:2.2\
group varRep\
lollyField 13\
longLabel COVID risk variants from GWAS meta-analyses by the COVID-19 Host Genetics Initiative (Rel 4, Oct 2020)\
maxHeightPixels 48:75:128\
maxItems 500000\
mouseOver $name $ref/$alt effect $effectSize pVal $pValue studies $sourceCount\
noScoreFilter on\
priority 2\
shortLabel COVID GWAS v4\
track covidHgiGwasR4Pval\
type bigLolly 9 +\
viewLimits 0:10\
visibility hide\
wgEncodeCrgMapabilityAlign36mer CRG Align 36 bigWig 0.00 1.00 Alignability of 36mers by GEM from ENCODE/CRG(Guigo) 0 2 0 100 0 127 177 127 0 0 0 map 1 color 0,100,0\
longLabel Alignability of 36mers by GEM from ENCODE/CRG(Guigo)\
origAssembly hg19\
parent wgEncodeMapabilityViewCRGMAP\
shortLabel CRG Align 36\
subGroups view=CRGMAP win=w036 lab=CRG\
track wgEncodeCrgMapabilityAlign36mer\
type bigWig 0.00 1.00\
dbSnp153ClinVar dbSNP(153) in ClinVar bigDbSnp Short Genetic Variants from dbSNP Release 153 Included in ClinVar 1 2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp153ClinVar.bb\
defaultGeneTracks knownGene\
longLabel Short Genetic Variants from dbSNP Release 153 Included in ClinVar\
parent dbSnp153ViewVariants off\
priority 2\
shortLabel dbSNP(153) in ClinVar\
subGroups view=variants\
track dbSnp153ClinVar\
dbVar_common_african dbVar Curated African SVs bigBed 9 + . NCBI dbVar Curated Common SVs: African 3 2 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$ varRep 1 bigDataUrl /gbdb/hg19/bbi/dbVar/common_african.bb\
longLabel NCBI dbVar Curated Common SVs: African\
parent dbVar_common on\
shortLabel dbVar Curated African SVs\
track dbVar_common_african\
type bigBed 9 + .\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$\
urlLabel NCBI Variant Page:\
dgvSupporting DGV Supp Var bigBed 9 + Database of Genomic Variants: Supporting Structural Var (CNV, Inversion, In/del) 0 2 0 0 0 127 127 127 0 0 0 http://dgv.tcag.ca/dgv/app/variant?id=$$&ref=$D varRep 1 bigDataUrl /gbdb/hg19/dgv/dgvSupporting.bb\
dataVersion 2020-02-25\
filter._size 1:9320633\
filterByRange._size on\
filterLabel._size Genomic size of variant\
filterValues.varType complex,deletion,duplication,gain,gain+loss,insertion,inversion,loss,mobile element insertion,novel sequence insertion,sequence alteration,tandem duplication\
longLabel Database of Genomic Variants: Supporting Structural Var (CNV, Inversion, In/del)\
mouseOver ID:$name; Position; $chrom:${chromStart}-${chromEnd}; Size:$_size; Type:$varType; Affected genes:$genes\
parent dgvPlus\
priority 2\
searchIndex name\
shortLabel DGV Supp Var\
track dgvSupporting\
type bigBed 9 +\
eioJcviNASNeg EIO/JCVI CD34- NAS bed 3 . CD34- cells Nuclease Accessible Sites 0 2 100 30 250 177 142 252 0 0 0 regulation 1 color 100,30,250\
longLabel CD34- cells Nuclease Accessible Sites\
parent eioJcviNAS\
priority 2\
shortLabel EIO/JCVI CD34- NAS\
track eioJcviNASNeg\
cons46wayViewphastcons Element Conservation (phastCons) bed 4 Vertebrate Multiz Alignment & Conservation (46 Species) 0 2 0 0 0 127 127 127 0 0 0 compGeno 1 longLabel Vertebrate Multiz Alignment & Conservation (46 Species)\
parent cons46way\
shortLabel Element Conservation (phastCons)\
track cons46wayViewphastcons\
view phastcons\
visibility hide\
encBlacklist ENCODE Blacklist V2 bigBed 4 ENCODE Blacklist V2 1 2 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/encBlacklist.bb\
longLabel ENCODE Blacklist V2\
parent problematic\
priority 2\
shortLabel ENCODE Blacklist V2\
track encBlacklist\
type bigBed 4\
visibility dense\
exacVariants ExAC Variants vcfTabix Exome Aggregation Consortium (ExAC) - Variants from 60,706 Exomes 0 2 0 0 0 127 127 127 0 0 83 chr1,chr10,chr11,chr11_gl000202_random,chr12,chr13,chr14,chr15,chr16,chr17,chr17_gl000203_random,chr17_gl000204_random,chr17_gl000205_random,chr17_gl000206_random,chr18,chr18_gl000207_random,chr19,chr19_gl000208_random,chr19_gl000209_random,chr1_gl000191_random,chr1_gl000192_random,chr2,chr20,chr21,chr21_gl000210_random,chr22,chr3,chr4,chr4_gl000193_random,chr4_gl000194_random,chr5,chr6,chr7,chr7_gl000195_random,chr8,chr8_gl000196_random,chr8_gl000197_random,chr9,chr9_gl000198_random,chr9_gl000199_random,chr9_gl000200_random,chr9_gl000201_random,chrUn_gl000211,chrUn_gl000212,chrUn_gl000213,chrUn_gl000214,chrUn_gl000215,chrUn_gl000216,chrUn_gl000217,chrUn_gl000218,chrUn_gl000219,chrUn_gl000220,chrUn_gl000221,chrUn_gl000222,chrUn_gl000223,chrUn_gl000224,chrUn_gl000225,chrUn_gl000226,chrUn_gl000227,chrUn_gl000228,chrUn_gl000229,chrUn_gl000230,chrUn_gl000231,chrUn_gl000232,chrUn_gl000233,chrUn_gl000234,chrUn_gl000235,chrUn_gl000236,chrUn_gl000237,chrUn_gl000238,chrUn_gl000239,chrUn_gl000240,chrUn_gl000241,chrUn_gl000242,chrUn_gl000243,chrUn_gl000244,chrUn_gl000245,chrUn_gl000246,chrUn_gl000247,chrUn_gl000248,chrUn_gl000249,chrX,chrY, http://gnomad.broadinstitute.org/variant/$s-$-$-$?dataset=exac&ignore=$$ varRep 1 bigDataUrl /gbdb/hg19/ExAC/ExAC.r0.3.sites.vep.hg19.vcf.gz\
chromosomes chr1,chr10,chr11,chr11_gl000202_random,chr12,chr13,chr14,chr15,chr16,chr17,chr17_gl000203_random,chr17_gl000204_random,chr17_gl000205_random,chr17_gl000206_random,chr18,chr18_gl000207_random,chr19,chr19_gl000208_random,chr19_gl000209_random,chr1_gl000191_random,chr1_gl000192_random,chr2,chr20,chr21,chr21_gl000210_random,chr22,chr3,chr4,chr4_gl000193_random,chr4_gl000194_random,chr5,chr6,chr7,chr7_gl000195_random,chr8,chr8_gl000196_random,chr8_gl000197_random,chr9,chr9_gl000198_random,chr9_gl000199_random,chr9_gl000200_random,chr9_gl000201_random,chrUn_gl000211,chrUn_gl000212,chrUn_gl000213,chrUn_gl000214,chrUn_gl000215,chrUn_gl000216,chrUn_gl000217,chrUn_gl000218,chrUn_gl000219,chrUn_gl000220,chrUn_gl000221,chrUn_gl000222,chrUn_gl000223,chrUn_gl000224,chrUn_gl000225,chrUn_gl000226,chrUn_gl000227,chrUn_gl000228,chrUn_gl000229,chrUn_gl000230,chrUn_gl000231,chrUn_gl000232,chrUn_gl000233,chrUn_gl000234,chrUn_gl000235,chrUn_gl000236,chrUn_gl000237,chrUn_gl000238,chrUn_gl000239,chrUn_gl000240,chrUn_gl000241,chrUn_gl000242,chrUn_gl000243,chrUn_gl000244,chrUn_gl000245,chrUn_gl000246,chrUn_gl000247,chrUn_gl000248,chrUn_gl000249,chrX,chrY\
configureByPopup off\
group varRep\
longLabel Exome Aggregation Consortium (ExAC) - Variants from 60,706 Exomes\
maxWindowToDraw 5000000\
parent exac\
shortLabel ExAC Variants\
showHardyWeinberg on\
track exacVariants\
type vcfTabix\
url http://gnomad.broadinstitute.org/variant/$s-$-$-$?dataset=exac&ignore=$$\
urlLabel ExAC:\
visibility hide\
dhcHumDerDenAncAllFixedDbSnp FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: All 3 2 0 0 0 127 127 127 0 0 0 denisova 1 color 0,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: All\
parent dhcHumDerDenAncAll\
shortLabel FxS\
subGroups view=All subset=All freq=FixedDbSnp\
track dhcHumDerDenAncAllFixedDbSnp\
geneHancerGenesDoubleElite GH genes TSS (DE) bigBed 9 GeneCards genes TSS (Double Elite) 3 2 0 0 0 127 127 127 0 0 0 http://www.genecards.org/cgi-bin/carddisp.pl?gene=$$ regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerGenesTssDoubleElite.hg19.bb\
longLabel GeneCards genes TSS (Double Elite)\
parent ghGeneTss on\
shortLabel GH genes TSS (DE)\
subGroups set=a_ELITE view=b_TSS\
track geneHancerGenesDoubleElite\
type bigBed 9\
wgEncodeGisRnaSeqGm12878CytosolPapMinusRawRep1 GM12 cyto pA+ - 1 bigWig 1.000000 13939.000000 GM12878 cytosol polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS 2 2 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewMinusRawSignal on\
shortLabel GM12 cyto pA+ - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqGm12878CytosolPapMinusRawRep1\
type bigWig 1.000000 13939.000000\
wgEncodeGisRnaPetGm12878CytosolPapMinusRawRep1V2 GM12 cyto pA+ - b bigWig 1.000000 1740170.000000 GM12878 cytosol polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 2 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel GM12 cyto pA+ - b\
subGroups view=v2MinusRawSignal cellType=aGM12878 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878CytosolPapMinusRawRep1V2\
type bigWig 1.000000 1740170.000000\
wgEncodeDukeAffyExonGm12878SimpleSignalRep2V2 GM12878 2 bigBed 6 + GM12878 Exon array Signal Rep 2 from ENCODE/Duke 0 2 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel GM12878 2\
subGroups cellType=t1GM12878 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm12878SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibGenotypeGm12878RegionsRep2 GM12878 2 bed 9 + GM12878 Copy number variants Replicate 2 from ENCODE/HAIB 0 2 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM12878 Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel GM12878 2\
subGroups cellType=t1GM12878 obtainedBy=HudsonAlpha treatment=None rep=rep2\
track wgEncodeHaibGenotypeGm12878RegionsRep2\
type bed 9 +\
wgEncodeHaibMethylRrbsGm12878HaibSitesRep2 GM12878 2 bed 9 + GM12878 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12878 2\
subGroups cellType=t1GM12878 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm12878HaibSitesRep2\
type bed 9 +\
wgEncodeGisDnaPetGm12878F5kAln GM12878 5k bam ENCODE GIS DNA PET Alignments (5k frags in GM12878 cells) 1 2 153 38 0 204 146 127 0 0 0 varRep 1 color 153,38,0\
longLabel ENCODE GIS DNA PET Alignments (5k frags in GM12878 cells)\
parent wgEncodeGisDnaPetViewAlignments off\
shortLabel GM12878 5k\
subGroups cellType=t1GM12878 fragSize=b5K\
track wgEncodeGisDnaPetGm12878F5kAln\
wgEncodeAwgTfbsHaibGm12878Atf3Pcr1xUniPk GM12878 ATF3 narrowPeak GM12878 TFBS Uniform Peaks of ATF3 from ENCODE/HudsonAlpha/Analysis 1 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ATF3 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ATF3\
subGroups tier=a10 cellType=a10GM12878 factor=ATF3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Atf3Pcr1xUniPk\
wgEncodeUncBsuProtGencGm12878CellIngelmPepMapGcFt GM12878 Ce PTM bigBed 12 GM12878 In-gel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 2 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 In-gel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel GM12878 Ce PTM\
subGroups view=mPepMapGcFt cellType=GM12878 localization=CELL protocol=INGEL\
track wgEncodeUncBsuProtGencGm12878CellIngelmPepMapGcFt\
type bigBed 12\
wgEncodeOpenChromChipGm12878CmycSig GM12878 cMyc DS bigWig 0.000000 0.750000 GM12878 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 2 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel GM12878 cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CmycSig\
type bigWig 0.000000 0.750000\
wgEncodeAwgSegmentationCombinedGm12878 GM12878 Combined bed 9 . GM12878 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 2 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation on\
shortLabel GM12878 Combined\
subGroups tier=t1 cellType=t1GM12878 method=Combined\
track wgEncodeAwgSegmentationCombinedGm12878\
type bed 9 .\
wgEncodeBroadHistoneGm12878CtcfStdSig GM12878 CTCF bigWig 0.040000 16386.560547 GM12878 CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 2 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 CTCF\
subGroups view=Signal factor=CTCF cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878CtcfStdSig\
type bigWig 0.040000 16386.560547\
wgEncodeAffyRnaChipFiltTransfragsGm12878CytosolLongnonpolya GM12878 cyto pA- broadPeak GM12878 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 2 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel GM12878 cyto pA-\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=bCYTOSOL rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsGm12878CytosolLongnonpolya\
type broadPeak\
wgEncodeOpenChromDnaseGm12878Sig GM12878 DS bigWig 0.000000 1.097700 GM12878 DNaseI HS Density Signal from ENCODE/Duke 2 2 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal\
shortLabel GM12878 DS\
subGroups view=SIG cellType=t1GM12878 treatment=zNONE\
track wgEncodeOpenChromDnaseGm12878Sig\
type bigWig 0.000000 1.097700\
wgEncodeSunyAlbanyGeneStGm12878Elavl1RbpAssocRnaV2 GM12878 ELAVL1 broadPeak GM12878 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 2 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel GM12878 ELAVL1\
subGroups cellType=t1GM12878 factor=ELAVL1\
track wgEncodeSunyAlbanyGeneStGm12878Elavl1RbpAssocRnaV2\
type broadPeak\
wgEncodeSunyRipSeqGm12878Elavl1AlnRep2 GM12878 ELAVL1 2 bam GM12878 ELAVL1 RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELAVL1 RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 ELAVL1 2\
subGroups view=Alignments factor=ELAVL1 cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878Elavl1AlnRep2\
type bam\
wgEncodeOpenChromFaireGm12878Sig GM12878 FAIRE DS bigWig 0.000000 0.559800 GM12878 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 2 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal\
shortLabel GM12878 FAIRE DS\
subGroups view=SIG cellType=t1GM12878 treatment=AANONE\
track wgEncodeOpenChromFaireGm12878Sig\
type bigWig 0.000000 0.559800\
wgEncodeUncBsuProtGm12878MitoSig GM12878 mito peptideMapping GM12878 Mitochondria Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 2 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Mitochondria Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel GM12878 mito\
subGroups view=Signal cellType=t1GM12878 localization=mito protocol=INGEL\
track wgEncodeUncBsuProtGm12878MitoSig\
type peptideMapping\
visibility full\
wgEncodeSunyAlbanyTilingGm12878Pabpc1RbpAssocRna GM12878 PABPC1 broadPeak GM12878 PABPC1 RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PABPC1 RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel GM12878 PABPC1\
subGroups view=RbpAssocRna cellType=t1GM12878 antibody=PABPC1\
track wgEncodeSunyAlbanyTilingGm12878Pabpc1RbpAssocRna\
type broadPeak\
wgEncodeUwDnaseGm12878PkRep1 GM12878 Pk 1 narrowPeak GM12878 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks\
shortLabel GM12878 Pk 1\
subGroups view=Peaks cellType=t1GM12878 rep=rep1 treatment=None\
track wgEncodeUwDnaseGm12878PkRep1\
type narrowPeak\
wgEncodeUwRepliSeqGm12878S1PctSignalRep1 GM12878 S1 1 bigWig 1.000000 100.000000 GM12878 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 2 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 S1 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqGm12878S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeCaltechRnaSeqGm12878R2x75Il200AlignsRep2V2 GM78 2x75 A 2 bam GM12878 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 2 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel GM78 2x75 A 2\
subGroups view=Aligns cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il200AlignsRep2V2\
type bam\
wgEncodeHaibTfbsGm12878Atf2sc81188V0422111RawRep1 GM78 ATF2 V11 1 bigWig 0.161893 158.330994 GM12878 ATF2 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 2 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ATF2 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ATF2 V11 1\
subGroups view=RawSignal factor=ATF2SC81188 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Atf2sc81188V0422111RawRep1\
type bigWig 0.161893 158.330994\
wgEncodeSydhTfbsGm12878Bhlhe40cIggmusSig GM78 BHL4 IgM bigWig 1.000000 8856.000000 GM12878 BHLHE40 NB100 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 2 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BHLHE40 NB100 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 BHL4 IgM\
subGroups view=Signal factor=BHLHE40NB100 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Bhlhe40cIggmusSig\
type bigWig 1.000000 8856.000000\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaAlnRep2 GM78 cel pA- A 2 bam GM12878 whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 2 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cel pA- A 2\
subGroups view=Alignments cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapMinusRawRep1 GM78 cell TAP - 1 bigWig 1.000000 3646991.000000 GM12878 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 2 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal on\
shortLabel GM78 cell TAP - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapMinusRawRep1\
type bigWig 1.000000 3646991.000000\
wgEncodeUwTfbsGm12878CtcfStdPkRep1 GM78 CTCF Pk 1 narrowPeak GM12878 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks on\
shortLabel GM78 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t1GM12878 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdPkRep1\
type narrowPeak\
wgEncodeRikenCageGm12878CytosolPamPlusSignal GM78 cyto pA- + 1 bigWig 0.040000 4464.319824 GM12878 cytosol polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 2 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 cyto pA- + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPamPlusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeUwHistoneGm12878H3k4me3StdPkRep1 GM78 H3K4M3 Pk 1 narrowPeak GM12878 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 2 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdPkRep1\
type narrowPeak\
gnomadSvControls gnomAD Control Only SV's bigBed 9 + gnomAD Structural Variants Controls Only 1 2 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/structuralVariants/gnomad_v2.1_sv.controls_only.sites.bb\
filter.svlen 50:199840172\
filterByRange.svlen on\
filterLabel.svlen Filter by Variant Size\
filterLabel.svtype Type of Variation\
filterValues.svtype BND|Breakend,CPX|Complex,CTX|Translocation,DEL|Deletion,DUP|Duplication,INS|Insertion,INV|Inversion,MCNV|Multi-allele CNV\
itemRgb on\
longLabel gnomAD Structural Variants Controls Only\
mouseOverField _mouseOver\
parent gnomadStructuralVariants off\
searchIndex name\
shortLabel gnomAD Control Only SV's\
track gnomadSvControls\
type bigBed 9 +\
url https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1\
urlLabel gnomAD Structural Variant Browser\
missenseByGene gnomAD Gene Missense Constraint bigBed 12 + gnomAD Predicted Missense Constraint Metrics By Gene (Z-scores) v2.1.1 3 2 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/gene/$$?dataset=gnomad_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/missense/missenseByGene.bb\
filter._zscore -10:10\
filterByRange._zscore on\
filterLabel._zscore Show only items between this Z-score range\
itemRgb on\
labelFields name,geneName\
longLabel gnomAD Predicted Missense Constraint Metrics By Gene (Z-scores) v2.1.1\
mouseOverField _mouseOver\
parent gnomadPLI off\
priority 2\
searchIndex name,geneName\
shortLabel gnomAD Gene Missense Constraint\
track missenseByGene\
type bigBed 12 +\
url https://gnomad.broadinstitute.org/gene/$$?dataset=gnomad_r2_1\
urlLabel View this Gene on the gnomAD browser\
pliByTranscript gnomAD Transcript LoF Constraint bigBed 12 + gnomAD Predicted Loss of Function Constraint Metrics By Transcript (pLI) v2.1.1 3 2 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/transcript/$$?dataset=gnomad_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/pLI/pliByTranscript.bb\
filter._pli 0:1\
filterByRange._pli on\
filterLabel._pli Show only items between this pLI range\
itemRgb on\
labelFields name,geneName\
longLabel gnomAD Predicted Loss of Function Constraint Metrics By Transcript (pLI) v2.1.1\
mouseOverField _mouseOver\
parent gnomadPLI off\
priority 2\
searchIndex name,geneName\
shortLabel gnomAD Transcript LoF Constraint\
track pliByTranscript\
type bigBed 12 +\
url https://gnomad.broadinstitute.org/transcript/$$?dataset=gnomad_r2_1\
urlLabel View this Transcript on the gnomAD browser\
missenseByTranscript gnomAD Transcript Missense Constraint bigBed 12 + gnomAD Predicted Missense Constraint Metrics By Transcript (Z-scores) v2.1.1 3 2 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/transcript/$$?dataset=gnomad_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/missense/missenseByTranscript.bb\
filter._zscore -10:10\
filterByRange._zscore on\
filterLabel._zscore Show only items between this Z-score range\
itemRgb on\
labelFields name,geneName\
longLabel gnomAD Predicted Missense Constraint Metrics By Transcript (Z-scores) v2.1.1\
mouseOverField _mouseOver\
parent gnomadPLI off\
priority 2\
searchIndex name,geneName\
shortLabel gnomAD Transcript Missense Constraint\
track missenseByTranscript\
type bigBed 12 +\
url https://gnomad.broadinstitute.org/transcript/$$?dataset=gnomad_r2_1\
urlLabel View this Transcript on the gnomAD browser\
hinv70NonCoding H-Inv non-coding bed 12 H-Inv v7.0 Non-coding Gene Predictions 0 2 15 100 180 135 177 217 0 0 0 http://h-invitational.jp/hinv/spsoup/transcript_view?hit_id=$$ genes 1 color 15,100,180\
longLabel H-Inv v7.0 Non-coding Gene Predictions\
parent hinv70Composite\
priority 2\
shortLabel H-Inv non-coding\
track hinv70NonCoding\
wgEncodeRegMarkH3k4me1H1hesc H1-hESC bigWig 0 8355 H3K4Me1 Mark (Often Found Near Regulatory Elements) on H1-hESC Cells from ENCODE 0 2 255 212 128 255 233 191 0 0 0 regulation 1 color 255,212,128\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on H1-hESC Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel H1-hESC\
table wgEncodeBroadHistoneH1hescH3k4me1StdSig\
track wgEncodeRegMarkH3k4me1H1hesc\
type bigWig 0 8355\
wgEncodeRegMarkH3k4me3H1hesc H1-hESC bigWig 0 6957 H3K4Me3 Mark (Often Found Near Promoters) on H1-hESC Cells from ENCODE 0 2 255 212 128 255 233 191 0 0 0 regulation 1 color 255,212,128\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on H1-hESC Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel H1-hESC\
table wgEncodeBroadHistoneH1hescH3k4me3StdSig\
track wgEncodeRegMarkH3k4me3H1hesc\
type bigWig 0 6957\
wgEncodeRegTxnCaltechRnaSeqH1hescR2x75Il200SigPooled H1-hESC bigWig 0 65535 Transcription of H1-hESC cells from ENCODE 0 2 255 212 128 255 233 191 0 0 0 regulation 1 color 255,212,128\
longLabel Transcription of H1-hESC cells from ENCODE\
parent wgEncodeRegTxn\
priority 2\
shortLabel H1-hESC\
track wgEncodeRegTxnCaltechRnaSeqH1hescR2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeRegMarkH3k27acH1hesc H1-hESC bigWig 0 14898 H3K27Ac Mark (Often Found Near Regulatory Elements) on H1-hESC Cells from ENCODE 2 2 255 212 128 255 233 191 0 0 0 regulation 1 color 255,212,128\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on H1-hESC Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel H1-hESC\
table wgEncodeBroadHistoneH1hescH3k27acStdSig\
track wgEncodeRegMarkH3k27acH1hesc\
type bigWig 0 14898\
wgEncodeHaibMethyl450H1hescSitesRep1 H1-hESC bed 9 H1-hESC Methylation 450K Bead Array from ENCODE/HAIB 1 2 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel H1-hESC\
subGroups cellType=t1H1HESC obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450H1hescSitesRep1\
type bed 9\
wgEncodeFsuRepliChipH1hescWaveSignalRep2 H1-hESC 2 bigWig -2.136414 2.603866 H1-hESC Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 2 0 107 27 127 181 141 0 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip\
shortLabel H1-hESC 2\
subGroups view=WaveSignal cellType=t1H1HESC rep=rep2\
track wgEncodeFsuRepliChipH1hescWaveSignalRep2\
type bigWig -2.136414 2.603866\
wgEncodeBroadHmmH1hescHMM H1-hESC ChromHMM bed 9 . H1-hESC Chromatin State Segmentation by HMM from ENCODE/Broad 0 2 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel H1-hESC ChromHMM\
subGroups cellType=t1H1HESC\
track wgEncodeBroadHmmH1hescHMM\
type bed 9 .\
wgEncodeAwgDnaseUwdukeH1hescUniPk H1-hESC DNase narrowPeak H1-hESC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 2 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel H1-hESC DNase\
subGroups tier=a10 cellType=a10H1-hESC\
track wgEncodeAwgDnaseUwdukeH1hescUniPk\
wgEncodeUmassDekker5CH1hescPkV2 H1-hESC Pk bed 12 H1-hESC 5C Peaks from ENCODE/UMass-Dekker 0 2 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC 5C Peaks from ENCODE/UMass-Dekker\
parent wgEncodeUmassDekker5C\
shortLabel H1-hESC Pk\
subGroups cellType=t1H1HESC region=NONE\
track wgEncodeUmassDekker5CH1hescPkV2\
type bed 12\
wgEncodeOpenChromSynthH1hescPk H1-hESC Syn Pk bed 9 + H1-hESC DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 2 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth\
shortLabel H1-hESC Syn Pk\
subGroups cellType=t1H1HESC treatment=aNone\
track wgEncodeOpenChromSynthH1hescPk\
type bed 9 +\
hapmapSnpsCEU HapMap SNPs CEU bed 6 + HapMap SNPs from the CEU Population (Northern and Western European Ancestry in Utah, US - CEPH) 0 2 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the CEU Population (Northern and Western European Ancestry in Utah, US - CEPH)\
parent hapmapSnps\
priority 2\
shortLabel HapMap SNPs CEU\
track hapmapSnpsCEU\
hmc HMC bigWig HMC - Homologous Missense Constraint Score on PFAM domains 2 2 0 130 0 127 192 127 0 0 0
Description
\
\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
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maxWindowToDraw 10000000\
mouseOverFunction noAverage\
parent constraintSuper\
priority 2\
shortLabel HMC\
track hmc\
type bigWig\
viewLimits 0:2\
viewLimitsMax 0:2\
visibility full\
yLineMark 0.8\
yLineOnOff on\
hmecInsitu HMEC Hi-C hic In situ Hi-C Chromatin Structure on HMEC 0 2 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_HMEC_combined.hic\
longLabel In situ Hi-C Chromatin Structure on HMEC\
parent rao2014Hic off\
shortLabel HMEC Hi-C\
track hmecInsitu\
type hic\
covidHgiGwasB2 Hosp COVID GWAS bigLolly 9 + Hospitalized COVID GWAS from the COVID-19 Host Genetics Initiative (3199 cases, 8 studies) 0 2 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22, varRep 1 bigDataUrl /gbdb/hg19/covidHgiGwas/covidHgiGwasB2.hg19.bb\
longLabel Hospitalized COVID GWAS from the COVID-19 Host Genetics Initiative (3199 cases, 8 studies)\
parent covidHgiGwas off\
shortLabel Hosp COVID GWAS\
track covidHgiGwasB2\
covidHgiGwasR4PvalB2 Hosp COVID vars bigLolly 9 + Hospitalized COVID risk variants from the COVID-19 HGI GWAS Analysis B2 (7885 cases, 21 studies, Rel 4: Oct 2020) 0 2 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22, varRep 1 bigDataUrl /gbdb/hg19/covidHgiGwas/covidHgiGwasR4.B2.hg19.bb\
longLabel Hospitalized COVID risk variants from the COVID-19 HGI GWAS Analysis B2 (7885 cases, 21 studies, Rel 4: Oct 2020)\
parent covidHgiGwasR4Pval on\
priority 2\
shortLabel Hosp COVID vars\
track covidHgiGwasR4PvalB2\
wgEncodeSunySwitchgearHt1080Igf2bp1RbpAssocRna HT-1080 IGF2BP1 broadPeak HT-1080 IGF2BP1 RBP Associated RNA by Switchgear from ENCODE/SUNY 0 2 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HT-1080 IGF2BP1 RBP Associated RNA by Switchgear from ENCODE/SUNY\
parent wgEncodeSunySwitchgear on\
shortLabel HT-1080 IGF2BP1\
subGroups factor=IGF2BP1 cellType=HT1080\
track wgEncodeSunySwitchgearHt1080Igf2bp1RbpAssocRna\
type broadPeak\
phastBiasPosteriors3 human posterior bigWig 0 1 phastBias gBGC posterior probability on human branch 0 2 0 0 0 127 127 127 0 0 0 compGeno 0 longLabel phastBias gBGC posterior probability on human branch\
parent phastBiasPosteriors\
priority 2\
shortLabel human posterior\
subGroups view=POST\
track phastBiasPosteriors3\
xGen_Research_Probes IDT xGen v1.0 P bigBed IDT - xGen Exome Research Panel V1.0 Probes 1 2 255 176 0 255 215 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/xgen-exome-research-panel-probes-hg19.bb\
color 255,176,0\
longLabel IDT - xGen Exome Research Panel V1.0 Probes\
parent exomeProbesets off\
shortLabel IDT xGen v1.0 P\
track xGen_Research_Probes\
type bigBed\
visibility dense\
jaspar2022 JASPAR 2022 TFBS bigBed 6 + JASPAR CORE 2022 - Predicted Transcription Factor Binding Sites 0 2 0 0 0 127 127 127 1 0 0 http://jaspar.genereg.net/search?q=$$&collection=all&tax_group=all&tax_id=all&type=all&class=all&family=all&version=all regulation 1 bigDataUrl /gbdb/hg19/jaspar/JASPAR2022.bb\
filterValues.TFName Ahr::Arnt,Alx1,ALX3,Alx4,Ar,ARGFX,Arid3a,Arid3b,Arid5a,Arnt,ARNT2,ARNT::HIF1A,Arntl,Arx,ASCL1,Ascl2,Atf1,ATF2,Atf3,ATF3,ATF4,ATF6,ATF7,Atoh1,ATOH7,BACH1,Bach1::Mafk,BACH2,BARHL1,BARHL2,BARX1,BARX2,BATF,BATF3,BATF::JUN,Bcl11B,BCL6,BCL6B,Bhlha15,BHLHA15,BHLHE22,BHLHE23,BHLHE40,BHLHE41,BNC2,BSX,CDX1,CDX2,CDX4,CEBPA,CEBPB,CEBPD,CEBPE,CEBPG,CLOCK,CREB1,CREB3,CREB3L1,Creb3l2,CREB3L4,Creb5,CREM,Crx,CTCF,CTCFL,CUX1,CUX2,DBP,Ddit3::Cebpa,DLX1,Dlx2,Dlx3,Dlx4,Dlx5,DLX6,Dmbx1,Dmrt1,DMRT3,DMRTA1,DMRTA2,DMRTC2,DPRX,DRGX,Dux,DUX4,DUXA,E2F1,E2F2,E2F3,E2F4,E2F6,E2F7,E2F8,EBF1,Ebf2,EBF3,EGR1,EGR2,EGR3,EGR4,EHF,ELF1,ELF2,ELF3,ELF4,Elf5,ELK1,ELK1::HOXA1,ELK1::HOXB13,ELK1::SREBF2,ELK3,ELK4,EMX1,EMX2,EN1,EN2,EOMES,ERF,ERF::FIGLA,ERF::FOXI1,ERF::FOXO1,ERF::HOXB13,ERF::NHLH1,ERF::SREBF2,Erg,ESR1,ESR2,ESRRA,ESRRB,Esrrg,ESX1,ETS1,ETS2,ETV1,ETV2,ETV2::DRGX,ETV2::FIGLA,ETV2::FOXI1,ETV2::HOXB13,ETV3,ETV4,ETV5,ETV5::DRGX,ETV5::FIGLA,ETV5::FOXI1,ETV5::FOXO1,ETV5::HOXA2,ETV6,ETV7,EVX1,EVX2,EWSR1-FLI1,FERD3L,FEV,FIGLA,FLI1,FLI1::DRGX,FLI1::FOXI1,FOS,FOSB::JUN,FOSB::JUNB,FOS::JUN,FOS::JUNB,FOS::JUND,FOSL1,FOSL1::JUN,FOSL1::JUNB,FOSL1::JUND,FOSL2,FOSL2::JUN,FOSL2::JUNB,FOSL2::JUND,FOXA1,FOXA2,FOXA3,FOXB1,FOXC1,FOXC2,FOXD1,FOXD2,FOXD3,FOXE1,Foxf1,FOXF2,FOXG1,FOXH1,FOXI1,Foxj2,FOXJ2::ELF1,Foxj3,FOXK1,FOXK2,FOXL1,Foxl2,Foxn1,FOXN3,Foxo1,FOXO1::ELF1,FOXO1::ELK1,FOXO1::ELK3,FOXO1::FLI1,Foxo3,FOXO4,FOXO6,FOXP1,FOXP2,FOXP3,Foxq1,GABPA,GATA1,GATA1::TAL1,GATA2,Gata3,GATA4,GATA5,GATA6,GBX1,GBX2,GCM1,GCM2,GFI1,Gfi1B,Gli1,Gli2,GLI3,GLIS1,GLIS2,GLIS3,Gmeb1,GMEB2,GRHL1,GRHL2,GSC,GSC2,GSX1,GSX2,Hand1::Tcf3,HAND2,HES1,HES2,HES5,HES6,HES7,HESX1,HEY1,HEY2,Hic1,HIC2,HIF1A,HINFP,HLF,HMBOX1,Hmx1,Hmx2,Hmx3,Hnf1A,HNF1A,HNF1B,HNF4A,HNF4G,HOXA1,HOXA10,Hoxa11,Hoxa13,HOXA2,HOXA4,HOXA5,HOXA6,HOXA7,HOXA9,HOXB13,HOXB2,HOXB2::ELK1,HOXB3,HOXB4,HOXB5,HOXB6,HOXB7,HOXB8,HOXB9,HOXC10,HOXC11,HOXC12,HOXC13,HOXC4,HOXC8,HOXC9,HOXD10,HOXD11,HOXD12,HOXD12::ELK1,Hoxd13,HOXD3,HOXD4,HOXD8,HOXD9,HSF1,HSF2,HSF4,IKZF1,Ikzf3,INSM1,Irf1,IRF2,IRF3,IRF4,IRF5,IRF6,IRF7,IRF8,IRF9,Isl1,ISL2,ISX,JDP2,Jun,JUN,JUNB,JUND,JUN::JUNB,KLF1,KLF10,KLF11,KLF12,KLF13,KLF14,KLF15,KLF16,KLF17,KLF2,KLF3,KLF4,KLF5,KLF6,KLF7,KLF9,LBX1,LBX2,Lef1,Lhx1,LHX2,Lhx3,Lhx4,LHX5,LHX6,Lhx8,LHX9,LIN54,LMX1A,LMX1B,MAF,MAFA,Mafb,MAFF,Mafg,MAFG::NFE2L1,MAFK,MAF::NFE2,MAX,MAX::MYC,MAZ,Mecom,MEF2A,MEF2B,MEF2C,MEF2D,MEIS1,MEIS2,MEIS3,MEOX1,MEOX2,MGA,MGA::EVX1,MITF,mix-a,MIXL1,MLX,Mlxip,MLXIPL,MNT,MNX1,MSANTD3,MSC,Msgn1,MSX1,MSX2,Msx3,MTF1,MXI1,MYB,MYBL1,MYBL2,MYC,MYCN,MYF5,MYF6,MYOD1,MYOG,MZF1,NEUROD1,Neurod2,NEUROG1,NEUROG2,Nfat5,Nfatc1,Nfatc2,NFATC3,NFATC4,NFE2,Nfe2l2,NFIA,NFIB,NFIC,NFIC::TLX1,NFIL3,NFIX,NFKB1,NFKB2,NFYA,NFYB,NFYC,NHLH1,NHLH2,Nkx2-1,NKX2-2,NKX2-3,NKX2-4,NKX2-5,NKX2-8,Nkx3-1,Nkx3-2,NKX6-1,NKX6-2,NKX6-3,Nobox,NOTO,Npas2,Npas4,NR1D1,NR1D2,Nr1H2,NR1H2::RXRA,Nr1h3::Rxra,Nr1H4,NR1H4::RXRA,NR1I2,NR1I3,NR2C1,NR2C2,Nr2e1,Nr2e3,NR2F1,NR2F2,Nr2f6,Nr2F6,NR2F6,NR3C1,NR3C2,NR4A1,NR4A2,NR4A2::RXRA,NR5A1,Nr5A2,NR6A1,Nrf1,NRL,OLIG1,Olig2,OLIG2,OLIG3,ONECUT1,ONECUT2,ONECUT3,OSR1,OSR2,OTX1,OTX2,OVOL1,OVOL2,PATZ1,PAX1,PAX2,PAX3,PAX4,PAX5,PAX6,Pax7,PAX9,PBX1,PBX2,PBX3,PDX1,PHOX2A,PHOX2B,PITX1,PITX2,PITX3,PKNOX1,PKNOX2,PLAG1,Plagl1,PLAGL2,POU1F1,POU2F1,POU2F1::SOX2,POU2F2,POU2F3,POU3F1,POU3F2,POU3F3,POU3F4,POU4F1,POU4F2,POU4F3,POU5F1,POU5F1B,Pou5f1::Sox2,POU6F1,POU6F2,PPARA::RXRA,PPARD,PPARG,Pparg::Rxra,PRDM1,Prdm14,Prdm15,Prdm4,Prdm5,PRDM9,PROP1,PROX1,PRRX1,PRRX2,Ptf1a,Ptf1A,RARA,RARA::RXRA,RARA::RXRG,Rarb,RARB,Rarg,RARG,RAX,RAX2,RBPJ,Rbpjl,REL,RELA,RELB,REST,RFX1,RFX2,RFX3,RFX4,RFX5,Rfx6,RFX7,Rhox11,RHOXF1,RORA,RORB,RORC,RREB1,Runx1,RUNX2,RUNX3,Rxra,RXRA::VDR,RXRB,RXRG,SATB1,SCRT1,SCRT2,Sf1,SHOX,Shox2,SIX1,SIX2,Six3,Six4,SMAD2,Smad2::Smad3,SMAD2::SMAD3::SMAD4,SMAD3,Smad4,SMAD5,SNAI1,SNAI2,SNAI3,SOHLH2,Sox1,SOX10,Sox11,SOX12,SOX13,SOX14,SOX15,Sox17,SOX18,SOX2,SOX21,Sox3,SOX4,Sox5,Sox6,SOX8,SOX9,SP1,SP2,SP3,SP4,SP5,SP8,SP9,SPDEF,Spi1,SPIB,SPIC,Spz1,SREBF1,SREBF2,SRF,SRY,STAT1,STAT1::STAT2,Stat2,STAT3,Stat4,Stat5a,Stat5a::Stat5b,Stat5b,Stat6,TAL1::TCF3,TBP,TBR1,TBX1,TBX15,TBX18,TBX19,TBX2,TBX20,TBX21,TBX3,TBX4,TBX5,Tbx6,TBXT,Tcf12,TCF12,Tcf21,TCF21,TCF3,TCF4,TCF7,TCF7L1,TCF7L2,TCFL5,TEAD1,TEAD2,TEAD3,TEAD4,TEF,TFAP2A,TFAP2B,TFAP2C,TFAP2E,TFAP4,TFAP4::ETV1,TFAP4::FLI1,TFCP2,Tfcp2l1,TFDP1,TFE3,TFEB,TFEC,TGIF1,TGIF2,TGIF2LX,TGIF2LY,THAP1,Thap11,THRA,THRB,TLX2,TP53,TP63,TP73,TRPS1,TWIST1,Twist2,UNCX,USF1,USF2,VAX1,VAX2,Vdr,VENTX,VEZF1,VSX1,VSX2,Wt1,XBP1,Yy1,YY2,ZBED1,ZBED2,ZBTB12,ZBTB14,ZBTB18,ZBTB26,ZBTB32,ZBTB33,ZBTB6,ZBTB7A,ZBTB7B,ZBTB7C,ZEB1,ZFP14,Zfp335,ZFP42,ZFP57,Zfx,ZIC1,Zic1::Zic2,Zic2,Zic3,ZIC4,ZIC5,ZIM3,ZKSCAN1,ZKSCAN3,ZKSCAN5,ZNF135,ZNF136,ZNF140,ZNF143,ZNF148,ZNF16,ZNF189,ZNF211,ZNF214,ZNF24,ZNF257,ZNF263,ZNF274,ZNF281,ZNF282,ZNF317,ZNF320,ZNF324,ZNF331,ZNF341,ZNF343,ZNF354A,ZNF354C,ZNF382,ZNF384,ZNF410,ZNF416,ZNF417,ZNF418,Znf423,ZNF449,ZNF454,ZNF460,ZNF528,ZNF530,ZNF549,ZNF574,ZNF582,ZNF610,ZNF652,ZNF667,ZNF669,ZNF675,ZNF680,ZNF682,ZNF684,ZNF692,ZNF701,ZNF707,ZNF708,ZNF740,ZNF75D,ZNF76,ZNF768,ZNF784,ZNF8,ZNF816,ZNF85,ZNF93,ZSCAN29,ZSCAN31,ZSCAN4\
labelFields TFName\
longLabel JASPAR CORE 2022 - Predicted Transcription Factor Binding Sites\
motifPwmTable hgFixed.jasparCore2022\
parent jaspar off\
priority 2\
shortLabel JASPAR 2022 TFBS\
track jaspar2022\
type bigBed 6 +\
visibility hide\
wgEncodeUwAffyExonArrayK562SimpleSignalRep1 K562 1 broadPeak K562 Exon array Signal Rep 1 from ENCODE/UW 0 2 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray on\
shortLabel K562 1\
subGroups cellType=t1K562 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayK562SimpleSignalRep1\
type broadPeak\
wgEncodeGisChiaPetK562CtcfSigRep1 K562 CTCF Sig 1 bigWig 1.000000 1007.000000 K562 CTCF ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 2 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal on\
shortLabel K562 CTCF Sig 1\
subGroups view=Signal factor=CTCF cellType=t1K562 rep=rep1\
track wgEncodeGisChiaPetK562CtcfSigRep1\
type bigWig 1.000000 1007.000000\
wgEncodeUchicagoTfbsK562EfosControlSig K562 FOS/GFP Sg bigWig -19284.970703 7497.709473 K562 FOS GFP-tag TFBS Signal from ENCODE/UChicago 2 2 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 FOS GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 FOS/GFP Sg\
subGroups view=Signal factor=FOS cellType=K562 control=ControlFOS rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EfosControlSig\
type bigWig -19284.970703 7497.709473\
wgEncodeSydhHistoneK562H3k4me1UcdSig K562 H3K4me1 bigWig 1.000000 3999.000000 K562 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 2 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel K562 H3K4me1\
subGroups view=Signal factor=H3K04ME1 cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k4me1UcdSig\
type bigWig 1.000000 3999.000000\
wgEncodeSydhRnaSeqK562Ifna30PolyaRaw K562 pA+ Na30 bigWig 0.000000 165257.000000 K562 polyA+ IFNa30 RNA-seq Raw Signal from ENCODE/SYDH 2 2 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polyA+ IFNa30 RNA-seq Raw Signal from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewSignal on\
shortLabel K562 pA+ Na30\
subGroups view=RawSignal cellType=t1K562 rnaExtract=polyA treatment=IFNa30\
track wgEncodeSydhRnaSeqK562Ifna30PolyaRaw\
type bigWig 0.000000 165257.000000\
wgEncodeUwDgfK562Pk K562 Pk narrowPeak K562 DNaseI DGF Peaks from ENCODE/UW 0 2 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks on\
shortLabel K562 Pk\
subGroups view=Peaks cellType=t1K562 treatment=aNONE rep=rep1\
track wgEncodeUwDgfK562Pk\
type narrowPeak\
wgEncodeSydhNsomeK562Sig K562 Sig bigWig 0.000000 31303.900391 K562 Nucleosome Signal from ENCODE/Stanford/BYU 2 2 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Nucleosome Signal from ENCODE/Stanford/BYU\
origAssembly hg19\
parent wgEncodeSydhNsomeViewSignal\
shortLabel K562 Sig\
subGroups view=Signal cellType=t1K562\
track wgEncodeSydhNsomeK562Sig\
type bigWig 0.000000 31303.900391\
pgKb1454 KB1 454 pgSnp KB1 Genome Variants, 454 3 2 0 0 0 127 127 127 0 0 0 varRep 1 longLabel KB1 Genome Variants, 454\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel KB1 454\
subGroups view=A_PSU id=AA_KB1 type=SNP\
track pgKb1454\
lovdLong LOVD Variants >= 50 bp bigBed 9 + LOVD: Leiden Open Variation Database Public Variants, long >= 50 bp variants 0 2 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/lovd/lovd.hg19.long.bb\
group phenDis\
longLabel LOVD: Leiden Open Variation Database Public Variants, long >= 50 bp variants\
mergeSpannedItems on\
noScoreFilter on\
parent lovdComp\
shortLabel LOVD Variants >= 50 bp\
track lovdLong\
type bigBed 9 +\
urls id="https://varcache.lovd.nl/redirect/$$"\
visibility hide\
MaxCounts_Rev Max counts of CAGE reads (rev) bigWig Max counts of CAGE reads reverse 2 2 0 0 255 127 127 255 0 0 0 regulation 0 bigDataUrl /gbdb/hg19/fantom5/ctssMaxCounts.rev.bw\
color 0,0,255\
dataVersion FANTOM5 phase2.5\
longLabel Max counts of CAGE reads reverse\
parent Max_counts_multiwig\
shortLabel Max counts of CAGE reads (rev)\
subGroups category=max strand=reverse\
track MaxCounts_Rev\
type bigWig\
MaxAFmutC MaxAF Mutation: C bigWig -1.29334 0.75731 BayesDel v1 Score (MaxAF): Mutation is C 2 2 120 193 194 187 224 224 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
The NCBI RefSeq Genes composite track shows human protein-coding and non-protein-coding\
genes taken from the NCBI RNA reference sequences collection (RefSeq). All subtracks use\
coordinates provided by RefSeq, except for the UCSC RefSeq track, which UCSC produces by\
realigning the RefSeq RNAs to the genome. This realignment may result in occasional differences\
between the annotation coordinates provided by UCSC and NCBI. See the \
Methods section for more details about how the different tracks were \
created.
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Display Conventions and Configuration
\
\
This track is a composite track that contains differing data sets.\
To show only a selected set of subtracks, uncheck the boxes next to the tracks that you wish to \
hide. Note: Not all subtracts are available on all assemblies.
\
\
The possible subtracks include:\
\
RefSeq aligned annotations and UCSC alignment of RefSeq annotations\
\
\
\
RefSeq All – all curated and predicted annotations provided by \
RefSeq.
\
\
RefSeq Curated – subset of RefSeq All that includes only those \
transcripts whose accessions begin with NM, NR, NP or YP. (NP and YP are used only for\
protein-coding genes on the mitochondrion; YP is used for human only.)
\
These were manually curated by the NCBI RefSeq group, based on publications\
describing transcripts and manual reviews of evidence which includes EST\
and full-length cDNA alignments, protein sequences, splice sites and any\
other evidence available in databases or the scientific literature. The\
resulting sequences can differ from the genome, they exist independently \
from a particular human genome build, and so must be aligned to the genome to create a track.\
The "RefSeq Curated" track is NCBI's mapping of curated transcripts to the genome.\
For transcripts where researchers are interested in an alternative\
alignment, the "UCSC RefSeq" track can be used, it shows a BLAT alignment of curated\
RefSeq transcripts (see "UCSC RefSeq" below and also the \
FAQ).\
\
RefSeq Predicted – subset of RefSeq All that includes those annotations whose \
accessions begin with XM or XR. They were predicted based on protein, cDNA, EST\
and RNA-seq alignments to the genome assembly by the NCBI Gnomon prediction software.
\
\
RefSeq Other – all other annotations produced by the RefSeq group that \
do not fit the requirements for inclusion in the RefSeq Curated or the \
RefSeq Predicted tracks. Examples are untranscribed pseudogenes or gene clusters, such as HOX or protocadherin alpha. They were manually curated from \
publications or databases but are not typical transcribed genes.
\
\
RefSeq Alignments – alignments of RefSeq RNAs to the human genome provided\
by the RefSeq group, following the display conventions for\
PSL tracks.
\
\
RefSeq Diffs – alignment differences between the human reference genome(s) \
and RefSeq transcripts. (Track not currently available for every assembly.)\
\
\
UCSC RefSeq – annotations generated from UCSC's realignment of RNAs with NM \
and NR accessions to the human genome. This track was previously known as the "RefSeq \
Genes" track. Because this track shows all possible top-scoring\
alignments, it can contain duplicated transcripts. See our FAQ for details.
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RefSeq Select – Subset of RefSeq Curated, transcripts marked as \
part of the RefSeq Select dataset. \
A single Select transcript is chosen as representative for each protein-coding gene. \
See NCBI RefSeq Select. \
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RefSeq HGMD (subset) – Subset of RefSeq Curated, transcripts annotated by the Human\
Gene Mutation Database. This track is only available on the human genomes hg19 and hg38.\
It is the most restricted RefSeq subset, targeting clinical diagnostics.\
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The RefSeq All, RefSeq Curated, RefSeq Predicted, RefSeq HGMD,\
RefSeq Select and UCSC RefSeq tracks follow the display conventions for\
gene prediction tracks.\
The color shading indicates the level of review the RefSeq record has undergone:\
predicted (light), provisional (medium), or reviewed (dark), as defined by RefSeq.
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Color
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Level of review
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Reviewed: the RefSeq record has been reviewed by NCBI staff or by a collaborator. The NCBI review process includes assessing available sequence data and the literature. Some RefSeq records may incorporate expanded sequence and annotation information.
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Provisional: the RefSeq record has not yet been subject to individual review. The initial sequence-to-gene association has been established by outside collaborators or NCBI staff.
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Predicted: the RefSeq record has not yet been subject to individual review, and some aspect of the RefSeq record is predicted.
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The item labels and codon display properties for features within this track can be configured \
through the check-box controls at the top of the track description page. To adjust the settings \
for an individual subtrack, click the wrench icon next to the track name in the subtrack list .
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Label: By default, items are labeled by gene name. Click the appropriate Label \
option to display the accession name or OMIM identifier instead of the gene name, show all or a \
subset of these labels including the gene name, OMIM identifier and accession names, or turn off \
the label completely.
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Codon coloring: This track has an optional codon coloring feature that \
allows users to quickly validate and compare gene predictions. To display codon colors, select the\
genomic codons option from the Color track by codons pull-down menu. For more \
information about this feature, go to the Coloring Gene Predictions and Annotations by Codon page.
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The RefSeq Diffs track contains five different types of inconsistency between the\
reference genome sequence and the RefSeq transcript sequences. The five types of differences are\
as follows:\
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mismatch – aligned but mismatching bases, plus HGVS g. \
to show the genomic change required to match the transcript and HGVS c./n. \
to show the transcript change required to match the genome.
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short gap – genomic gaps that are too small to be introns (arbitrary cutoff of\
\ < 45 bp), most likely insertions/deletion variants or errors, with HGVS g. and c./n. \
\ showing differences.
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shift gap – shortGap items whose placement could be shifted left and/or right on\
\ the genome due to repetitive sequence, with HGVS c./n. position range of ambiguous region \
\ in transcript. Here, thin and thick lines are used -- the thin line shows the span of the\
\ repetitive sequence, and the thick line shows the rightmost shifted gap.\
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double gap – genomic gaps that are long enough to be introns but that skip over \
\ transcript sequence (invisible in default setting), with HGVS c./n. deletion.
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skipped – sequence at the beginning or end of a transcript that is not aligned to\
the genome\
(invisible in default setting), with HGVS c./n. deletion
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HGVS Terminology (Human Genome Variation Society):\
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g. = genomic sequence ; c. = coding DNA sequence ; n. = non-coding RNA reference sequence.\
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When reporting HGVS with RefSeq sequences, to make sure that results from\
research articles can be mapped to the genome unambiguously, \
please specify the RefSeq annotation release displayed on the transcript's\
Genome Browser details page and also the RefSeq transcript ID with version\
(e.g. NM_012309.4 not NM_012309). \
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Methods
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Tracks contained in the RefSeq annotation and RefSeq RNA alignment tracks were created at UCSC using \
data from the NCBI RefSeq project. Data files were downloaded from RefSeq in GFF file format and \
converted to the genePred and PSL table formats for display in the Genome Browser. Information about\
the NCBI annotation pipeline can be found \
here.
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The RefSeq Diffs track is generated by UCSC using NCBI's RefSeq RNA alignments.
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The UCSC RefSeq Genes track is constructed using the same methods as previous RefSeq Genes tracks.\
RefSeq RNAs were aligned against the human genome using BLAT. Those with an alignment of\
less than 15% were discarded. When a single RNA aligned in multiple places, the alignment\
having the highest base identity was identified. Only alignments having a base identity\
level within 0.1% of the best and at least 96% base identity with the genomic sequence were\
kept.
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Data Access
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The raw data for these tracks can be accessed in multiple ways. It can be explored interactively \
using the REST API,\
Table Browser or\
using the Table Browser or \
Data Integrator. The tables can also be accessed programmatically through our\
public MySQL server or downloaded from our\
downloads server for local processing. The previous track versions are available\
in the archives of our downloads server. You can also access any RefSeq table\
entries in JSON format through our \
JSON API.
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The data in the RefSeq Other and RefSeq Diffs tracks are organized in \
bigBed file format; more\
information about accessing the information in this bigBed file can be found\
below. The other subtracks are associated with database tables as follows:
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The first column of each of these tables is "bin". This column is designed\
to speed up access for display in the Genome Browser, but can be safely ignored in downstream\
analysis. You can read more about the bin indexing system\
here.
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The annotations in the RefSeqOther and RefSeqDiffs tracks are stored in bigBed \
files, which can be obtained from our downloads server here,\
ncbiRefSeqOther.bb and \
ncbiRefSeqDiffs.bb.\
Individual regions or the whole set of genome-wide annotations can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system from the utilities directory linked below. For example, to extract only\
annotations in a given region, you could use the following command:
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You can download a GTF format version of the RefSeq All table from the \
GTF downloads directory.\
The genePred format tracks can also be converted to GTF format using the\
genePredToGtf utility, available from the\
utilities directory on the UCSC downloads \
server. The utility can be run from the command line like so:
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Note that using genePredToGtf in this manner accesses our public MySQL server, and you therefore \
must set up your hg.conf as described on the MySQL page linked near the beginning of the Data Access\
section.
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A file containing the RNA sequences in FASTA format for all items in the RefSeq All, RefSeq Curated, \
and RefSeq Predicted tracks can be found on our downloads server\
here.
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NumtS (Nuclear mitochondrial sequences) are mitochondrial fragments inserted in nuclear genomic sequences. The most credited hypothesis concerning their generation suggests that in presence of mutagenic agents or under stress conditions fragments of mtDNA escape from mitochondria, reach the nucleus and insert into chromosomes during break repair, although NumtS can derive from duplication of genomic fragments. NumtS may be cause of contamination during human mtDNA sequencing and hence frequent false low heteroplasmic evidences have been reported.\
The Bioinformatics group chaired by M.Attimonelli (Bari, Italy) has produced the RHNumtS compilation annotating more than 500 Human NumtS. To allow the scientific community to access to the compilation and to perform genomics comparative analyses inclusive of the NumtS data, the group has designed the Human NumtS tracks below described.\
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The NumtS tracks show the High Score Pairs (HSPs) obtained by aligning the mitochondrial reference genome (NC_012920) with the hg18 release of the human genome.\
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"NumtS (Nuclear mitochondrial Sequences)" Track\
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The "NumtS mitochondrial sequences" track shows the mapping of the HSPs returned by BlastN on the nuclear genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the mitochondrial mapping is provided, thus allowing a fast cross among the NumtS genomic contexts.\
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"NumtS assembled" Track\
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The "NumtS assembled" track shows items obtained by assembling HSPs annotated in the "NumtS" track fulfilling the following conditions:\
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the orientation of their alignments must be concordant.
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the distance between them must be less than 2 kb, on the mitochondrial genome as well as on the nuclear genome.
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Exceptions for the second condition arise when a long repetitive element is present between two HSPs.\
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"NumtS on mitochondrion" Track\
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The "NumtS on mitochondrion" track shows the mapping of the HSPs on the mitochondrial genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the nuclear mapping is provided.\
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"NumtS on mitochondrion with chromosome placement" Track\
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The "NumtS on mitochondrion with chromosome placement" shows the mapping of the HSPs on the mitochondrial genome, but the items are coloured according to the colours assigned to each human chromosome on the UCSC genome browser. No shading is here provided. For every item, a link pointing to the nuclear mapping is provided.\
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Methods
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NumtS mappings were obtained by running Blast2seq (program: BlastN) between each chromosome of of the Human Genome hg18 build and the human mitochondrial reference sequence (rCRS, AC: NC_012920), fixing the e-value threshold to 1e-03. The assembling of the HSPs was performed with spreadsheet interpolation and manual inspection.\
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Verification
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NumtS predicted in silico were validated by carrying out PCR amplification and sequencing on blood-extracted DNA of a healthy individual of European origin. PCR amplification was successful for 275 NumtS and provided amplicons of the expected length. All PCR fragments were sequenced on both strands, and submitted to the EMBL databank.\
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Furthermore, 541 NumtS were validated by merging NumtS nuclear coordinates with HapMap annotations. Our analysis has been carried on eight HapMap individuals (NA18517, NA18507, NA18956, NA19240, NA18555, NA12878, NA19129, NA12156). For each sample, clones with a single best concordant placement (according to the fosmid end-sequence-pair analysis described in Kidd et al., 2008), have been considered. The analysis showed that 541 NumtS (at least 30bp for each one) had been sequenced in such samples.\
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Credits
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These data were provided by Domenico Simone and Marcella Attimonelli at Department of Biochemistry and Molecular Biology "Ernesto Quagliariello" (University of Bari, Italy). Primer designing was carried out by Francesco Calabrese and Giuseppe Mineccia. PCR validation was carried out by Martin Lang, Domenico Simone and Giuseppe Gasparre. Merging with HapMap annotations has been performed by Domenico Simone.\
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This track represents the ReMap Atlas of regulatory regions, which consists of a\
large-scale integrative analysis of all Public ChIP-seq data for transcriptional\
regulators from GEO, ArrayExpress, and ENCODE. \
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Below is a schematic diagram of the types of regulatory regions: \
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ReMap 2022 Atlas (all peaks for each analyzed data set)
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ReMap 2022 Non-redundant peaks (merged similar target)
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ReMap 2022 Cis Regulatory Modules
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Display Conventions and Configuration
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Each transcription factor follows a specific RGB color.\
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ChIP-seq peak summits are represented by vertical bars.\
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Hsap: A data set is defined as a ChIP/Exo-seq experiment in a given\
GEO/ArrayExpress/ENCODE series (e.g. GSE41561), for a given TF (e.g. ESR1), in\
a particular biological condition (e.g. MCF-7).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE41561.ESR1.MCF-7).\
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Atha: The data set is defined as a ChIP-seq experiment in a given series\
(e.g. GSE94486), for a given target (e.g. ARR1), in a particular biological\
condition (i.e. ecotype, tissue type, experimental conditions; e.g.\
Col-0_seedling_3d-6BA-4h).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE94486.ARR1.Col-0_seedling_3d-6BA-4h).\
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Methods
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This 4th release of ReMap (2022) presents the analysis of a total of 8,103 \
quality controlled ChIP-seq (n=7,895) and ChIP-exo (n=208) data sets from public\
sources (GEO, ArrayExpress, ENCODE). The ChIP-seq/exo data sets have been mapped\
to the GRCh38/hg38 human assembly. The data set is defined as a ChIP-seq \
experiment in a given series (e.g. GSE46237), for a given TF (e.g. NR2C2), in a\
particular biological condition (i.e. cell line, tissue type, disease state, or\
experimental conditions; e.g. HELA). Data sets were labeled by concatenating\
these three pieces of information, such as GSE46237.NR2C2.HELA. \ \
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Those merged analyses cover a total of 1,211 DNA-binding proteins\
(transcriptional regulators) such as a variety of transcription factors (TFs),\
transcription co-activators (TCFs), and chromatin-remodeling factors (CRFs) for\
182 million peaks. \
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GEO & ArrayExpress
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Public ChIP-seq data sets were extracted from Gene Expression Omnibus (GEO) and\
ArrayExpress (AE) databases. For GEO, the query\
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'('chip seq' OR 'chipseq' OR\
'chip sequencing') AND 'Genome binding/occupancy profiling by high throughput\
sequencing' AND 'homo sapiens'[organism] AND NOT 'ENCODE'[project]'\
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was used to return a list of all potential data sets to analyze, which were then manually \
assessed for further analyses. Data sets involving polymerases (i.e. Pol2 and\
Pol3), and some mutated or fused TFs (e.g. KAP1 N/C terminal mutation, GSE27929)\
were excluded.\
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ENCODE
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Available ENCODE ChIP-seq data sets for transcriptional regulators from the\
ENCODE portal were processed with the\
standardized ReMap pipeline. The list of ENCODE data was retrieved as FASTQ files from the\
ENCODE portal\
using the following filters:\
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Assay: "ChIP-seq"
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Organism: "Homo sapiens"
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Target of assay: "transcription factor"
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Available data: "fastq" on 2016 June 21st
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Metadata information in JSON format and FASTQ files\
were retrieved using the Python requests module.\
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ChIP-seq processing
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Both Public and ENCODE data were processed similarly. Bowtie 2 (PMC3322381) (version 2.2.9) with options -end-to-end -sensitive was used to align all\
reads on the genome. Biological and technical\
replicates for each unique combination of GSE/TF/Cell type or Biological condition\
were used for peak calling. TFBS were identified using MACS2 peak-calling tool\
(PMC3120977) (version 2.1.1.2) in order to follow ENCODE ChIP-seq guidelines,\
with stringent thresholds (MACS2 default thresholds, p-value: 1e-5). An input data\
set was used when available.\
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Quality assessment
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To assess the quality of public data sets, a score was computed based on the\
cross-correlation and the FRiP (fraction of reads in peaks) metrics developed by\
the ENCODE Consortium (https://genome.ucsc.edu/ENCODE/qualityMetrics.html). Two\
thresholds were defined for each of the two cross-correlation ratios (NSC,\
normalized strand coefficient: 1.05 and 1.10; RSC, relative strand coefficient:\
0.8 and 1.0). Detailed descriptions of the ENCODE quality coefficients can be\
found at https://genome.ucsc.edu/ENCODE/qualityMetrics.html. The\
phantompeak tools suite was used\
(https://code.google.com/p/phantompeakqualtools/) to compute\
RSC and NSC.\
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Please refer to the ReMap 2022, 2020, and 2018 publications for more details\
(citation below).\
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Data Access
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ReMap Atlas of regulatory regions data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
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Individual BED files for specific TFs, cells/biotypes, or data sets can be\
found and downloaded on the ReMap website.\
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regulation 1 bigDataUrl /gbdb/hg19/reMap/reMap2022.bb\
denseCoverage 100\
filterLabel.Biotypes Biotypes (cell lines, tissues...)\
filterLabel.TF Transcriptional regulators\
filterText.Biotypes *\
filterText.TF *\
filterType.Biotypes multipleListOnlyOr\
filterType.TF multipleListOnlyOr\
filterValues.Biotypes 12Z,143B,226LDM,22Rv1,402-91,501-mel,697,786-M1A,786-O,81-3,A-137,A139,A-1847,A1A3,A2780,A2780cis,A-375,A-498,A-549,A-673,A-673-clone-Asp114,AB32,AB-LCL,AC16,adipocyte,adrenal-gland,adult-duodenal-cell,AF22,aggregated-lymphoid-nodules,AGS,ALL,ALL-SIL,AMIPS6,AMIPS8,AML,AMLPZ12,anterior-temporal-cortex,aorta,aortic-endothelial-cell,aortic-smooth-muscle-cell,arterial-endothelial-cells,artery,ASC,ascending-aorta,Aska-SS,AsPC-1,astrocyte,BA10,BA40,BC-3,BCBL-1,B-cell,BCP-ALL,BCR-ABL1,BDMC,BE2C,BEAS-2B,BG01V,BG03,BH-LCLs,BICR,BIN-67,BJ,BJ1-hTERT,BJAB,BL41,BLM,blood,BLUE1,bonchial,BPE,BPLER,brain-prefrontal-cortex,breast,breast-cancer,breast-organoid,BT-16,BT-20,BT-474,BT-549,BxPC-3,CA46,Caco-2,CAL-1,Calu-1,Calu-3,cardiac,cardiac-muscle,cardiomyocyte,cartilage,CaSki,CC-LP-1,CCLP1,ccRCC,CCRF-CEM,CD14,CD34,CD34-pos,CD4,CD4-pos,CD8,CFPAC-1,CHL-1,chondrosarcoma,choroid-plexus,CHP-134,CHRF28811,CLB-Ga,CLL,COG-N-415,COLO-205,COLO-320,COLO-741,COLO-800,COLO-829,colon,colorectal-cancer,coronary-artery,cortical-interneuron,CRL-7250,CTV-1,CUTLL1,D283-Med,D341-Med,D54,DAOY,DC,delta-47,dendrite,dermal,dermal-fibroblast,Detroit-562,DKO,DLBCL,DLD-1,DND41,DOHH2,dopaminergic-neuron,DU145,DU528,DUCAP,EDOMIPS2,EM-3,embryonic-kidney,EndoC-betaH2,endoderm,endometrial-epithelial-cells,endometrial-stromal-cell,endometrioid-adenocarcinoma,endometrium,endothelial,EP156T,epididymis,epithelial,erythroblast,erythroid,erythroid-progenitor,ESF,ESO-26,esophagus,esophagus-muscularis-mucosa,esophagus-squamous-epithelium,FaDu,fetal,fibroblast,FLP143HA,FLP76,foregut,foreskin,FT282,G296S,G-401,G523NS,gastric-epithelial-cell,gastrocnemius-medialis,gastroesophageal-sphincter,GBM1A,GEN2-2,GIC,GIST,GIST48,GIST882,GIST-T1,glioblastoma,glioma,GM00011,GM01310,GM04025,GM04604,GM04648,GM06077,GM06170,GM06990,GM08714,GM09236,GM09237,GM10248,GM10266,GM10847,GM12801,GM12864,GM12865,GM12866,GM12867,GM12868,GM12869,GM12870,GM12871,GM12872,GM12873,GM12874,GM12875,GM12878,GM12891,GM12892,GM13976,GM13977,GM15510,GM15850,GM17942,GM18505,GM18526,GM18951,GM19099,GM19193,GM20000,GM23248,GM23338,GP5D,GRANT-A519,GSC,GSC23,GSC8-11,H-1,H69,H9,HaCaT,HAEC,HAP1,HASMC,HBE,HBTEC,HCAEC,HCASMC,HCC1143,HCC1187,HCC1395,HCC1428,HCC1599,HCC1806,HCC1937,HCC1954,HCC2157,HCC2814,HCC70,HCC95,HCCLM3,HCT-116,HCT-15,HDF,heart,HEC-1-A,HEC-1-B,HEE,HEK,HEK293,HEK293-FT,HEK293T,HEL,HeLa,HeLa-B2,HeLa-Kyoto,HeLa-S3,HeLa-Tet-On,HEP,HEP10-01008-LCLs,HEP14-00120-LCLs,HEP14-0079-LCLs,HEP14-0080-LCLs,Hep-3B2-1-7,HepaRG,hepatocellular-carcinoma-cell,hepatocyte,Hep-G2,hESC,hESC-1,HEY-A8,HFF,HFOB,HGrC1,HIES,hiF-T,hippocampus,hiPSC,HKC,HL-60,hMADS,HMEC-1,HMELBRAF,HMLE,HMLER,HMLE-Twist-ER,HMS001,hMSC,hMSC-TERT,hMSC-TERT4,HNPC,HNSC,HPBALL,Hs-352-Sk,HS578T,HSPC,HSPC-CD34,HSPC-CD34pos,HS-SY-2,HT-1080,HT29,hTERT-HME1,HUCCT1,HUDEP-2,HUES-64,HUES-8,HUG1N,Huh-7,HUVEC-C,ID00014,ID00015,ID00016,IM95,IMEC,IMR-5,IMR-90,IMS-M2,induced-endothelial-cell,intestinal-cell,Ishikawa,islet,JD-LCLs,JHU-029,J-Lat,JL-LCLs,JMSU-1,Jurkat,K-562,Karpas-299,Karpas-422,KARPAS422,Karpas-45,Kasumi-1,KATO-III,KB,Kelly,keratinocyte,KerCT,KG-1,KGN,kidney,kidney-cortex,KK-1,KMS-11,KNS-62,KOPN-8,KOPT-K1,KYSE-150,KYSE-70,L1236,L826,LA-N-5,LA-N-6,LAPC-4,LBCL,LCL,LCLGM10861,leiomyoma,leukemia,LHSAR,liver,LK2,LNAR,LNCaP,LNCaP-95,LNCaP-abl,LNCaP-C4-2,LNCaP-C4-2B,LNCaP-clone-FGC,LNCaP-FGC,Loucy,LoVo,LOX-IMVI,LP1,LPS141,LREX,LS174T,LS180,LTAD,Lu-130,lung,LX2,lymphoblast,lymphocyte,macrophage,MALME-3,mammary-epithelial-cell,MCF-10A,MCF10A-Er-Src,MCF-10AT1,MCF-10CA1a,MCF-7,MCF-7L,MCF-7-Luc,MCF-7-Luc-Y537S,MCF-7-TAMR-1,MCF7-Tet-On,MCF-7-WS8,MDA-BoM-1833,MDA-MB-134-VI,MDA-MB-157,MDA-MB-231,MDA-MB-361,MDA-MB-435,MDA-MB-436,MDA-MB-453,MDA-MB-468,MDA-Pca-2b,MDM,ME-1,medulloblastoma,Mel270,melanocyte,mesenchymal,metastatic-neuroblastoma,MG-63-3,MIA-PaCa-2,MKN28,MKN74,ML-2,MM1-S,MNNG-HOS,MO91,MOLM-13,MOLM-14,MOLT-3,MOLT-4,monocyte,MPNST,MRC-5,MSTO,Mutu-1,MUTUL,MV4-11,MV4-11-B,MYCN-3,myoblast,myofibroblast,myometrium,myotube,NALM-6,Namalwa,NB-1643,NB4,NB69,NCCIT,NCI-H1048,NCI-H128,NCI-H1299,NCI-H1703,NCI-H1819,NCI-H1963,NCI-H1975,NCI-H2087,NCI-H2107,NCI-H2171,NCI-H23,NCI-H295R,NCI-H3122,NCI-H3396,NCI-H358,NCI-H441,NCI-H460,NCI-H520,NCI-H524,NCI-H526,NCI-H82,NCI-H838,NCI-H889,NCI-H929,nerve,neural,neural-progenitor,neuroblastoma,neuroepithelilal-cells,neuron,neuron-progenitor,neutrophil,NGP,NHEK,NMC24335,NOMO1,NPC,NSC,NT2-D1,NTERA2,NUT,NY15,OACP4-C,OCI-AML-3,OCI-AML3,OCI-Ly1,OCI-Ly10,OCI-Ly19,OCI-Ly3,OCI-Ly7,ocular-melanoma-cell,OE33,omental-fat-pad,OSK,OSKM,osteoblast,OSvK,OSvKM,ovary,OVCA429,OVCAR-3,OVCAR-5,OVCAR-8,OVSAHO,P12,P493-6,PANC-1,pancreas,pancreatic-progenitor,PATU8988,PAVE,PBMC,PC-3,PC-9,PDAC,PEO1,PER-117,peripheral-blood-mononuclear-cell,peripheral-blood-neutrophil,Peyers-patch,PF-382,Pfeiffer,PFSK1,PK-LCLs,placenta,plasmablast,pleural-effusion,pre-B-cell,PrEC,PRIMA2,PRIMA5,primary-B-cell,primary-breast-cancer,primary-bronchial-epithelial,primary-chondrocyte,primary-dermal-fibroblasts,primary-endometrial-stromal-cell,primary-endometrium-cancer,primary-epidermal-keratinocyte,primary-glioblastoma,primary-keratinocyte,primary-lung-fibroblast,primary-monocyte,primary-neutrophil,primary-prostate-cancer,primary-prostate-epithelial-cell,primordial-germ-cell-like-cell,ProEs,proliferating-human-fibroblast,prostate,prostate-cancer,pulmonary-artery,Raji,Ramos,RCC10,RCC4,RCH-ACV,RD,REC-1,Reh,RENVM,retina,Rh18,RH3,RH30,RH4,Rh41,RH5,rhabdomyosarcoma,RKO,RL,RMG-I,RPE,RPMI8402,RS4-11,RWPE-1,RWPE-2,SaOS-2,SCC,SCC-25,SCC-9,SCCOHT-1,SCLC,SCMC,SEM,SET-2,SF8628,SGBS,SH-EP,SHEP-21N,SHI-1,SH-SY5Y,sigmoid-colon,SiHa,SJSA-1,SK-BR-3,SKH1,skin,SKM-1,SK-MEL-147,SK-MEL-239,SK-MEL-28,SK-MEL-5,SK-N-AS,SK-N-BE2,SK-N-BE2-C,SK-N-MC,SKNO-1,SK-N-SH,SK-UT-1,SLK,SMMC-7721,smooth-muscle-cell,SMS-CTR,SMS-KCN,SMS-KCNR,SNU-216,SNU-398,SP-49,spleen,ST-1,stomach,subcutaneous-adipose-tissue,SU-DHL-10,SU-DHL-2,SU-DHL-4,SU-DHL-5,SU-DHL-6,SUIT-2,SUM1315,SUM149,SUM149PT,SUM159,SUM159PT,SUM185,SUM229PE,SUM44PE,SUP-B15,SVOG-3e,SW1353,SW1783,SW1990,SW480,SW620,SYO-1,T-47D,T-47D-A,T47D-A1-2,T-47D-B,T-47D-MTVL,T778,T98G,TALL-1,TC-32,TC-71,T-cell,TE-5,testis,TF1,Th1,Th17,T-HESCs,thoracic-aorta,THP-1,THP-6,thymocyte,thymus,thyroid-cancer,thyroid-gland,tibial-artery,tibial-nerve,TMD8,tonsil,TOV-21G,T-REx-293,TSU-1621MT,TT,TTC-1240,TTC-549,U266,U266B1,U2932,U2OS,U-87MG,U-937,UACC-257,UACC-62,UAE,UCLA1-hESCs,UCSD-AML1,UM-RC-6,UO-31,UPCI-SCC-090,UTEIPS11,UTEIPS4,UTEIPS6,UTEIPS7,uterus,vagina,VCaP,VCaP-LTAD,VU-SCC-147,WA01,WA09,WERI-Rb-1,WHIM12,WI-38,WI-38VA13,WIBR3,WN8532,WPMY-1,WSU-DLCL2,YCC-3,ZR-75-1,ZR751\
filterValues.TF AATF,ADNP,AEBP2,AFF1,AFF4,AGO1,AHR,AHRR,APC,AR,ARHGAP35,ARID1A,ARID1B,ARID2,ARID3A,ARID3B,ARID4A,ARID4B,ARID5B,ARNT,ARNTL,ARRB1,ASCL1,ASH1L,ASH2L,ASXL1,ASXL3,ATF1,ATF2,ATF3,ATF4,ATF7,ATM,ATOH8,ATRX,ATXN7L3,BACH1,BACH2,BAF155,BAHD1,BAP1,BATF,BATF3,BCL11A,BCL11B,BCL3,BCL6,BCL6B,BCLAF1,BCOR,BDP1,BHLHE22,BHLHE40,BICRA,BMI1,BMPR1A,BNC2,BPTF,BRCA1,BRD1,BRD2,BRD3,BRD4,BRD7,BRD9,BRF1,BRF2,C17orf49,CARM1,CASZ1,CBFA2T2,CBFA2T3,CBFB,CBX1,CBX2,CBX3,CBX4,CBX5,CBX7,CBX8,CC2D1A,CCAR2,CCNT2,CD74,CDC5L,CDK2,CDK6,CDK7,CDK8,CDK9,CDK9-HEXIM1,CDKN1B,CDX2,CEBPA,CEBPB,CEBPD,CEBPG,CEBPZ,CERS6,CHAF1B,CHAMP1,CHD1,CHD2,CHD4,CHD7,CHD8,CIITA,CLOCK,COBLL1,CREB1,CREB3,CREB3L1,CREB5,CREBBP,CREM,CRX,CRY1,CRY2,CSDC2,CSNK2A1,CTBP1,CTBP2,CTCF,CTCFL,CTNNB1,CUX1,CXXC4,CXXC5,DACH1,DAXX,DDX20,DDX21,DDX5,DEAF1,DEK,DIDO1,DLX4,DLX6,DMAP1,DNMT1,DNMT3B,DPF1,DPF2,DR1,DRAP1,DUX4,E2F1,E2F3,E2F4,E2F5,E2F6,E2F7,E2F8,E4F1,EBF1,EBF3,EED,EGR1,EHF,EHMT2,ELF1,ELF2,ELF3,ELF4,ELF5,ELK1,ELK4,ELL,ELL2,EOMES,EP300,EP400,EPAS1,ERF,ERG,ESR1,ESR2,ESRRA,ESRRB,ESRRG,ETS1,ETS2,ETV1,ETV2,ETV4,ETV6,EVI1,EWSR1,EZH1,EZH2,FANCD2,FANCL,FEZF1,FIP1L1,FLI1,FOS,FOSB,FOSL1,FOSL2,FOXA1,FOXA2,FOXF1,FOXF2,FOXJ2,FOXJ3,FOXK1,FOXK2,FOXL2,FOXM1,FOXO1,FOXO1-PAX3,FOXO3,FOXP1,FOXP2,FOXP4,FOXS1,FUS,GABPA,GABPB1,GATA1,GATA2,GATA3,GATA4,GATA6,GATAD1,GATAD2A,GATAD2B,GFI1,GFI1B,GLI1,GLI2,GLI4,GLIS1,GLIS2,GLIS3,GLYR1,GMEB1,GMEB2,GPS2,GR,GRHL1,GRHL2,GSPT2,GTF2A2,GTF2B,GTF2F1,GTF3A,GTF3C2,GTF3C5,HAND2,HBP1,HCFC1,HCFC1R1,HDAC1,HDAC2,HDAC3,HDAC6,HDAC8,HDGF,HES1,HEXIM1,HEXIM1-CDK9,HEY1,HEY2,HHEX,HIC1,HIF1A,HIF3A,HINFP,HIVEP1,HKR1,HLF,HMBOX1,HMGA1,HMGB1,HMGB2,HMGN3,HMGXB4,HNF1A,HNF1B,HNF4A,HNF4G,HNRNPC,HNRNPH1,HNRNPK,HNRNPL,HNRNPLL,HNRNPUL1,HOMEZ,HOXA3,HOXA7,HOXA9,HOXB13,HOXB5,HOXB7,HOXB8,HOXC5,HOXC6,HSF1,HSF2,ICE1,ICE2,ID3,IFNA1,IKZF1,IKZF2,IKZF3,ILF3,ILK,INO80,INSM2,INTS11,INTS13,IRF1,IRF2,IRF2BP2,IRF3,IRF4,IRF5,IRF8,IRF9,ISL1,ISL2,JARID2,JDP2,JMJD1C,JMJD6,JUN,JUNB,JUND,KAT2A,KAT2B,KAT7,KAT8,KDM1A,KDM3A,KDM4A,KDM4B,KDM4C,KDM5A,KDM5B,KDM6B,KLF1,KLF10,KLF12,KLF13,KLF14,KLF15,KLF16,KLF17,KLF3,KLF4,KLF5,KLF6,KLF7,KLF8,KLF9,KMT2A,KMT2B,KMT2C,KMT2D,L3MBTL2,L3MBTL4,LCORL,LDB1,LEF1,LHX2,LIN54,LIN9,LMO1,LMO2,LYL1,MAF,MAF1,MAFB,MAFF,MAFG,MAFK,MAML1,MAML3,MAX,MAZ,MBD1,MBD2,MBD3,MBD4,MCM2,MCM3,MCM5,MCM7,MCRS1,MECOM,MECP2,MED,MED1,MED12,MED25,MED26,MEF2A,MEF2B,MEF2C,MEF2D,MEIS1,MEIS2,MEN1,MGA,MIER1,MITF,MLL4,MLLT1,MLLT3,MLX,MLXIP,MNT,MNX1,MORC2,MPHOSPH8,MRTFA,MRTFB,MSX2,MTA1,MTA2,MTA3,MTF2,MXD4,MXI1,MYB,MYBL2,MYC,MYC-DAXX,MYCN,MYF5,MYNN,MYOCD,MYOD1,MYOG,MZF1,NAB2,NANOG,NBN,NCAPH2,NCBP1,NCOA1,NCOA2,NCOA3,NCOA4,NCOA6,NCOR1,NCOR2,NELFA,NELFCD,NELFE,NEUROD1,NEUROG2,NFAT5,NFATC1,NFATC2,NFATC3,NFE2,NFE2L1,NFE2L2,NFIA,NFIB,NFIC,NFIL3,NFIX,NFKB1,NFKB2,NFKBIA,NFKBIZ,NFRKB,NFXL1,NFYA,NFYB,NFYC,NIPBL,NKX2-1,NKX2-5,NKX3-1,NME2,NONO,NOTCH1,NOTCH3,NR0B1,NR1H2,NR1H3,NR2C1,NR2C2,NR2F1,NR2F2,NR2F6,NR3C1,NR4A1,NR5A1,NR5A2,NRF1,NRIP1,NRL,NSD2,NUFIP1,NUP98-HOXA9,NUTM1,OGG1,OGT,OLIG2,ONECUT1,ONECUT2,OSR2,OTX2,OVOL1,OVOL3,PAF1,PALB2,PARP1,PATZ1,PAX3-FOXO1,PAX5,PAX6,PAX7,PAX8,PAXIP1,PBX1,PBX1-2-3,PBX2,PBX3,PCBP1,PCBP2,PCGF1,PCGF2,PDX1,PGR,PHB2,PHC1,PHF19,PHF20,PHF21A,PHF5A,PHF8,PHIP,PHOX2B,PITX3,PKNOX1,PLAG1,PLRG1,PML,POU2AF1,POU2F1,POU2F2,POU2F3,POU3F1,POU3F2,POU4F2,POU5F1,PPARA,PPARG,PPARGC1A,PRDM1,PRDM10,PRDM12,PRDM14,PRDM15,PRDM2,PRDM4,PRDM6,PREB,PRKDC,PRMT5,PROX1,PRPF4,PSIP1,PTBP1,PTRF,PTTG1,PYGO2,RAD21,RAD51,RARA,RB1,RBAK,RBBP4,RBBP5,RBFOX2,RBM14,RBM15,RBM22,RBM25,RBM34,RBM39,RBP2,RBPJ,RCOR1,REL,RELA,RELB,REPIN1,REST,RFX1,RFX2,RFX3,RFX5,RFXAP,RING1,RLF,RNF2,RORB,RORC,RPA2,RREB1,RUNX1,RUNX1-3,RUNX1-RUNX1T1,RUNX1T1,RUNX2,RUVBL1,RUVBL2,RXR,RXRA,RYBP,SAFB,SAFB2,SALL1,SALL2,SALL3,SALL4,SAP30,SATB1,SCRT1,SETDB1,SETX,SFMBT1,SFPQ,SGF29,SHOX2,SIN3A,SIN3B,SIRT3,SIRT6,SIX1,SIX2,SIX4,SIX5,SKI,SKIL,SMAD1,SMAD1-5,SMAD1-5-8,SMAD2,SMAD2-3,SMAD3,SMAD3-EPAS1,SMAD3-HIF1A,SMAD4,SMAD5,SMARCA2,SMARCA4,SMARCA5,SMARCB1,SMARCC1,SMARCC2,SMARCD3,SMARCE1,SMC1,SMC1A,SMC1A-B,SMC3,SMC4,SNAI1,SNAI2,SNAPC1,SNAPC4,SND1,SNIP1,SNRNP70,SOX10,SOX11,SOX13,SOX2,SOX21,SOX3,SOX4,SOX6,SOX8,SOX9,SP1,SP140L,SP2,SP3,SP4,SP5,SP7,SPDEF,SPI1,SPIB,SPIN1,SRC,SREBF1,SREBF2,SREBP2,SRF,SRSF1,SRSF3,SRSF4,SRSF7,SRSF9,SS18,SS18-SSX,SSRP1,STAG1,STAG2,STAT1,STAT2,STAT3,STAT5A,STAT5B,SUPT16H,SUPT5H,SUPT6H,SUZ12,SVIL,T,TAF1,TAF15,TAF2,TAF3,TAF7,TAF9B,TAL1,TARDBP,TASOR,TBL1X,TBL1XR1,TBP,TBX18,TBX2,TBX21,TBX3,TBX5,TCF12,TCF21,TCF25,TCF3,TCF3-PBX1,TCF4,TCF7,TCF7L2,TCFL5,TCOF1,TEAD1,TEAD2,TEAD4,TERF1,TERF2,TERT,TET2,TFAP2A,TFAP2C,TFAP4,TFCP2,TFDP1,TFDP2,TFE3,TFEB,TFIIIC,TGIF2,THAP1,THAP11,THRA,THRAP3,THRB,TLE3,TOP1,TOP2A,TOX2,TP53,TP63,TP73,TRIM22,TRIM24,TRIM25,TRIM28,TRIP13,TRPS1,TRRAP,TSC22D4,TSHZ1,TSHZ2,TWIST1,U2AF1,U2AF2,UBN1,UBTF,USF1,USF2,USP7,UTX,VDR,VEZF1,WDHD1,WDR5,WRNIP1,WT1,XBP1,XRCC3,XRCC5,XRN2,YAP1,YBX1,YBX3,YY1,YY1AP1,YY2,ZBED1,ZBED2,ZBED4,ZBTB1,ZBTB10,ZBTB11,ZBTB12,ZBTB14,ZBTB16,ZBTB18,ZBTB2,ZBTB20,ZBTB21,ZBTB24,ZBTB26,ZBTB33,ZBTB40,ZBTB42,ZBTB44,ZBTB48,ZBTB49,ZBTB5,ZBTB6,ZBTB7A,ZBTB7B,ZBTB8A,ZC3H11A,ZC3H8,ZEB1,ZEB2,ZFP14,ZFP28,ZFP3,ZFP36,ZFP37,ZFP41,ZFP42,ZFP57,ZFP64,ZFP69,ZFP69B,ZFP82,ZFP90,ZFP91,ZFX,ZFY,ZGPAT,ZHX1,ZHX2,ZIC2,ZIC5,ZIK1,ZIM3,ZKSCAN1,ZKSCAN2,ZKSCAN3,ZKSCAN5,ZKSCAN8,ZMIZ1,ZMYM2,ZMYM3,ZMYND11,ZMYND8,ZNF10,ZNF101,ZNF112,ZNF114,ZNF12,ZNF121,ZNF124,ZNF132,ZNF133,ZNF134,ZNF135,ZNF136,ZNF138,ZNF140,ZNF141,ZNF142,ZNF143,ZNF146,ZNF148,ZNF154,ZNF155,ZNF157,ZNF16,ZNF165,ZNF169,ZNF17,ZNF174,ZNF175,ZNF18,ZNF180,ZNF182,ZNF184,ZNF189,ZNF19,ZNF195,ZNF197,ZNF2,ZNF202,ZNF205,ZNF207,ZNF211,ZNF212,ZNF213,ZNF214,ZNF215,ZNF217,ZNF22,ZNF221,ZNF222,ZNF223,ZNF224,ZNF225,ZNF23,ZNF232,ZNF239,ZNF24,ZNF248,ZNF25,ZNF250,ZNF253,ZNF256,ZNF257,ZNF26,ZNF260,ZNF263,ZNF264,ZNF266,ZNF267,ZNF273,ZNF274,ZNF276,ZNF28,ZNF280A,ZNF280C,ZNF280D,ZNF281,ZNF282,ZNF283,ZNF284,ZNF285,ZNF287,ZNF292,ZNF3,ZNF30,ZNF300,ZNF302,ZNF304,ZNF311,ZNF316,ZNF317,ZNF318,ZNF319,ZNF320,ZNF322,ZNF324,ZNF329,ZNF331,ZNF333,ZNF335,ZNF337,ZNF33A,ZNF33B,ZNF34,ZNF341,ZNF343,ZNF35,ZNF350,ZNF354A,ZNF354B,ZNF354C,ZNF362,ZNF366,ZNF37A,ZNF383,ZNF384,ZNF391,ZNF394,ZNF395,ZNF397,ZNF398,ZNF404,ZNF407,ZNF408,ZNF41,ZNF410,ZNF416,ZNF417,ZNF418,ZNF423,ZNF425,ZNF426,ZNF429,ZNF430,ZNF431,ZNF432,ZNF433,ZNF436,ZNF44,ZNF440,ZNF441,ZNF444,ZNF445,ZNF449,ZNF454,ZNF460,ZNF462,ZNF467,ZNF468,ZNF473,ZNF479,ZNF48,ZNF480,ZNF483,ZNF484,ZNF485,ZNF487,ZNF488,ZNF490,ZNF491,ZNF492,ZNF493,ZNF496,ZNF501,ZNF502,ZNF503,ZNF506,ZNF507,ZNF510,ZNF512,ZNF512B,ZNF513,ZNF514,ZNF518A,ZNF519,ZNF521,ZNF524,ZNF527,ZNF528,ZNF529,ZNF530,ZNF532,ZNF534,ZNF540,ZNF543,ZNF544,ZNF547,ZNF548,ZNF549,ZNF550,ZNF554,ZNF555,ZNF557,ZNF558,ZNF560,ZNF561,ZNF563,ZNF565,ZNF566,ZNF567,ZNF57,ZNF570,ZNF571,ZNF572,ZNF573,ZNF574,ZNF577,ZNF579,ZNF580,ZNF582,ZNF583,ZNF584,ZNF585A,ZNF585B,ZNF586,ZNF587,ZNF589,ZNF592,ZNF595,ZNF596,ZNF597,ZNF598,ZNF605,ZNF609,ZNF610,ZNF611,ZNF613,ZNF614,ZNF616,ZNF621,ZNF622,ZNF623,ZNF624,ZNF626,ZNF627,ZNF629,ZNF639,ZNF641,ZNF644,ZNF645,ZNF649,ZNF652,ZNF654,ZNF658,ZNF660,ZNF662,ZNF664,ZNF667,ZNF669,ZNF670,ZNF671,ZNF674,ZNF675,ZNF677,ZNF680,ZNF681,ZNF684,ZNF687,ZNF692,ZNF695,ZNF696,ZNF697,ZNF7,ZNF700,ZNF701,ZNF704,ZNF707,ZNF708,ZNF711,ZNF714,ZNF716,ZNF730,ZNF736,ZNF737,ZNF740,ZNF747,ZNF749,ZNF750,ZNF75A,ZNF76,ZNF764,ZNF765,ZNF766,ZNF768,ZNF77,ZNF770,ZNF774,ZNF776,ZNF777,ZNF778,ZNF780A,ZNF781,ZNF783,ZNF784,ZNF785,ZNF786,ZNF789,ZNF79,ZNF791,ZNF792,ZNF799,ZNF8,ZNF800,ZNF808,ZNF81,ZNF816,ZNF823,ZNF83,ZNF830,ZNF837,ZNF84,ZNF843,ZNF846,ZNF85,ZNF860,ZNF879,ZNF880,ZNF883,ZNF891,ZNF90,ZNF92,ZNF93,ZSCAN16,ZSCAN18,ZSCAN2,ZSCAN21,ZSCAN22,ZSCAN23,ZSCAN26,ZSCAN29,ZSCAN30,ZSCAN31,ZSCAN4,ZSCAN5A,ZSCAN5C,ZXDB,ZXDC,ZZZ3\
html ../reMap\
itemRgb on\
labelFields name, TF, Biotypes\
longLabel ReMap Atlas of Regulatory Regions\
maxWindowCoverage 50000\
parent ReMap on\
priority 2\
shortLabel ReMap ChIP-seq\
showCfg on\
track ReMapTFs\
type bigBed 9 +\
urls TF="http://remap.univ-amu.fr/target_page/$$:9606" Biotypes="http://remap.univ-amu.fr/biotype_page/$$:9606"\
visibility squish\
burgeRnaSeqGemMapperAlignHME RNA-seq HME bed 12 Burge Lab RNA-seq 32mer Reads from HME (Human Mammary Epithelial) Cell Line 1 2 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from HME (Human Mammary Epithelial) Cell Line\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq HME\
subGroups view=Alignments tissueType=HME\
track burgeRnaSeqGemMapperAlignHME\
gnomadGenomes5XPercentage Sample % > 5X bigWig 0 1 gnomAD Percentage of Genome Samples with at least 5X Coverage 0 2 225 0 30 240 127 142 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.genomes.coverage.depth5.bw\
color 225,0,30\
longLabel gnomAD Percentage of Genome Samples with at least 5X Coverage\
parent gnomadGenomesReadDepthPct off\
priority 2\
shortLabel Sample % > 5X\
subGroups view=gRDepth\
track gnomadGenomes5XPercentage\
gnomadExomes5XPercentage Sample % > 5X bigWig 0 1 gnomAD Percentage of Exome Samples with at least 5X Coverage 0 2 225 0 30 240 127 142 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.exomes.coverage.depth5.bw\
color 225,0,30\
longLabel gnomAD Percentage of Exome Samples with at least 5X Coverage\
parent gnomadExomesReadDepthPct off\
priority 2\
shortLabel Sample % > 5X\
subGroups view=eRDepth\
track gnomadExomes5XPercentage\
pubsBlat Sequences bed 12 + Sequences in Articles: PubmedCentral and Elsevier 1 2 0 0 0 127 127 127 0 0 0 phenDis 1 configurable off\
configureByPopup off\
longLabel Sequences in Articles: PubmedCentral and Elsevier\
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shortLabel Sequences\
track pubsBlat\
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visibility dense\
decodeSexAveragedCarrier Sex Avg Carry bigWig 0.0 76.046 deCODE recombination map, sex-average carrier 2 2 209 45 51 232 150 153 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 209,45,51\
configurable on\
longLabel deCODE recombination map, sex-average carrier\
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shortLabel Sex Avg Carry\
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track decodeSexAveragedCarrier\
type bigWig 0.0 76.046\
snpediaText SNPedia with text bed 4 SNPedia pages with manually typed text 0 2 50 0 100 152 127 177 0 0 0 https://www.snpedia.com/index.php/$$ phenDis 1 color 50,0,100\
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itemDetailsHtmlTable snpediaTextHtml\
longLabel SNPedia pages with manually typed text\
parent snpedia\
shortLabel SNPedia with text\
track snpediaText\
type bed 4\
url https://www.snpedia.com/index.php/$$\
urlLabel Link to SNPedia page:\
hiSeqDepthTopPt5Pct Top 0.005 Depth bed 3 Top 0.005 of Read Depth Distribution 0 2 139 69 19 197 162 137 0 0 0 map 1 longLabel Top 0.005 of Read Depth Distribution\
parent hiSeqDepth\
priority 2\
shortLabel Top 0.005 Depth\
track hiSeqDepthTopPt5Pct\
TotalCounts_Rev Total counts of CAGE reads (rev) bigWig Total counts of CAGE reads reverse 2 2 0 0 255 127 127 255 0 0 0 regulation 0 bigDataUrl /gbdb/hg19/fantom5/ctssTotalCounts.rev.bw\
color 0,0,255\
dataVersion FANTOM5 phase2.5\
longLabel Total counts of CAGE reads reverse\
parent Total_counts_multiwig\
shortLabel Total counts of CAGE reads (rev)\
subGroups category=total strand=reverse\
track TotalCounts_Rev\
type bigWig\
unipAliTrembl TrEMBL Aln. bigPsl UCSC alignment of TrEMBL proteins to genome 0 2 0 0 0 127 127 127 0 0 0 genes 1 baseColorDefault genomicCodons\
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shortLabel TrEMBL Aln.\
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track unipAliTrembl\
type bigPsl\
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visibility hide\
TSS_activity_read_counts TSS activity - read counts bigWig FANTOM5: TSS activity per sample read counts 0 2 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
CpG islands are associated with genes, particularly housekeeping\
genes, in vertebrates. CpG islands are typically common near\
transcription start sites and may be associated with promoter\
regions. Normally a C (cytosine) base followed immediately by a \
G (guanine) base (a CpG) is rare in\
vertebrate DNA because the Cs in such an arrangement tend to be\
methylated. This methylation helps distinguish the newly synthesized\
DNA strand from the parent strand, which aids in the final stages of\
DNA proofreading after duplication. However, over evolutionary time,\
methylated Cs tend to turn into Ts because of spontaneous\
deamination. The result is that CpGs are relatively rare unless\
there is selective pressure to keep them or a region is not methylated\
for some other reason, perhaps having to do with the regulation of gene\
expression. CpG islands are regions where CpGs are present at\
significantly higher levels than is typical for the genome as a whole.
\
\
\
The unmasked version of the track displays potential CpG islands\
that exist in repeat regions and would otherwise not be visible\
in the repeat masked version.\
\
\
\
By default, only the masked version of the track is displayed. To view the\
unmasked version, change the visibility settings in the track controls at\
the top of this page.\
\
\
Methods
\
\
CpG islands were predicted by searching the sequence one base at a\
time, scoring each dinucleotide (+17 for CG and -1 for others) and\
identifying maximally scoring segments. Each segment was then\
evaluated for the following criteria:\
\
\
\
GC content of 50% or greater
\
\
length greater than 200 bp
\
\
ratio greater than 0.6 of observed number of CG dinucleotides to the expected number on the \
\ basis of the number of Gs and Cs in the segment
\
\
\
\
The entire genome sequence, masking areas included, was\
used for the construction of the track Unmasked CpG.\
The track CpG Islands is constructed on the sequence after\
all masked sequence is removed.\
\
\
The CpG count is the number of CG dinucleotides in the island. \
The Percentage CpG is the ratio of CpG nucleotide bases\
(twice the CpG count) to the length. The ratio of observed to expected \
CpG is calculated according to the formula (cited in \
Gardiner-Garden et al. (1987)):\
\
Obs/Exp CpG = Number of CpG * N / (Number of C * Number of G)
\
\
where N = length of sequence.\
\
The calculation of the track data is performed by the following command sequence:\
\
The unmasked track data is constructed from\
twoBitToFa -noMask output for the twoBitToFa command.\
\
\
Data access
\
\
CpG islands and its associated tables can be explored interactively using the\
REST API, the\
Table Browser or the\
Data Integrator.\
All the tables can also be queried directly from our public MySQL\
servers, with more information available on our\
help page as well as on\
our blog.
\
This track shows gene annotations from the Vertebrate Genome Annotation (Vega)\
database. Annotations are divided into two subtracks from the \
Vega Human Genome Annotation project: \
\
Vega Protein-Coding and Non-Coding Gene Annotations\
Vega Annotated Pseudogenes and Immunoglobulin Segments\
\
"The Vega database\
is designed to be a central repository for high-quality, frequently updated\
manual annotation of different vertebrate finished genome sequence.\
Vega attempts to present consistent high-quality curation of the published\
chromosome sequences. Finished genomic sequence is analysed on a\
clone-by-clone basis using\
a combination of similarity searches against DNA and protein databases\
as well as a series of ab initio gene predictions (GENSCAN, Fgenes).\
The annotation is based on supporting evidence only."
\
\
"In addition, comparative analysis using vertebrate datasets such as\
the Riken mouse cDNAs and Genoscope Tetraodon nigroviridis Ecores\
(Evolutionary Conserved Regions) are used for novel gene discovery."
\
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for\
gene prediction\
tracks. Transcript\
type (and other details) may be found by clicking on the transcript\
identifier which forms the outside link to the Vega transcript details page.\
Further information on the gene and transcript classification may be found\
here.\
\
\
Credits
\
\
Thanks to Steve Trevanion at the\
\
Wellcome Trust Sanger Institute \
for providing the GTF and FASTA files for the Vega annotations. Vega \
acknowledgements and publications are listed \
here.\
genes 1 color 30,130,210\
html vegaGeneComposite\
longLabel Vega Annotated Pseudogenes and Immunoglobulin Segments\
parent vegaGeneComposite\
priority 2\
shortLabel Vega Pseudogenes\
track vegaPseudoGene\
covidHgiGwas COVID GWAS v3 bigLolly 9 + GWAS meta-analyses from the COVID-19 Host Genetics Initiative 0 2.1 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,
Description
\
\
This track set shows GWAS meta-analyses from the \
\
COVID-19 Host Genetics Initiative (HGI): \
a collaborative effort to facilitate \
the generation, analysis and sharing of COVID-19 host genetics research.\
The COVID-19 HGI organizes meta-analyses across multiple studies contributed by \
partners world-wide\
to identify the genetic determinants of SARS-CoV-2 infection susceptibility and disease severity \
and outcomes. Moreover, the COVID-19 HGI also aims to provide a platform for study partners to \
share analytical results in the form of summary statistics and/or individual level data where \
possible.\
\
\
\
The specific phenotypes studied by the COVID-19 HGI are those that benefit from maximal sample \
size: primary analysis on disease severity. Two meta-analyses are represented in this track:\
\
\
\
ANA_C2_V2: covid vs. population (6696 cases from 18 studies)
\
ANA_B2_V2: hospitalized covid vs. population (3199 cases from 8 studies)
\
\
\
Display Conventions
\
\
Displayed items are colored by GWAS effect: red for positive, blue for negative. \
The height of the item reflects the effect size. The effect size, defined as the \
contribution of a SNP to the genetic variance of the trait, was measured as beta coefficient \
(beta). The higher the absolute value of the beta coefficient, the stronger the effect.\
The color saturation indicates statistical significance: p-values smaller than 1e-5\
are brightly colored (bright red\
\
, bright blue\
\
),\
those with less significance (p >= 1e-5) are paler (light red\
\
, light blue\
\
). For better visualization of the data, only SNPs with p-values smaller than 1e-3 are \
displayed by default. \
\
\
\
Each track has separate display controls and data can be filtered according to the\
number of studies, minimum -log10 p-value, and the\
effect size (beta coefficient), using the track Configure options.\
\
\
\
Mouseover on items shows the rs ID (or chrom:pos if none assigned), both the non-effect \
and effect alleles, the effect size (beta coefficient), the p-value, and the number of \
studies.\
Additional information on each variant can be found on the details page by clicking on the item.\
\
\
Methods
\
\
COVID-19 Host Genetics Initiative (HGI) GWAS meta-analysis round 3 (July 2020) results were used \
in this study. Each participating study partner submitted GWAS summary statistics for up to four \
of the COVID-19 phenotype definitions.\
\
\
Data were generated from genome-wide SNP array and whole exome and genome\
sequencing, leveraging the impact of both common and rare variants. The statistical analysis\
performed takes into account differences between sex, ancestry, and date of sample collection. \
Alleles were harmonized across studies and reported allele frequencies are based on gnomAD \
version 3.0 reference data. Most study partners used the SAIGE GWAS pipeline in order \
to generate summary statistics used for the COVID-19 HGI meta-analysis. The summary statistics \
of individual studies were manually examined for inflation, \
deflation, and excessive number of false positives. Qualifying summary statistics were filtered for \
INFO > 0.6 and MAF > 0.0001 prior to meta-analyzing the entirety of the data. \
The meta-analysis was done using inverse variance weighting of effects method, accounting for \
strand differences and allele flips in the individual studies. \
\
\
The meta-analysis results of variants appearing in at least three studies (analysis C2) or two \
studies (all other analyses) were made publicly available.\
The meta-analysis software and workflow are available here. More information about the \
prospective studies, processing pipeline, results and data sharing can be found \
here.\
\
Thanks to the COVID-19 Host Genetics Initiative contributors and project leads for making these \
data available, and in particular to Rachel Liao, Juha Karjalainen, and Kumar Veerapen at the \
Broad Institute for their review and input during browser track development.\
\
This track shows rare variants associated with monogenic congenital defects of immunity to \
the SARS-CoV-2 virus identified by the \
COVID Human Genetic Effort. \
This international consortium aims to discover truly causative variations: those underlying \
severe forms of COVID-19 in previously healthy individuals, and those that make certain \
individuals resistant to infection by the SARS-CoV2 virus despite repeated exposure.\
\
\
The major feature of the small set of variants in this track is that they are functionally tested\
to be deleterious and genetically tested to be disease-causing. \
Specifically, rare variants were predicted to be loss-of-function at human loci known to govern\
interferon (IFN) immunity to influenza virus in patients with life-threatening COVID-19 pneumonia, \
relative to subjects with asymptomatic or benign infection.\
These genetic defects display incomplete penetrance for influenza respiratory distress and only\
appear clinically upon infection with the more virulent SARS-CoV-2.\
\
\
Display Conventions
\
\
Only eight genes with 23 variants are contained in this track. \
Use the links below to navigate to the gene of interest or view \
all eight genes together using the following sessions for \
hg38 or\
hg19.\
\
This track uses variant calls in autosomal IFN-related genes from whole exome and genome data \
with a MAF lower than 0.001 (gnomAD v2.1.1) and experimental demonstration of loss-of-function.\
The patient population studied consisted of 659 patients with life-threatening COVID-19 pneumonia \
relative to 534 subjects with asymptomatic or benign infection of varying ethnicities. \
Variants underlying autosomal-recessive or autosomal-dominant deficiencies were identified in \
23 patients (3.5%) 17 to 77 years of age.\
The proportion of individuals carrying at least one variant was compared between severe cases \
and control cases by means of logistic regression with the likelihood ratio test.\
Principal Component Analysis (PCA) was conducted with Plink v1.9 software on whole exome and \
genome sequencing data with the 1000 Genomes (1kG) Project phase 3 public database as reference.\
Analysis of enrichment in rare synonymous variants of the genes was performed to check the \
calibration of the burden test. \
The odds ratio was also estimated by logistic regression and adjusted for ethnic heterogeneity.\
\
Thanks to the COVID Human Genetic Effort contributors for making these data available, and in\
particular to Qian Zhang at the Rockefeller University for review and input during browser track\
development.\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
phenDis 0 bigDataUrl /gbdb/hg19/metaDome/metaDome.bw\
color 0,105,145\
html constraintSuper\
longLabel MetaDome - Tolerance Landscape score\
maxHeightPixels 128:40:8\
maxWindowToDraw 10000000\
mouseOverFunction noAverage\
parent constraintSuper\
priority 2.5\
shortLabel MetaDome\
track metaDome\
type bigWig\
viewLimits 0:1\
viewLimitsMax 0:9\
visibility full\
yLineMark 0.7\
yLineOnOff on\
wgEncodeAwgDnaseMasterSites Master DNaseI HS bed 5 + DNaseI Hypersensitive Site Master List (125 cell types) from ENCODE/Analysis 1 2.6 0 0 0 127 127 127 1 0 0
Description
\
\
DNaseI hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the\
discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, \
silencers and locus control regions. \
This track displays an extensive map of human DHSs (~2.9 million) identified through \
genome-wide profiling in \
125 diverse cell and tissue types \
by the ENCODE Consortium between September 2007 and January 2011, with follow-on analysis \
and results reported in September 2012.
\
\
This master list track represents a summary of the 125 separate cell type DHSs.\
Each master list element consists of a DHS from at least one of the 125 cell types, \
and every DHS from a given cell type overlaps at least one master list DHS.\
For further details see the final paragraph of the Methods section below.
\
\
The data underlying this track was produced by two ENCODE production groups\
(University of Washington and Duke University).\
Uniform processing of the individual experiments was performed by the ENCODE Analysis Working \
Group, and is displayed in the \
ENCODE Uniform DNaseI HS\
browser track. \
The DNaseI HS Clusters\
track provides another view of this data.
\
\
Display Conventions and Configuration
\
\
The display for this track shows DHS locations and score as grayscale-colored items where\
higher scores correspond to darker-colored blocks. The label displayed to the left of \
each item indicates the number of cell types with DnaseI sensitivity detected at the site. \
Clicking on a displayed block shows a details page that lists the cell types.
\
\
Methods
\
\
DNaseI hypersensitivity mapping was performed using protocols developed by Duke University \
or University of Washington.\
Data sets were sequenced on Illumina instruments to an average depth of 30 million \
uniquely mapping sequence tags (27bp for University of Washington and 20bp for Duke University) \
per replicate. \
For uniformity of analysis, some cell-type data sets that exceeded 40M tag depth were \
randomly subsampled to a depth of 30 million tags. \
Sequence reads were mapped using the Bowtie aligner, allowing a maximum of two mismatches. \
Only reads mapping uniquely to the genome were used in the analyses. \
Mappings were to male or female versions of hg19/GRCh37, depending on cell type, \
with random regions omitted. \
Data were analysed jointly using a single algorithm to identify sites.
\
\
The hotspot algorithm (John et. al 2011) was applied uniformly to datasets from\
both protocols.\
Briefly, hotspot is a scan statistic that uses the binomial distribution to \
gauge enrichment of tags based on a local background model estimated around every tag. \
General-sized regions of enrichment are identified as hotspots, and then 150-bp peaks \
within hotspots are called by looking for local maxima in the tag density \
profile (sliding window tag count in 150-bp windows, stepping every 20 bp). \
Further stringencies are applied to the local maxima detection to prevent over calling \
of spurious peaks. \
The hotspot program also includes an FDR (false discovery rate) estimation procedure for thresholding \
hotspots and peaks, based on a simulation approach. \
Random reads are generated at the same sequencing depth as the target sample, hotspots\
are called on the simulated data, and the random and observed hotspots are compared \
via their z-scores (based on the binomial model) to estimate the FDR. \
Using this procedure, DHSs were identified at an FDR of 1%.
\
\
The DHSs called on individual cell-types were consolidated into a master list of 2,890,742 unique, \
non-overlapping DHS positions by first merging the FDR 1% peaks across all cell-types. \
Then, for each resulting interval of merged sites, the DHS with the highest z-score was \
selected for the master list. \
Any DHSs overlapping the peaks selected for the master list were then discarded. \
The remaining DHSs were then merged and the process repeated until each original DHS \
was either in the master list, or discarded. \
Of these DHSs, 970,100 were specific to a single cell type, 1,920,642 were active in 2 \
or more cell types, and 3,692 (a small minority) were detected in all cell types.\
Each master list DHS is annotated with the number of cell-types whose original DHSs \
overlap the master list DHS.
\
\
Credits
\
\
The master list was generated by the University of Washington ENCODE group on behalf of the ENCODE Analysis Working Group, based on uniformly processed DNaseI peaks (ENCODE Uniform DNaseI HS). Credits for the primary data underlying this track and the uniform peak calls are included in track description pages listed in the Description section of the Uniform DNaseI HS track.
\
\
Contact: Robert Thurman (University of Washington)
\
\
See also the references and credit sections in the related\
ENCODE Uniform DnaseI HS,\
ENCODE UW DnaseI HS\
and\
ENCODE Duke DnaseI HS\
tracks.\
\
regulation 1 bedNameLabel Number of cell types\
group regulation\
longLabel DNaseI Hypersensitive Site Master List (125 cell types) from ENCODE/Analysis\
minGrayLevel 3\
priority 2.6\
scoreMax 1000\
scoreMin 100\
shortLabel Master DNaseI HS\
sourceCountFilter 1:125\
sourceCountFilterByRange on\
sourceCountFilterLimits 1:125\
sourceTable wgEncodeAwgDnaseMasterSources\
spectrum on\
superTrack wgEncodeDNAseSuper dense\
track wgEncodeAwgDnaseMasterSites\
type bed 5 +\
urls sourceIds="http://genome.ucsc.edu/cgi-bin/hgEncodeVocab?ra=encode/cv.ra&deprecated=true&term=$$"\
visibility dense\
metaDomeAllScores MetaDome All Data bigBed 4 + 3 MetaDome - Tolerance Landscape score all annotations 0 2.6 0 0 0 127 127 127 0 0 0
Description
\
\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
phenDis 1 bigDataUrl /gbdb/hg19/metaDome/metaDome.bb\
html constraintSuper\
longLabel MetaDome - Tolerance Landscape score all annotations\
parent constraintSuper\
priority 2.6\
shortLabel MetaDome All Data\
track metaDomeAllScores\
type bigBed 4 + 3\
visibility hide\
wgEncodeAwgDnaseUniform Uniform DNaseI HS narrowPeak DNaseI Hypersensitivity Uniform Peaks from ENCODE/Analysis 1 2.6 0 0 0 127 127 127 1 0 0
Description
\
\
The ENCODE Analysis Working Group (AWG) has performed uniform processing on datasets produced by\
multiple data production groups in the ENCODE Consortium. This track represents a uniform set of\
open chromatin elements (DNaseI hypersensitive sites) in 125\
ENCODE cell types,\
based on DNase-seq data produced by the "Open Chromatin" (Duke/UNC/UT-A) and University of\
Washington (UW) ENCODE groups from the project inception in 2007 through the ENCODE January\
2011 data freeze. The AWG uniform datasets are used in downstream analysis pipelines by members of\
the ENCODE Consortium and are one of the primary sources of data referenced in the 2012 ENCODE\
integrative analysis paper (ENCODE Project Consortium 2012). More information about the ENCODE\
integrative analysis is here.
\
\
The primary and lab-processed data (along with methods descriptions, credits and references) on\
which this track is based are available in the following ENCODE tracks:\
\
The display for this track shows site location and signal value as grayscale-colored items where\
higher signal values correspond to darker-colored blocks. The display can be filtered to higher\
valued items, using the 'Minimum signal' configuration item.
\
\
This track is a composite annotation track containing multiple subtracks, one for each cell type.\
The display mode and filtering of each subtrack can be individually controlled. \
For more information about track configuration, see\
Configuring Multi-View Tracks.
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in\
the list of subtracks. The UCSC Accession listed in the metadata can be used with the File Search tool to\
retrieve primary data files underlying datasets of interest. \
\
\
In the subtrack selection list, the ENCODE tier (priority) is listed for each cell type. \
Tier 1 and Tier 2 represent categories with cell types designated for intensive study by \
the ENCODE investigators.\
After the January 2011 data freeze, an additional set of cell types were promoted from \
Tier 3 to Tier 2 to broaden the list of intensively studied cell types.\
These cell types are listed as Tier 2* in the subtrack list here (and are \
described as 'newly promoted to tier 2: not in 2011 analysis' on the\
ENCODE Common Cell Types page).
\
\
Methods
\
\
The DNase-seq aligned sequence reads (BAM files) from the primary data tracks listed above were\
processed using the UW HotSpot pipeline (as described in the UW DnaseI HS track description above).\
First, "hotspots" (i.e. broad, variable-sized regions of generalized chromatin accessibility) were\
identified using a relaxed threshold. Then more stringent "narrowPeaks" (False Discovery Rate 1% peaks)\
were generated by first thresholding hotspots (using random simulation) at FDR 1%, and then (essentially)\
locating local maxima of the tag density (150 bp window, sliding every 20 bp) within the hotspots.\
FDR 1% peaks were set to a fixed width of 150 bp.
\
\
The Duke DNase primary data were pre-processed to reduce variability by combining all replicates for\
a given cell-type and subsampling at a level of 30 million tags. For the UW data, the replicate 1\
calls from the primary UW DNaseI HS data track were used. For the 14 cell types where both groups\
have data, a collapsed set of FDR 1% peaks were generated by taking a non-overlapping selection of\
the calls from both centers and giving preference to the peak with the higher z-score when calls\
overlapped. A collapsed set of hotspots on these cell types was generated by merging the calls from\
both centers (taking the union interval of overlapping intervals).\
\
\
Credits
\
\
The processed data for this track were generated by the University of Washington ENCODE group on\
behalf of the ENCODE Analysis Working Group. Credits for the primary data underlying this track are\
included in track description pages listed in the Description section above. \
While primary ENCODE data is subject to a restriction period as described in the \
\
ENCODE data release policy, \
this restriction does not apply to the integrative analysis results. \
The data in this track are freely available.\
\
This track represents a comprehensive set of human transcription factor binding sites based on \
ChIP-seq experiments generated by production groups in the ENCODE Consortium between \
February 2011 and November 2018.
\
\
Transcription factors (TFs) are proteins that bind to DNA and interact with RNA polymerases to\
regulate gene expression. Some TFs contain a DNA binding domain and can bind directly to \
specific short DNA sequences ('motifs');\
others bind to DNA indirectly through interactions with TFs containing a DNA binding domain.\
High-throughput antibody capture and sequencing methods (e.g. chromatin immunoprecipitation\
followed by sequencing, or 'ChIP-seq') can be used to identify regions of\
TF binding genome-wide. These regions are commonly called ChIP-seq peaks.
\
\
The related\
Transcription Factor ChIP-seq Clusters tracks \
(hg19,\
hg38)\
provide summary views of this data.\
\
\
\
Display and File Conventions and Configuration
\
\
The display for this track shows site location with the point-source of the peak marked with a \
colored vertical bar and the level of enrichment at the site indicated by the darkness of the item.\
The subtracks are colored by UCSC ENCODE 2 cell type color conventions on the hg19 assembly, \
and by similarity of cell types in DNaseI hypersensitivity assays (as in the\
DNase Signal)\
track in the hg38 assembly.
\
\
The display can be filtered to higher valued items, using the \
Score range: configuration item.\
The score values were computed at UCSC based on signal values assigned by the ENCODE\
pipeline.\
The input signal values were multiplied by a normalization factor calculated as the ratio\
of the maximum score value (1000) to the signal value at 1 standard deviation from the mean,\
with values exceeding 1000 capped at 1000. This has the effect of distributing scores up to \
mean + 1std across the score range, but assigning all above to the maximum score.\
\
\
Thanks to the ENCODE Consortium, the ENCODE ChIP-seq production laboratories, and the\
ENCODE Data Coordination Center for generating and processing the datasets used here.\
Special thanks to Henry Pratt, Jill Moore, Michael Purcaro, and Zhiping Weng, PI, at the \
ENCODE Data Analysis Center\
(ZLab at UMass Medical Center) for providing the peak datasets, metadata,\
and guidance developing this track. Please check the\
ZLab ENCODE Public Hubs\
for the most updated data.\
\
Sloan CA, Chan ET, Davidson JM, Malladi VS, Strattan JS, Hitz BC, Gabdank I, Narayanan AK, Ho M, Lee\
BT et al.\
\
ENCODE data at the ENCODE portal.\
Nucleic Acids Res. 2016 Jan 4;44(D1):D726-32.\
PMID: 26527727; PMC: PMC4702836\
Users may freely download, analyze and publish results based on any ENCODE data without \
restrictions.\
Researchers using unpublished ENCODE data are encouraged to contact the data producers to discuss possible coordinated publications; however, this is optional.
\
\
Users of ENCODE datasets are requested to cite the ENCODE Consortium and ENCODE \
production laboratory(s) that generated the datasets used, as described in\
Citing ENCODE.
\
This track represents a comprehensive set of human transcription factor binding sites based on \
ChIP-seq experiments generated by production groups in the ENCODE Consortium from the inception \
of the project in September 2007, through the March 2012 internal data freeze. \
The track represents peak calls (regions of enrichment) that were generated by the ENCODE\
Analysis Working Group (AWG) based on a uniform processing pipeline developed for the ENCODE\
Integrative Analysis effort and published in a set of coordinated papers in September 2012. \
Peak calls from that effort, based on datasets from the January 2011 ENCODE data freeze) are \
available at the ENCODE Analysis Data Hub. \
This track is an update that includes newer data, and slightly modified methods for the \
peak calling.
\
\
This track contains 690 ChIP-seq datasets representing 161 unique regulatory factors (generic\
and sequence-specific factors). \
The datasets span 91 human cell types and some are in various treatment conditions. \
These datasets were generated by the five ENCODE TFBS ChIP-seq production groups: Broad, \
Stanford/Yale/UC-Davis/Harvard, HudsonAlpha Institute, University of Texas-Austin and University\
of Washington, and University of Chicago. The University of Chicago ChIP-seq were performed \
with an alternative epitope-tagged ChIP-seq methodology. The primary and lab-processed data \
(along with methods descriptions, credits and references) on which this track is based are\
available in the following ENCODE tracks: HAIB TFBS, SYDH TFBS, UChicago TFBS, UTA TFBS,\
UW CTCF Binding. These tracks are accessible from the ENC TF Binding Super-track. \
\
\
Display and File Conventions and Configuration
\
\
The display for this track shows site location with the point-source of the peak marked with a \
colored vertical bar and the level of enrichment at the site indicated by the darkness of the item.\
The display can be filtered to higher valued items, using the \
Score range: configuration item.\
The score values were computed at UCSC based on signal values assigned by the ENCODE\
uniform analysis pipeline.\
The input signal values were multiplied by a normalization factor calculated as the ratio\
of the maximum score value (1000) to the signal value at 1 standard deviation from the mean,\
with values exceeding 1000 capped at 1000. This has the effect of distributing scores up to \
mean + 1std across the score range, but assigning all above to the maximum score.\
\
This track is a composite annotation track containing multiple subtracks, one for each cell type.\
The display mode and filtering of each subtrack can be individually controlled.\
For more information about track configuration, see\
\
Configuring Multi-View Tracks.\
Metadata for a particular subtrack can be found by clicking the down arrow in\
the list of subtracks. The UCSC Accession listed in the metadata can be used with the\
File Search tool to\
retrieve primary data files underlying datasets of interest, by selecting \
UCSC Accession from the "ENCODE terms" drop down menu option.
\
\
In the subtrack selection list, the ENCODE tier (priority) is listed for each cell type.\
Tier 1 and Tier 2 represent categories with cell types designated for intensive study by\
the ENCODE investigators.\
After the January 2011 data freeze, an additional set of cell types were promoted from\
Tier 3 to Tier 2 to broaden the list of intensively studied cell types.\
These cell types are listed as Tier 2* in the subtrack list here (and are\
described as 'newly promoted to tier 2: not in 2011 analysis' on the\
ENCODE Common Cell Types page).
\
All ChIP-seq experiments were performed at least in duplicate, and were scored against\
an appropriate control designated by the production groups (either input DNA or DNA obtained\
from a control immunoprecipitation).
\
\
Short Read Mapping
\
\
For each dataset, mapped reads in the form of BAM files were downloaded from the\
ENCODE UCSC DCC. \
These BAM files were generated by the ENCODE data production labs (using different mappers \
and mapping parameters), but all used a standardized version of the GRCh37 (hg19) reference \
human genome sequence with the following modifications:\
\
Mitochondrial sequence was included.
\
Alternate sequences were excluded.
\
Random contigs were excluded.
\
The female version of the genome was represented by the autosomes and chrX, whereas the \
male genome was represented by the autosomes, chrX, and chrY with the PAR regions masked.
\
\
\
In order to standardize the mapping protocol, custom unique-mappability tracks were used to \
only retain unique mapping reads, i.e. reads that map to exactly one location in the genome. \
Positional and PCR duplicates were also filtered out.
\
\
Quality Control
\
A number of quality metrics for individual replicates listed on the\
ENCODE portal Quality Metrics page, including measures of library complexity\
and signal enrichment, were calculated and are available for\
review (Landt et al., 2012; Kundaje et al., 2013a). \
The Integrated Quality Flag from this quality assessment was used to assign the\
quality metadata term \
for each dataset (e.g., Good vs. Caution). \
Datasets that did not pass the minimum quality control thresholds are not included in this track.
\
\
\
Peak Calling
\
Since every ENCODE dataset is represented by at least two biological replicate experiments, \
a novel measure of consistency and reproducibility of peak calling results between replicates, \
known as the Irreproducible Discovery Rate (IDR), was used to determine an optimal number\
of reproducible peaks (Li et al., 2011; Kundaje et al., 2013b). Code and detailed step-by-step\
instructions to call peaks using the IDR method are\
available. \
In brief, the SPP peak caller (Kharchenko et al., 2008) was used with a relaxed peak calling\
threshold (FDR = 0.9) to obtain a large number of peaks (maximum of 300K) that span true signal \
as well as noise (false identifications). The IDR method analyzes a pair of replicates, and \
considers peaks that are present in both replicates to belong to one of two populations : a \
reproducible signal group or an irreproducible noise group. Peaks from the reproducible group \
are expected to show relatively higher ranks (ranked based on signal scores) and stronger \
rank-consistency across the replicates, relative to peaks in the irreproducible groups. \
Based on these assumptions, a two-component probabilistic copula-mixture model is used to fit\
the bivariate peak rank distributions from the pairs of replicates. The method adaptively learns\
the degree of peak-rank consistency in the signal component and the proportion of peaks belonging\
to each component. The model can then be used to infer an IDR score for every peak that is found\
in both replicates. The IDR score of a peak represents the expected probability that the peak\
belongs to the noise component, and is based on its ranks in the two replicates. \
Hence, low IDR scores represent high-confidence peaks. An IDR score threshold of 0.02 (2%) was\
used to obtain an optimal peak rank threshold on the replicate peak sets (cross-replicate \
threshold). \
If a dataset had more than two replicates, all pairs of replicates were analyzed using the IDR\
method. The maximum peak rank threshold across all pairwise analyses was used as the final\
cross-replicate peak rank threshold. Reads from replicate datasets were then pooled and SPP\
was once again used to call peaks on the pooled data with a relaxed FDR of 0.9. \
Pooled-data peaks were once again ranked by signal-score. The cross-replicate rank threshold\
learned from the replicates was used to threshold the ranked set of pooled-data peaks.
\
\
Any thresholds based on reproducibility of peak calling between biological replicates are bounded\
by the quality and enrichment of the worst replicate. Valuable signal is lost in cases for which\
a dataset has one replicate that is significantly worse in data quality than another replicate. \
A rescue pipeline was used for such cases in order to balance data quality between a set of\
replicates. Mapped reads were pooled across all replicates of a dataset, and then randomly \
sampled (without replacement) to generate two pseudo-replicates with equal numbers of reads.\
This sampling strategy tends to transfer signal from stronger replicates to the weaker \
replicates, thereby balancing cross-replicate data quality and sequencing depth. \
These pseudo-replicates were then processed using the IDR method in order to learn a rescue\
threshold. \
For datasets with comparable replicates (based on independent measures of data quality), the \
rescue threshold and cross-replicate thresholds were found to be very similar. \
However, for datasets with replicates of differing data quality, the rescue thresholds were\
often higher than the cross-replicate thresholds, and were able to capture true peaks that \
showed statistically significant and visually compelling ChIP-seq signal in one replicate \
but not in the other. \
Ultimately, for each dataset, the best of the cross-replicate and rescue thresholds were used\
to obtain a final consolidated optimal set of peaks.
\
\
All peak sets were then screened against a specially curated empirical blacklist\
of regions in the human genome (wgEncodeDacMapabilityConsensusExcludable.bed.gz)\
and peaks overlapping the blacklisted regions were discarded (Kundaje et al., 2013b). \
Briefly, these artifact regions typically show the following characteristics:\
\
\
Unstructured and extreme artifactual high signal in sequenced input-DNA and control datasets,\
as well as open chromatin datasets irrespective of cell type identity.
\
\
An extreme ratio of multi-mapping to unique mapping reads from sequencing experiments.
\
\
Overlap with pathological repeat regions such as centromeric, telomeric and satellite \
repeats that often have few unique mappable locations interspersed in repeats.
\
\
\
\
\
Differences from the January 2011 freeze pipeline
\
\
The January 2011 uniform processing was performed as part of the\
\
ENCODE Integrative Analysis \
reported in coordinated publications in September 2012. \
The results from this effort are available from the ENCODE Analysis Hub at the EBI.\
\
For the March 2012 freeze, only the SPP peak caller was used. \
SPP and PeakSeq were used for the January 2011 freeze.
\
\
For March 2012, In the read mapping phase, an extra step was performed to remove all \
positional duplicates. This was done to avoid low library complexity issues. \
In January 2011, remove positional duplicates were retained.
\
\
For March 2012, an IDR threshold of 2% was used for comparing and thresholding the true\
replicates and the pooled pseudo-replicates. \
In January 2011, the IDR threshold was set to 1% for the true replicates and 0.25% for the \
pooled pseudo-replicates. These thresholds were determined to be too stringent.
\
\
\
\
\
Credits
\
\
The processed data for this track were generated by Anshul Kundaje on\
behalf of the ENCODE Analysis Working Group. Credits for the primary data underlying this \
track are included in track description pages listed in the Description section above.\
Kundaje A, Jung L, Kharchenko PV, Sidow A, Batzoglou S, Park PJ.\
Assessment of ChIP-seq data quality using strand cross-correlation analysis. (submitted), 2012a.\
\
\
Kundaje A, Li Q, Brown JB, Rozowsky J, Harmanci A, Wilder SP, Batzoglou S, Dunham I, Gerstein M, Birney E, et al.\
Reproducibility measures for automatic threshold selection and quality control in ChIP-seq datasets. (submitted), 2012b.
While primary ENCODE data is subject to a restriction period as described in the\
\
ENCODE data release policy,\
this restriction does not apply to the integrative analysis results.\
The data in this track are freely available.
This track is produced as part of the ENCODE Transcriptome Project. \
Transcription of different \
\
RNA extracts from different \
\
sub-cellular localizations in different \
cell lines\
is compared in companion experiments using three different technologies: \
tiling arrays, RNA-seq using Solexa, and RNA-seq using SOLiD. The\
tiling array data are shown in this track. \
\
\
The Transfrags data are lifted over from the hg18 assembly. The Raw Transfrags are available for download only. Other views are available on the hg18 assembly.\
\
\
Display Conventions and Configuration
\
\
To show only selected subtracks, uncheck the boxes next to the tracks that \
you wish to hide.
\
\
\
Transfrags\
The filtered transfrags view excludes repeats and other known annotations \
including: \
tRNAs and rRNAs, mi/snoRNAs, things mapping to the mitochondrial or Y \
chromosomes, and many predicted snoRNAs and miRNAs.\
\
\
Methods
\
\
\
Cells were grown according to the approved \
ENCODE cell culture protocols.\
RNA molecules longer than 200 nt \
and present in RNA population isolated from different subcellular compartments \
(such as cytosol, nucleus, polysomes and others) were fractionated into polyA+ \
and polyA- fractions as described in\
these\
protocols.\
Each RNA fraction was converted into double-stranded cDNA using \
random hexamers, \
labeled and hybridized to a tiling 91-array set containing probes against the \
non-repetitive \
portion of the human genome tiled on average every 5 bp (center-to-center of \
each consecutive 25-mers).
\
\
All arrays were scaled to a median array intensity of 330. Within a sliding \
61 bp window \
centered on each probe, an estimate of RNA abundance \
was found by calculating the median of all pairwise average PM-MM values, \
where PM is a \
perfect match and MM is a mismatch. Kapranov et al. (2002), Cheng \
et al. (2005) , Kapranov et al. (2007), and Cawley \
et al. (2004) \
are good references for the experimental methods. Cawley et al. \
also describes the analytical methods.\
\
Verification
\
\
The reproducibility of the labeling method was assessed separately. Three \
independent \
technical replicates were generated from the same RNA pool for each RNA \
preparation and \
hybridized to duplicate arrays (two technical replicates) that contain the \
ENCODE regions. \
Labeled RNA samples were then pooled and hybridized to the tiling 91-array \
set spanning \
the whole genome. Transcribed regions (transfrags; see the Raw Transfrags \
view) were \
generated from the Raw Signal by merging genomic positions to which \
probes \
are mapped. This merging was based on a 5% false positive rate cutoff in \
negative \
bacterial controls, a maximum gap (MaxGap) of 40 base-pairs and minimum run \
(MinRun) \
of 40 base-pairs.
\
\
Release Notes
\
The track data were originally computed on the Human March 2006 assembly (hg18);\
the coordinates of the Transfrags were transformed to this assembly using UCSC's liftOver\
program.\
Credits
\
\
These data were generated and analyzed by the transcriptome group at \
Affymetrix\
and Cold Spring Harbor Laboratories: \
P. Kapranov, I. Bell, E. Dumais, \
J. Drenkow, J. Dumais, N. Garg, M. Lubinsky,\
Carrie A. Davis, Huaien Wang, Kimberly Bell, Jorg Drenkow, Chris Zaleski,\
and Thomas R. Gingeras.\
\
\
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
\
This track displays regions showing evidence for conservation with respect \
to mutations involving sequence insertions and deletions (indels).\
These “indel-purified sequences” (IPSs) were obtained by comparing the \
predictions of a neutral model of indel evolution with data obtained from \
human (hg19), mouse (mm8) and dog (camFam2) alignments (Lunter et al., 2006)\
The evidence for conservation is statistical, and each region is annotated \
with a posterior probability. It may be interpreted as the probability that \
the segment shows the paucity of indels by selection, rather than by random \
chance.\
Apart from the underlying alignment, these data are independent of the \
conservation of the nucleotide sequence itself. Any inferred conservation \
of the sequence, e.g. as shown by phastCons, is therefore independent evidence \
for selection. It may happen that sequence is conserved with respect to \
indel mutations without concomitant evidence of conservation of the \
nucleotide sequence. The opposite may also happen.\
\
\
Display Conventions
\
The score (based on the false discovery rate, FDR) is reflected in the \
bluescale density gradient coloring the track items. Lighter colours reflect a \
higher FDR.\
\
Methods
\
\
In the absence of selection, indels have a certain predicted distribution \
over the genome. The actual distribution shows an over-abundance of ungapped \
regions, due to selection purifying functional sequence from the deleterious \
effects of indels. Neutrally evolving sequence, such as (by and large) \
ancestral repeats, show an exceedingly good fit to the neutral predictions. \
This accurate fit allows the identification of a good proportion of conserved \
sequence at a relatively low false discovery rate (FDR). For example, at \
an FDR of 10%, the predicted sensitivity is 75%.\
Each identified indel-purified sequence (IPS) is annotated by two numbers: a \
false discovery rate (FDR), and a posterior probability (p). \
The FDR refers to a set of segments, not a given segment by itself. In this \
case, it refers to the minimum FDR of all sets that include the segment of \
interest. For example, a segment annotated with a 10% FDR also belongs to a \
set with a 15% FDR, but not a set with a 5% FDR.\
The posterior probability does refer to the single segment by itself. It has \
a frequentist interpretation, namely, as the proportion of regions, annotated \
with the same posterior probability, that have been under purifying selection, \
rather than showing the observed lack of indels by random chance.\
The data include segments for a false-discovery rate of up to 50%. The \
score directly reflects the FDR, through the following formula:\
\
score = 90 / (FDR + 0.08)
\
\
This maps FDR 1% (the most restrictive category) to 999, and FDR 10% to 500.\
For further details of the Methods, see Lunter et al., 2006.\
\
\
Verification
\
\
The neutral indel model was calibrated using ancestral repeats, against which \
it showed an excellent fit. Among the identified IPSs at 10% FDR and \
predicted sensitivity of 75%, we found 75% of annotated protein-coding \
exons (weighted by length), and 75% of the 222 microRNAs that were \
annotated at the time. Ancestral repeats were heavily depleted among the \
identified segments.
\
\
Credits
\
\
These data were generated by Gerton Lunter and Chris Ponting, MRC Functional \
Genetics Unit, University of Oxford, United Kingdom and Jotun Hein,\
Department of Statistics, University of Oxford, United Kingdom.
\
compGeno 1 color 0, 60, 120\
group compGeno\
longLabel Indel-based Conservation for Human hg19, Mouse mm8 and Dog canFam2\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
priority 3\
shortLabel Cons Indels MmCf\
track consIndelsHgMmCanFam\
type bed 5 .\
useScore 1\
visibility hide\
wgEncodeCrgMapabilityAlign40mer CRG Align 40 bigWig 0.00 1.00 Alignability of 40mers by GEM from ENCODE/CRG(Guigo) 0 3 0 100 0 127 177 127 0 0 0 map 1 color 0,100,0\
longLabel Alignability of 40mers by GEM from ENCODE/CRG(Guigo)\
origAssembly hg19\
parent wgEncodeMapabilityViewCRGMAP off\
shortLabel CRG Align 40\
subGroups view=CRGMAP win=w040 lab=CRG\
track wgEncodeCrgMapabilityAlign40mer\
type bigWig 0.00 1.00\
dbSnp153Mult dbSNP(153) Mult. bigDbSnp Short Genetic Variants from dbSNP Release 153 that Map to Multiple Genomic Loci 1 3 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp153Mult.bb\
defaultGeneTracks knownGene\
longLabel Short Genetic Variants from dbSNP Release 153 that Map to Multiple Genomic Loci\
parent dbSnp153ViewVariants off\
priority 3\
shortLabel dbSNP(153) Mult.\
subGroups view=variants\
track dbSnp153Mult\
dbVar_common_global dbVar Curated All Populations bigBed 9 + . NCBI dbVar Curated Common SVs: all populations 3 3 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$ varRep 1 bigDataUrl /gbdb/hg19/bbi/dbVar/common_global.bb\
longLabel NCBI dbVar Curated Common SVs: all populations\
parent dbVar_common on\
shortLabel dbVar Curated All Populations\
track dbVar_common_global\
type bigBed 9 + .\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$\
urlLabel NCBI Variant Page:\
affyExonProbesetExtended Extended PS bed 12 Affymetrix Human Exon Array Extended Probesets 1 3 139 69 19 197 162 137 0 0 0 expression 1 color 139,69,19\
longLabel Affymetrix Human Exon Array Extended Probesets\
parent affyExonProbeset\
shortLabel Extended PS\
subGroups view=v1Probeset level=L2Extended\
track affyExonProbesetExtended\
dhcVcfHGDP00521 French Variants vcfTabix French Individual (HGDP00521) Variant Calls 0 3 0 0 0 127 127 127 0 0 0 denisova 1 longLabel French Individual (HGDP00521) Variant Calls\
parent dhcVcfModern\
priority 3\
shortLabel French Variants\
track dhcVcfHGDP00521\
vcfDoMaf off\
rnaCluster Gene Bounds bed 12 . Gene Boundaries as Defined by RNA and Spliced EST Clusters 0 3 200 0 50 227 127 152 0 0 0
Description
\
\
This track shows the boundaries of genes and the direction of\
transcription as deduced from clustering spliced ESTs and mRNAs\
against the genome. When many spliced variants of the same gene exist, \
this track shows the variant that spans the greatest distance in the \
genome.
\
\
Method
\
\
ESTs and mRNAs from \
GenBank were aligned against the genome using BLAT.\
Alignments with less than 97.5% base identity within the aligning blocks \
were filtered out. When multiple alignments occurred, only those\
alignments with a percentage identity within 0.2% of the\
best alignment were kept. The following alignments were also discarded: \
ESTs that aligned without any introns, blocks smaller than 10 bases, and \
blocks smaller than 130 bases that were not located next to an intron. \
The orientations of the ESTs and mRNAs were deduced from the GT/AG splice \
sites at the introns; ESTs and mRNAs with overlapping blocks\
on the same strand were merged into clusters. Only the\
extent and orientation of the clusters are shown in this track.
\
\
Scores for individual gene boundaries were assigned based on the number of \
cDNA alignments used:\
\
300 — based on a single cDNA alignment \
600 — based on two alignments \
900 — based on three alignments \
1000 — based on four or more alignments \
\
\
Credits
\
\
This track, which was originally developed by Jim Kent,\
was generated at UCSC and uses data submitted to GenBank by \
scientists worldwide.
\
\
References
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL. \
GenBank: update. Nucleic Acids Res. \
2004 Jan 1;32:D23-6.
\
rna 1 color 200,0,50\
exonNumbers off\
group rna\
longLabel Gene Boundaries as Defined by RNA and Spliced EST Clusters\
priority 3\
shortLabel Gene Bounds\
track rnaCluster\
type bed 12 .\
visibility hide\
pubsMarkerGene Genes bed 5 Gene Symbols in Publications 0 3 0 0 0 127 127 127 0 0 0 phenDis 1 longLabel Gene Symbols in Publications\
parent pubs off\
priority 3\
shortLabel Genes\
track pubsMarkerGene\
type bed 5\
visibility hide\
geneHancerInteractionsDoubleElite GH Interactions (DE) bigInteract Interactions between GeneHancer regulatory elements and genes (Double Elite) 2 3 0 0 0 127 127 127 0 0 0 https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerInteractionsDoubleElite.v2.hg19.bb\
longLabel Interactions between GeneHancer regulatory elements and genes (Double Elite)\
parent ghInteraction on\
shortLabel GH Interactions (DE)\
subGroups set=a_ELITE view=c_I\
track geneHancerInteractionsDoubleElite\
urlLabel Interaction in GeneCards\
wgEncodeGisRnaPetGm12878CytosolPapPlusRawRep1V2 GM12 cyto pA+ + 1 bigWig 1.000000 1657960.000000 GM12878 cytosol polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 3 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel GM12 cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aGM12878 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878CytosolPapPlusRawRep1V2\
type bigWig 1.000000 1657960.000000\
wgEncodeGisRnaSeqGm12878CytosolPapPlusRawRep1 GM12 cyto pA+ + 1 bigWig 1.000000 25062.000000 GM12878 cytosol polyA+ RNA-seq Plus raw signal rep 1 from ENCODE/GIS 2 3 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Plus raw signal rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewPlusRawSignal on\
shortLabel GM12 cyto pA+ + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqGm12878CytosolPapPlusRawRep1\
type bigWig 1.000000 25062.000000\
wgEncodeGisDnaPetGm12878F10kAln GM12878 10k bam ENCODE GIS DNA PET Alignments (10k frags in GM12878 cells) 1 3 153 38 0 204 146 127 0 0 0 varRep 1 color 153,38,0\
longLabel ENCODE GIS DNA PET Alignments (10k frags in GM12878 cells)\
parent wgEncodeGisDnaPetViewAlignments on\
shortLabel GM12878 10k\
subGroups cellType=t1GM12878 fragSize=c10K\
track wgEncodeGisDnaPetGm12878F10kAln\
wgEncodeDukeAffyExonGm12878SimpleSignalRep3V2 GM12878 3 bigBed 6 + GM12878 Exon array Signal Rep 3 from ENCODE/Duke 0 3 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM12878 3\
subGroups cellType=t1GM12878 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonGm12878SimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878BatfPcr1xUniPk GM12878 BATF narrowPeak GM12878 TFBS Uniform Peaks of BATF from ENCODE/HudsonAlpha/Analysis 1 3 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BATF from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BATF\
subGroups tier=a10 cellType=a10GM12878 factor=BATF lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878BatfPcr1xUniPk\
wgEncodeOpenChromChipGm12878CmycBaseOverlapSignal GM12878 cMyc OS bigWig 0.000000 599.000000 GM12878 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 3 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel GM12878 cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CmycBaseOverlapSignal\
type bigWig 0.000000 599.000000\
wgEncodeUncBsuProtGencGm12878CytosolIngelpepMapGcFt GM12878 Cyt bigBed 12 GM12878 Cytosol InGel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU 2 3 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Cytosol InGel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel GM12878 Cyt\
subGroups view=pepMapGcFt cellType=GM12878 localization=CYTOSOL protocol=INGEL\
track wgEncodeUncBsuProtGencGm12878CytosolIngelpepMapGcFt\
type bigBed 12\
wgEncodeAffyRnaChipFiltTransfragsGm12878CytosolLongpolya GM12878 cyto pA+ broadPeak GM12878 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 3 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel GM12878 cyto pA+\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=bCYTOSOL rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsGm12878CytosolLongpolya\
type broadPeak\
wgEncodeSunyRipSeqGm12878Elavl1Pk GM12878 ELAVL1 Pk broadPeak GM12878 ELAVL1 RIP-seq Analysis from ENCODE/SUNY 2 3 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELAVL1 RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks on\
shortLabel GM12878 ELAVL1 Pk\
subGroups view=Peaks factor=ELAVL1 cellType=t1GM12878 rep=Pooled\
track wgEncodeSunyRipSeqGm12878Elavl1Pk\
type broadPeak\
wgEncodeBroadHistoneGm12878Ezh239875Pk GM12878 EZH2 broadPeak GM12878 EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 3 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 EZH2\
subGroups view=Peaks factor=EZH239875 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878Ezh239875Pk\
type broadPeak\
wgEncodeOpenChromFaireGm12878BaseOverlapSignal GM12878 FAIRE OS bigWig 0.000000 2739.000000 GM12878 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 3 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo\
shortLabel GM12878 FAIRE OS\
subGroups view=SIGBO cellType=t1GM12878 treatment=AANONE\
track wgEncodeOpenChromFaireGm12878BaseOverlapSignal\
type bigWig 0.000000 2739.000000\
wgEncodeSunyAlbanyGeneStGm12878Igf2bp1RbpAssocRnaV2 GM12878 IGF2BP1 broadPeak GM12878 IGF2BP1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 3 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 IGF2BP1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel GM12878 IGF2BP1\
subGroups cellType=t1GM12878 factor=IGF2BP1\
track wgEncodeSunyAlbanyGeneStGm12878Igf2bp1RbpAssocRnaV2\
type broadPeak\
wgEncodeUncBsuProtGm12878NucleusSig GM12878 nucleus peptideMapping GM12878 Nucleus Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 3 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Nucleus Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel GM12878 nucleus\
subGroups view=Signal cellType=t1GM12878 localization=nucleus protocol=INGEL\
track wgEncodeUncBsuProtGm12878NucleusSig\
type peptideMapping\
visibility full\
wgEncodeOpenChromDnaseGm12878BaseOverlapSignal GM12878 OS bigWig 0.000000 627.000000 GM12878 DNaseI HS Overlap Signal from ENCODE/Duke 2 3 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo\
shortLabel GM12878 OS\
subGroups view=SIGBO cellType=t1GM12878 treatment=zNONE\
track wgEncodeOpenChromDnaseGm12878BaseOverlapSignal\
type bigWig 0.000000 627.000000\
wgEncodeUwRepliSeqGm12878S2PctSignalRep1 GM12878 S2 1 bigWig 1.000000 100.000000 GM12878 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 3 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 S2 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqGm12878S2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeAwgSegmentationSegwayGm12878 GM12878 Segway bed 9 . GM12878 Genome Segmentation by Segway from ENCODE/Analysis 0 3 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878 Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel GM12878 Segway\
subGroups tier=t1 cellType=t1GM12878 method=Segway\
track wgEncodeAwgSegmentationSegwayGm12878\
type bed 9 .\
wgEncodeUwDnaseGm12878RawRep1 GM12878 Sg 1 bigWig 1.000000 19102.000000 GM12878 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 3 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw\
shortLabel GM12878 Sg 1\
subGroups view=zRSig cellType=t1GM12878 rep=rep1 treatment=None\
track wgEncodeUwDnaseGm12878RawRep1\
type bigWig 1.000000 19102.000000\
wgEncodeSunyAlbanyTilingGm12878T7tagRbpAssocRna GM12878 T7Tag broadPeak GM12878 T7Tag RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 3 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 T7Tag RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel GM12878 T7Tag\
subGroups view=RbpAssocRna cellType=t1GM12878 antibody=T7Tag\
track wgEncodeSunyAlbanyTilingGm12878T7tagRbpAssocRna\
type broadPeak\
wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il200SigRep1V4 GM78 2x75 Sg 1 bigWig 0.025000 168603.000000 GM12878 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 3 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal\
shortLabel GM78 2x75 Sg 1\
subGroups view=Signal cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il200SigRep1V4\
type bigWig 0.025000 168603.000000\
wgEncodeHaibTfbsGm12878Atf2sc81188V0422111PkRep2 GM78 ATF2 V11 2 broadPeak GM12878 ATF2 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 3 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ATF2 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ATF2 V11 2\
subGroups view=Peaks factor=ATF2SC81188 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Atf2sc81188V0422111PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Brca1a300IggmusPk GM78 BRC1 IgM narrowPeak GM12878 BRCA1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 3 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BRCA1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 BRC1 IgM\
subGroups view=Peaks factor=BRCA1A300 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Brca1a300IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878CellPamContigs GM78 cel pA- C bed 6 + GM12878 whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 3 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs on\
shortLabel GM78 cel pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=CELL rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqGm12878CellPamContigs\
type bed 6 +\
wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapMinusRawRep2 GM78 cell TAP - 2 bigWig 1.000000 4146497.000000 GM12878 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 3 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 cell TAP - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapMinusRawRep2\
type bigWig 1.000000 4146497.000000\
wgEncodeUwTfbsGm12878CtcfStdRawRep1 GM78 CTCF Sg 1 bigWig 1.000000 2723.000000 GM12878 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 3 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel GM78 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t1GM12878 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdRawRep1\
type bigWig 1.000000 2723.000000\
wgEncodeRikenCageGm12878CytosolPamMinusSignal GM78 cyto pA- - 1 bigWig 0.040000 4464.319824 GM12878 cytosol polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 3 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 cyto pA- - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPamMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeUwHistoneGm12878H3k4me3StdRawRep1 GM78 H3K4M3 Sg 1 bigWig 1.000000 2525.000000 GM12878 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 3 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdRawRep1\
type bigWig 1.000000 2525.000000\
gnomadSvNonneuro gnomAD Non-Neuro SV's bigBed 9 + gnomAD Structural Variants Non-neuro Only 1 3 0 0 0 127 127 127 0 0 0 https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/structuralVariants/gnomad_v2.1_sv.nonneuro.sites.bb\
filter.svlen 50:199840172\
filterByRange.svlen on\
filterLabel.svlen Filter by Variant Size\
filterLabel.svtype Type of Variation\
filterValues.svtype BND|Breakend,CPX|Complex,CTX|Translocation,DEL|Deletion,DUP|Duplication,INS|Insertion,INV|Inversion,MCNV|Multi-allele CNV\
itemRgb on\
longLabel gnomAD Structural Variants Non-neuro Only\
mouseOverField _mouseOver\
parent gnomadStructuralVariants off\
searchIndex name\
shortLabel gnomAD Non-Neuro SV's\
track gnomadSvNonneuro\
type bigBed 9 +\
url https://gnomad.broadinstitute.org/variant/$$?dataset=gnomad_sv_r2_1\
urlLabel gnomAD Structural Variant Browser\
gnomadMissense gnomAD Regional Missense Constraint (ExAc Dataset, as on DECIPHER Browser) bigBed 12 + gnomAD Predicted Regional Missense Constraint Metrics (O/E scores from ExAc Dataset) v2.1.1 3 3 0 0 0 127 127 127 0 0 0 varRep 1 bigDataUrl /gbdb/hg19/gnomAD/missense/missenseConstrained.bb\
defaultLabelFields geneName\
filter.obs_exp 0:5\
filterByRange.obs_exp on\
filterLabel.obs_exp Show only items between this O/E range\
group varRep\
itemRgb on\
labelFields name,geneName\
longLabel gnomAD Predicted Regional Missense Constraint Metrics (O/E scores from ExAc Dataset) v2.1.1\
mouseOverField _mouseOver\
parent gnomadPLI off\
priority 3\
shortLabel gnomAD Regional Missense Constraint (ExAc Dataset, as on DECIPHER Browser)\
track gnomadMissense\
type bigBed 12 +\
hinv70PseudoGene H-Inv pseudo-genes bed 12 H-Inv v7.0 Pseudogene Predictions 0 3 30 130 210 142 192 232 0 0 0 http://h-invitational.jp/hinv/spsoup/transcript_view?hit_id=$$ genes 1 color 30,130,210\
longLabel H-Inv v7.0 Pseudogene Predictions\
parent hinv70Composite\
priority 3\
shortLabel H-Inv pseudo-genes\
track hinv70PseudoGene\
wgEncodeHaibGenotypeH1hescRegionsRep2 H1-hESC 1 bed 9 + H1-hESC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 3 0 0 0 127 127 127 0 0 0 varRep 1 longLabel H1-hESC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype on\
shortLabel H1-hESC 1\
subGroups cellType=t1H1HESC obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeH1hescRegionsRep2\
type bed 9 +\
wgEncodeHaibMethylRrbsH1hescHaibSitesRep1 H1-hESC 1 bed 9 + H1-hESC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 3 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs on\
shortLabel H1-hESC 1\
subGroups cellType=t1H1HESC obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsH1hescHaibSitesRep1\
type bed 9 +\
wgEncodeFsuRepliChipH1hescWaveSignalRep3 H1-hESC 3 bigWig -1.977997 1.958099 H1-hESC Repli-chip Wavelet-smoothed Signal Rep 3 from ENCODE/FSU 0 3 0 107 27 127 181 141 0 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC Repli-chip Wavelet-smoothed Signal Rep 3 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel H1-hESC 3\
subGroups view=WaveSignal cellType=t1H1HESC rep=rep3\
track wgEncodeFsuRepliChipH1hescWaveSignalRep3\
type bigWig -1.977997 1.958099\
hapmapSnpsCHB HapMap SNPs CHB bed 6 + HapMap SNPs from the CHB Population (Han Chinese in Beijing, China) 0 3 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the CHB Population (Han Chinese in Beijing, China)\
parent hapmapSnps\
priority 3\
shortLabel HapMap SNPs CHB\
track hapmapSnpsCHB\
wgEncodeRegTxnCaltechRnaSeqHelas3R2x75Il200SigPooled HeLa-S3 bigWig 0 65535 Transcription of HeLa-S3 cells from ENCODE 0 3 227 255 128 241 255 191 0 0 0 regulation 1 color 227,255,128\
longLabel Transcription of HeLa-S3 cells from ENCODE\
parent wgEncodeRegTxn\
priority 3\
shortLabel HeLa-S3\
track wgEncodeRegTxnCaltechRnaSeqHelas3R2x75Il200SigPooled\
type bigWig 0 65535\
dhcHumDerDenAncAllHighFreq HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: All 3 3 0 0 0 127 127 127 0 0 0 denisova 1 color 0,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: All\
parent dhcHumDerDenAncAll\
shortLabel HiF\
subGroups view=All subset=All freq=HighFreq\
track dhcHumDerDenAncAllHighFreq\
wgEncodeRegMarkH3k4me1Hsmm HSMM bigWig 0 6265 H3K4Me1 Mark (Often Found Near Regulatory Elements) on HSMM Cells from ENCODE 0 3 120 235 204 187 245 229 0 0 0 regulation 1 color 120,235,204\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on HSMM Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel HSMM\
table wgEncodeBroadHistoneHsmmH3k4me1StdSig\
track wgEncodeRegMarkH3k4me1Hsmm\
type bigWig 0 6265\
wgEncodeRegMarkH3k4me3Hsmm HSMM bigWig 0 25995 H3K4Me3 Mark (Often Found Near Promoters) on HSMM Cells from ENCODE 0 3 120 235 204 187 245 229 0 0 0 regulation 1 color 120,235,204\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on HSMM Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel HSMM\
table wgEncodeBroadHistoneHsmmH3k4me3StdSig\
track wgEncodeRegMarkH3k4me3Hsmm\
type bigWig 0 25995\
wgEncodeRegMarkH3k27acHsmm HSMM bigWig 0 5448 H3K27Ac Mark (Often Found Near Regulatory Elements) on HSMM Cells from ENCODE 2 3 120 235 204 187 245 229 0 0 0 regulation 1 color 120,235,204\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on HSMM Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel HSMM\
table wgEncodeBroadHistoneHsmmH3k27acStdSig\
track wgEncodeRegMarkH3k27acHsmm\
type bigWig 0 5448\
huvecInsitu HUVEC Hi-C hic In situ Hi-C Chromatin Structure on HUVEC 0 3 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_HUVEC_combined.hic\
longLabel In situ Hi-C Chromatin Structure on HUVEC\
parent rao2014Hic off\
shortLabel HUVEC Hi-C\
track huvecInsitu\
type hic\
xGen_Research_Targets IDT xGen V1.0 T bigBed IDT - xGen Exome Research Panel V1.0 Target Regions 1 3 255 176 0 255 215 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/xgen-exome-research-panel-targets-hg19.bb\
color 255,176,0\
longLabel IDT - xGen Exome Research Panel V1.0 Target Regions\
parent exomeProbesets off\
shortLabel IDT xGen V1.0 T\
track xGen_Research_Targets\
type bigBed\
visibility dense\
jaspar2020 JASPAR 2020 TFBS bigBed 6 + JASPAR CORE 2020 - Predicted Transcription Factor Binding Sites 0 3 0 0 0 127 127 127 1 0 0 http://jaspar.genereg.net/search?q=$$&collection=all&tax_group=all&tax_id=all&type=all&class=all&family=all&version=all regulation 1 bigDataUrl /gbdb/hg19/jaspar/JASPAR2020.bb\
filterValues.name Ahr::Arnt,Alx1,ALX3,Alx4,Ar,ARGFX,Arid3a,Arid3b,Arid5a,Arnt,ARNT2,ARNT::HIF1A,Arntl,Arx,ASCL1,ASCL1(var.2),Ascl2,Atf1,ATF2,ATF3,ATF4,ATF6,ATF7,Atoh1,ATOH1(var.2),ATOH7,BACH1,Bach1::Mafk,BACH2,BACH2(var.2),BARHL1,BARHL2,BARX1,BARX2,BATF,BATF3,BATF::JUN,BCL6,BCL6B,Bhlha15,BHLHA15(var.2),BHLHE22,BHLHE22(var.2),BHLHE23,BHLHE40,BHLHE41,BSX,CDX1,CDX2,CDX4,CEBPA,CEBPB,CEBPD,CEBPE,CEBPG,CEBPG(var.2),CENPB,CLOCK,CREB1,CREB3,CREB3L1,Creb3l2,CREB3L4,CREB3L4(var.2),Creb5,CREM,Crx,CTCF,CTCFL,CUX1,CUX2,DBP,Ddit3::Cebpa,Dlx1,Dlx2,Dlx3,Dlx4,DLX5,DLX6,Dmbx1,Dmrt1,DMRT3,DMRTA2,DMRTC2,DPRX,DRGX,Dux,DUX4,DUXA,E2F1,E2F2,E2F3,E2F4,E2F6,E2F7,E2F8,EBF1,Ebf2,EBF3,EGR1,EGR2,EGR3,EGR4,EHF,ELF1,ELF2,ELF3,ELF4,ELF5,ELK1,ELK3,ELK4,EMX1,EMX2,EN1,EN2,EOMES,ERF,ERG,ESR1,ESR2,ESRRA,ESRRB,Esrrg,ESX1,ETS1,ETS2,ETV1,ETV2,ETV3,ETV4,ETV5,ETV6,EVX1,EVX2,EWSR1-FLI1,FERD3L,FEV,FIGLA,FLI1,FOS,FOSB::JUN,FOSB::JUNB,FOSB::JUNB(var.2),FOS::JUN,FOS::JUNB,FOS::JUND,FOS::JUN(var.2),FOSL1,FOSL1::JUN,FOSL1::JUNB,FOSL1::JUND,FOSL1::JUND(var.2),FOSL1::JUN(var.2),FOSL2,FOSL2::JUN,FOSL2::JUNB,FOSL2::JUNB(var.2),FOSL2::JUND,FOSL2::JUND(var.2),FOSL2::JUN(var.2),FOXA1,FOXA2,FOXA3,FOXB1,FOXC1,FOXC2,FOXD1,FOXD2,Foxd3,FOXE1,Foxf1,FOXF2,FOXG1,FOXH1,FOXI1,Foxj2,Foxj3,FOXK1,FOXK2,FOXL1,Foxl2,FOXN3,Foxo1,FOXO3,FOXO4,FOXO6,FOXP1,FOXP2,FOXP3,Foxq1,GABPA,GATA1,GATA1::TAL1,GATA2,GATA3,GATA4,GATA5,GATA6,GBX1,GBX2,GCM1,GCM2,GFI1,Gfi1b,GLI2,GLI3,GLIS1,GLIS2,GLIS3,Gmeb1,GMEB2,GRHL1,GRHL2,GSC,GSC2,GSX1,GSX2,Hand1::Tcf3,HAND2,HES1,HES2,HES5,HES6,HES7,HESX1,HEY1,HEY2,Hic1,HIC2,HIF1A,HINFP,HLF,HLTF,HMBOX1,Hmx1,Hmx2,Hmx3,HNF1A,HNF1B,HNF4A,HNF4A(var.2),HNF4G,HOXA1,HOXA10,Hoxa11,HOXA13,HOXA2,HOXA4,HOXA5,HOXA6,HOXA7,HOXA9,HOXB13,HOXB2,HOXB3,HOXB4,HOXB5,HOXB6,HOXB7,HOXB8,HOXB9,HOXC10,HOXC11,HOXC12,HOXC13,HOXC4,HOXC8,HOXC9,HOXD10,HOXD11,HOXD12,HOXD13,HOXD3,HOXD4,HOXD8,HOXD9,HSF1,HSF2,HSF4,IKZF1,INSM1,IRF1,IRF2,IRF3,IRF4,IRF5,IRF6,IRF7,IRF8,IRF9,Isl1,ISL2,ISX,JDP2,JDP2(var.2),JUN,JUNB,JUNB(var.2),JUND,JUND(var.2),JUN::JUNB,JUN::JUNB(var.2),JUN(var.2),Klf1,KLF10,KLF11,Klf12,KLF13,KLF14,KLF15,KLF16,KLF17,KLF2,KLF3,KLF4,KLF5,KLF6,KLF9,LBX1,LBX2,LEF1,LHX1,LHX2,Lhx3,Lhx4,LHX5,LHX6,Lhx8,LHX9,LIN54,LMX1A,LMX1B,MAF,MAFA,Mafb,MAFF,MAFG,MAFK,MAF::NFE2,MAX,MAX::MYC,MAZ,Mecom,MEF2A,MEF2B,MEF2C,MEF2D,MEIS1,MEIS1(var.2),MEIS2,MEIS2(var.2),MEIS3,MEOX1,MEOX2,MGA,MITF,mix-a,MIXL1,MLX,Mlxip,MLXIPL,MNT,MNX1,MSANTD3,MSC,MSGN1,MSX1,MSX2,Msx3,MTF1,MXI1,MYB,MYBL1,MYBL2,MYC,MYCN,MYF5,MYF6,MYOD1,MYOG,MZF1,MZF1(var.2),NEUROD1,NEUROD2,NEUROG1,NEUROG2,NEUROG2(var.2),NFAT5,NFATC1,NFATC2,NFATC3,NFATC4,NFE2,NFE2L1,Nfe2l2,NFIA,NFIB,NFIC,NFIC::TLX1,NFIC(var.2),NFIL3,NFIX,NFIX(var.2),NFKB1,NFKB2,NFYA,NFYB,NFYC,NHLH1,NHLH2,NKX2-2,NKX2-3,NKX2-5,Nkx2-5(var.2),NKX2-8,Nkx3-1,Nkx3-2,NKX6-1,NKX6-2,NKX6-3,Nobox,NOTO,Npas2,NR1D1,NR1D2,NR1H2::RXRA,Nr1h3::Rxra,NR1H4,NR1H4::RXRA,NR1I2,NR1I3,NR2C1,NR2C2,NR2C2(var.2),Nr2e1,Nr2e3,NR2F1,NR2F1(var.2),NR2F1(var.3),NR2F2,Nr2f6,Nr2f6(var.2),NR2F6(var.3),NR3C1,NR3C2,NR4A1,NR4A2,NR4A2::RXRA,NR5A1,Nr5a2,NR6A1,NRF1,NRL,OLIG1,OLIG2,OLIG3,ONECUT1,ONECUT2,ONECUT3,OSR1,OSR2,OTX1,OTX2,OVOL1,OVOL2,PAX1,Pax2,PAX3,PAX3(var.2),PAX4,PAX5,PAX6,PAX7,PAX9,PBX1,PBX2,PBX3,PDX1,PHOX2A,PHOX2B,PITX1,PITX2,PITX3,PKNOX1,PKNOX2,PLAG1,Plagl1,PLAGL2,POU1F1,POU2F1,POU2F2,POU2F3,POU3F1,POU3F2,POU3F3,POU3F4,POU4F1,POU4F2,POU4F3,POU5F1,POU5F1B,Pou5f1::Sox2,POU6F1,POU6F1(var.2),POU6F2,PPARA::RXRA,PPARD,PPARG,Pparg::Rxra,PRDM1,Prdm15,PRDM4,PROP1,PROX1,PRRX1,PRRX2,Ptf1a,Ptf1a(var.2),Ptf1a(var.3),RARA,RARA::RXRA,RARA::RXRG,RARA(var.2),Rarb,Rarb(var.2),RARB(var.3),Rarg,Rarg(var.2),RARG(var.3),RAX,RAX2,RBPJ,Rbpjl,REL,RELA,RELB,REST,RFX1,RFX2,RFX3,RFX4,RFX5,RFX7,Rhox11,RHOXF1,RORA,RORA(var.2),RORB,RORC,RREB1,RUNX1,RUNX2,RUNX3,Rxra,RXRA::VDR,RXRB,RXRB(var.2),RXRG,RXRG(var.2),SCRT1,SCRT2,SHOX,Shox2,SIX1,SIX2,Six3,Smad2::Smad3,SMAD2::SMAD3::SMAD4,SMAD3,Smad4,SMAD5,SNAI1,SNAI2,SNAI3,SOHLH2,Sox1,SOX10,Sox11,SOX12,SOX13,SOX14,SOX15,Sox17,SOX18,SOX2,SOX21,Sox3,SOX4,Sox5,Sox6,SOX8,SOX9,SP1,SP2,SP3,SP4,SP8,SP9,SPDEF,SPI1,SPIB,SPIC,Spz1,SREBF1,SREBF1(var.2),SREBF2,SREBF2(var.2),SRF,SRY,STAT1,STAT1::STAT2,Stat2,STAT3,Stat4,Stat5a,Stat5a::Stat5b,Stat5b,Stat6,TAL1::TCF3,TBP,TBR1,TBX1,TBX15,TBX18,TBX19,TBX2,TBX20,TBX21,TBX3,TBX4,TBX5,TBX6,TBXT,Tcf12,TCF12(var.2),Tcf21,TCF21(var.2),TCF3,TCF4,TCF7,TCF7L1,TCF7L2,TCFL5,TEAD1,TEAD2,TEAD3,TEAD4,TEF,TFAP2A,TFAP2A(var.2),TFAP2A(var.3),TFAP2B,TFAP2B(var.2),TFAP2B(var.3),TFAP2C,TFAP2C(var.2),TFAP2C(var.3),TFAP2E,TFAP4,TFAP4(var.2),TFCP2,TFDP1,TFE3,TFEB,TFEC,TGIF1,TGIF2,TGIF2LX,TGIF2LY,THAP1,THAP11,THRB,THRB(var.2),THRB(var.3),TLX2,TP53,TP63,TP73,TWIST1,Twist2,UNCX,USF1,USF2,VAX1,VAX2,VDR,VENTX,VEZF1,VSX1,VSX2,Wt1,XBP1,YY1,YY2,ZBED1,ZBTB12,ZBTB14,ZBTB18,ZBTB26,ZBTB32,ZBTB33,ZBTB6,ZBTB7A,ZBTB7B,ZBTB7C,ZEB1,ZFP42,ZFP57,Zfx,ZIC1,Zic1::Zic2,Zic2,ZIC3,ZIC4,ZIC5,ZKSCAN1,ZKSCAN5,ZNF135,ZNF136,ZNF140,ZNF143,ZNF148,ZNF16,ZNF24,ZNF263,ZNF274,Znf281,ZNF282,ZNF317,ZNF341,ZNF354C,ZNF382,ZNF384,ZNF410,Znf423,ZNF449,ZNF460,ZNF528,ZNF652,ZNF682,ZNF684,ZNF740,ZNF75D,ZSCAN29,ZSCAN4\
longLabel JASPAR CORE 2020 - Predicted Transcription Factor Binding Sites\
motifPwmTable hgFixed.jasparVertebrates2020\
parent jaspar off\
priority 3\
shortLabel JASPAR 2020 TFBS\
track jaspar2020\
type bigBed 6 +\
visibility hide\
wgEncodeHaibMethyl450K562SitesRep1 K562 bed 9 K562 Methylation 450K Bead Array from ENCODE/HAIB 1 3 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel K562\
subGroups cellType=t1K562 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450K562SitesRep1\
type bed 9\
wgEncodeUwAffyExonArrayK562SimpleSignalRep2 K562 2 broadPeak K562 Exon array Signal Rep 2 from ENCODE/UW 0 3 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray on\
shortLabel K562 2\
subGroups cellType=t1K562 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayK562SimpleSignalRep2\
type broadPeak\
wgEncodeBroadHmmK562HMM K562 ChromHMM bed 9 . K562 Chromatin State Segmentation by HMM from ENCODE/Broad 0 3 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel K562 ChromHMM\
subGroups cellType=t1K562\
track wgEncodeBroadHmmK562HMM\
type bed 9 .\
wgEncodeAwgDnaseUwdukeK562UniPk K562 DNase narrowPeak K562 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 3 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel K562 DNase\
subGroups tier=a10 cellType=a10K562\
track wgEncodeAwgDnaseUwdukeK562UniPk\
wgEncodeUchicagoTfbsK562Egata2ControlPk K562 GATA2/GFP Pk narrowPeak K562 GATA2 GFP-tag TFBS Peaks from ENCODE/UChicago 3 3 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 GATA2 GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 GATA2/GFP Pk\
subGroups view=Peaks factor=GATA2 cellType=K562 control=ControlGATA2 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Egata2ControlPk\
type narrowPeak\
wgEncodeSydhHistoneK562H3k4me3bUcdPk K562 H3K4me3 narrowPeak K562 H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 3 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel K562 H3K4me3\
subGroups view=Peaks factor=H3K04ME3B cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k4me3bUcdPk\
type narrowPeak\
wgEncodeSydhRnaSeqK562Ifna6hPolyaAln K562 pA+ Na6h bam K562 polyA+ IFNa6h RNA-seq Alignments from ENCODE/SYDH 0 3 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polyA+ IFNa6h RNA-seq Alignments from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewAlignments off\
shortLabel K562 pA+ Na6h\
subGroups view=Alignments cellType=t1K562 rnaExtract=polyA treatment=IFNa6h\
track wgEncodeSydhRnaSeqK562Ifna6hPolyaAln\
type bam\
wgEncodeUmassDekker5CK562PkV2 K562 Pk bed 12 K562 5C Peaks from ENCODE/UMass-Dekker 0 3 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 5C Peaks from ENCODE/UMass-Dekker\
parent wgEncodeUmassDekker5C\
shortLabel K562 Pk\
subGroups cellType=t1K562 region=NONE\
track wgEncodeUmassDekker5CK562PkV2\
type bed 12\
wgEncodeGisChiaPetK562Pol2InteractionsRep1 K562 Pol2 Int 1 bed 12 K562 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 3 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions on\
shortLabel K562 Pol2 Int 1\
subGroups view=Interactions factor=POL2 cellType=t1K562 rep=rep1\
track wgEncodeGisChiaPetK562Pol2InteractionsRep1\
type bed 12\
wgEncodeUwDgfK562Sig K562 Sig bigWig 1.000000 70530.000000 K562 DNaseI DGF Per-base Signal from ENCODE/UW 2 3 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal on\
shortLabel K562 Sig\
subGroups view=Signal cellType=t1K562 treatment=aNONE rep=rep1\
track wgEncodeUwDgfK562Sig\
type bigWig 1.000000 70530.000000\
wgEncodeOpenChromSynthK562Pk K562 Syn Pk bed 9 + K562 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 3 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth\
shortLabel K562 Syn Pk\
subGroups cellType=t1K562 treatment=aNone\
track wgEncodeOpenChromSynthK562Pk\
type bed 9 +\
pgKb1Illum KB1 Illumina pgSnp KB1 Genome Variants, Illumina 23.2X 3 3 0 0 0 127 127 127 0 0 0 varRep 1 longLabel KB1 Genome Variants, Illumina 23.2X\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel KB1 Illumina\
subGroups view=A_PSU id=AA_KB1 type=SNP\
track pgKb1Illum\
phyloP46wayPlacental Mammal Cons wig -13.80 2.94 Placental Mammal Basewise Conservation by PhyloP 2 3 25 25 95 95 25 25 0 0 0 compGeno 0 altColor 95,25,25\
autoScale off\
color 25,25,95\
configurable on\
logoMaf multiz46way\
longLabel Placental Mammal Basewise Conservation by PhyloP\
maxHeightPixels 100:50:11\
noInherit on\
parent cons46wayViewphyloP on\
priority 3\
shortLabel Mammal Cons\
spanList 1\
subGroups view=phyloP clade=mammal\
track phyloP46wayPlacental\
type wig -13.80 2.94\
viewLimits -4:4\
windowingFunction mean\
MaxAFmutG MaxAF Mutation: G bigWig -1.29334 0.75731 BayesDel v1 Score (MaxAF): Mutation is G 2 3 96 182 183 175 218 219 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 bigDataUrl /gbdb/hg19/bayesDel/MaxAFBayesDelMutG.bw\
color 96, 182, 183\
html predictionScoresSuper\
longLabel BayesDel v1 Score (MaxAF): Mutation is G\
maxHeightPixels 128:20:8\
parent bayesDel on\
shortLabel MaxAF Mutation: G\
track MaxAFmutG\
type bigWig -1.29334 0.75731\
visibility full\
windowingFunction mean+whiskers\
ucsfMedipSeqBrainCpG MeDIP CpG bigWig 1 298 MeDIP-seq CpG Score 2 3 100 0 0 200 100 0 0 0 0 regulation 0 altColor 200,100,0\
autoScale on\
color 100,0,0\
configurable on\
longLabel MeDIP-seq CpG Score\
maxHeightPixels 128:32:16\
noInherit on\
parent ucsfBrainMethylViewCG\
priority 9\
shortLabel MeDIP CpG\
subGroups view=CG sampleType=Brain assayType=MeDIP2\
track ucsfMedipSeqBrainCpG\
type bigWig 1 298\
yLineOnOff on\
dbSnp155Mult Mult. dbSNP(155) bigDbSnp Short Genetic Variants from dbSNP Release 155 that Map to Multiple Genomic Loci 1 3 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp155Mult.bb\
defaultGeneTracks knownGene\
longLabel Short Genetic Variants from dbSNP Release 155 that Map to Multiple Genomic Loci\
parent dbSnp155ViewVariants off\
priority 3\
shortLabel Mult. dbSNP(155)\
subGroups view=variants\
track dbSnp155Mult\
mtrG Mutation: G bigWig MTR Score: Mutation is G 2 3 124 39 175 189 147 215 0 0 0 phenDis 0 bigDataUrl /gbdb/hg19/mtr/g.bw\
longLabel MTR Score: Mutation is G\
maxHeightPixels 128:40:8\
parent mtrScores on\
shortLabel Mutation: G\
track mtrG\
type bigWig\
visibility full\
revelG Mutation: G bigWig REVEL: Mutation is G 1 3 150 80 200 202 167 227 0 0 0 phenDis 0 bigDataUrl /gbdb/hg19/revel/g.bw\
longLabel REVEL: Mutation is G\
maxHeightPixels 128:20:8\
maxWindowToDraw 10000000\
maxWindowToQuery 500000\
mouseOverFunction noAverage\
parent revel on\
shortLabel Mutation: G\
track revelG\
type bigWig\
viewLimits 0:1.0\
viewLimitsMax 0:1.0\
visibility dense\
caddG Mutation: G bigWig CADD 1.6 Score: Mutation is G 1 3 100 130 160 177 192 207 0 0 0 phenDis 0 bigDataUrl /gbdb/hg19/cadd/g.bw\
longLabel CADD 1.6 Score: Mutation is G\
maxHeightPixels 128:20:8\
parent cadd on\
shortLabel Mutation: G\
track caddG\
type bigWig\
viewLimits 10:50\
viewLimitsMax 0:100\
visibility dense\
platinumNA12878 NA12878 vcfTabix Platinum genome variant NA12878 3 3 0 0 0 127 127 127 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 1 bigDataUrl /gbdb/hg19/platinumGenomes/NA12878.vcf.gz\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX\
configureByPopup off\
group varRep\
longLabel Platinum genome variant NA12878\
maxWindowToDraw 200000\
parent platinumGenomes\
shortLabel NA12878\
showHardyWeinberg on\
track platinumNA12878\
type vcfTabix\
vcfDoFilter off\
vcfDoMaf off\
visibility pack\
getRmNgsDeadZone NCBI NGS Dead Zone bigBed 3 + NCBI GeT-RM NGS Dead Zone 1 3 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/deadZone.bb\
longLabel NCBI GeT-RM NGS Dead Zone\
parent problematic\
priority 3\
shortLabel NCBI NGS Dead Zone\
track getRmNgsDeadZone\
type bigBed 3 +\
visibility dense\
numtSMitochondrion NumtS on mitochon bed 6 . Human NumtS on Mitochondrion 0 3 0 60 120 127 157 187 1 0 0
Description and display conventions
\
\
NumtS (Nuclear mitochondrial sequences) are mitochondrial fragments inserted in nuclear genomic sequences. The most credited hypothesis concerning their generation suggests that in presence of mutagenic agents or under stress conditions fragments of mtDNA escape from mitochondria, reach the nucleus and insert into chromosomes during break repair, although NumtS can derive from duplication of genomic fragments. NumtS may be cause of contamination during human mtDNA sequencing and hence frequent false low heteroplasmic evidences have been reported.\
The Bioinformatics group chaired by M.Attimonelli (Bari, Italy) has produced the RHNumtS compilation annotating more than 500 Human NumtS. To allow the scientific community to access to the compilation and to perform genomics comparative analyses inclusive of the NumtS data, the group has designed the Human NumtS tracks below described.\
\
\
\
The NumtS tracks show the High Score Pairs (HSPs) obtained by aligning the mitochondrial reference genome (NC_012920) with the hg18 release of the human genome.\
\
\
"NumtS (Nuclear mitochondrial Sequences)" Track\
\
The "NumtS mitochondrial sequences" track shows the mapping of the HSPs returned by BlastN on the nuclear genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the mitochondrial mapping is provided, thus allowing a fast cross among the NumtS genomic contexts.\
\
\
\
"NumtS assembled" Track\
\
The "NumtS assembled" track shows items obtained by assembling HSPs annotated in the "NumtS" track fulfilling the following conditions:\
\
the orientation of their alignments must be concordant.
\
the distance between them must be less than 2 kb, on the mitochondrial genome as well as on the nuclear genome.
\
\
\
Exceptions for the second condition arise when a long repetitive element is present between two HSPs.\
\
\
\
"NumtS on mitochondrion" Track\
\
The "NumtS on mitochondrion" track shows the mapping of the HSPs on the mitochondrial genome. The shading of the items reflects the similarity returned by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every item, a link pointing to the nuclear mapping is provided.\
\
\
"NumtS on mitochondrion with chromosome placement" Track\
\
The "NumtS on mitochondrion with chromosome placement" shows the mapping of the HSPs on the mitochondrial genome, but the items are coloured according to the colours assigned to each human chromosome on the UCSC genome browser. No shading is here provided. For every item, a link pointing to the nuclear mapping is provided.\
\
\
\
Methods
\
\
NumtS mappings were obtained by running Blast2seq (program: BlastN) between each chromosome of of the Human Genome hg18 build and the human mitochondrial reference sequence (rCRS, AC: NC_012920), fixing the e-value threshold to 1e-03. The assembling of the HSPs was performed with spreadsheet interpolation and manual inspection.\
\
\
Verification
\
\
NumtS predicted in silico were validated by carrying out PCR amplification and sequencing on blood-extracted DNA of a healthy individual of European origin. PCR amplification was successful for 275 NumtS and provided amplicons of the expected length. All PCR fragments were sequenced on both strands, and submitted to the EMBL databank.\
\
\
Furthermore, 541 NumtS were validated by merging NumtS nuclear coordinates with HapMap annotations. Our analysis has been carried on eight HapMap individuals (NA18517, NA18507, NA18956, NA19240, NA18555, NA12878, NA19129, NA12156). For each sample, clones with a single best concordant placement (according to the fosmid end-sequence-pair analysis described in Kidd et al., 2008), have been considered. The analysis showed that 541 NumtS (at least 30bp for each one) had been sequenced in such samples.\
\
\
Credits
\
\
These data were provided by Domenico Simone and Marcella Attimonelli at Department of Biochemistry and Molecular Biology "Ernesto Quagliariello" (University of Bari, Italy). Primer designing was carried out by Francesco Calabrese and Giuseppe Mineccia. PCR validation was carried out by Martin Lang, Domenico Simone and Giuseppe Gasparre. Merging with HapMap annotations has been performed by Domenico Simone.\
\
\
rep 1 color 0,60,120\
html numtSeq\
longLabel Human NumtS on Mitochondrion\
parent numtSeq\
priority 3\
shortLabel NumtS on mitochon\
track numtSMitochondrion\
type bed 6 .\
useScore 1\
polyASeqSitesKidneyFwd PolyA-Seq Kidney bigWig 0.220000 146019.640625 Poly(A)-tail sequencing of Kidney from Merck (Fwd strand) 2 3 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of Kidney from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Kidney\
subGroups view=Signal tissType=Kidney strand=fwd\
track polyASeqSitesKidneyFwd\
type bigWig 0.220000 146019.640625\
prsBrCancer PRS-E Breast Cancer bigBed 8 + Polygenic Risk Scores eMERGE: Breast Cancer 1 3 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/prsEmerge/breast_cancer.bb\
longLabel Polygenic Risk Scores eMERGE: Breast Cancer\
parent prsEmerge pack\
shortLabel PRS-E Breast Cancer\
track prsBrCancer\
type bigBed 8 +\
wgEncodeGencodePseudoGeneV7 Pseudogenes genePred Pseudogene Annotation Set from ENCODE/GENCODE Version 7 2 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from ENCODE/GENCODE Version 7\
parent wgEncodeGencodeV7ViewGenes off\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV7\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV37lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 37lift37 (Ensembl 103) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 37lift37 (Ensembl 103)\
parent wgEncodeGencodeV37lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV37lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV27lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 27lift37 (Ensembl 90) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 27lift37 (Ensembl 90)\
parent wgEncodeGencodeV27lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV27lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV43lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 43lift37 (Ensembl 109) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 43lift37 (Ensembl 109)\
parent wgEncodeGencodeV43lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV43lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV14 Pseudogenes genePred Pseudogene Annotation Set from ENCODE/GENCODE Version 14 2 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from ENCODE/GENCODE Version 14\
parent wgEncodeGencodeV14ViewGenes off\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV14\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV17 Pseudogenes genePred Pseudogene Annotation Set from ENCODE/GENCODE Version 17 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from ENCODE/GENCODE Version 17\
parent wgEncodeGencodeV17ViewGenes off\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV17\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV19 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 19 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 19\
parent wgEncodeGencodeV19ViewGenes off\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV19\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV33lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 33lift37 (Ensembl 99) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 33lift37 (Ensembl 99)\
parent wgEncodeGencodeV33lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV33lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV38lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 38lift37 (Ensembl 104) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 38lift37 (Ensembl 104)\
parent wgEncodeGencodeV38lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV38lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV28lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 28lift37 (Ensembl 92) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 28lift37 (Ensembl 92)\
parent wgEncodeGencodeV28lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV28lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV44lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 44lift37 (Ensembl 110) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 44lift37 (Ensembl 110)\
parent wgEncodeGencodeV44lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV44lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV34lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 34lift37 (Ensembl 100) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 34lift37 (Ensembl 100)\
parent wgEncodeGencodeV34lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV34lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV24lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 24lift37 (Ensembl 83) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 24lift37 (Ensembl 83)\
parent wgEncodeGencodeV24lift37ViewGenes off\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV24lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV40lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 40lift37 (Ensembl 106) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 40lift37 (Ensembl 106)\
parent wgEncodeGencodeV40lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV40lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV39lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 39lift37 (Ensembl 105) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 39lift37 (Ensembl 105)\
parent wgEncodeGencodeV39lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV39lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV45lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 45lift37 (Ensembl 111) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 45lift37 (Ensembl 111)\
parent wgEncodeGencodeV45lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV45lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV35lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 35lift37 (Ensembl 101) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 35lift37 (Ensembl 101)\
parent wgEncodeGencodeV35lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV35lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV41lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 41lift37 (Ensembl 107) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 41lift37 (Ensembl 107)\
parent wgEncodeGencodeV41lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV41lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV31lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 31lift37 (Ensembl 97) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 31lift37 (Ensembl 97)\
parent wgEncodeGencodeV31lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV31lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV46lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 46lift37 (Ensembl 112) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 46lift37 (Ensembl 112)\
parent wgEncodeGencodeV46lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV46lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV36lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 36lift37 (Ensembl 102) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 36lift37 (Ensembl 102)\
parent wgEncodeGencodeV36lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV36lift37\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePseudoGeneV42lift37 Pseudogenes genePred Pseudogene Annotation Set from GENCODE Version 42lift37 (Ensembl 108) 3 3 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel Pseudogene Annotation Set from GENCODE Version 42lift37 (Ensembl 108)\
parent wgEncodeGencodeV42lift37ViewGenes on\
priority 3\
shortLabel Pseudogenes\
subGroups view=aGenes name=Pseudogenes\
track wgEncodeGencodePseudoGeneV42lift37\
trackHandler wgEncodeGencode\
type genePred\
chainHg38ReMapAxtChain ReMap + axtChain hg38 chain hg38 Lifting: NCBI ReMap alignments to hg38/GRCh38, joined by axtChain 0 3 0 0 0 127 127 127 0 0 0 map 1 chainLinearGap medium\
chainMinScore 3000\
longLabel Lifting: NCBI ReMap alignments to hg38/GRCh38, joined by axtChain\
matrix 16 91,-114,-31,-123,-114,100,-125,-31,-31,-125,100,-114,-123,-31,-114,91\
matrixHeader A, C, G, T\
otherDb hg38\
parent liftHg38\
priority 3\
shortLabel ReMap + axtChain hg38\
track chainHg38ReMapAxtChain\
type chain hg38\
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shortLabel RNA-seq MB435\
subGroups view=Alignments tissueType=MB435\
track burgeRnaSeqGemMapperAlignMB435\
gnomadGenomes10XPercentage Sample % > 10X bigWig 0 1 gnomAD Percentage of Genome Samples with at least 10X Coverage 0 3 195 0 60 225 127 157 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.genomes.coverage.depth10.bw\
color 195,0,60\
longLabel gnomAD Percentage of Genome Samples with at least 10X Coverage\
parent gnomadGenomesReadDepthPct on\
priority 3\
shortLabel Sample % > 10X\
subGroups view=gRDepth\
track gnomadGenomes10XPercentage\
gnomadExomes10XPercentage Sample % > 10X bigWig 0 1 gnomAD Percentage of Exome Samples with at least 10X Coverage 0 3 195 0 60 225 127 157 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.exomes.coverage.depth10.bw\
color 195,0,60\
longLabel gnomAD Percentage of Exome Samples with at least 10X Coverage\
parent gnomadExomesReadDepthPct on\
priority 3\
shortLabel Sample % > 10X\
subGroups view=eRDepth\
track gnomadExomes10XPercentage\
uMassBrainHistonePeaksSample Sample-specific bed5FloatScore Sample-specific Brain Histone H3K4me3 from UMMS 3 3 120 12 120 187 133 187 1 0 0 regulation 1 color 120,12,120\
longLabel Sample-specific Brain Histone H3K4me3 from UMMS\
parent uMassBrainHistoneViewPeaks\
shortLabel Sample-specific\
subGroups view=Peaks cellType=norm donor=a_pooled sex=mixed age=d_all\
track uMassBrainHistonePeaksSample\
type bed5FloatScore\
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longLabel deCODE recombination map, sex-average non-carrier\
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shortLabel Sex Avg Non-carry\
subGroups view=avg\
track decodeSexAveragedNonCarrier\
type bigWig 0.0 113.023\
bamSLSid1253 Sid1253 Sequence bam Sid1253 Sequence Reads 0 3 0 0 0 127 127 127 0 0 0 neandertal 1 longLabel Sid1253 Sequence Reads\
parent ntSeqReads\
shortLabel Sid1253 Sequence\
subGroups sample=Sid1253\
track bamSLSid1253\
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longLabel UniProt Signal Peptides\
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shortLabel Signal Peptide\
track unipLocSignal\
type bigBed 12 +\
visibility dense\
pubsMarkerSnp SNPs bed 5 SNPs in Publications 1 3 0 0 0 127 127 127 0 0 0 phenDis 1 longLabel SNPs in Publications\
parent pubs on\
priority 3\
shortLabel SNPs\
track pubsMarkerSnp\
type bed 5\
visibility dense\
giabSv Structural Variants bigBed 9 + Genome in a Bottle Structural Variants (dbVar nstd175) 3 3 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$/#VariantDetails varRep 1 bigDataUrl /gbdb/hg19/giab/structuralVariants/giabSv.bb\
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longLabel Genome in a Bottle Structural Variants (dbVar nstd175)\
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shortLabel Structural Variants\
subGroups view=sv\
track giabSv\
type bigBed 9 +\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$/#VariantDetails\
urlLabel dbVar Variant Details:\
urls dbVarUrl="$$"\
covidHgiGwasR4PvalC1 Tested COVID vars bigLolly 9 + Tested COVID risk variants from the COVID-19 HGI GWAS Analyis C1 (11085 cases, 20 studies, Rel 4: Oct 2020) 0 3 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22, varRep 1 bigDataUrl /gbdb/hg19/covidHgiGwas/covidHgiGwasR4.C1.hg19.bb\
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priority 3\
shortLabel Tested COVID vars\
track covidHgiGwasR4PvalC1\
hiSeqDepthTop1Pct Top 0.01 Depth bed 3 Top 0.01 of Read Depth Distribution 0 3 139 69 19 197 162 137 0 0 0 map 1 longLabel Top 0.01 of Read Depth Distribution\
parent hiSeqDepth\
priority 3\
shortLabel Top 0.01 Depth\
track hiSeqDepthTop1Pct\
wgEncodeAffyRnaChipViewFiltTransfrags Transfrags bed 3 RNA Subcellular Localization by Tiling Microarray from ENCODE Affymetrix/CSHL 3 3 0 0 0 127 127 127 0 0 0 expression 1 longLabel RNA Subcellular Localization by Tiling Microarray from ENCODE Affymetrix/CSHL\
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track wgEncodeAffyRnaChipViewFiltTransfrags\
view FiltTransfrags\
visibility pack\
TSS_activity_TPM TSS activity (TPM) bigWig FANTOM5: TSS activity per sample (TPM) 1 3 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
These tracks display a synthesis of evidence from different assays\
as part of the four Open Chromatin track sets.\
This track displays open chromatin regions and/or transcription factor binding\
sites identified in\
multiple cell types\
by one or more complementary methodologies: DNaseI hypersensitivity (HS)\
(Duke DNaseI HS),\
Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE)\
(UNC FAIRE),\
and chromatin immunoprecipitation (ChIP) for select regulatory factors\
(UTA TFBS).\
Each methodology was performed on the same cell type using identical growth\
conditions. (Note: Data for some or all ChIP experiments may not be available\
for all cell types). Regions that overlap between methodologies identify\
regulatory elements that are cross-validated indicating high confidence\
regions. In addition, multiple lines of evidence suggest that regions detected\
by a single assay (e.g., DNase-only or FAIRE-only) are also biologically\
relevant (Song et al., submitted).\
DNaseI HS data:\
DNaseI is an enzyme that has long been used to map general\
chromatin accessibility, and DNaseI "hypersensitivity" is a feature of active\
cis-regulatory sequences. The use of this method has led to the discovery of\
functional regulatory elements that include promoters, enhancers, silencers,\
insulators, locus control regions, and novel elements. DNaseI hypersensitivity\
signifies chromatin accessibility following binding of trans-acting factors in\
place of a canonical nucleosome.\
\
FAIRE data:\
FAIRE (Formaldehyde Assisted Isolation of Regulatory\
Elements) is a method to isolate and identify nucleosome-depleted regions of\
the genome. FAIRE was initially discovered in yeast and subsequently shown to\
identify active regulatory elements in human cells (Giresi et al.,\
2007). Similar to DNaseI HS, FAIRE appears to identify functional regulatory\
elements that include promoters, enhancers, silencers, insulators, locus\
control regions and novel elements.\
\
ChIP data:\
ChIP (Chromatin Immunoprecipitation) is a method to\
identify the specific location of proteins that are directly or indirectly\
bound to genomic DNA. By identifying the binding location of sequence-specific\
transcription factors, general transcription machinery components, and\
chromatin factors, ChIP can help in the functional annotation of the open\
chromatin regions identified by DNaseI HS mapping and FAIRE.\
\
Input data:\
As a background control experiment, the input genomic DNA sample \
that was used for ChIP was sequenced. Crosslinked chromatin\
is sheared and the crosslinks are reversed without carrying out the\
immunoprecipitation step. This sample is otherwise processed in a manner\
identical to the ChIP sample as described below. The input track is\
useful in revealing potential artifacts arising from the sequence\
alignment process such as copy number differences between the\
reference genome and the sequenced samples, as well as regions of\
poor sequence alignability.
\
\
Display Conventions and Configuration
\
This track contains multiple subtracks representing different cell types\
that display individually on the browser. Instructions for configuring tracks\
with multiple subtracks are\
here.\
To facilitate analyses, each region has been assigned an Open Chromatin Code (OC Code),\
based on the assay(s) by which it was detected, and a color, based on its level of validation\
(which was determined by the combination of its OC Code and its statistical significance):\
\
Validated, OC Code = 1:
\
\
Black:\
Regions identified as peaks by both the DNaseI HS assay and FAIRE assay. Peaks\
for DNaseI HS have DNase peak calling p-values < 0.05\
(-log10(p-value) > 1.3) and peaks for FAIRE have FAIRE\
peak calling p-values < 0.1 (-log10(p-value) > 1.0).\
\
\
\
Open Chromatin, OC Code = 2 or 3:
\
\
Blue (high significance):\
Regions not identified as peaks in both DNaseI HS and FAIRE, but for which the\
combination of peak calling p-values from these assays using Fisher's combined\
probability test results in a p-value < 0.01\
(-log10(p-value) > 2).
\
\
\
DNase, OC Code = 2:
\
\
Green (low significance):\
Regions identified by DNaseI HS as peaks (DNase peak calling p-value < 0.05\
(-log10(p-value) > 1.3))\
and not identified by FAIRE as peaks (FAIRE peak calling p-value < 0.1\
(-log10(p-value) > 1.0)),\
and with a Fisher's combined DNaseI HS and FAIRE p-value >= 0.01\
(-log10(p-value) <= 2).
\
Blue (high significance):\
see Open Chromatin above.
\
\
\
FAIRE, OC Code = 3:
\
\
Dark Red (low significance):\
Regions identified by FAIRE as peaks (FAIRE peak calling p-value < 0.1\
(-log10(p-value) > 1.0))\
and not identified by DNaseI HS as peaks (DNase peak calling p-value < 0.05\
(-log10(p-value) > 1.3)), and with a\
Fisher's combined DNaseI HS and FAIRE p-value >= 0.01\
(-log10(p-value) <= 2).
\
Blue (high significance):\
see Open Chromatin above.
\
\
\
ChIP-seq, OC Code = 4:
\
\
Pink:\
Regions identified by ChIP-seq as peaks (at least one of the peak calling p-values for\
the three ChIP experiments are < 0.05 (-log10(p-value) > 1.3))\
indicating binding sites for one\
or more of RNA Pol II, CTCF, and c-Myc described here and not identified by DNaseI HS\
or FAIRE as peaks. Peaks for ChIP-seq have p-values < 0.05\
(-log10(p-value) > 1.3). For RNA Pol II, only sites that\
overlap annotated transcription start sites by the UCSC Genes track are considered.\
\
\
\
\
All signal values, -log10(p-values), and the OC Code are\
displayed on the detail page for each element and are available in the\
corresponding bed file.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
\
Methods
\
For each site, the maximum F-Seq Density Signal value has been calculated\
for each assay that was performed in that cell type. F-Seq employs Parzen\
kernel density estimation to create base pair scores (Boyle et al., 2008b).\
Significant regions, or peaks, were determined by fitting the data to a gamma\
distribution to calculate p-values. Contiguous regions where p-values were\
below a 0.05 (DNaseI HS, ChIP) or 0.1 (FAIRE) threshold were considered\
significant. See assay specific description pages \
(Duke DNaseI HS,\
UNC FAIRE and\
UTA TFBS)\
for more details.\
\
A Fisher's Combined P-value for DNaseI HS and FAIRE was calculated using\
Fisher's combined probability test. First, a test statistic is calculated\
using the formula:
\
\
X2 = -2∑loge(pi)
\
\
where pi are the p-values calculated for DNaseI HS\
and FAIRE. X2 follows a chi-squared distribution,\
thus a combined p-value can be assigned to this test statistic.\
\
Enhancer and Insulator Functional assays: A subset of DNaseI and FAIRE\
regions were cloned into functional tissue culture reporter assays to test for\
enhancer and insulator activity. Coordinates and results from these\
experiments can be found\
here.\
\
\
Release Notes
\
\
This is release 2 (Feb 2012) of this track and is based upon these three \
Open Chromatin tracks:\
Duke DNaseI HS,\
UNC FAIRE,\
and\
UTA TFBS.\
\
Release 2 brings in synthesis analysis for 10 samples: \
Gliobla, GM12891, GM12892, GM18507, GM19239, HeLa-S3/IFNa4h, HTR8svn, Medullo, PanIslets, Urothelia. \
\
\
Credits
\
\
These data and annotations were created by a collaboration of multiple\
institutions (contact:\
\
Terry Furey):\
\
\
Data users may freely use ENCODE data, but may not, without prior consent,\
submit publications that use an unpublished ENCODE dataset until nine months\
following the release of the dataset. This date is listed in the Restricted\
Until column on the track configuration page and the download page. The\
full data release policy for ENCODE is available here.\
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type netAlign criGri1 chainCriGri1\
phyloP100wayAll 100 Vert. Cons wig -20 7.532 100 vertebrates Basewise Conservation by PhyloP 2 4 60 60 140 140 60 60 0 0 0 compGeno 0 altColor 140,60,60\
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wgEncodeGencode2wayConsPseudoV7 2-way Pseudogenes genePred 2-way Pseudogene Annotation Set from ENCODE/GENCODE Version 7 0 4 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
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track wgEncodeGencode2wayConsPseudoV7\
trackHandler wgEncodeGencode\
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wgEncodeGencode2wayConsPseudoV14 2-way Pseudogenes genePred 2-way Pseudogene Annotation Set from ENCODE/GENCODE Version 14 0 4 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel 2-way Pseudogene Annotation Set from ENCODE/GENCODE Version 14\
parent wgEncodeGencodeV14View2Way off\
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subGroups view=b2-way name=yTwo-way\
track wgEncodeGencode2wayConsPseudoV14\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencode2wayConsPseudoV17 2-way Pseudogenes genePred 2-way Pseudogene Annotation Set from ENCODE/GENCODE Version 17 0 4 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
longLabel 2-way Pseudogene Annotation Set from ENCODE/GENCODE Version 17\
parent wgEncodeGencodeV17View2Way off\
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shortLabel 2-way Pseudogenes\
subGroups view=b2-way name=yTwo-way\
track wgEncodeGencode2wayConsPseudoV17\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencode2wayConsPseudoV19 2-way Pseudogenes genePred 2-way Pseudogene Annotation Set from GENCODE Version 19 0 4 255 51 255 255 153 255 0 0 0 genes 1 color 255,51,255\
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parent wgEncodeGencodeV19View2Way off\
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shortLabel 2-way Pseudogenes\
subGroups view=b2-way name=yTwo-way\
track wgEncodeGencode2wayConsPseudoV19\
trackHandler wgEncodeGencode\
type genePred\
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track wgEncodeHaibRnaSeqA549Dex100nmAlnRep2\
type bam\
wgEncodeHaibMethyl450A549Etoh02SitesRep1 A549 ETOH bed 9 A549 EtOH Methylation 450K Bead Array from ENCODE/HAIB 1 4 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 EtOH Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel A549 ETOH\
subGroups cellType=t2A549 obtainedBy=HAIB treatment=ETOH02\
track wgEncodeHaibMethyl450A549Etoh02SitesRep1\
type bed 9\
snpArrayAffy250Nsp Affy 250KNsp bed 6 + Affymetrix GeneChip Human Mapping 250K Nsp 0 4 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Affymetrix GeneChip Human Mapping 250K Nsp\
parent genotypeArrays off\
priority 4\
shortLabel Affy 250KNsp\
track snpArrayAffy250Nsp\
type bed 6 +\
affyU95 Affy U95 psl . Alignments of Affymetrix Consensus/Exemplars from HG-U95 0 4 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows the location of the consensus and exemplar sequences used \
for the selection of probes on the Affymetrix HG-U95Av2 chip. For this chip, \
probes are predominantly designed from consensus sequences.
\
\
Methods
\
\
Consensus and exemplar sequences were downloaded from the\
Affymetrix Product Support\
and mapped to the genome using blat followed by pslReps with the \
parameters:
-minCover=0.3 -minAli=0.95 -nearTop=0.005\
\
\
Credits
\
\
Thanks to Affymetrix for the data underlying this track.
\
expression 1 group expression\
html ../affyU95\
longLabel Alignments of Affymetrix Consensus/Exemplars from HG-U95\
parent affyArchive\
priority 4\
shortLabel Affy U95\
track affyU95\
type psl .\
visibility hide\
covidHgiGwasR4PvalC2 All COVID vars bigLolly 9 + COVID risk variants from the COVID-19 HGI GWAS Analysis C2 (17965 cases, 33 studies, Rel 4: Oct 2020) 0 4 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22, varRep 1 bigDataUrl /gbdb/hg19/covidHgiGwas/covidHgiGwasR4.C2.hg19.bb\
longLabel COVID risk variants from the COVID-19 HGI GWAS Analysis C2 (17965 cases, 33 studies, Rel 4: Oct 2020)\
parent covidHgiGwasR4Pval on\
priority 4\
shortLabel All COVID vars\
track covidHgiGwasR4PvalC2\
dbSnp153 All dbSNP(153) bigDbSnp All Short Genetic Variants from dbSNP Release 153 1 4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp153.bb\
defaultGeneTracks knownGene\
longLabel All Short Genetic Variants from dbSNP Release 153\
maxWindowToDraw 1000000\
parent dbSnp153ViewVariants off\
priority 4\
shortLabel All dbSNP(153)\
subGroups view=variants\
track dbSnp153\
dbSnp155 All dbSNP(155) bigDbSnp All Short Genetic Variants from dbSNP Release 155 1 4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp155.bb\
defaultGeneTracks knownGene\
longLabel All Short Genetic Variants from dbSNP Release 155\
maxWindowToDraw 1000000\
parent dbSnp155ViewVariants off\
priority 4\
shortLabel All dbSNP(155)\
subGroups view=variants\
track dbSnp155\
AorticSmoothMuscleCellResponseToFGF200hr00minBiolRep2LK2_CNhs13358_ctss_rev AorticSmsToFgf2_00hr00minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr00min, biol_rep2 (LK2)_CNhs13358_12740-135I4_reverse 0 4 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12740-135I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr00min%2c%20biol_rep2%20%28LK2%29.CNhs13358.12740-135I4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr00min, biol_rep2 (LK2)_CNhs13358_12740-135I4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12740-135I4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr00minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr00minBiolRep2LK2_CNhs13358_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12740-135I4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr00minBiolRep2LK2_CNhs13358_tpm_rev AorticSmsToFgf2_00hr00minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr00min, biol_rep2 (LK2)_CNhs13358_12740-135I4_reverse 1 4 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12740-135I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr00min%2c%20biol_rep2%20%28LK2%29.CNhs13358.12740-135I4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr00min, biol_rep2 (LK2)_CNhs13358_12740-135I4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12740-135I4 sequence_tech=hCAGE\
parent TSS_activity_TPM on\
shortLabel AorticSmsToFgf2_00hr00minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr00minBiolRep2LK2_CNhs13358_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12740-135I4\
urlLabel FANTOM5 Details:\
gtexEqtlTissueArteryAorta arteryAorta bed 9 + Expression QTL in Artery_Aorta from GTEx V6 0 4 139 28 98 197 141 176 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 139,28,98\
idInUrlSql select gene from gtexEqtlTissueArteryAorta where name='%s'\
longLabel Expression QTL in Artery_Aorta from GTEx V6\
parent gtexEqtlTissue on\
shortLabel arteryAorta\
track gtexEqtlTissueArteryAorta\
iscaBenignLossCum Benign Loss bedGraph 4 ClinGen CNVs: Benign Loss Coverage 2 4 200 0 0 227 127 127 0 0 0 phenDis 0 color 200,0,0\
longLabel ClinGen CNVs: Benign Loss Coverage\
parent iscaViewTotal\
shortLabel Benign Loss\
subGroups view=cov class=ben level=sub\
track iscaBenignLossCum\
lincRNAsCTBrain_R Brain_R bed 5 + lincRNAs from brain_r 1 4 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from brain_r\
parent lincRNAsAllCellType on\
shortLabel Brain_R\
subGroups view=lincRNAsRefseqExp tissueType=brain_r\
track lincRNAsCTBrain_R\
dhcHumDerDenAncCcdsFrameshiftCodingFixed CC FrShft Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS Frameshift Coding 3 4 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS Frameshift Coding\
parent dhcHumDerDenAncCcds\
shortLabel CC FrShft Fxd\
subGroups view=Ccds subset=CcdsFrameshiftCoding freq=Fixed\
track dhcHumDerDenAncCcdsFrameshiftCodingFixed\
wgEncodeCrgMapabilityAlign50mer CRG Align 50 bigWig 0.00 1.00 Alignability of 50mers by GEM from ENCODE/CRG(Guigo) 0 4 0 100 0 127 177 127 0 0 0 map 1 color 0,100,0\
longLabel Alignability of 50mers by GEM from ENCODE/CRG(Guigo)\
origAssembly hg19\
parent wgEncodeMapabilityViewCRGMAP off\
shortLabel CRG Align 50\
subGroups view=CRGMAP win=w050 lab=CRG\
track wgEncodeCrgMapabilityAlign50mer\
type bigWig 0.00 1.00\
dbVar_common_decipher dbVar Curated DECIPHER SVs bigBed 9 + . NCBI dbVar Curated Common SVs: all populations from DECIPHER 3 4 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$ varRep 1 bigDataUrl /gbdb/hg19/bbi/dbVar/common_decipher.bb\
longLabel NCBI dbVar Curated Common SVs: all populations from DECIPHER\
parent dbVar_common on\
shortLabel dbVar Curated DECIPHER SVs\
track dbVar_common_decipher\
type bigBed 9 + .\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$\
urlLabel NCBI Variant Page:\
evoCpg Evo Cpg bed 9 . Weizmann Evolutionary CpG Islands 0 4 0 0 0 127 127 127 0 0 0
Description
\
\
Evolutionary analysis of CpG-rich regions reveals that several distinct processes generate and maintain CpG islands. One central evolutionary regime resulting in enriched CpG content is driven by low levels of DNA methylation and consequentially low rates of deamination (C → T). Another major force forming CpG islands is biased gene conversion, which stabilizes constitutively methylated CpG islands by balancing rapid deamination with G/C fixation, indirectly increasing the CpG frequency. This track classifies contiguous CpG rich regions according to their inferred evolutionary dynamics. Analysis of different epigenetic marks (DNA methylation and others) should usually be performed separately for the different evolutionary classes. \
Display Conventions
\
The track shows contiguous (100bp or more) genomic elements with CpG content greater than 3%, color-coded according to their classification of evolutionary dynamics. Green elements represent CpG islands that have low rates of C→T deamination and are typically unmethylated. Red elements represent CpG rich regions that gain G/C quickly and are in many cases constitutively methylated. Blue elements represent CpG rich loci that overlap exons (where stabilization of CpGs can be explained by indirect selective pressure on coding sequence). A probabilistic score for each CpG island indicates the specificity of the evolutionary behavior; positive values indicate hypo-deamination and negative values indicate high rates of G/C gain.The intensity of the CpG island classification score is also represented in the shade of the CpG island element (shades of green for hypodeaminated elements, and shades of red for constitutively methylated islands).\
Note: CpG islands in chromosomes X and Y and islands that cannot be aligned to other primate genomes are currently ignored.\
Methods
\
A parameter-rich evolutionary model was used to infer substitution dynamics over genomic bins of 50bp and clustering analysis identified two major types of genomic behaviors (as described in Mendelson Cohen, Kenigsberg and Tanay, Cell 2011). The distributions of evolutionary parameters in each cluster (Figure 3 in the paper) were used to compute a log-odds score for each 50bp genomic bin. Bins with CpG content higher than 3% (smoothed over 500bp) were then assembled into contiguous segments as follows:\
\
Adjacent bins from the same cluster were merged.\
Ambiguously classified bins were merged with any adjacent non-ambiguous bins. \
Bins of the same class with gaps of up to 50bp were merged. Short intervals (<200bp) at a distance less than 100bp were also merged.\
Intervals shorter than 100bp were discarded.\
All merged intervals were reclassified according to the mean log-odds score spanning the entire interval.\
\
\
The Evo CpG data of hg18 was lifted to hg19 by Weizmann Institute of Science.\
\
The raw inferred evolutionary statistics and cluster distributions are available upon request (amos.tanay@weizmann.ac.il)\
Credits
\
Thanks to \
\
Amos Tanay's lab\
at the Weizmann Institute of Science for the evolutionary model and classification scheme.\
\
compGeno 1 color 0,0,0\
group compGeno\
itemRgb on\
longLabel Weizmann Evolutionary CpG Islands\
noScoreFilter .\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
priority 4\
shortLabel Evo Cpg\
track evoCpg\
type bed 9 .\
visibility hide\
affyExonProbeExtended Extended Probes bed 10 Affymetrix Human Exon Array Extended Probes 1 4 139 69 19 197 162 137 0 0 0 expression 1 color 139,69,19\
longLabel Affymetrix Human Exon Array Extended Probes\
parent affyExonProbe off\
shortLabel Extended Probes\
subGroups view=v2Probe level=L2Extended\
track affyExonProbeExtended\
type bed 10\
unipLocExtra Extracellular bigBed 12 + UniProt Extracellular Domain 1 4 0 150 255 127 202 255 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipLocExtra.bb\
color 0,150,255\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
itemRgb off\
longLabel UniProt Extracellular Domain\
parent uniprot\
priority 4\
shortLabel Extracellular\
track unipLocExtra\
type bigBed 12 +\
visibility dense\
decodeFemale Female bigWig 0.0 90.808 deCODE recombination map, female 0 4 200 60 200 227 157 227 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 200,60,200\
configurable on\
longLabel deCODE recombination map, female\
parent femaleView\
priority 4\
shortLabel Female\
subGroups view=female\
track decodeFemale\
type bigWig 0.0 90.808\
geneHancerClusteredInteractionsDoubleElite GH Clusters (DE) bigInteract Clustered interactions of GeneHancer regulatory elements and genes (Double Elite) 3 4 0 0 0 127 127 127 0 0 0 https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerInteractionsDoubleElite.v2.hg19.bb\
longLabel Clustered interactions of GeneHancer regulatory elements and genes (Double Elite)\
parent ghClusteredInteraction on\
shortLabel GH Clusters (DE)\
subGroups set=a_ELITE view=d_I\
track geneHancerClusteredInteractionsDoubleElite\
urlLabel Interaction in GeneCards\
wgEncodeGisRnaPetGm12878CytosolPapAlnRep1V2 GM12 cyto pA+ A 1 bam GM12878 cytosol polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 4 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel GM12 cyto pA+ A 1\
subGroups view=v3Alignments cellType=aGM12878 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878CytosolPapAlnRep1V2\
type bam\
wgEncodeAwgTfbsHaibGm12878Bcl11aPcr1xUniPk GM12878 BCL11A narrowPeak GM12878 TFBS Uniform Peaks of BCL11A from ENCODE/HudsonAlpha/Analysis 1 4 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BCL11A from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BCL11A\
subGroups tier=a10 cellType=a10GM12878 factor=BCL11A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Bcl11aPcr1xUniPk\
wgEncodeOpenChromChipGm12878CtcfPkRep1 GM12878 CTCF Pk narrowPeak GM12878 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 4 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel GM12878 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CtcfPkRep1\
type narrowPeak\
wgEncodeUncBsuProtGencGm12878CytosolIngelmPepMapGcFt GM12878 Cyt PTM bigBed 12 GM12878 Cytosol InGel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 4 153 38 0 204 146 127 1 0 0 expression 1 color 153,38,0\
longLabel GM12878 Cytosol InGel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel GM12878 Cyt PTM\
subGroups view=mPepMapGcFt cellType=GM12878 localization=CYTOSOL protocol=INGEL\
track wgEncodeUncBsuProtGencGm12878CytosolIngelmPepMapGcFt\
type bigBed 12\
wgEncodeSunyRipSeqGm12878Elavl1SigRep1 GM12878 ELAVL1 1 bigWig 0.000000 53896.902344 GM12878 ELAVL1 RIP-seq Signal Rep 1 from ENCODE/SUNY 2 4 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ELAVL1 RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 ELAVL1 1\
subGroups view=Signal factor=ELAVL1 cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878Elavl1SigRep1\
type bigWig 0.000000 53896.902344\
wgEncodeBroadHistoneGm12878Ezh239875Sig GM12878 EZH2 bigWig 0.040000 20211.199219 GM12878 EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 4 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 EZH2\
subGroups view=Signal factor=EZH239875 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878Ezh239875Sig\
type bigWig 0.040000 20211.199219\
wgEncodeUwDnaseGm12878HotspotsRep2 GM12878 Ht 2 broadPeak GM12878 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 4 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot\
shortLabel GM12878 Ht 2\
subGroups view=Hot cellType=t1GM12878 rep=rep2 treatment=None\
track wgEncodeUwDnaseGm12878HotspotsRep2\
type broadPeak\
wgEncodeSunyAlbanyTilingGm12878RipinputRbpAssocRna GM12878 Input broadPeak GM12878 Input RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 4 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Input RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel GM12878 Input\
subGroups view=RbpAssocRna cellType=t1GM12878 antibody=ripInput\
track wgEncodeSunyAlbanyTilingGm12878RipinputRbpAssocRna\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsGm12878NucleusLongnonpolya GM12878 nucl pA- broadPeak GM12878 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 4 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel GM12878 nucl pA-\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=dNUCLEUS rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsGm12878NucleusLongnonpolya\
type broadPeak\
wgEncodeSunyAlbanyGeneStGm12878Pabpc1RbpAssocRnaV2 GM12878 PABPC1 broadPeak GM12878 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 4 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel GM12878 PABPC1\
subGroups cellType=t1GM12878 factor=PABPC1\
track wgEncodeSunyAlbanyGeneStGm12878Pabpc1RbpAssocRnaV2\
type broadPeak\
wgEncodeUwRepliSeqGm12878S3PctSignalRep1 GM12878 S3 1 bigWig 1.000000 100.000000 GM12878 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 4 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 S3 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqGm12878S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il200SigRep2V4 GM78 2x75 Sg 2 bigWig 0.020000 440994.250000 GM12878 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 4 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal\
shortLabel GM78 2x75 Sg 2\
subGroups view=Signal cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il200SigRep2V4\
type bigWig 0.020000 440994.250000\
wgEncodeHaibTfbsGm12878Atf2sc81188V0422111RawRep2 GM78 ATF2 V11 2 bigWig 0.142408 126.814003 GM12878 ATF2 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 4 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ATF2 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ATF2 V11 2\
subGroups view=RawSignal factor=ATF2SC81188 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Atf2sc81188V0422111RawRep2\
type bigWig 0.142408 126.814003\
wgEncodeSydhTfbsGm12878Brca1a300IggmusSig GM78 BRC1 IgM bigWig 1.000000 12366.000000 GM12878 BRCA1 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 4 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BRCA1 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 BRC1 IgM\
subGroups view=Signal factor=BRCA1A300 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Brca1a300IggmusSig\
type bigWig 1.000000 12366.000000\
wgEncodeCshlLongRnaSeqGm12878CellPamJunctions GM78 cel pA- J bed 6 + GM12878 whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 4 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 cel pA- J\
subGroups view=Junctions cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878CellPamJunctions\
type bed 6 +\
wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapPlusRawRep1 GM78 cell TAP + 1 bigWig 1.000000 1639543.000000 GM12878 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 4 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal on\
shortLabel GM78 cell TAP + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapPlusRawRep1\
type bigWig 1.000000 1639543.000000\
wgEncodeUwTfbsGm12878CtcfStdHotspotsRep2 GM78 CTCF Ht 2 broadPeak GM12878 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 4 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot on\
shortLabel GM78 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t1GM12878 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeRikenCageGm12878CytosolPamAln GM78 cyto pA- A 1 bam GM12878 cytosol polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 4 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 cyto pA- A 1\
subGroups view=Alignments cellType=t1GM12878 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPamAln\
type bam\
wgEncodeUwHistoneGm12878H3k4me3StdHotspotsRep2 GM78 H3K4M3 Ht 2 broadPeak GM12878 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 4 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdHotspotsRep2\
type broadPeak\
HInvGeneMrna H-Inv psl . H-Invitational Genes mRNA Alignments 0 4 0 100 100 127 177 177 0 0 0
Description
\
\
This track shows alignments of full-length cDNAs that were used as the basis \
of the H-Invitational Gene Database (HInv-DB). \
The HInv-DB is a human gene database containing human-curated annotation of \
41,118 full-length cDNA clones representing 21,037 cDNA clusters.\
The project was initiated in 2002 and the database became publicly\
available in April 2004.
\
\
HInv-DB entries describe the following entities:\
\
gene structures\
functions\
novel alternative splicing isoforms\
non-coding functional RNAs\
functional domains\
sub-cellular localizations\
metabolic pathways\
predictions of protein 3D structure\
mapping of SNPs and microsatellite repeat motifs in relation with orphan \
diseases\
gene expression profiling\
comparative results with mouse full-length cDNAs gene structures\
\
\
Methods
\
\
To cluster redundant cDNAs and alternative splicing variants within the H-Inv \
cDNAs, a total of 41,118 H-Inv cDNAs were mapped to the human genome using \
the mapping pipeline developed by the Japan Biological Information Research\
Center (JBIRC). The mapping yielded 40,140 cDNAs that \
were aligned against the genome using the stringent criteria of at least 95% \
identity and 90% length coverage. These 40,140 cDNAs were clustered to 20,190 \
loci, resulting in an average of 2.0 cDNAs per locus. For the remaining 978 \
unmapped cDNAs, cDNA-based clustering was applied, yielding 847 clusters. \
In total, 21,037 clusters (20,190 mapped and 847 unmapped) were identified \
and integrated into H-InvDB. H-Inv cluster IDs (e.g. HIX0000001) were\
assigned to these clusters. A representative sequence was selected from each \
cluster and used for further analyses and annotation.
\
\
A full description of the construction of the HInv-DB is contained in the \
report by the H-Inv Consortium (see References section).
\
\
Credits
\
\
The H-InvDB is hosted at the JBIRC.\
The human-curated annotations were produced during invitational annotation\
meetings held in Japan during the summer of 2002, with a follow-up\
meeting in November 2004. Participants included 158 scientists \
representing 67 institutions from 12 countries.
\
\
The full-length cDNA clones and sequences were produced by the\
Chinese National Human Genome Center (CHGC), \
the Deutsches Krebsforschungszentrum (DKFZ/MIPS), \
Helix Research Institute, Inc. (HRI), \
the Institute of Medical Science in the University of Tokyo (IMSUT), \
the Kazusa DNA Research Institute (KDRI), \
the Mammalian Gene Collection (MGC/NIH) and the\
Full-Length Long Japan (FLJ) project.
\
rna 1 color 0,100,100\
group rna\
longLabel H-Invitational Genes mRNA Alignments\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
priority 4\
shortLabel H-Inv\
track HInvGeneMrna\
type psl .\
visibility hide\
wgEncodeDukeAffyExonH1hescSimpleSignalRep1V2 H1-hESC 1 bigBed 6 + H1-hESC Exon array Signal Rep 1 from ENCODE/Duke 0 4 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel H1-hESC 1\
subGroups cellType=t1H1HESC treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonH1hescSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsH1hescHaibSitesRep2 H1-hESC 2 bed 9 + H1-hESC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 4 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel H1-hESC 2\
subGroups cellType=t1H1HESC obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsH1hescHaibSitesRep2\
type bed 9 +\
wgEncodeAwgSegmentationChromhmmH1hesc H1-hESC ChromHMM bed 9 . H1-hESC Genome Segmentation by ChromHMM from ENCODE/Analysis 0 4 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel H1-hESC ChromHMM\
subGroups tier=t1 cellType=t1H1HESC method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmH1hesc\
type bed 9 .\
wgEncodeOpenChromFaireH1hescPk H1-hESC FAIRE Pk narrowPeak H1-hESC FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 4 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks\
shortLabel H1-hESC FAIRE Pk\
subGroups view=Peaks cellType=t1H1HESC treatment=AANONE\
track wgEncodeOpenChromFaireH1hescPk\
type narrowPeak\
wgEncodeGisRnaSeqH1hescCellPapAlnRep1 H1ES cell pA+ 1 bam H1-hESC polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS 1 4 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewAlignments on\
shortLabel H1ES cell pA+ 1\
subGroups view=Alignments cellType=t1H1HESC rnaExtract=longPolyA rep=rep1 localization=cell\
track wgEncodeGisRnaSeqH1hescCellPapAlnRep1\
type bam\
wgEncodeOpenChromDnaseH1hescPk H1hESC Pk narrowPeak H1-hESC DNaseI HS Peaks from ENCODE/Duke 3 4 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks\
shortLabel H1hESC Pk\
subGroups view=Peaks cellType=t1H1HESC treatment=zNONE\
track wgEncodeOpenChromDnaseH1hescPk\
type narrowPeak\
hapmapSnpsCHD HapMap SNPs CHD bed 6 + HapMap SNPs from the CHD Population (Chinese Ancestry in Metropolitan Denver, CO, US) 0 4 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the CHD Population (Chinese Ancestry in Metropolitan Denver, CO, US)\
parent hapmapSnps\
priority 4\
shortLabel HapMap SNPs CHD\
track hapmapSnpsCHD\
wgEncodeFsuRepliChipHelas3WaveSignalRep1 HeLa-S3 1 bigWig -6.303239 1.678583 HeLa-S3 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 4 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip\
shortLabel HeLa-S3 1\
subGroups view=WaveSignal cellType=t2HELAS3 rep=rep1\
track wgEncodeFsuRepliChipHelas3WaveSignalRep1\
type bigWig -6.303239 1.678583\
wgEncodeUmassDekker5CHelas3PkV2 HeLa-S3 Pk bed 12 HeLa-S3 5C Peaks from ENCODE/UMass-Dekker 0 4 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 5C Peaks from ENCODE/UMass-Dekker\
parent wgEncodeUmassDekker5C\
shortLabel HeLa-S3 Pk\
subGroups cellType=t2HELAS3 region=NONE\
track wgEncodeUmassDekker5CHelas3PkV2\
type bed 12\
wgEncodeOpenChromSynthHelas3Ifna4hPk HeLa-S3 Syn Pk bed 9 + HeLa-S3 IFNa4h DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 4 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 IFNa4h DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel HeLa-S3 Syn Pk\
subGroups cellType=t2HELAS3 treatment=IFNA4H\
track wgEncodeOpenChromSynthHelas3Ifna4hPk\
type bed 9 +\
wgEncodeRegTxnCaltechRnaSeqHepg2R2x75Il200SigPooled HepG2 bigWig 0 65535 Transcription of HepG2 cells from ENCODE 0 4 128 255 149 191 255 202 0 0 0 regulation 1 color 128,255,149\
longLabel Transcription of HepG2 cells from ENCODE\
parent wgEncodeRegTxn\
priority 4\
shortLabel HepG2\
track wgEncodeRegTxnCaltechRnaSeqHepg2R2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeBroadHmmHepg2HMM HepG2 ChromHMM bed 9 . HepG2 Chromatin State Segmentation by HMM from ENCODE/Broad 0 4 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel HepG2 ChromHMM\
subGroups cellType=t2HEPG2\
track wgEncodeBroadHmmHepg2HMM\
type bed 9 .\
wgEncodeRegMarkH3k4me1Huvec HUVEC bigWig 0 4666 H3K4Me1 Mark (Often Found Near Regulatory Elements) on HUVEC Cells from ENCODE 0 4 128 212 255 191 233 255 0 0 0 regulation 1 color 128,212,255\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on HUVEC Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel HUVEC\
table wgEncodeBroadHistoneHuvecH3k4me1StdSig\
track wgEncodeRegMarkH3k4me1Huvec\
type bigWig 0 4666\
wgEncodeRegMarkH3k4me3Huvec HUVEC bigWig 0 7852 H3K4Me3 Mark (Often Found Near Promoters) on HUVEC Cells from ENCODE 0 4 128 212 255 191 233 255 0 0 0 regulation 1 color 128,212,255\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on HUVEC Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel HUVEC\
table wgEncodeBroadHistoneHuvecH3k4me3StdSig\
track wgEncodeRegMarkH3k4me3Huvec\
type bigWig 0 7852\
wgEncodeRegMarkH3k27acHuvec HUVEC bigWig 0 3721 H3K27Ac Mark (Often Found Near Regulatory Elements) on HUVEC Cells from ENCODE 2 4 128 212 255 191 233 255 0 0 0 regulation 1 color 128,212,255\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on HUVEC Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel HUVEC\
table wgEncodeBroadHistoneHuvecH3k27acStdSig\
track wgEncodeRegMarkH3k27acHuvec\
type bigWig 0 3721\
wgEncodeAwgDnaseUwdukeHuvecUniPk HUVEC DNase narrowPeak HUVEC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 4 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel HUVEC DNase\
subGroups tier=a20 cellType=a20HUVEC\
track wgEncodeAwgDnaseUwdukeHuvecUniPk\
xGen_Research_Probes_V2 IDT xGen V2.0 P bigBed IDT - xGen Exome Research Panel V2.0 Probes 1 4 255 176 0 255 215 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/xgen-exome-research-panel-v2-probes-hg19.bb\
color 255,176,0\
longLabel IDT - xGen Exome Research Panel V2.0 Probes\
parent exomeProbesets on\
shortLabel IDT xGen V2.0 P\
track xGen_Research_Probes_V2\
type bigBed\
visibility dense\
imr90Insitu IMR90 Hi-C hic In situ Hi-C Chromatin Structure on IMR90 0 4 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_IMR90_combined.hic\
longLabel In situ Hi-C Chromatin Structure on IMR90\
parent rao2014Hic off\
shortLabel IMR90 Hi-C\
track imr90Insitu\
type hic\
unipInterest Interest bigBed 12 + UniProt Regions of Interest 1 4 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipInterest.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
itemRgb off\
longLabel UniProt Regions of Interest\
parent uniprot\
priority 4\
shortLabel Interest\
track unipInterest\
type bigBed 12 +\
visibility dense\
jaspar2018 JASPAR 2018 TFBS bigBed 6 + JASPAR CORE 2018 - Predicted Transcription Factor Binding Sites 3 4 0 0 0 127 127 127 1 0 0 http://jaspar.genereg.net/search?q=$$&collection=all&tax_group=all&tax_id=all&type=all&class=all&family=all&version=all regulation 1 bigDataUrl /gbdb/hg19/jaspar/JASPAR2018.bb\
filterValues.name Ahr::Arnt,Alx1,ALX3,Alx4,Ar,Arid3a,Arid3b,Arid5a,Arnt,ARNT::HIF1A,Arntl,Arx,ASCL1,Ascl2,Atf1,Atf3,ATF4,ATF7,Atoh1,Bach1::Mafk,BACH2,Barhl1,BARHL2,BARX1,BATF3,BATF::JUN,Bcl6,BCL6B,Bhlha15,BHLHE22,BHLHE23,BHLHE40,BHLHE41,BSX,CDX1,CDX2,CEBPA,CEBPB,CEBPD,CEBPE,CEBPG,CENPB,CLOCK,CREB1,CREB3,CREB3L1,Creb3l2,Creb5,Crem,Crx,CTCF,CTCFL,CUX1,CUX2,DBP,Ddit3::Cebpa,Dlx1,Dlx2,Dlx3,Dlx4,DLX6,Dmbx1,DMRT3,Dux,DUX4,DUXA,E2F1,E2F2,E2F3,E2F4,E2F6,E2F7,E2F8,EBF1,EGR1,EGR2,EGR3,EGR4,EHF,ELF1,ELF3,ELF4,ELF5,ELK1,ELK3,ELK4,EMX1,EMX2,EN1,EN2,EOMES,ERF,ERG,ESR1,ESR2,Esrra,ESRRB,Esrrg,ESX1,ETS1,ETV1,ETV2,ETV3,ETV4,ETV5,ETV6,EVX1,EVX2,EWSR1-FLI1,FEV,FIGLA,FLI1,FOS,FOSB::JUN,FOSB::JUNB,FOSB::JUNB(var.2),FOS::JUN,FOS::JUNB,FOS::JUND,FOS::JUN(var.2),FOSL1,FOSL1::JUN,FOSL1::JUNB,FOSL1::JUND,FOSL1::JUND(var.2),FOSL1::JUN(var.2),FOSL2,FOSL2::JUN,FOSL2::JUNB,FOSL2::JUNB(var.2),FOSL2::JUND,FOSL2::JUND(var.2),FOSL2::JUN(var.2),FOXA1,Foxa2,FOXB1,FOXC1,FOXC2,FOXD1,FOXD2,Foxd3,FOXF2,FOXG1,FOXH1,FOXI1,Foxj2,Foxj3,FOXK1,FOXK2,FOXL1,Foxo1,FOXO3,FOXO4,FOXO6,FOXP1,FOXP2,FOXP3,Foxq1,Gabpa,Gata1,GATA1::TAL1,GATA2,GATA3,Gata4,GATA5,GATA6,GBX1,GBX2,GCM1,GCM2,Gfi1,Gfi1b,GLI2,GLIS1,GLIS2,GLIS3,Gmeb1,GMEB2,GRHL1,GRHL2,GSC,GSC2,GSX1,GSX2,Hand1::Tcf3,Hes1,Hes2,HES5,HES7,HESX1,HEY1,HEY2,Hic1,HIC2,HIF1A,HINFP,HLF,HLTF,HMBOX1,Hmx1,Hmx2,Hmx3,HNF1A,HNF1B,Hnf4a,HNF4G,HOXA10,Hoxa11,HOXA13,HOXA2,HOXA5,Hoxa9,HOXB13,HOXB2,HOXB3,Hoxb5,HOXC10,HOXC11,HOXC12,HOXC13,Hoxc9,HOXD11,HOXD12,HOXD13,Hoxd3,Hoxd8,Hoxd9,HSF1,HSF2,HSF4,Id2,ID4,INSM1,IRF1,IRF2,IRF3,IRF4,IRF5,IRF7,IRF8,IRF9,ISL2,ISX,JDP2,JDP2(var.2),JUN,JUNB,JUNB(var.2),JUND,JUND(var.2),JUN::JUNB,JUN::JUNB(var.2),JUN(var.2),Klf1,Klf12,KLF13,KLF14,KLF16,KLF4,KLF5,KLF9,LBX1,LBX2,LEF1,LHX2,Lhx3,Lhx4,LHX6,Lhx8,LHX9,LIN54,LMX1A,LMX1B,Mafb,MAFF,MAFG,MAFG::NFE2L1,MAFK,MAF::NFE2,MAX,MAX::MYC,Mecom,MEF2A,MEF2B,MEF2C,MEF2D,MEIS1,MEIS2,MEIS3,MEOX1,MEOX2,MGA,MITF,mix-a,MIXL1,MLX,Mlxip,MLXIPL,MNT,MNX1,MSC,MSX1,MSX2,Msx3,MTF1,MXI1,MYB,MYBL1,MYBL2,MYC,MYCN,MYF6,Myod1,Myog,MZF1,MZF1(var.2),NEUROD1,NEUROD2,Neurog1,NEUROG2,NFAT5,NFATC1,NFATC2,NFATC3,NFE2,Nfe2l2,NFIA,NFIC,NFIC::TLX1,NFIL3,NFIX,NFKB1,NFKB2,NFYA,NFYB,NHLH1,NKX2-3,Nkx2-5,Nkx2-5(var.2),NKX2-8,Nkx3-1,NKX3-2,NKX6-1,NKX6-2,Nobox,NOTO,Npas2,NR1A4::RXRA,NR1H2::RXRA,Nr1h3::Rxra,NR1H4,NR2C2,Nr2e1,Nr2e3,NR2F1,NR2F2,Nr2f6,Nr2f6(var.2),NR3C1,NR3C2,NR4A1,NR4A2,NR4A2::RXRA,Nr5a2,NRF1,NRL,OLIG1,OLIG2,OLIG3,ONECUT1,ONECUT2,ONECUT3,OTX1,OTX2,PAX1,Pax2,PAX3,PAX4,PAX5,Pax6,PAX7,PAX9,PBX1,PBX2,PBX3,PDX1,PHOX2A,Phox2b,Pitx1,PITX3,PKNOX1,PKNOX2,PLAG1,POU1F1,POU2F1,POU2F2,Pou2f3,POU3F1,POU3F2,POU3F3,POU3F4,POU4F1,POU4F2,POU4F3,POU5F1,POU5F1B,Pou5f1::Sox2,POU6F1,POU6F2,PPARA::RXRA,PPARG,Pparg::Rxra,PRDM1,PROP1,PROX1,PRRX1,Prrx2,RARA,RARA::RXRA,RARA::RXRG,RARA(var.2),Rarb,Rarb(var.2),Rarg,Rarg(var.2),RAX,RAX2,RBPJ,REL,RELA,RELB,REST,Rfx1,RFX2,RFX3,RFX4,RFX5,Rhox11,RHOXF1,RORA,RORA(var.2),RORB,RORC,RREB1,RUNX1,RUNX2,RUNX3,Rxra,RXRA::VDR,RXRB,RXRG,SCRT1,SCRT2,SHOX,Shox2,SIX1,SIX2,Six3,SMAD2::SMAD3::SMAD4,SMAD3,Smad4,SNAI2,Sox1,SOX10,Sox11,SOX13,SOX15,Sox17,Sox2,SOX21,Sox3,SOX4,Sox5,Sox6,SOX8,SOX9,SP1,SP2,SP3,SP4,SP8,SPDEF,SPI1,SPIB,SPIC,Spz1,SREBF1,Srebf1(var.2),SREBF2,SREBF2(var.2),SRF,SRY,STAT1,STAT1::STAT2,STAT3,Stat4,Stat5a::Stat5b,Stat6,T,TAL1::TCF3,TBP,TBR1,TBX1,TBX15,TBX19,TBX2,TBX20,TBX21,TBX4,TBX5,Tcf12,Tcf21,TCF3,TCF4,Tcf7,TCF7L1,TCF7L2,Tcfl5,TEAD1,TEAD2,TEAD3,TEAD4,TEF,TFAP2A,TFAP2A(var.2),TFAP2A(var.3),TFAP2B,TFAP2B(var.2),TFAP2B(var.3),TFAP2C,TFAP2C(var.2),TFAP2C(var.3),TFAP4,TFCP2,TFDP1,TFE3,TFEB,TFEC,TGIF1,TGIF2,THAP1,TP53,TP63,TP73,TWIST1,Twist2,UNCX,USF1,USF2,VAX1,VAX2,VDR,VENTX,VSX1,VSX2,XBP1,YY1,YY2,ZBED1,ZBTB18,ZBTB33,ZBTB7A,ZBTB7B,ZBTB7C,ZEB1,Zfx,ZIC1,ZIC3,ZIC4,ZNF143,ZNF24,ZNF263,ZNF282,ZNF354C,ZNF384,ZNF410,Znf423,ZNF740,ZSCAN4\
longLabel JASPAR CORE 2018 - Predicted Transcription Factor Binding Sites\
parent jaspar off\
priority 4\
shortLabel JASPAR 2018 TFBS\
track jaspar2018\
type bigBed 6 +\
visibility pack\
wgEncodeHaibGenotypeK562RegionsRep1 K562 1 bed 9 + K562 Copy number variants Replicate 1 from ENCODE/HAIB 0 4 0 0 0 127 127 127 0 0 0 varRep 1 longLabel K562 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype on\
shortLabel K562 1\
subGroups cellType=t1K562 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeK562RegionsRep1\
type bed 9 +\
wgEncodeGisDnaPetK562F1kAln K562 1k bam ENCODE GIS DNA PET Alignments (1k frags in K562 cells) 1 4 46 0 184 150 127 219 0 0 0 varRep 1 color 46,0,184\
longLabel ENCODE GIS DNA PET Alignments (1k frags in K562 cells)\
parent wgEncodeGisDnaPetViewAlignments off\
shortLabel K562 1k\
subGroups cellType=t1K562 fragSize=a1K\
track wgEncodeGisDnaPetK562F1kAln\
wgEncodeUncBsuProtK562CytosolSig K562 cytosol peptideMapping K562 Cytosol Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 4 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Cytosol Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel K562 cytosol\
subGroups view=Signal cellType=t1K562 localization=CYTOSOL protocol=INGEL\
track wgEncodeUncBsuProtK562CytosolSig\
type peptideMapping\
visibility full\
wgEncodeUchicagoTfbsK562Egata2ControlSig K562 GATA2/GFP Sg bigWig -3732.796387 6083.967285 K562 GATA2 GFP-tag TFBS Signal from ENCODE/UChicago 2 4 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 GATA2 GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 GATA2/GFP Sg\
subGroups view=Signal factor=GATA2 cellType=K562 control=ControlGATA2 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Egata2ControlSig\
type bigWig -3732.796387 6083.967285\
wgEncodeSydhHistoneK562H3k4me3bUcdSig K562 H3K4me3 bigWig 1.000000 8204.000000 K562 H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 4 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel K562 H3K4me3\
subGroups view=Signal factor=H3K04ME3B cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k4me3bUcdSig\
type bigWig 1.000000 8204.000000\
wgEncodeSydhRnaSeqK562Ifna6hPolyaRaw K562 pA+ Na6h bigWig 0.000000 134219.000000 K562 polyA+ IFNa6h RNA-seq Raw Signal from ENCODE/SYDH 2 4 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polyA+ IFNa6h RNA-seq Raw Signal from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewSignal on\
shortLabel K562 pA+ Na6h\
subGroups view=RawSignal cellType=t1K562 rnaExtract=polyA treatment=IFNa6h\
track wgEncodeSydhRnaSeqK562Ifna6hPolyaRaw\
type bigWig 0.000000 134219.000000\
wgEncodeGisChiaPetK562Pol2SigRep1 K562 Pol2 Sig 1 bigWig 1.000000 1903.000000 K562 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 4 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal on\
shortLabel K562 Pol2 Sig 1\
subGroups view=Signal factor=POL2 cellType=t1K562 rep=rep1\
track wgEncodeGisChiaPetK562Pol2SigRep1\
type bigWig 1.000000 1903.000000\
wgEncodeUwDgfK562Raw K562 Raw bigWig 1.000000 218367.000000 K562 DNaseI DGF Raw Signal from ENCODE/UW 0 4 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw on\
shortLabel K562 Raw\
subGroups view=zRaw cellType=t1K562 treatment=aNONE rep=rep1\
track wgEncodeUwDgfK562Raw\
type bigWig 1.000000 218367.000000\
pgKb1Indel KB1 indels pgSnp KB1 indels from 454 and Illumina 3 4 0 0 0 127 127 127 0 0 0 varRep 1 longLabel KB1 indels from 454 and Illumina\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel KB1 indels\
subGroups view=A_PSU id=AA_KB1 type=Indel\
track pgKb1Indel\
MaxAFmutT MaxAF Mutation: T bigWig -1.29334 0.75731 BayesDel v1 Score (MaxAF): Mutation is T 2 4 68 169 170 161 212 212 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
This track shows alignments between human expressed sequence tags \
(ESTs) in GenBank and the genome. ESTs are single-read sequences, \
typically about 500 bases in length, that usually represent fragments of \
transcribed genes.
\
\
NOTE: As of April, 2007, we no longer include GenBank sequences \
that contain the following URL as part of the record:\
\
http://fulllength.invitrogen.com\
\
Some of these entries are the result of alignment to pseudogenes,\
followed by "correction" of the EST to match the genomic sequence. \
It is therefore not the sequence of the actual EST and makes it appear that \
the EST is transcribed. Invitrogen no longer sells the clones.\
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for \
PSL alignment tracks. In dense display mode, the items that\
are more darkly shaded indicate matches of better quality.
\
\
The strand information (+/-) indicates the\
direction of the match between the EST and the matching\
genomic sequence. It bears no relationship to the direction\
of transcription of the RNA with which it might be associated.
\
\
The description page for this track has a filter that can be used to change \
the display mode, alter the color, and include/exclude a subset of items \
within the track. This may be helpful when many items are shown in the track \
display, especially when only some are relevant to the current task.
\
\
To use the filter:\
\
Type a term in one or more of the text boxes to filter the EST\
display. For example, to apply the filter to all ESTs expressed in a specific\
organ, type the name of the organ in the tissue box. To view the list of \
valid terms for each text box, consult the table in the Table Browser that \
corresponds to the factor on which you wish to filter. For example, the \
"tissue" table contains all the types of tissues that can be \
entered into the tissue text box. Multiple terms may be entered at once, \
separated by a space. Wildcards may also be used in the\
filter.\
If filtering on more than one value, choose the desired combination\
logic. If "and" is selected, only ESTs that match all filter \
criteria will be highlighted. If "or" is selected, ESTs that \
match any one of the filter criteria will be highlighted.\
Choose the color or display characteristic that should be used to \
highlight or include/exclude the filtered items. If "exclude" is \
chosen, the browser will not display ESTs that match the filter criteria. \
If "include" is selected, the browser will display only those \
ESTs that match the filter criteria.\
\
\
This track may also be configured to display base labeling, a feature that\
allows the user to display all bases in the aligning sequence or only those \
that differ from the genomic sequence. For more information about this option,\
click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
\
Methods
\
\
To make an EST, RNA is isolated from cells and reverse\
transcribed into cDNA. Typically, the cDNA is cloned\
into a plasmid vector and a read is taken from the 5'\
and/or 3' primer. For most — but not all — ESTs, the\
reverse transcription is primed by an oligo-dT, which\
hybridizes with the poly-A tail of mature mRNA. The\
reverse transcriptase may or may not make it to the 5'\
end of the mRNA, which may or may not be degraded.
\
\
In general, the 3' ESTs mark the end of transcription\
reasonably well, but the 5' ESTs may end at any point\
within the transcript. Some of the newer cap-selected\
libraries cover transcription start reasonably well. Before the \
cap-selection techniques\
emerged, some projects used random rather than poly-A\
priming in an attempt to retrieve sequence distant from the\
3' end. These projects were successful at this, but as\
a side effect also deposited sequences from unprocessed\
mRNA and perhaps even genomic sequences into the EST databases.\
Even outside of the random-primed projects, there is a\
degree of non-mRNA contamination. Because of this, a\
single unspliced EST should be viewed with considerable\
skepticism.
\
\
To generate this track, human ESTs from GenBank were aligned \
against the genome using blat. Note that the maximum intron length\
allowed by blat is 750,000 bases, which may eliminate some ESTs with very \
long introns that might otherwise align. When a single \
EST aligned in multiple places, the alignment having the \
highest base identity was identified. Only alignments having\
a base identity level within 0.5% of the best and at least 96% base identity \
with the genomic sequence were kept.
\
\
Credits
\
\
This track was produced at UCSC from EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide.
\
\
References
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update. Nucleic Acids Res.\
2004 Jan 1;32(Database issue):D23-6.
\
rna 1 baseColorUseSequence genbank\
group rna\
indelDoubleInsert on\
indelQueryInsert on\
intronGap 30\
longLabel Human ESTs Including Unspliced\
maxItems 300\
priority 5\
shortLabel Human ESTs\
spectrum on\
table all_est\
track est\
type psl est\
visibility hide\
wgEncodeHaibGenotypeA549RegionsRep1 A549 1 bed 9 + A549 Copy number variants Replicate 1 from ENCODE/HAIB 0 5 0 0 0 127 127 127 0 0 0 varRep 1 longLabel A549 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel A549 1\
subGroups cellType=t2A549 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeA549RegionsRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayA549SimpleSignalRep2 A549 2 broadPeak A549 Exon array Signal Rep 2 from ENCODE/UW 0 5 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel A549 2\
subGroups cellType=t2A549 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayA549SimpleSignalRep2\
type broadPeak\
encTfChipPkENCFF243NQJ A549 CEBPB narrowPeak Transcription Factor ChIP-seq Peaks of CEBPB in A549 from ENCODE 3 (ENCFF243NQJ) 1 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CEBPB in A549 from ENCODE 3 (ENCFF243NQJ)\
parent encTfChipPk off\
shortLabel A549 CEBPB\
subGroups cellType=A549 factor=CEBPB\
track encTfChipPkENCFF243NQJ\
wgEncodeHaibRnaSeqA549Dex100pmRawRep1 A549 DEX100pM 1 bigWig 0.122735 1558.979980 A549 DEX 1 hr 100 pM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 5 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 100 pM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal on\
shortLabel A549 DEX100pM 1\
subGroups view=RawSignal cellType=t2A549 treatment=DEX100PM rep=rep1\
track wgEncodeHaibRnaSeqA549Dex100pmRawRep1\
type bigWig 0.122735 1558.979980\
wgEncodeUwDgfA549Hotspots A549 Hot broadPeak A549 DNaseI DGF Hotspots from ENCODE/UW 0 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel A549 Hot\
subGroups view=Hotspots cellType=t2A549 treatment=aNONE rep=rep1\
track wgEncodeUwDgfA549Hotspots\
type broadPeak\
snpArrayAffy250Sty Affy 250KSty bed 6 + Affymetrix GeneChip Human Mapping 250K Sty 0 5 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Affymetrix GeneChip Human Mapping 250K Sty\
parent genotypeArrays off\
priority 5\
shortLabel Affy 250KSty\
track snpArrayAffy250Sty\
type bed 6 +\
affyU133 Affy U133 psl . Alignments of Affymetrix Consensus/Exemplars from HG-U133 0 5 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows the location of the consensus and exemplar sequences used \
for the selection of probes on the Affymetrix HG-U133A and HG-U133B chips.
\
\
Methods
\
\
Consensus and exemplar sequences were downloaded from the\
Affymetrix Product Support\
and mapped to the genome using blat followed by pslReps with the \
parameters:
-minCover=0.5 -minAli=0.97 -nearTop=0.005\
\
\
Credits
\
\
Thanks to Affymetrix for the data underlying this track.
\
expression 1 group expression\
html ../affyU133\
longLabel Alignments of Affymetrix Consensus/Exemplars from HG-U133\
parent affyArchive\
priority 5\
shortLabel Affy U133\
track affyU133\
type psl .\
visibility hide\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_ctss_fwd AorticSmsToFgf2_00hr15minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_forward 0 5 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep1%20%28LK4%29.CNhs13340.12643-134G6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12643-134G6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr15minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_tpm_fwd AorticSmsToFgf2_00hr15minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_forward 1 5 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep1%20%28LK4%29.CNhs13340.12643-134G6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12643-134G6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr15minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6\
urlLabel FANTOM5 Details:\
gtexEqtlTissueArteryCoronary arteryCoronary bed 9 + Expression QTL in Artery_Coronary from GTEx V6 0 5 238 106 80 246 180 167 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,106,80\
idInUrlSql select gene from gtexEqtlTissueArteryCoronary where name='%s'\
longLabel Expression QTL in Artery_Coronary from GTEx V6\
parent gtexEqtlTissue on\
shortLabel arteryCoronary\
track gtexEqtlTissueArteryCoronary\
lincRNAsCTBreast Breast bed 5 + lincRNAs from breast 1 5 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from breast\
parent lincRNAsAllCellType on\
shortLabel Breast\
subGroups view=lincRNAsRefseqExp tissueType=breast\
track lincRNAsCTBreast\
dhcHumDerDenAncCcdsFrameshiftCodingFixedDbSnp CC FrShft FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Frameshift Coding 3 5 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Frameshift Coding\
parent dhcHumDerDenAncCcds\
shortLabel CC FrShft FxS\
subGroups view=Ccds subset=CcdsFrameshiftCoding freq=FixedDbSnp\
track dhcHumDerDenAncCcdsFrameshiftCodingFixedDbSnp\
wgEncodeCrgMapabilityAlign75mer CRG Align 75 bigWig 0.00 1.00 Alignability of 75mers by GEM from ENCODE/CRG(Guigo) 0 5 0 100 0 127 177 127 0 0 0 map 1 color 0,100,0\
longLabel Alignability of 75mers by GEM from ENCODE/CRG(Guigo)\
origAssembly hg19\
parent wgEncodeMapabilityViewCRGMAP off\
shortLabel CRG Align 75\
subGroups view=CRGMAP win=w075 lab=CRG\
track wgEncodeCrgMapabilityAlign75mer\
type bigWig 0.00 1.00\
dbVar_common_european dbVar Curated European SVs bigBed 9 + . NCBI dbVar Curated Common SVs: European 3 5 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$ varRep 1 bigDataUrl /gbdb/hg19/bbi/dbVar/common_european.bb\
longLabel NCBI dbVar Curated Common SVs: European\
parent dbVar_common on\
shortLabel dbVar Curated European SVs\
track dbVar_common_european\
type bigBed 9 + .\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$\
urlLabel NCBI Variant Page:\
decodeFemaleCarrier Female Carry bigWig 0.0 77.704 deCODE recombination map, female carrier 0 5 187 102 255 221 178 255 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 187,102,255\
configurable on\
longLabel deCODE recombination map, female carrier\
parent femaleView\
priority 5\
shortLabel Female Carry\
subGroups view=female\
track decodeFemaleCarrier\
type bigWig 0.0 77.704\
affyExonProbesetFull Full PS bed 12 Affymetrix Human Exon Array Full Probesets 1 5 205 96 144 230 175 199 0 0 0 expression 1 color 205,96,144\
longLabel Affymetrix Human Exon Array Full Probesets\
parent affyExonProbeset off\
shortLabel Full PS\
subGroups view=v1Probeset level=L3Full\
track affyExonProbesetFull\
allHg19RS_BW GERP bigWig -15 7 GERP Scores for Mammalian Alignments 0 5 0 0 0 127 127 127 0 0 0
Description
\
\
Genomic Evolutionary Rate Profiling (GERP) is a method for producing\
position-specific estimates of evolutionary constraint using maximum likelihood evolutionary rate\
estimation. It also discovers "constrained elements" where multiple positions combine to give a\
signal that is indicative of a putative functional element; this track shows the position-specific\
scores only, not the element predictions.
\
\
Constraint intensity at each individual alignment\
position is quantified in terms of a "rejected substitutions" (RS) score, defined as the number of\
substitutions expected under neutrality minus the number of substitutions "observed" at the\
position. This concept was described, and a first implementation of GERP was presented, in Cooper et\
al (2005). GERP++ as described in Davydov et al (2010) uses a more rigorous set of algorithms to\
calculate site-specific RS scores and to discover evolutionarily constrained elements.
\
\
Sites are scored independently. Positive scores represent a substitution deficit (i.e., fewer\
substitutions than the average neutral site) and thus indicate that a site may be under evolutionary\
constraint. Negative scores indicate that a site is probably evolving neutrally; negative scores\
should not be interpreted as evidence of accelerated rates of evolution because of too many strong\
confounders, such as alignment uncertainty or rate variance. Positive scores scale with the level of\
constraint, such that the greater the score, the greater the level of evolutionary constraint\
inferred to be acting on that site.
\
\
We applied GERP, as implemented in the GERP++ software\
package, to quantify the level of evolutionary constraint acting on each site in hg19, based on an\
alignment of 35 mammals to hg19 with a maximum phylogenetic scope of 6.18 substitutions per neutral\
site. Gaps in the alignment are treated as missing data, which means that the number of\
substitutions per neutral site will be less than 6.18 in sites where one or more species has a gap. \
Thus, RS scores range from a maximum of 6.18 down to a below-zero minimum, which we cap at -12.36.\
RS scores will vary with alignment depth and level of sequence conservation. A score of 0 indicates\
that the alignment was too shallow at that position to get a meaningful estimate of constraint.\
Should classification into "constrained" and "unconstrained" sites be desired, a threshold may be\
chosen above which sites are considered "constrained". In practice, we find that a RS score\
threshold of 2 provides high sensitivity while still strongly enriching for truly constrained sites.\
\
\
Methods
\
\
Given a multiple sequence alignment and a phylogenetic tree with branch\
lengths representing the neutral rate between the species within that alignment, GERP++ quantifies\
constraint intensity at each individual position in terms of rejected substitutions, the difference\
between the neutral rate and the estimated evolutionary rate at the position. GERP++ begins with a\
pre-defined neutral tree relating the genomes present within the alignment that supplies both the\
total neutral rate across the entire tree and the relative length of each individual branch. For\
each alignment column, we estimate a scaling factor, applied uniformly to all branches of the tree,\
that maximizes the probability of the observed nucleotides in the alignment column. The product of\
the scaling factor and the neutral rate defines the 'observed' rate of evolution at each position.\
GERP++ uses the HKY85 model of evolution with the transition/transversion ratio set to 2.0 and\
nucleotide frequencies estimated from the multiple alignment.
\
\
To generate RS scores for\
each position in the human genome, we used GERP++ to analyze the TBA alignment of hg19 to 35 other\
mammalian species (listed here: \
http://hgdownload.soe.ucsc.edu/goldenPath/hg19/multiz46way/), spanning over 3 billion\
positions (see the description for the 'Conservation' track for details of this alignment). The\
alignment was compressed to remove gaps in the human sequence, and GERP++ scores were computed for\
every position with at least 3 ungapped species present. Importantly, the human sequence was\
removed from the alignment and not included in either the neutral rate estimation or the\
site-specific "observed" estimates, and therefore is not included in the RS score. This is\
consistent with the published work on GERP, and is done to eliminate the confounding influence of\
deleterious derived alleles segregating in the human population that are present in the reference\
sequence. The phylogenetic tree used was the generally accepted topology. Neutral branch lengths\
were estimated from 4-fold degenerate sites in the alignment.
\
\
Credits
\
\
The RS\
scores were generated by David Goode, Dept. of Genetics, Stanford University. GERP++ was developed\
by Eugene Davydov and Serafim Batzoglou, Dept. of Computer Science, Stanford University; Arend\
Sidow, Depts. of Pathology and Genetics, Stanford University; and Gregory Cooper, HudsonAlpha\
Institute for Biotechnology, Huntsville, AL.
\
compGeno 0 autoScale on\
group compGeno\
longLabel GERP Scores for Mammalian Alignments\
maxHeightPixels 128:64:20\
priority 5\
shortLabel GERP\
track allHg19RS_BW\
type bigWig -15 7\
visibility hide\
geneHancerRegElements GH Reg Elems bigBed 9 + Enhancers and promoters from GeneHancer 1 5 0 0 0 127 127 127 0 0 0 http://www.genecards.org/Search/Keyword?queryString=$$ regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerRegElementsAll.hg19.bb\
longLabel Enhancers and promoters from GeneHancer\
parent ghGeneHancer off\
shortLabel GH Reg Elems\
subGroups set=b_ALL view=a_GH\
track geneHancerRegElements\
wgEncodeGisRnaPetGm12878NucleusPapClustersRep1 GM12 nucl pA+ 1 bed 6 + GM12878 nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 5 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel GM12 nucl pA+ 1\
subGroups view=v1Clusters cellType=aGM12878 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878NucleusPapClustersRep1\
type bed 6 +\
wgEncodeAwgTfbsHaibGm12878Bcl3V0416101UniPk GM12878 BCL3 narrowPeak GM12878 TFBS Uniform Peaks of BCL3 from ENCODE/HudsonAlpha/Analysis 1 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BCL3 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BCL3\
subGroups tier=a10 cellType=a10GM12878 factor=BCL3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Bcl3V0416101UniPk\
wgEncodeOpenChromChipGm12878CtcfSig GM12878 CTCF DS bigWig 0.000000 7.630200 GM12878 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 5 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel GM12878 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CtcfSig\
type bigWig 0.000000 7.630200\
wgEncodeSunyRipSeqGm12878Elavl1SigRep2 GM12878 ELAVL1 2 bigWig 0.000000 55258.855469 GM12878 ELAVL1 RIP-seq Signal Rep 2 from ENCODE/SUNY 2 5 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ELAVL1 RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 ELAVL1 2\
subGroups view=Signal factor=ELAVL1 cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878Elavl1SigRep2\
type bigWig 0.000000 55258.855469\
wgEncodeBroadHistoneGm12878H2azStdPk GM12878 H2A.Z broadPeak GM12878 H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 5 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H2A.Z\
subGroups view=Peaks factor=H2AZ cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H2azStdPk\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsGm12878NucleusLongpolya GM12878 nucl pA+ broadPeak GM12878 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 5 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel GM12878 nucl pA+\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=dNUCLEUS rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsGm12878NucleusLongpolya\
type broadPeak\
wgEncodeUwDnaseGm12878PkRep2 GM12878 Pk 2 narrowPeak GM12878 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks\
shortLabel GM12878 Pk 2\
subGroups view=Peaks cellType=t1GM12878 rep=rep2 treatment=None\
track wgEncodeUwDnaseGm12878PkRep2\
type narrowPeak\
wgEncodeUwRepliSeqGm12878S4PctSignalRep1 GM12878 S4 1 bigWig 1.000000 100.000000 GM12878 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 5 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 S4 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqGm12878S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStGm12878SlbpRbpAssocRnaV2 GM12878 SLBP broadPeak GM12878 SLBP RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 5 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SLBP RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel GM12878 SLBP\
subGroups cellType=t1GM12878 factor=SLBP\
track wgEncodeSunyAlbanyGeneStGm12878SlbpRbpAssocRnaV2\
type broadPeak\
wgEncodeCaltechRnaSeqGm12878R2x75Il200SplicesRep1V2 GM78 2x75 Sp 1 bam GM12878 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 5 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel GM78 2x75 Sp 1\
subGroups view=Splices cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il200SplicesRep1V2\
type bam\
wgEncodeHaibTfbsGm12878Atf3Pcr1xPkRep1 GM78 ATF3 PCR1 1 broadPeak GM12878 ATF3 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ATF3 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ATF3 PCR1 1\
subGroups view=Peaks factor=ATF3 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Atf3Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Cdpsc6327IggmusPk GM78 CDP IgM narrowPeak GM12878 CDP (SC-6327) IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CDP (SC-6327) IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 CDP IgM\
subGroups view=Peaks factor=CDPSC6327 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Cdpsc6327IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaMinusRawSigRep1 GM78 cel pA- - 1 bigWig 1.000000 993820.000000 GM12878 whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 5 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig on\
shortLabel GM78 cel pA- - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaMinusRawSigRep1\
type bigWig 1.000000 993820.000000\
wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapPlusRawRep2 GM78 cell TAP + 2 bigWig 1.000000 1645247.000000 GM12878 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 5 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 cell TAP + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878CellShorttotalTapPlusRawRep2\
type bigWig 1.000000 1645247.000000\
wgEncodeUwTfbsGm12878CtcfStdPkRep2 GM78 CTCF Pk 2 narrowPeak GM12878 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks on\
shortLabel GM78 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t1GM12878 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdPkRep2\
type narrowPeak\
wgEncodeRikenCageGm12878CytosolPapTssHmm GM78 cyto pA+ bed 6 GM12878 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 5 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 cyto pA+\
subGroups view=TssHmm cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageGm12878CytosolPapTssHmm\
type bed 6\
wgEncodeUwHistoneGm12878H3k4me3StdPkRep2 GM78 H3K4M3 Pk 2 narrowPeak GM12878 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 5 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdPkRep2\
type narrowPeak\
wgEncodeDukeAffyExonH1hescSimpleSignalRep2V2 H1-hESC 2 bigBed 6 + H1-hESC Exon array Signal Rep 2 from ENCODE/Duke 0 5 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel H1-hESC 2\
subGroups cellType=t1H1HESC treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonH1hescSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUncBsuProtGencH1hescCellFasppepMapGcFt H1-hESC Ce F bigBed 12 H1-hESC FASP ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU 2 5 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC FASP ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel H1-hESC Ce F\
subGroups view=pepMapGcFt cellType=H1HESC localization=CELL protocol=FASP\
track wgEncodeUncBsuProtGencH1hescCellFasppepMapGcFt\
type bigBed 12\
wgEncodeAwgSegmentationCombinedH1hesc H1-hESC Combined bed 9 . H1-hESC Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation on\
shortLabel H1-hESC Combined\
subGroups tier=t1 cellType=t1H1HESC method=Combined\
track wgEncodeAwgSegmentationCombinedH1hesc\
type bed 9 .\
wgEncodeOpenChromFaireH1hescSig H1-hESC FAIRE DS bigWig 0.000000 0.304500 H1-hESC FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 5 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal\
shortLabel H1-hESC FAIRE DS\
subGroups view=SIG cellType=t1H1HESC treatment=AANONE\
track wgEncodeOpenChromFaireH1hescSig\
type bigWig 0.000000 0.304500\
wgEncodeGisRnaSeqH1hescCellPapMinusRawRep1 H1ES cell pA+ - 1 bigWig 1.000000 52413.000000 H1-hESC whole cell polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS 2 5 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewMinusRawSignal on\
shortLabel H1ES cell pA+ - 1\
subGroups view=MinusRawSignal cellType=t1H1HESC rnaExtract=longPolyA rep=rep1 localization=cell\
track wgEncodeGisRnaSeqH1hescCellPapMinusRawRep1\
type bigWig 1.000000 52413.000000\
wgEncodeOpenChromDnaseH1hescSig H1hESC DS bigWig 0.000000 2.243700 H1-hESC DNaseI HS Density Signal from ENCODE/Duke 2 5 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal\
shortLabel H1hESC DS\
subGroups view=SIG cellType=t1H1HESC treatment=zNONE\
track wgEncodeOpenChromDnaseH1hescSig\
type bigWig 0.000000 2.243700\
hapmapSnpsGIH HapMap SNPs GIH bed 6 + HapMap SNPs from the GIH Population (Gujarati Indians in Houston, TX, US) 0 5 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the GIH Population (Gujarati Indians in Houston, TX, US)\
parent hapmapSnps\
priority 5\
shortLabel HapMap SNPs GIH\
track hapmapSnpsGIH\
wgEncodeHaibMethyl450Helas3SitesRep1 HeLa-S3 bed 9 HeLa-S3 Methylation 450K Bead Array from ENCODE/HAIB 1 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HeLa-S3 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel HeLa-S3\
subGroups cellType=t2HELAS3 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Helas3SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwdukeHelas3UniPk HeLa-S3 DNase narrowPeak HeLa-S3 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 5 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel HeLa-S3 DNase\
subGroups tier=a20 cellType=a20HeLa-S3\
track wgEncodeAwgDnaseUwdukeHelas3UniPk\
wgEncodeOpenChromSynthHelas3Pk HeLa-S3 Syn Pk bed 9 + HeLa-S3 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HeLa-S3 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth off\
shortLabel HeLa-S3 Syn Pk\
subGroups cellType=t2HELAS3 treatment=aNone\
track wgEncodeOpenChromSynthHelas3Pk\
type bed 9 +\
wgEncodeRegTxnCaltechRnaSeqHsmmR2x75Il200SigPooled HSMM bigWig 0 65535 Transcription of HSMM cells from ENCODE 0 5 128 255 242 191 255 248 0 0 0 regulation 1 color 128,255,242\
longLabel Transcription of HSMM cells from ENCODE\
parent wgEncodeRegTxn\
priority 5\
shortLabel HSMM\
track wgEncodeRegTxnCaltechRnaSeqHsmmR2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeBroadHmmHuvecHMM HUVEC ChromHMM bed 9 . HUVEC Chromatin State Segmentation by HMM from ENCODE/Broad 0 5 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel HUVEC ChromHMM\
subGroups cellType=t2HUVEC\
track wgEncodeBroadHmmHuvecHMM\
type bed 9 .\
xGen_research_Targets_V2 IDT xGen V2.0 T bigBed IDT - xGen Exome Research Panel V2.0 Target Regions 1 5 255 176 0 255 215 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/xgen-exome-research-panel-v2-targets-hg19.bb\
color 255,176,0\
longLabel IDT - xGen Exome Research Panel V2.0 Target Regions\
parent exomeProbesets on\
shortLabel IDT xGen V2.0 T\
track xGen_research_Targets_V2\
type bigBed\
visibility dense\
wgEncodeFsuRepliChipImr90WaveSignalRep1 IMR90 1 bigWig -1.871862 1.569896 IMR90 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 5 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip\
shortLabel IMR90 1\
subGroups view=WaveSignal cellType=t2IMR90 rep=rep1\
track wgEncodeFsuRepliChipImr90WaveSignalRep1\
type bigWig -1.871862 1.569896\
wgEncodeRegMarkH3k4me1K562 K562 bigWig 0 5716 H3K4Me1 Mark (Often Found Near Regulatory Elements) on K562 Cells from ENCODE 0 5 128 128 255 191 191 255 0 0 0 regulation 1 color 128,128,255\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on K562 Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel K562\
table wgEncodeBroadHistoneK562H3k4me1StdSig\
track wgEncodeRegMarkH3k4me1K562\
type bigWig 0 5716\
wgEncodeRegMarkH3k4me3K562 K562 bigWig 0 9918 H3K4Me3 Mark (Often Found Near Promoters) on K562 Cells from ENCODE 0 5 128 128 255 191 191 255 0 0 0 regulation 1 color 128,128,255\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on K562 Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel K562\
table wgEncodeBroadHistoneK562H3k4me3StdSig\
track wgEncodeRegMarkH3k4me3K562\
type bigWig 0 9918\
wgEncodeRegMarkH3k27acK562 K562 bigWig 0 6249 H3K27Ac Mark (Often Found Near Regulatory Elements) on K562 Cells from ENCODE 2 5 128 128 255 191 191 255 0 0 0 regulation 1 color 128,128,255\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on K562 Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel K562\
table wgEncodeBroadHistoneK562H3k27acStdSig\
track wgEncodeRegMarkH3k27acK562\
type bigWig 0 6249\
wgEncodeHaibMethylRrbsK562HaibSitesRep1 K562 1 bed 9 + K562 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 5 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs on\
shortLabel K562 1\
subGroups cellType=t1K562 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsK562HaibSitesRep1\
type bed 9 +\
wgEncodeGisDnaPetK562F10kAln K562 10k bam ENCODE GIS DNA PET Alignments (10k frags in K562 cells) 1 5 46 0 184 150 127 219 0 0 0 varRep 1 color 46,0,184\
longLabel ENCODE GIS DNA PET Alignments (10k frags in K562 cells)\
parent wgEncodeGisDnaPetViewAlignments on\
shortLabel K562 10k\
subGroups cellType=t1K562 fragSize=c10K\
track wgEncodeGisDnaPetK562F10kAln\
wgEncodeSunyAlbanyTilingK562Elavl1RbpAssocRna K562 ELAVL1 broadPeak K562 ELAVL1 RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 5 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 ELAVL1 RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel K562 ELAVL1\
subGroups view=RbpAssocRna cellType=t1K562 antibody=ELAVL1\
track wgEncodeSunyAlbanyTilingK562Elavl1RbpAssocRna\
type broadPeak\
wgEncodeSydhHistoneK562H3k9acbUcdPk K562 H3K9ac narrowPeak K562 H3K9ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 5 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K9ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel K562 H3K9ac\
subGroups view=Peaks factor=H3K09acB cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k9acbUcdPk\
type narrowPeak\
wgEncodeUchicagoTfbsK562Ehdac8ControlPk K562 HDAC8/GFP Pk narrowPeak K562 HDAC8 GFP-tag TFBS Peaks from ENCODE/UChicago 3 5 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 HDAC8 GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 HDAC8/GFP Pk\
subGroups view=Peaks factor=HDAC8 cellType=K562 control=ControlHDAC8 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Ehdac8ControlPk\
type narrowPeak\
k562Insitu K562 Hi-C hic In situ Hi-C Chromatin Structure on K562 0 5 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_K562_combined.hic\
longLabel In situ Hi-C Chromatin Structure on K562\
parent rao2014Hic off\
shortLabel K562 Hi-C\
track k562Insitu\
type hic\
wgEncodeUncBsuProtK562MembranefractionSig K562 membrane peptideMapping K562 Membrane Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 5 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Membrane Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel K562 membrane\
subGroups view=Signal cellType=t1K562 localization=membraneFraction protocol=INGEL\
track wgEncodeUncBsuProtK562MembranefractionSig\
type peptideMapping\
visibility full\
wgEncodeSydhRnaSeqK562Ifng30PolyaAln K562 pA+ Ng30 bam K562 polyA+ IFNg30 RNA-seq Alignments from ENCODE/SYDH 0 5 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polyA+ IFNg30 RNA-seq Alignments from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewAlignments off\
shortLabel K562 pA+ Ng30\
subGroups view=Alignments cellType=t1K562 rnaExtract=polyA treatment=IFNg30\
track wgEncodeSydhRnaSeqK562Ifng30PolyaAln\
type bam\
wgEncodeGisChiaPetK562Pol2InteractionsRep2 K562 Pol2 Int 2 bed 12 K562 Pol2 ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan 2 5 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Pol2 ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel K562 Pol2 Int 2\
subGroups view=Interactions factor=POL2 cellType=t1K562 rep=rep2\
track wgEncodeGisChiaPetK562Pol2InteractionsRep2\
type bed 12\
dbSnp153BadCoords Map Err dbSnp(153) bigBed 4 Mappings with Inconsistent Coordinates from dbSNP 153 1 5 100 100 100 177 177 177 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp153BadCoords.bb\
color 100,100,100\
longLabel Mappings with Inconsistent Coordinates from dbSNP 153\
parent dbSnp153ViewErrs off\
priority 5\
shortLabel Map Err dbSnp(153)\
subGroups view=errs\
track dbSnp153BadCoords\
type bigBed 4\
dbSnp155BadCoords Map Err dbSnp(155) bigBed 4 Mappings with Inconsistent Coordinates from dbSNP 155 1 5 100 100 100 177 177 177 0 0 0 https://www.ncbi.nlm.nih.gov/snp/$$ varRep 1 bigDataUrl /gbdb/hg19/snp/dbSnp155BadCoords.bb\
color 100,100,100\
longLabel Mappings with Inconsistent Coordinates from dbSNP 155\
parent dbSnp155ViewErrs off\
priority 5\
shortLabel Map Err dbSnp(155)\
subGroups view=errs\
track dbSnp155BadCoords\
type bigBed 4\
pgNb1 NB1 pgSnp NB1 Genome Variants (all SNPs, 2X genome plus 16x exome) 3 5 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NB1 Genome Variants (all SNPs, 2X genome plus 16x exome)\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel NB1\
subGroups view=A_PSU id=AB_NB1 type=SNP\
track pgNb1\
getRmNgsProblemLow NCBI NGS Low Stringency bigBed 3 + NCBI GeT-RM NGS Problem List, Low Stringency 1 5 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/ngsProblemLow.bb\
longLabel NCBI GeT-RM NGS Problem List, Low Stringency\
parent problematic\
priority 5\
shortLabel NCBI NGS Low Stringency\
track getRmNgsProblemLow\
type bigBed 3 +\
visibility dense\
uMassBrainHistoneSignalS2NeuP0pt58yrsM NeuN+ 0.58yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN+ D2) Gender-male Age-0.58 2 5 0 255 0 127 255 127 0 0 0 regulation 0 color 0,255,0\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D2) Gender-male Age-0.58\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 0.58yrs M\
subGroups view=Signal donor=c_2 cellType=norm sex=male age=a_infant\
track uMassBrainHistoneSignalS2NeuP0pt58yrsM\
type bigWig\
noAFmutA No MaxAF Mutation: A bigWig -1.29334 0.75731 BayesDel v1 Score (without MaxAF): Mutation is A 0 5 240 191 112 247 223 183 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 bigDataUrl /gbdb/hg19/bayesDel/NoAFBayesDelMutA.bw\
color 240, 191, 112\
html predictionScoresSuper\
longLabel BayesDel v1 Score (without MaxAF): Mutation is A\
maxHeightPixels 128:20:8\
parent bayesDel on\
shortLabel No MaxAF Mutation: A\
track noAFmutA\
type bigWig -1.29334 0.75731\
visibility hide\
windowingFunction mean+whiskers\
bamAllNumtSSorted NumtS SNPs bam Human NumtS on Mitochondrion SNPs 3 5 0 0 0 127 127 127 0 0 1 chrM, rep 1 aliQualRange 0:255\
bamColorMode strand\
bamGrayMode aliQual\
bamSkipPrintQualScore .\
baseColorDefault diffBases\
baseColorUseSequence lfExtra\
chromosomes chrM\
configurable on\
indelDoubleInsert on\
indelQueryInsert on\
longLabel Human NumtS on Mitochondrion SNPs\
maxWindowToDraw 1000000\
noColorTag .\
pairEndsByName on\
parent numtSeq\
priority 5\
shortLabel NumtS SNPs\
showDiffBasesAllScales .\
showDiffBasesMaxZoom 100\
showNames on\
track bamAllNumtSSorted\
type bam\
visibility pack\
wgEncodeGencodePolyaV7 PolyA genePred PolyA Transcript Annotation Set from ENCODE/GENCODE Version 7 0 5 0 0 0 127 127 127 0 0 0 genes 1 color 0,0,0\
longLabel PolyA Transcript Annotation Set from ENCODE/GENCODE Version 7\
parent wgEncodeGencodeV7ViewPolya off\
priority 5\
shortLabel PolyA\
subGroups view=cPolya name=zPolyA\
track wgEncodeGencodePolyaV7\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePolyaV14 PolyA genePred PolyA Transcript Annotation Set from ENCODE/GENCODE Version 14 0 5 0 0 0 127 127 127 0 0 0 genes 1 color 0,0,0\
longLabel PolyA Transcript Annotation Set from ENCODE/GENCODE Version 14\
parent wgEncodeGencodeV14ViewPolya off\
priority 5\
shortLabel PolyA\
subGroups view=cPolya name=zPolyA\
track wgEncodeGencodePolyaV14\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePolyaV17 PolyA genePred PolyA Transcript Annotation Set from ENCODE/GENCODE Version 17 0 5 0 0 0 127 127 127 0 0 0 genes 1 color 0,0,0\
longLabel PolyA Transcript Annotation Set from ENCODE/GENCODE Version 17\
parent wgEncodeGencodeV17ViewPolya off\
priority 5\
shortLabel PolyA\
subGroups view=cPolya name=zPolyA\
track wgEncodeGencodePolyaV17\
trackHandler wgEncodeGencode\
type genePred\
wgEncodeGencodePolyaV19 PolyA genePred PolyA Transcript Annotation Set from GENCODE Version 19 0 5 0 0 0 127 127 127 0 0 0 genes 1 color 0,0,0\
longLabel PolyA Transcript Annotation Set from GENCODE Version 19\
parent wgEncodeGencodeV19ViewPolya off\
priority 5\
shortLabel PolyA\
subGroups view=cPolya name=zPolyA\
track wgEncodeGencodePolyaV19\
trackHandler wgEncodeGencode\
type genePred\
polyASeqSitesLiverFwd PolyA-Seq Liver bigWig 0.180000 63606.449219 Poly(A)-tail sequencing of Liver from Merck (Fwd strand) 2 5 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of Liver from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Liver\
subGroups view=Signal tissType=Liver strand=fwd\
track polyASeqSitesLiverFwd\
type bigWig 0.180000 63606.449219\
prsCorHeartDis PRS-E Cor Heart Dis bigBed 8 + Polygenic Risk Scores eMERGE: Coronary Heart Disease 1 5 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/prsEmerge/coronary_heart_disease.bb\
longLabel Polygenic Risk Scores eMERGE: Coronary Heart Disease\
parent prsEmerge pack\
shortLabel PRS-E Cor Heart Dis\
track prsCorHeartDis\
type bigBed 8 +\
ncbiRefSeqPsl RefSeq Alignments psl RefSeq Alignments of RNAs 1 5 0 0 0 127 127 127 0 0 0 genes 1 baseColorDefault diffCodons\
baseColorUseCds table ncbiRefSeqCds\
baseColorUseSequence extFile seqNcbiRefSeq extNcbiRefSeq\
color 0,0,0\
idXref ncbiRefSeqLink mrnaAcc name\
indelDoubleInsert on\
indelQueryInsert on\
longLabel RefSeq Alignments of RNAs\
parent refSeqComposite off\
pepTable ncbiRefSeqPepTable\
priority 5\
pslSequence no\
shortLabel RefSeq Alignments\
showCdsAllScales .\
showCdsMaxZoom 10000.0\
showDiffBasesAllScales .\
showDiffBasesMaxZoom 10000.0\
track ncbiRefSeqPsl\
type psl\
revelOverlaps REVEL overlaps bigBed 9 + REVEL: Positions with >1 score due to overlapping transcripts (mouseover for details) 1 5 150 80 200 202 167 227 0 0 0 https://www.ensembl.org/homo_sapiens/Transcript/Summary?t=$&db=core phenDis 1 bigDataUrl /gbdb/hg19/revel/overlap.bb\
extraTableFields _jsonTable|Title\
longLabel REVEL: Positions with >1 score due to overlapping transcripts (mouseover for details)\
mouseOver REVEL score=${revelScore} for transcript(s): ${transcriptId}\
mouseOverField mouseOver\
parent revel on\
shortLabel REVEL overlaps\
track revelOverlaps\
type bigBed 9 +\
url https://www.ensembl.org/homo_sapiens/Transcript/Summary?t=$&db=core\
urlLabel Link to Ensembl Transcript View\
visibility dense\
ucsfRnaSeqBrainAllCoverage RNA-seq RawSignal bigWig 1 24184 RNA-seq Raw Signal 2 5 0 0 200 100 0 0 0 0 0 regulation 0 altColor 100,0,0\
autoScale on\
color 0,0,200\
configurable on\
longLabel RNA-seq Raw Signal\
maxHeightPixels 128:32:16\
noInherit on\
parent ucsfBrainMethylViewCOV\
priority 8\
shortLabel RNA-seq RawSignal\
subGroups view=COV sampleType=Brain assayType=RNA1\
track ucsfRnaSeqBrainAllCoverage\
type bigWig 1 24184\
yLineOnOff on\
burgeRnaSeqGemMapperAlignT47D RNA-seq T47D bed 12 Burge Lab RNA-seq 32mer Reads from T-47D Breast Ductal Carcinoma Cell Line 1 5 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from T-47D Breast Ductal Carcinoma Cell Line\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq T47D\
subGroups view=Alignments tissueType=T47D\
track burgeRnaSeqGemMapperAlignT47D\
gnomadGenomes20XPercentage Sample % > 20X bigWig 0 1 gnomAD Percentage of Genome Samples with at least 20X Coverage 0 5 135 0 120 195 127 187 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.genomes.coverage.depth20.bw\
color 135,0,120\
longLabel gnomAD Percentage of Genome Samples with at least 20X Coverage\
parent gnomadGenomesReadDepthPct on\
priority 5\
shortLabel Sample % > 20X\
subGroups view=gRDepth\
track gnomadGenomes20XPercentage\
gnomadExomes20XPercentage Sample % > 20X bigWig 0 1 gnomAD Percentage of Exome Samples with at least 20X Coverage 0 5 135 0 120 195 127 187 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX, varRep 0 bigDataUrl /gbdb/hg19/gnomAD/coverage/gnomad.exomes.coverage.depth20.bw\
color 135,0,120\
longLabel gnomAD Percentage of Exome Samples with at least 20X Coverage\
parent gnomadExomesReadDepthPct on\
priority 5\
shortLabel Sample % > 20X\
subGroups view=eRDepth\
track gnomadExomes20XPercentage\
dhcVcfHGDP00665 Sardin. Variants vcfTabix Sardinian Individual (HGDP00665) Variant Calls 0 5 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Sardinian Individual (HGDP00665) Variant Calls\
parent dhcVcfModern\
priority 5\
shortLabel Sardin. Variants\
track dhcVcfHGDP00665\
vcfDoMaf off\
hiSeqDepthTop10Pct Top 0.10 Depth bed 3 Top 0.10 of Read Depth Distribution 0 5 139 69 19 197 162 137 0 0 0 map 1 longLabel Top 0.10 of Read Depth Distribution\
parent hiSeqDepth\
priority 5\
shortLabel Top 0.10 Depth\
track hiSeqDepthTop10Pct\
unipLocTransMemb Transmembrane bigBed 12 + UniProt Transmembrane Domains 1 5 0 150 0 127 202 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipLocTransMemb.bb\
color 0,150,0\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
itemRgb off\
longLabel UniProt Transmembrane Domains\
parent uniprot\
priority 5\
shortLabel Transmembrane\
track unipLocTransMemb\
type bigBed 12 +\
visibility dense\
iscaLikelyBenign Uncert Ben gvf ClinGen CNVs: Uncertain: Likely Benign 3 5 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/?term=$$ phenDis 1 longLabel ClinGen CNVs: Uncertain: Likely Benign\
parent iscaViewDetail off\
shortLabel Uncert Ben\
subGroups view=cnv class=likB level=sub\
track iscaLikelyBenign\
bamSLVi33dot25 Vi33.25 Sequence bam Vi33.25 Sequence Reads 0 5 0 0 0 127 127 127 0 0 0 neandertal 1 longLabel Vi33.25 Sequence Reads\
parent ntSeqReads\
shortLabel Vi33.25 Sequence\
subGroups sample=Vi33dot25\
track bamSLVi33dot25\
mrna Human mRNAs psl . Human mRNAs from GenBank 0 5.1 0 0 0 127 127 127 1 0 0
Description
\
\
\
The mRNA track shows alignments between human mRNAs\
in \
GenBank and the genome.
\
\
Display Conventions and Configuration
\
\
\
This track follows the display conventions for\
\
PSL alignment tracks. In dense display mode, the items that\
are more darkly shaded indicate matches of better quality.\
\
\
\
The description page for this track has a filter that can be used to change\
the display mode, alter the color, and include/exclude a subset of items\
within the track. This may be helpful when many items are shown in the track\
display, especially when only some are relevant to the current task.\
\
\
\
To use the filter:\
\
Type a term in one or more of the text boxes to filter the mRNA\
display. For example, to apply the filter to all mRNAs expressed in a specific\
organ, type the name of the organ in the tissue box. To view the list of\
valid terms for each text box, consult the table in the Table Browser that\
corresponds to the factor on which you wish to filter. For example, the\
"tissue" table contains all the types of tissues that can be\
entered into the tissue text box. Multiple terms may be entered at once,\
separated by a space. Wildcards may also be used in the filter.
\
If filtering on more than one value, choose the desired combination\
logic. If "and" is selected, only mRNAs that match all filter\
criteria will be highlighted. If "or" is selected, mRNAs that\
match any one of the filter criteria will be highlighted.
\
Choose the color or display characteristic that should be used to\
highlight or include/exclude the filtered items. If "exclude" is\
chosen, the browser will not display mRNAs that match the filter criteria.\
If "include" is selected, the browser will display only those\
mRNAs that match the filter criteria.
\
\
\
\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare mRNAs against the genomic sequence. For more\
information about this option, go to the\
\
Codon and Base Coloring for Alignment Tracks page.\
Several types of alignment gap may also be colored;\
for more information, go to the\
\
Alignment Insertion/Deletion Display Options page.\
\
\
Methods
\
\
\
GenBank human mRNAs were aligned against the genome using the\
blat program. When a single mRNA aligned in multiple places,\
the alignment having the highest base identity was found.\
Only alignments having a base identity level within 0.5% of\
the best and at least 96% base identity with the genomic sequence were kept.\
\
\
Credits
\
\
\
The mRNA track was produced at UCSC from mRNA sequence data\
submitted to the international public sequence databases by\
scientists worldwide.\
\
\
References
\
\
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW.\
\
GenBank.\
Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42.\
PMID: 23193287; PMC: PMC3531190\
\
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
This track shows the location of the consensus and exemplar sequences used \
for the selection of probes on the Affymetrix HG-U133 Plus 2.0 chip.
\
\
Methods
\
\
Consensus and exemplar sequences were downloaded from the\
Affymetrix Product Support\
and mapped to the genome using blat followed by pslReps with the \
parameters:
-minCover=0.3 -minAli=0.95 -nearTop=0.005\
\
\
Credits
\
Thanks to \
Affymetrix for the data underlying this track.\
expression 1 group expression\
html ../affyU133Plus2\
longLabel Alignments of Affymetrix Consensus/Exemplars from HG-U133 Plus 2.0\
parent affyArchive\
priority 6\
shortLabel Affy U133Plus2\
track affyU133Plus2\
type psl .\
visibility hide\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_ctss_rev AorticSmsToFgf2_00hr15minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_reverse 0 6 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep1%20%28LK4%29.CNhs13340.12643-134G6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12643-134G6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr15minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_tpm_rev AorticSmsToFgf2_00hr15minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_reverse 1 6 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep1%20%28LK4%29.CNhs13340.12643-134G6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep1 (LK4)_CNhs13340_12643-134G6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12643-134G6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr15minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep1LK4_CNhs13340_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12643-134G6\
urlLabel FANTOM5 Details:\
gtexEqtlTissueArteryTibial arteryTibial bed 9 + Expression QTL in Artery_Tibial from GTEx V6 0 6 255 0 0 255 127 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 255,0,0\
idInUrlSql select gene from gtexEqtlTissueArteryTibial where name='%s'\
longLabel Expression QTL in Artery_Tibial from GTEx V6\
parent gtexEqtlTissue on\
shortLabel arteryTibial\
track gtexEqtlTissueArteryTibial\
wgEncodeFsuRepliChipBg02esWaveSignalRep1 BG02ES 1 bigWig -1.779521 1.617028 BG02ES Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 6 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel BG02ES 1\
subGroups view=WaveSignal cellType=t3BG02ES rep=rep1\
track wgEncodeFsuRepliChipBg02esWaveSignalRep1\
type bigWig -1.779521 1.617028\
dhcHumDerDenAncCcdsFrameshiftCodingHighFreq CC FrShft HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Frameshift Coding 3 6 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Frameshift Coding\
parent dhcHumDerDenAncCcds\
shortLabel CC FrShft HiF\
subGroups view=Ccds subset=CcdsFrameshiftCoding freq=HighFreq\
track dhcHumDerDenAncCcdsFrameshiftCodingHighFreq\
lincRNAsCTColon Colon bed 5 + lincRNAs from colon 1 6 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from colon\
parent lincRNAsAllCellType on\
shortLabel Colon\
subGroups view=lincRNAsRefseqExp tissueType=colon\
track lincRNAsCTColon\
wgEncodeCrgMapabilityAlign100mer CRG Align 100 bigWig 0.00 1.00 Alignability of 100mers by GEM from ENCODE/CRG(Guigo) 0 6 0 100 0 127 177 127 0 0 0 map 1 color 0,100,0\
longLabel Alignability of 100mers by GEM from ENCODE/CRG(Guigo)\
origAssembly hg19\
parent wgEncodeMapabilityViewCRGMAP off\
shortLabel CRG Align 100\
subGroups view=CRGMAP win=w100 lab=CRG\
track wgEncodeCrgMapabilityAlign100mer\
type bigWig 0.00 1.00\
unipLocCytopl Cytoplasmic bigBed 12 + UniProt Cytoplasmic Domains 1 6 255 150 0 255 202 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipLocCytopl.bb\
color 255,150,0\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
itemRgb off\
longLabel UniProt Cytoplasmic Domains\
parent uniprot\
priority 6\
shortLabel Cytoplasmic\
track unipLocCytopl\
type bigBed 12 +\
visibility dense\
dbVar_common_gnomad dbVar Curated gnomAD SVs bigBed 9 + . NCBI dbVar Curated Common SVs: all populations from gnomAD 3 6 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/variants/$$ varRep 1 bigDataUrl /gbdb/hg19/bbi/dbVar/common_gnomad.bb\
longLabel NCBI dbVar Curated Common SVs: all populations from gnomAD\
parent dbVar_common on\
shortLabel dbVar Curated gnomAD SVs\
track dbVar_common_gnomad\
type bigBed 9 + .\
url https://www.ncbi.nlm.nih.gov/dbvar/variants/$$\
urlLabel NCBI Variant Page:\
decodeFemaleNonCarrier Female Non-carry bigWig 0.0 93.929 deCODE recombination map, female non-carrier 0 6 148 128 200 201 191 227 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 148,128,200\
configurable on\
longLabel deCODE recombination map, female non-carrier\
parent femaleView\
priority 6\
shortLabel Female Non-carry\
subGroups view=female\
track decodeFemaleNonCarrier\
type bigWig 0.0 93.929\
affyExonProbeFull Full Probes bed 10 Affymetrix Human Exon Array Full Probes 1 6 205 96 144 230 175 199 0 0 0 expression 1 color 205,96,144\
longLabel Affymetrix Human Exon Array Full Probes\
parent affyExonProbe off\
shortLabel Full Probes\
subGroups view=v2Probe level=L3Full\
track affyExonProbeFull\
type bed 10\
geneHancerGenes GH genes TSS bigBed 9 GH genes TSS 3 6 0 0 0 127 127 127 0 0 0 http://www.genecards.org/cgi-bin/carddisp.pl?gene=$$ regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerGenesTssAll.hg19.bb\
longLabel GH genes TSS\
parent ghGeneTss off\
shortLabel GH genes TSS\
subGroups set=b_ALL view=b_TSS\
track geneHancerGenes\
type bigBed 9\
urlLabel In GeneCards:\
wgEncodeGisRnaPetGm12878NucleusPapMinusRawSigRep1 GM12 nucl pA+ - 1 bigWig 1.000000 618340.000000 GM12878 nucleus polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS 2 6 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel GM12 nucl pA+ - 1\
subGroups view=v2MinusRawSignal cellType=aGM12878 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878NucleusPapMinusRawSigRep1\
type bigWig 1.000000 618340.000000\
wgEncodeAwgTfbsHaibGm12878Bclaf101388V0416101UniPk GM12878 BCLAF1 narrowPeak GM12878 TFBS Uniform Peaks of BCLAF1_(SC-101388) ENCODE/HudsonAlpha/Analysis 1 6 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BCLAF1_(SC-101388) ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BCLAF1\
subGroups tier=a10 cellType=a10GM12878 factor=BCLAF1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Bclaf101388V0416101UniPk\
wgEncodeOpenChromChipGm12878CtcfBaseOverlapSignal GM12878 CTCF OS bigWig 0.000000 1544.000000 GM12878 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 6 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel GM12878 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878CtcfBaseOverlapSignal\
type bigWig 0.000000 1544.000000\
wgEncodeUwRepliSeqGm12878G2PctSignalRep1 GM12878 G2 1 bigWig 1.000000 100.000000 GM12878 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel GM12878 G2 1\
subGroups view=v1PctSignal cellType=t1GM12878 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqGm12878G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeBroadHistoneGm12878H2azStdSig GM12878 H2A.Z bigWig 0.040000 5573.080078 GM12878 H2A.Z Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 6 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H2A.Z Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H2A.Z\
subGroups view=Signal factor=H2AZ cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H2azStdSig\
type bigWig 0.040000 5573.080078\
wgEncodeAffyRnaChipFiltTransfragsGm12878NucleolusTotal GM12878 nlus tot broadPeak GM12878 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL 3 6 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags on\
shortLabel GM12878 nlus tot\
subGroups view=FiltTransfrags cellType=t1GM12878 localization=gNUCLEOLUS rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsGm12878NucleolusTotal\
type broadPeak\
wgEncodeSunyRipSeqGm12878Pabpc1AlnRep1 GM12878 PABPC1 1 bam GM12878 PABPC1 RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 6 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PABPC1 RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 PABPC1 1\
subGroups view=Alignments factor=PABPC1 cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878Pabpc1AlnRep1\
type bam\
wgEncodeUwDnaseGm12878RawRep2 GM12878 Sg 2 bigWig 1.000000 18952.000000 GM12878 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw\
shortLabel GM12878 Sg 2\
subGroups view=zRSig cellType=t1GM12878 rep=rep2 treatment=None\
track wgEncodeUwDnaseGm12878RawRep2\
type bigWig 1.000000 18952.000000\
wgEncodeSunyAlbanyGeneStGm12878T7tagRbpAssocRnaV2 GM12878 T7Tag broadPeak GM12878 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 6 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel GM12878 T7Tag\
subGroups cellType=t1GM12878 factor=T7Tag\
track wgEncodeSunyAlbanyGeneStGm12878T7tagRbpAssocRnaV2\
type broadPeak\
wgEncodeCaltechRnaSeqGm12878R2x75Il200SplicesRep2V2 GM78 2x75 Sp 2 bam GM12878 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 6 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel GM78 2x75 Sp 2\
subGroups view=Splices cellType=t1GM12878 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il200SplicesRep2V2\
type bam\
wgEncodeHaibTfbsGm12878Atf3Pcr1xRawRep1 GM78 ATF3 PCR1 1 bigWig 0.265103 427.545990 GM12878 ATF3 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ATF3 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ATF3 PCR1 1\
subGroups view=RawSignal factor=ATF3 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Atf3Pcr1xRawRep1\
type bigWig 0.265103 427.545990\
wgEncodeSydhTfbsGm12878Cdpsc6327IggmusSig GM78 CDP IgM bigWig 1.000000 12658.000000 GM12878 CDP (SC-6327) IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CDP (SC-6327) IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 CDP IgM\
subGroups view=Signal factor=CDPSC6327 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Cdpsc6327IggmusSig\
type bigWig 1.000000 12658.000000\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaMinusRawSigRep2 GM78 cel pA- - 2 bigWig 1.000000 2788978.000000 GM12878 whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 6 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig on\
shortLabel GM78 cel pA- - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 2788978.000000\
wgEncodeCshlShortRnaSeqGm12878ChromatinTapContigs GM78 chrm TAP C bed 6 GM12878 TAP-only chromatin small RNA-seq Contigs from ENCODE/CSHL 2 6 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 TAP-only chromatin small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel GM78 chrm TAP C\
subGroups view=Contigs rep=Pooled cellType=t1GM12878 localization=CHROMATIN protocol=TAP rank=none\
track wgEncodeCshlShortRnaSeqGm12878ChromatinTapContigs\
type bed 6\
wgEncodeUwTfbsGm12878CtcfStdRawRep2 GM78 CTCF Sg 2 bigWig 1.000000 7099.000000 GM12878 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel GM78 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t1GM12878 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsGm12878CtcfStdRawRep2\
type bigWig 1.000000 7099.000000\
wgEncodeRikenCageGm12878CytosolPapPlusSignalRep1 GM78 cyto pA+ + 1 bigWig 1.000000 178047.000000 GM12878 cytosol polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 6 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 cyto pA+ + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPapPlusSignalRep1\
type bigWig 1.000000 178047.000000\
wgEncodeUwHistoneGm12878H3k4me3StdRawRep2 GM78 H3K4M3 Sg 2 bigWig 1.000000 2040.000000 GM12878 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 6 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig f on\
shortLabel GM78 H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k4me3StdRawRep2\
type bigWig 1.000000 2040.000000\
wgEncodeDukeAffyExonH1hescSimpleSignalRep3V2 H1-hESC 3 bigBed 6 + H1-hESC Exon array Signal Rep 3 from ENCODE/Duke 0 6 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H1-hESC 3\
subGroups cellType=t1H1HESC treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonH1hescSimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeUncBsuProtGencH1hescCellFaspmPepMapGcFt H1-hESC Ce PTM bigBed 12 H1-hESC FASP ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 6 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC FASP ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel H1-hESC Ce PTM\
subGroups view=mPepMapGcFt cellType=H1HESC localization=CELL protocol=FASP\
track wgEncodeUncBsuProtGencH1hescCellFaspmPepMapGcFt\
type bigBed 12\
wgEncodeOpenChromFaireH1hescBaseOverlapSignal H1-hESC FAIRE OS bigWig 0.000000 1584.000000 H1-hESC FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 6 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo\
shortLabel H1-hESC FAIRE OS\
subGroups view=SIGBO cellType=t1H1HESC treatment=AANONE\
track wgEncodeOpenChromFaireH1hescBaseOverlapSignal\
type bigWig 0.000000 1584.000000\
wgEncodeAwgSegmentationSegwayH1hesc H1-hESC Segway bed 9 . H1-hESC Genome Segmentation by Segway from ENCODE/Analysis 0 6 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H1-hESC Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel H1-hESC Segway\
subGroups tier=t1 cellType=t1H1HESC method=Segway\
track wgEncodeAwgSegmentationSegwayH1hesc\
type bed 9 .\
wgEncodeGisRnaSeqH1hescCellPapPlusRawRep1 H1ES cell pA+ + 1 bigWig 1.000000 46751.000000 H1-hESC whole cell polyA+ RNA-seq Plus raw signal rep 1 from ENCODE/GIS 2 6 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Plus raw signal rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewPlusRawSignal on\
shortLabel H1ES cell pA+ + 1\
subGroups view=PlusRawSignal cellType=t1H1HESC rnaExtract=longPolyA rep=rep1 localization=cell\
track wgEncodeGisRnaSeqH1hescCellPapPlusRawRep1\
type bigWig 1.000000 46751.000000\
wgEncodeOpenChromDnaseH1hescBaseOverlapSignal H1hESC OS bigWig 0.000000 264.000000 H1-hESC DNaseI HS Overlap Signal from ENCODE/Duke 2 6 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo\
shortLabel H1hESC OS\
subGroups view=SIGBO cellType=t1H1HESC treatment=zNONE\
track wgEncodeOpenChromDnaseH1hescBaseOverlapSignal\
type bigWig 0.000000 264.000000\
dhcVcfHGDP00778 Han Variants vcfTabix Han Individual (HGDP00778) Variant Calls 0 6 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Han Individual (HGDP00778) Variant Calls\
parent dhcVcfModern\
priority 6\
shortLabel Han Variants\
track dhcVcfHGDP00778\
vcfDoMaf off\
hapmapSnpsJPT HapMap SNPs JPT bed 6 + HapMap SNPs from the JPT Population (Japanese in Tokyo, Japan) 0 6 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the JPT Population (Japanese in Tokyo, Japan)\
parent hapmapSnps\
priority 6\
shortLabel HapMap SNPs JPT\
track hapmapSnpsJPT\
wgEncodeHaibGenotypeHelas3RegionsRep2 HeLa-S3 1 bed 9 + HeLa-S3 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 6 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HeLa-S3 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype on\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeHelas3RegionsRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayHelas3SimpleSignalRep1 HeLa-S3 1 broadPeak HeLa-S3 Exon array Signal Rep 1 from ENCODE/UW 0 6 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHelas3SimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethyl450Hepg2SitesRep1 HepG2 bed 9 HepG2 Methylation 450K Bead Array from ENCODE/HAIB 1 6 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel HepG2\
subGroups cellType=t2HEPG2 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Hepg2SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwdukeHepg2UniPk HepG2 DNase narrowPeak HepG2 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 6 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel HepG2 DNase\
subGroups tier=a20 cellType=a20HepG2\
track wgEncodeAwgDnaseUwdukeHepg2UniPk\
wgEncodeOpenChromSynthHepg2Pk HepG2 Syn Pk bed 9 + HepG2 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 6 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth off\
shortLabel HepG2 Syn Pk\
subGroups cellType=t2HEPG2 treatment=aNone\
track wgEncodeOpenChromSynthHepg2Pk\
type bed 9 +\
wgEncodeBroadHmmHmecHMM HMEC ChromHMM bed 9 . HMEC Chromatin State Segmentation by HMM from ENCODE/Broad 0 6 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMEC Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel HMEC ChromHMM\
subGroups cellType=t3HMEC\
track wgEncodeBroadHmmHmecHMM\
type bed 9 .\
darned Human RNA Editing bed 9 Human RNA Editing from the DAtabase of RNa EDiting 0 6 0 0 0 127 127 127 0 0 0
Description
\
\
This track provides information on RNA nucleotides that are edited after transcription and their \
corresponding genomic coordinates. Only post-transcriptional editing that results in small changes \
to the identity of a nucleic acid are included in this track; it does not include other RNA \
processing such as splicing or methylation. The track contains information on A-to-I \
(adenosine-to-inosine) and C-to-U (cytidine-to-uridine) editing that occur due to deamination by \
ADAR and APOBEC enzymes, respectively. Most of the data in this track are on A-to-I editing, which \
is known to be highly abundant in humans.\
\
\
Display
\
\
Track items are colored depending on their occurrence within RNA transcripts:\
\
\
Dark Green: 5' UTR
\
Blue: CDS
\
Red: Intron
\
Deep Pink: 3' UTR
\
Black: Other (exon/intron status is unclear or unknown)
\
\
\
Methods
\
\
The data were obtained from several research papers on RNA editing and were mapped to the \
reference genome. More information can be obtained from DARNED database.
\
rna 1 group rna\
itemRgb on\
longLabel Human RNA Editing from the DAtabase of RNa EDiting\
noScoreFilter .\
priority 6\
shortLabel Human RNA Editing\
track darned\
type bed 9\
visibility hide\
wgEncodeRegTxnCaltechRnaSeqHuvecR2x75Il200SigPooled HUVEC bigWig 0 65535 Transcription of HUVEC cells from ENCODE 0 6 128 199 255 191 227 255 0 0 0 regulation 1 color 128,199,255\
longLabel Transcription of HUVEC cells from ENCODE\
parent wgEncodeRegTxn\
priority 6\
shortLabel HUVEC\
track wgEncodeRegTxnCaltechRnaSeqHuvecR2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeHaibMethylRrbsK562HaibSitesRep2 K562 2 bed 9 + K562 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 6 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel K562 2\
subGroups cellType=t1K562 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsK562HaibSitesRep2\
type bed 9 +\
wgEncodeGisDnaPetK562F20kAln K562 20k bam ENCODE GIS DNA PET Alignments (20k frags in K562 cells) 1 6 46 0 184 150 127 219 0 0 0 varRep 1 color 46,0,184\
longLabel ENCODE GIS DNA PET Alignments (20k frags in K562 cells)\
parent wgEncodeGisDnaPetViewAlignments off\
shortLabel K562 20k\
subGroups cellType=t1K562 fragSize=d20K\
track wgEncodeGisDnaPetK562F20kAln\
wgEncodeSydhHistoneK562H3k9acbUcdSig K562 H3K9ac bigWig 1.000000 2288.000000 K562 H3K9ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 6 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K9ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel K562 H3K9ac\
subGroups view=Signal factor=H3K09acB cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k9acbUcdSig\
type bigWig 1.000000 2288.000000\
wgEncodeUchicagoTfbsK562Ehdac8ControlSig K562 HDAC8/GFP Sg bigWig -3635.416016 7391.409180 K562 HDAC8 GFP-tag TFBS Signal from ENCODE/UChicago 2 6 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 HDAC8 GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 HDAC8/GFP Sg\
subGroups view=Signal factor=HDAC8 cellType=K562 control=ControlHDAC8 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Ehdac8ControlSig\
type bigWig -3635.416016 7391.409180\
wgEncodeUncBsuProtK562MitoSig K562 mitochondria peptideMapping K562 Mitochondria Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 6 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Mitochondria Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel K562 mitochondria\
subGroups view=Signal cellType=t1K562 localization=mito protocol=INGEL\
track wgEncodeUncBsuProtK562MitoSig\
type peptideMapping\
visibility full\
wgEncodeSydhRnaSeqK562Ifng30PolyaRaw K562 pA+ Ng30 bigWig 0.000000 172495.000000 K562 polyA+ IFNg30 RNA-seq Raw Signal from ENCODE/SYDH 2 6 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polyA+ IFNg30 RNA-seq Raw Signal from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewSignal on\
shortLabel K562 pA+ Ng30\
subGroups view=RawSignal cellType=t1K562 rnaExtract=polyA treatment=IFNg30\
track wgEncodeSydhRnaSeqK562Ifng30PolyaRaw\
type bigWig 0.000000 172495.000000\
wgEncodeSunyAlbanyTilingK562Pabpc1RbpAssocRna K562 PABPC1 broadPeak K562 PABPC1 RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 6 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 PABPC1 RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel K562 PABPC1\
subGroups view=RbpAssocRna cellType=t1K562 antibody=PABPC1\
track wgEncodeSunyAlbanyTilingK562Pabpc1RbpAssocRna\
type broadPeak\
wgEncodeGisChiaPetK562Pol2SigRep2 K562 Pol2 Sig 2 bigWig 1.000000 1781.000000 K562 Pol2 ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan 2 6 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Pol2 ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel K562 Pol2 Sig 2\
subGroups view=Signal factor=POL2 cellType=t1K562 rep=rep2\
track wgEncodeGisChiaPetK562Pol2SigRep2\
type bigWig 1.000000 1781.000000\
KAPA_HyperExome_hg19_capture_targets KAPA Hyper P bigBed 4 Roche - KAPA HyperExome Capture Probe Footprint 0 6 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/KAPA_HyperExome_hg19_capture_targets.bb\
color 100,143,255\
longLabel Roche - KAPA HyperExome Capture Probe Footprint\
parent exomeProbesets on\
shortLabel KAPA Hyper P\
track KAPA_HyperExome_hg19_capture_targets\
type bigBed 4\
kbm7Insitu KBM7 Hi-C hic In situ Hi-C Chromatin Structure on KBM7 0 6 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_KBM7_combined.hic\
longLabel In situ Hi-C Chromatin Structure on KBM7\
parent rao2014Hic off\
shortLabel KBM7 Hi-C\
track kbm7Insitu\
type hic\
pgNb1Indel NB1 indels pgSnp NB1 Genome Variants indels 3 6 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NB1 Genome Variants indels\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel NB1 indels\
subGroups view=A_PSU id=AB_NB1 type=Indel\
track pgNb1Indel\
getRmNgsProblemHigh NCBI NGS High Stringency bigBed 3 + NCBI GeT-RM NGS Problem List, High Stringency 1 6 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/ngsProblemHigh.bb\
longLabel NCBI GeT-RM NGS Problem List, High Stringency\
parent problematic\
priority 6\
shortLabel NCBI NGS High Stringency\
track getRmNgsProblemHigh\
type bigBed 3 +\
visibility dense\
uMassBrainHistoneSignalS3NeuP0pt75yrsF NeuN+ 0.75yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN+ D3) Gender-female Age-0.75 2 6 0 255 0 127 255 127 0 0 0 regulation 0 color 0,255,0\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D3) Gender-female Age-0.75\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 0.75yrs F\
subGroups view=Signal donor=d_3 cellType=norm sex=female age=a_infant\
track uMassBrainHistoneSignalS3NeuP0pt75yrsF\
type bigWig\
wgEncodeRegMarkH3k4me1Nhek NHEK bigWig 0 2669 H3K4Me1 Mark (Often Found Near Regulatory Elements) on NHEK Cells from ENCODE 0 6 212 128 255 233 191 255 0 0 0 regulation 1 color 212,128,255\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on NHEK Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel NHEK\
table wgEncodeBroadHistoneNhekH3k4me1StdSig\
track wgEncodeRegMarkH3k4me1Nhek\
type bigWig 0 2669\
wgEncodeRegMarkH3k4me3Nhek NHEK bigWig 0 8230 H3K4Me3 Mark (Often Found Near Promoters) on NHEK Cells from ENCODE 0 6 212 128 255 233 191 255 0 0 0 regulation 1 color 212,128,255\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on NHEK Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel NHEK\
table wgEncodeBroadHistoneNhekH3k4me3StdSig\
track wgEncodeRegMarkH3k4me3Nhek\
type bigWig 0 8230\
wgEncodeRegMarkH3k27acNhek NHEK bigWig 0 23439 H3K27Ac Mark (Often Found Near Regulatory Elements) on NHEK Cells from ENCODE 2 6 212 128 255 233 191 255 0 0 0 regulation 1 color 212,128,255\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on NHEK Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel NHEK\
table wgEncodeBroadHistoneNhekH3k27acStdSig\
track wgEncodeRegMarkH3k27acNhek\
type bigWig 0 23439\
noAFmutC No MaxAF Mutation: C bigWig -1.29334 0.75731 BayesDel v1 Score (without MaxAF): Mutation is C 0 6 237 180 87 246 217 171 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 bigDataUrl /gbdb/hg19/bayesDel/NoAFBayesDelMutC.bw\
color 237, 180, 87\
html predictionScoresSuper\
longLabel BayesDel v1 Score (without MaxAF): Mutation is C\
maxHeightPixels 128:20:8\
parent bayesDel on\
shortLabel No MaxAF Mutation: C\
track noAFmutC\
type bigWig -1.29334 0.75731\
visibility hide\
windowingFunction mean+whiskers\
phastBias phastBias gBGC bed 3 . phastBias gBGC predictions 0 6 0 0 0 127 127 127 0 0 0
Description
\
\
The phastBias gBGC tracks show regions predicted to be influenced by GC-biased gene conversion\
(gBGC). gBGC is a process in which GC/AT (strong/weak) heterozygotes are preferentially resolved\
to the strong allele during gene conversion. This confers an advantage to G and C alleles that\
mimics positive selection, without conferring any known functional advantage. Therefore, some\
regions of the genome identified to be under positive selection may be better explained by gBGC.\
gBGC has also been hypothesized to be an important contributor to variation in GC content and the\
fixation of deleterious mutations.\
\
\
\
PhastBias is a prediction method that captures gBGC's signature in multiple-genome alignments:\
clusters of weak-to-strong substitutions amidst a deficit of strong-to-weak substitutions. Due\
to the short life of recombination hotspots, phastBias searches for gBGC tracts on a single\
foreground branch. PhastBias is designed to pick up gBGC tracts of arbitrary length and to be\
robust to variations in local mutation rate and GC content. It uses a hidden Markov model (HMM)\
that can be thought of as an extension to the phastCons model. Whereas phastCons predicts\
conserved elements using an HMM with two states (conserved and neutral), phastBias predicts gBGC\
tracts using a four-state HMM (conserved, neutral, conserved with gBGC, neutral with gBGC).\
\
\
\
One of the main parameters of the phastBias model is B, which represents the strength of\
gBGC and the degree to which weak-to-strong and strong-to-weak substitution rates are skewed on\
the foreground branch. The tracks presented here were created with B=3, which was chosen\
for being sensitive while still having a low false positive rate. Simulation experiments suggest\
that phastBias has reasonable power to pick up tracts with length > 1000bp, and very good\
power for tracts > 2000bp. Nonetheless, other lines of evidence suggest that phastBias only\
identifies approximately 25-50% of bases influenced by gBGC, so the tract predictions should not\
be considered exhaustive.\
\
\
Display Conventions
\
\
The phastBias tracks display separate predictions for both human and chimp lineages of the\
phylogenetic tree (from the human-chimp ancestor). For each lineage, two tracks are available: a\
wiggle showing raw posterior probabilities, and a BED track showing regions predicted to be\
affected by gBGC.\
\
\
\
The posterior probability track shows the probability that each base is assigned to either of the\
gBGC states under the phastBias HMM. \
\
\
\
The phastBias tracts show regions predicted to be affected by gBGC on a particular lineage. These\
are simply defined as all regions with posterior probability > 0.5.\
\
\
Methods
\
\
The phastBias tracks were predicted using the phastBias program, available as part of the\
PHAST software package. \
The phastBias tracks represent two separate result sets; one predicting gBGC on the branch\
leading from the human-chimp ancestor to human, and the other on the opposite branch leading\
to chimp. The software was run on human-referenced alignments of hg18, panTro2, ponAbe2, and\
rheMac2, which were extracted from the hg18 44-way multiple alignment. Details are available in\
Capra et al., 2013 (cited below). Briefly, the gBGC bias parameter B was\
set to 3, the mean expected tract length was set to 1/1000, and the transition rate into gBGC\
states was estimated by expectation-maximization. Most other parameter settings were set to the\
same values used for UCSC's mammalian conservation tracts. Relative branch lengths came from this\
placental mammal tree model,\
the conservation scale factor was set to 0.31, expected length of conserved elements to 45, and\
expected coverage of conserved elements to 0.3. The alignment was split into 10 Mb chunks; for\
each chunk, a scaling factor for the neutral tree, the transition/transversion rate ratio, and\
the background base frequencies were re-estimated using the PHAST program phyloFit. The final\
tracts were filtered to remove elements with length ≥ 5000bp, as these are likely due to\
artifacts unrelated to gBGC (repeats, alignment error).\
\
\
\
The method was re-run on hg19 data, extracting hg19, panTro2, rheMac2, and ponAbe2 from the\
46-way alignments. The chimp tracks were not re-created for hg19, since interest in them is lower.\
\
This track provides a link into the \
Allen Brain Atlas (ABA)\
images for this probe. The ABA is an extensive\
database of high resolution in-situ hybridization images of adult\
male mouse brains covering the majority of genes.
\
\
Methods
\
\
The ABA created a platform for high-throughput in situ hybridization \
(ISH) that allows a highly systematic approach to analyzing gene expression in \
the brain. ISH is a technique that allows the cellular localization of mRNA \
transcripts for specific genes. Labeled antisense probes, specific to a \
particular gene, are hybridized to cellular (sense) transcripts and subsequent \
detection of the bound probe produces specific labeling in those cells \
expressing the particular gene. This method involves tagged nucleotides \
detected by colorimetric methods.
\
\
The platform used for the ABA utilizes this non-isotopic approach, with \
digoxigenin-labeled nucleotides incorporated into a riboprobe produced by in\
vitro transcription. This method produces a label that fills the cell body,\
in contrast to autoradiography that produces scattered silver grains surrounding\
each labeled cell. To enhance the ability to detect low level expression, the \
ABA has incorporated a tyramide signal amplification step into the protocol that\
greatly increases sensitivity. The specific methodology is described in detail \
within the ABA Data Production Processes document.
\
\
Credits
\
\
Thanks to the Allen \
Institute for Brain Science in general, and Susan \
Sunkin in particular, for coordinating with UCSC on this annotation.
\
\
expression 1 color 50,0,100\
group expression\
longLabel Allen Brain Atlas Probes\
priority 7\
shortLabel Allen Brain\
track allenBrainAli\
type psl .\
visibility hide\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_ctss_fwd AorticSmsToFgf2_00hr15minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_forward 0 7 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep2%20%28LK5%29.CNhs13359.12741-135I5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12741-135I5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr15minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_tpm_fwd AorticSmsToFgf2_00hr15minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_forward 1 7 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep2%20%28LK5%29.CNhs13359.12741-135I5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12741-135I5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr15minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5\
urlLabel FANTOM5 Details:\
wgEncodeFsuRepliChipBg02esWaveSignalRep2 BG02ES 2 bigWig -2.019916 2.087141 BG02ES Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 7 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel BG02ES 2\
subGroups view=WaveSignal cellType=t3BG02ES rep=rep2\
track wgEncodeFsuRepliChipBg02esWaveSignalRep2\
type bigWig -2.019916 2.087141\
gtexEqtlTissueBrainAnCinCortex brainAnCinCortex bed 9 + Expression QTL in Brain_Anterior_cingulate_cortex_BA24 from GTEx V6 0 7 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainAnCinCortex where name='%s'\
longLabel Expression QTL in Brain_Anterior_cingulate_cortex_BA24 from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainAnCinCortex\
track gtexEqtlTissueBrainAnCinCortex\
dhcHumDerDenAncCcdsInFrameNonsynFixed CC InFrNS Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS In-frame Non-synonymous 3 7 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS In-frame Non-synonymous\
parent dhcHumDerDenAncCcds\
shortLabel CC InFrNS Fxd\
subGroups view=Ccds subset=CcdsInFrameNonsyn freq=Fixed\
track dhcHumDerDenAncCcdsInFrameNonsynFixed\
primateChainNetViewchain Chains bed 3 Primate Genomes, Chain and Net Alignments 3 7 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Primate Genomes, Chain and Net Alignments\
parent primateChainNet\
shortLabel Chains\
spectrum on\
track primateChainNetViewchain\
view chain\
visibility pack\
unipChain Chains bigBed 12 + UniProt Mature Protein Products (Polypeptide Chains) 1 7 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipChain.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Mature Protein Products (Polypeptide Chains)\
parent uniprot\
priority 7\
shortLabel Chains\
track unipChain\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#ptm_processing" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility dense\
iscaCuratedPathogenic Curated Path gvf ClinGen CNVs: Curated Pathogenic 3 7 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/?term=$$ phenDis 1 longLabel ClinGen CNVs: Curated Pathogenic\
parent iscaViewDetail off\
shortLabel Curated Path\
subGroups view=cnv class=path level=cur\
track iscaCuratedPathogenic\
wgEncodeDukeMapabilityUniqueness20bp Duke Uniq 20 bigWig 0.000000 1.000000 Uniqueness of 20bp Windows from ENCODE/OpenChrom(Duke) 2 7 0 0 0 127 127 127 0 0 0 map 0 longLabel Uniqueness of 20bp Windows from ENCODE/OpenChrom(Duke)\
parent wgEncodeMapabilityViewDuniq off\
shortLabel Duke Uniq 20\
subGroups view=DUNIQ win=w020 lab=DUKE\
track wgEncodeDukeMapabilityUniqueness20bp\
type bigWig 0.000000 1.000000\
lincRNAsCTForeskin_R Foreskin_R bed 5 + lincRNAs from foreskin_r 1 7 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from foreskin_r\
parent lincRNAsAllCellType on\
shortLabel Foreskin_R\
subGroups view=lincRNAsRefseqExp tissueType=foreskin_r\
track lincRNAsCTForeskin_R\
affyExonProbesetFree Free PS bed 12 Affymetrix Human Exon Array Free Probesets 1 7 0 100 0 127 177 127 0 0 0 expression 1 color 0,100,0\
longLabel Affymetrix Human Exon Array Free Probesets\
parent affyExonProbeset off\
shortLabel Free PS\
subGroups view=v1Probeset level=L4Free\
track affyExonProbesetFree\
geneHancerInteractions GH Interactions bigInteract Interactions between GeneHancer regulatory elements and genes 2 7 0 0 0 127 127 127 0 0 0 https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerInteractionsAll.v2.hg19.bb\
longLabel Interactions between GeneHancer regulatory elements and genes\
parent ghInteraction off\
shortLabel GH Interactions\
subGroups set=b_ALL view=c_I\
track geneHancerInteractions\
urlLabel Interaction in GeneCards\
filterSSE GIAB filter SSE bigBed 3 NIST Genome-in-a-bottle: calls with evidence of systematic sequencing errors 1 7 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/filterSSE.bb\
longLabel NIST Genome-in-a-bottle: calls with evidence of systematic sequencing errors\
parent problematic\
priority 7\
shortLabel GIAB filter SSE\
track filterSSE\
type bigBed 3\
visibility dense\
wgEncodeGisRnaPetGm12878NucleusPapPlusRawSigRep1 GM12 nucl pA+ + 1 bigWig 1.000000 190066.000000 GM12878 nucleus polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS 2 7 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel GM12 nucl pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aGM12878 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878NucleusPapPlusRawSigRep1\
type bigWig 1.000000 190066.000000\
wgEncodeAwgTfbsSydhGm12878Bhlhe40cIggmusUniPk GM12878 BHLHE40 narrowPeak GM12878 TFBS Uniform Peaks of BHLHE40_(NB100-1800) from ENCODE/Stanford/Analysis 1 7 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BHLHE40_(NB100-1800) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BHLHE40\
subGroups tier=a10 cellType=a10GM12878 factor=BHLHE40 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Bhlhe40cIggmusUniPk\
wgEncodeBroadHistoneGm12878H3k04me1StdPkV2 GM12878 H3K4m1 broadPeak GM12878 H3K4me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 7 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K4m1\
subGroups view=Peaks factor=H3K04ME1 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k04me1StdPkV2\
type broadPeak\
wgEncodeSunyRipSeqGm12878Pabpc1AlnRep2 GM12878 PABPC1 2 bam GM12878 PABPC1 RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 7 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PABPC1 RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 PABPC1 2\
subGroups view=Alignments factor=PABPC1 cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878Pabpc1AlnRep2\
type bam\
wgEncodeUwRepliSeqGm12878PkRep1 GM12878 Pk 1 bed 9 GM12878 Repli-seq Peaks Rep 1 from ENCODE/UW 0 7 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel GM12878 Pk 1\
subGroups view=v2Peaks cellType=t1GM12878 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqGm12878PkRep1\
type bed 9\
wgEncodeOpenChromChipGm12878Pol2Pk GM12878 Pol2 Pk narrowPeak GM12878 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 7 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel GM12878 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878Pol2Pk\
type narrowPeak\
wgEncodeSunyAlbanyGeneStGm12878RipinputRbpAssocRnaV2 GM12878 RIP-Input broadPeak GM12878 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 7 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel GM12878 RIP-Input\
subGroups cellType=t1GM12878 factor=ripInput\
track wgEncodeSunyAlbanyGeneStGm12878RipinputRbpAssocRnaV2\
type broadPeak\
wgEncodeCaltechRnaSeqGm12878R2x75Il400AlignsRep2V2 GM78 400 A 2 bam GM12878 400 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 7 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 400 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel GM78 400 A 2\
subGroups view=Aligns cellType=t1GM12878 insertLength=il400 readType=a1R2x75400 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il400AlignsRep2V2\
type bam\
wgEncodeHaibTfbsGm12878Atf3Pcr1xPkRep2 GM78 ATF3 PCR1 2 broadPeak GM12878 ATF3 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 7 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ATF3 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ATF3 PCR1 2\
subGroups view=Peaks factor=ATF3 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Atf3Pcr1xPkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaPlusRawSigRep1 GM78 cel pA- + 1 bigWig 1.000000 1565992.000000 GM12878 whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 7 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig on\
shortLabel GM78 cel pA- + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaPlusRawSigRep1\
type bigWig 1.000000 1565992.000000\
wgEncodeSydhTfbsGm12878CfosStdPk GM78 cFOS Std narrowPeak GM12878 c-FOS Standard ChIP-seq Peaks from ENCODE/SYDH 3 7 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 c-FOS Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 cFOS Std\
subGroups view=Peaks factor=CFOS cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878CfosStdPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqGm12878ChromatinTapMinusRep3 GM78 chrm TAP - 1 bigWig 1.000000 7691881.000000 GM12878 TAP-only chromatin small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 7 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only chromatin small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 chrm TAP - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CHROMATIN protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878ChromatinTapMinusRep3\
type bigWig 1.000000 7691881.000000\
wgEncodeRikenCageGm12878CytosolPapPlusSignalRep2 GM78 cyto pA+ + 2 bigWig 1.000000 277633.000000 GM12878 cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 7 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 cyto pA+ + 2\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CytosolPapPlusSignalRep2\
type bigWig 1.000000 277633.000000\
wgEncodeUwHistoneGm12878H3k27me3StdHotspotsRep1 GM78 H3K27M3 Ht 1 broadPeak GM12878 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 7 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K27M3 Ht 1\
subGroups view=Hot factor=H3K27ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdHotspotsRep1\
type broadPeak\
wgEncodeUwTfbsGm12878InputStdRawRep1 GM78 In Sg 1 bigWig 1.000000 8963.000000 GM12878 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 7 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel GM78 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t1GM12878 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsGm12878InputStdRawRep1\
type bigWig 1.000000 8963.000000\
wgEncodeDukeAffyExonH1hescSimpleSignalRep4V2 H1-hESC 4 bigBed 6 + H1-hESC Exon array Signal Rep 4 from ENCODE/Duke 0 7 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC Exon array Signal Rep 4 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H1-hESC 4\
subGroups cellType=t1H1HESC treatment=zNONE rep=rep4\
track wgEncodeDukeAffyExonH1hescSimpleSignalRep4V2\
type bigBed 6 +\
wgEncodeUncBsuProtGencH1hescCellMudpitpepMapGcFt H1-hESC Ce M bigBed 12 H1-hESC MudPIT ProtG GENCODE10 Hg19 Mapping from ENCODE/UNC/BSU 2 7 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC MudPIT ProtG GENCODE10 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel H1-hESC Ce M\
subGroups view=pepMapGcFt cellType=H1HESC localization=CELL protocol=MUDPIT\
track wgEncodeUncBsuProtGencH1hescCellMudpitpepMapGcFt\
type bigBed 12\
wgEncodeUwDnaseH1hescHotspotsRep1 H1hESC Ht 1 broadPeak H1-hESC DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 7 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot\
shortLabel H1hESC Ht 1\
subGroups view=Hot cellType=t1H1HESC rep=rep1 treatment=None\
track wgEncodeUwDnaseH1hescHotspotsRep1\
type broadPeak\
hapmapSnpsLWK HapMap SNPs LWK bed 6 + HapMap SNPs from the LWK Population (Luhya in Webuye, Kenya) 0 7 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the LWK Population (Luhya in Webuye, Kenya)\
parent hapmapSnps\
priority 7\
shortLabel HapMap SNPs LWK\
track hapmapSnpsLWK\
wgEncodeUwAffyExonArrayHelas3SimpleSignalRep2 HeLa-S3 2 broadPeak HeLa-S3 Exon array Signal Rep 2 from ENCODE/UW 0 7 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HeLa-S3 2\
subGroups cellType=t2HELAS3 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHelas3SimpleSignalRep2\
type broadPeak\
wgEncodeGisChiaPetHelas3Pol2InteractionsRep1 HeLaS3 Pol2 Int 1 bed 12 HeLa-S3 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 7 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions on\
shortLabel HeLaS3 Pol2 Int 1\
subGroups view=Interactions factor=POL2 cellType=t2HELAS3 rep=rep1\
track wgEncodeGisChiaPetHelas3Pol2InteractionsRep1\
type bed 12\
wgEncodeHaibGenotypeHepg2RegionsRep1 HepG2 1 bed 9 + HepG2 Copy number variants Replicate 1 from ENCODE/HAIB 0 7 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HepG2 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype on\
shortLabel HepG2 1\
subGroups cellType=t2HEPG2 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeHepg2RegionsRep1\
type bed 9 +\
wgEncodeBroadHmmHsmmHMM HSMM ChromHMM bed 9 . HSMM Chromatin State Segmentation by HMM from ENCODE/Broad 0 7 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel HSMM ChromHMM\
subGroups cellType=t3HSMM\
track wgEncodeBroadHmmHsmmHMM\
type bed 9 .\
wgEncodeHaibMethyl450HuvecSitesRep1 HUVEC bed 9 HUVEC Methylation 450K Bead Array from ENCODE/HAIB 1 7 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 on\
shortLabel HUVEC\
subGroups cellType=t2HUVEC obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450HuvecSitesRep1\
type bed 9\
wgEncodeOpenChromSynthHuvecPk HUVEC Syn Pk bed 9 + HUVEC DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 7 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth off\
shortLabel HUVEC Syn Pk\
subGroups cellType=t2HUVEC treatment=aNone\
track wgEncodeOpenChromSynthHuvecPk\
type bed 9 +\
wgEncodeRegTxnCaltechRnaSeqK562R2x75Il200SigPooled K562 bigWig 0 65535 Transcription of K562 cells from ENCODE 0 7 149 128 255 202 191 255 0 0 0 regulation 1 color 149,128,255\
longLabel Transcription of K562 cells from ENCODE\
parent wgEncodeRegTxn\
priority 7\
shortLabel K562\
track wgEncodeRegTxnCaltechRnaSeqK562R2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeAffyRnaChipFiltTransfragsK562CellTotal K562 cell tot broadPeak K562 whole cell total Microarray Transfrags from ENCODE Affy/CSHL 3 7 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell total Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 cell tot\
subGroups view=FiltTransfrags cellType=t1K562 localization=aCELL rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsK562CellTotal\
type broadPeak\
wgEncodeAwgSegmentationChromhmmK562 K562 ChromHMM bed 9 . K562 Genome Segmentation by ChromHMM from ENCODE/Analysis 0 7 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel K562 ChromHMM\
subGroups tier=t1 cellType=t1K562 method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmK562\
type bed 9 .\
wgEncodeGisRnaSeqK562CytosolPapAlnRep1 K562 cyto pA+ 1 bam K562 cytosol polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS 1 7 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Alignments rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewAlignments on\
shortLabel K562 cyto pA+ 1\
subGroups view=Alignments cellType=t1K562 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapAlnRep1\
type bam\
wgEncodeOpenChromFaireK562Pk K562 FAIRE Pk narrowPeak K562 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 7 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks\
shortLabel K562 FAIRE Pk\
subGroups view=Peaks cellType=t1K562 treatment=AANONE\
track wgEncodeOpenChromFaireK562Pk\
type narrowPeak\
wgEncodeOpenChromDnaseK562G1phasePk K562 G1 Pk narrowPeak K562 G1 phase DNaseI HS Peaks from ENCODE/Duke 3 7 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 G1 phase DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel K562 G1 Pk\
subGroups view=Peaks cellType=t1K562 treatment=G1PHASE\
track wgEncodeOpenChromDnaseK562G1phasePk\
type narrowPeak\
wgEncodeSydhHistoneK562H3k27me3bUcdPk K562 H3K27me3 narrowPeak K562 H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 7 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel K562 H3K27me3\
subGroups view=Peaks factor=H3K27me3B cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k27me3bUcdPk\
type narrowPeak\
wgEncodeUchicagoTfbsK562EjunbControlPk K562 JunB/GFP Pk narrowPeak K562 JunB GFP-tag TFBS Peaks from ENCODE/UChicago 3 7 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 JunB GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 JunB/GFP Pk\
subGroups view=Peaks factor=JunB cellType=K562 control=ControlJunB rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EjunbControlPk\
type narrowPeak\
wgEncodeUncBsuProtK562NucleusSig K562 nucleus peptideMapping K562 Nucleus Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU 2 7 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Nucleus Proteogenomic Hg19 Mapping Hits from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtViewSignal\
shortLabel K562 nucleus\
subGroups view=Signal cellType=t1K562 localization=nucleus protocol=INGEL\
track wgEncodeUncBsuProtK562NucleusSig\
type peptideMapping\
visibility full\
wgEncodeSydhRnaSeqK562Ifng6hPolyaAln K562 pA+ Ng6h bam K562 polyA+ IFNg6h RNA-seq Alignments from ENCODE/SYDH 0 7 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polyA+ IFNg6h RNA-seq Alignments from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewAlignments off\
shortLabel K562 pA+ Ng6h\
subGroups view=Alignments cellType=t1K562 rnaExtract=polyA treatment=IFNg6h\
track wgEncodeSydhRnaSeqK562Ifng6hPolyaAln\
type bam\
wgEncodeSunyAlbanyTilingK562T7tagRbpAssocRna K562 T7Tag broadPeak K562 T7Tag RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 7 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 T7Tag RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel K562 T7Tag\
subGroups view=RbpAssocRna cellType=t1K562 antibody=T7Tag\
track wgEncodeSunyAlbanyTilingK562T7tagRbpAssocRna\
type broadPeak\
KAPA_HyperExome_hg19_primary_targets KAPA Hyper T bigBed 4 Roche - KAPA HyperExome Primary Target Regions 0 7 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted-KAPA_HyperExome_hg19_primary_targets.bb\
color 100,143,255\
longLabel Roche - KAPA HyperExome Primary Target Regions\
parent exomeProbesets on\
shortLabel KAPA Hyper T\
track KAPA_HyperExome_hg19_primary_targets\
type bigBed 4\
decodeMale Male bigWig 0.0 144.958 deCODE recombination map, male 0 7 0 81 200 127 168 227 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 0,81,200\
configurable on\
longLabel deCODE recombination map, male\
parent maleView\
priority 7\
shortLabel Male\
subGroups view=male\
track decodeMale\
type bigWig 0.0 144.958\
pgMd8 MD8 pgSnp MD8 Genome Variants (all SNPs, 16x exome) 3 7 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MD8 Genome Variants (all SNPs, 16x exome)\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel MD8\
subGroups view=A_PSU id=AC_MD8 type=SNP\
track pgMd8\
primateChainNetViewnet Nets bed 3 Primate Genomes, Chain and Net Alignments 1 7 0 0 0 255 255 0 0 0 0 compGeno 1 longLabel Primate Genomes, Chain and Net Alignments\
parent primateChainNet\
shortLabel Nets\
track primateChainNetViewnet\
view net\
visibility dense\
uMassBrainHistoneSignalS4NeuP1pt3yrsM NeuN+ 1.3yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN+ D4) Gender-male Age-1.3 2 7 41 158 41 148 206 148 0 0 0 regulation 0 color 41,158,41\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D4) Gender-male Age-1.3\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 1.3yrs M\
subGroups view=Signal donor=e_4 cellType=norm sex=male age=b_young\
track uMassBrainHistoneSignalS4NeuP1pt3yrsM\
type bigWig\
nhekInsitu NHEK Hi-C hic In situ Hi-C Chromatin Structure on NHEK 0 7 0 0 0 127 127 127 0 0 0 regulation 1 bigDataUrl /gbdb/hg19/bbi/hic/GSE63525_NHEK_combined.hic\
longLabel In situ Hi-C Chromatin Structure on NHEK\
parent rao2014Hic off\
shortLabel NHEK Hi-C\
track nhekInsitu\
type hic\
wgEncodeRegMarkH3k4me1Nhlf NHLF bigWig 0 6866 H3K4Me1 Mark (Often Found Near Regulatory Elements) on NHLF Cells from ENCODE 0 7 255 128 212 255 191 233 0 0 0 regulation 1 color 255,128,212\
longLabel H3K4Me1 Mark (Often Found Near Regulatory Elements) on NHLF Cells from ENCODE\
parent wgEncodeRegMarkH3k4me1\
shortLabel NHLF\
table wgEncodeBroadHistoneNhlfH3k4me1StdSig\
track wgEncodeRegMarkH3k4me1Nhlf\
type bigWig 0 6866\
wgEncodeRegMarkH3k4me3Nhlf NHLF bigWig 0 19229 H3K4Me3 Mark (Often Found Near Promoters) on NHLF Cells from ENCODE 0 7 255 128 212 255 191 233 0 0 0 regulation 1 color 255,128,212\
longLabel H3K4Me3 Mark (Often Found Near Promoters) on NHLF Cells from ENCODE\
parent wgEncodeRegMarkH3k4me3\
shortLabel NHLF\
table wgEncodeBroadHistoneNhlfH3k4me3StdSig\
track wgEncodeRegMarkH3k4me3Nhlf\
type bigWig 0 19229\
wgEncodeRegMarkH3k27acNhlf NHLF bigWig 0 3851 H3K27Ac Mark (Often Found Near Regulatory Elements) on NHLF Cells from ENCODE 2 7 255 128 212 255 191 233 0 0 0 regulation 1 color 255,128,212\
longLabel H3K27Ac Mark (Often Found Near Regulatory Elements) on NHLF Cells from ENCODE\
parent wgEncodeRegMarkH3k27ac\
shortLabel NHLF\
table wgEncodeBroadHistoneNhlfH3k27acStdSig\
track wgEncodeRegMarkH3k27acNhlf\
type bigWig 0 3851\
noAFmutG No MaxAF Mutation: G bigWig -1.29334 0.75731 BayesDel v1 Score (without MaxAF): Mutation is G 0 7 234 167 57 244 211 156 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 bigDataUrl /gbdb/hg19/bayesDel/NoAFBayesDelMutG.bw\
color 234, 167, 57\
html predictionScoresSuper\
longLabel BayesDel v1 Score (without MaxAF): Mutation is G\
maxHeightPixels 128:20:8\
parent bayesDel on\
shortLabel No MaxAF Mutation: G\
track noAFmutG\
type bigWig -1.29334 0.75731\
visibility hide\
windowingFunction mean+whiskers\
xenoEst Other ESTs psl xeno Non-Human ESTs from GenBank 0 7 0 0 0 127 127 127 1 0 0 https://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?form=4&db=n&term=$$
Description
\
\
This track displays translated blat alignments of expressed sequence tags \
(ESTs) in GenBank from organisms other than human.\
ESTs are single-read sequences, typically about 500 bases in length, that \
usually represent fragments of transcribed genes.
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for \
PSL alignment tracks. In dense display mode, the items that\
are more darkly shaded indicate matches of better quality.
\
\
The strand information (+/-) for this track is in two parts. The\
first + or - indicates the orientation of the query sequence whose\
translated protein produced the match. The second + or - indicates the\
orientation of the matching translated genomic sequence. Because the two\
orientations of a DNA sequence give different predicted protein sequences,\
there are four combinations. ++ is not the same as --, nor is +- the same\
as -+.
\
\
The description page for this track has a filter that can be used to change \
the display mode, alter the color, and include/exclude a subset of items \
within the track. This may be helpful when many items are shown in the track \
display, especially when only some are relevant to the current task.
\
\
To use the filter:\
\
Type a term in one or more of the text boxes to filter the EST\
display. For example, to apply the filter to all ESTs expressed in a specific\
organ, type the name of the organ in the tissue box. To view the list of \
valid terms for each text box, consult the table in the Table Browser that \
corresponds to the factor on which you wish to filter. For example, the \
"tissue" table contains all the types of tissues that can be \
entered into the tissue text box. Multiple terms may be entered at once, \
separated by a space. Wildcards may also be used in the\
filter.\
If filtering on more than one value, choose the desired combination\
logic. If "and" is selected, only ESTs that match all filter \
criteria will be highlighted. If "or" is selected, ESTs that \
match any one of the filter criteria will be highlighted.\
Choose the color or display characteristic that should be used to \
highlight or include/exclude the filtered items. If "exclude" is \
chosen, the browser will not display ESTs that match the filter criteria. \
If "include" is selected, the browser will display only those \
ESTs that match the filter criteria.\
\
\
\
This track may also be configured to display base labeling, a feature that\
allows the user to display all bases in the aligning sequence or only those\
that differ from the genomic sequence. For more information about this option,\
go to the\
\
Base Coloring for Alignment Tracks page.\
Several types of alignment gap may also be colored;\
for more information, go to the\
\
Alignment Insertion/Deletion Display Options page.\
\
\
Methods
\
\
To generate this track, the ESTs were aligned against the genome using \
blat. When a single EST aligned in multiple places, the \
alignment having the highest base identity was found. Only alignments \
having a base identity level within 0.5% of the best and at least 96% base \
identity with the genomic sequence were kept.
\
\
Credits
\
\
This track was produced at UCSC from EST sequence data submitted to the \
international public sequence databases by scientists worldwide.
\
\
References
\
\
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW.\
\
GenBank.\
Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42.\
PMID: 23193287; PMC: PMC3531190\
\
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
rna 1 baseColorUseSequence genbank\
group rna\
indelDoubleInsert on\
indelQueryInsert on\
longLabel Non-Human ESTs from GenBank\
priority 7\
shortLabel Other ESTs\
spectrum on\
track xenoEst\
type psl xeno\
url https://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?form=4&db=n&term=$$\
visibility hide\
polyASeqSitesMaqcBrain1Fwd PolyA-Seq MaqcBrain1 bigWig 0.250000 62850.468750 Poly(A)-tail sequencing of MAQC Brain (replicate 1) from Merck (Fwd strand) 2 7 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of MAQC Brain (replicate 1) from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq MaqcBrain1\
subGroups view=Signal tissType=MaqcBrain1 strand=fwd\
track polyASeqSitesMaqcBrain1Fwd\
type bigWig 0.250000 62850.468750\
primateChainNet Primate Chain/Net bed 3 Primate Genomes, Chain and Net Alignments 0 7 0 0 0 255 255 0 0 0 0
Description
\
Chain Track
\
\
The chain track shows alignments of human (Feb. 2009 (GRCh37/hg19)) to\
other genomes using a gap scoring system that allows longer gaps \
than traditional affine gap scoring systems. It can also tolerate gaps in both\
human and the other genome simultaneously. These \
"double-sided" gaps can be caused by local inversions and \
overlapping deletions in both species. \
\
The chain track displays boxes joined together by either single or\
double lines. The boxes represent aligning regions.\
Single lines indicate gaps that are largely due to a deletion in the\
other assembly or an insertion in the human assembly.\
Double lines represent more complex gaps that involve substantial\
sequence in both species. This may result from inversions, overlapping\
deletions, an abundance of local mutation, or an unsequenced gap in one\
species. In cases where multiple chains align over a particular region of\
the other genome, the chains with single-lined gaps are often \
due to processed pseudogenes, while chains with double-lined gaps are more \
often due to paralogs and unprocessed pseudogenes.
\
\
In the "pack" and "full" display\
modes, the individual feature names indicate the chromosome, strand, and\
location (in thousands) of the match for each matching alignment.
\
\
Net Track
\
\
The net track shows the best human/other chain for \
every part of the other genome. It is useful for\
finding orthologous regions and for studying genome\
rearrangement. The human sequence used in this annotation is from\
the Feb. 2009 (GRCh37/hg19) assembly.
\
\
Display Conventions and Configuration
\
Chain Track
\
By default, the chains to chromosome-based assemblies are colored\
based on which chromosome they map to in the aligning organism. To turn\
off the coloring, check the "off" button next to: Color\
track based on chromosome.
\
\
To display only the chains of one chromosome in the aligning\
organism, enter the name of that chromosome (e.g. chr4) in box next to: \
Filter by chromosome.
\
\
Net Track
\
\
In full display mode, the top-level (level 1)\
chains are the largest, highest-scoring chains that\
span this region. In many cases gaps exist in the\
top-level chain. When possible, these are filled in by\
other chains that are displayed at level 2. The gaps in \
level 2 chains may be filled by level 3 chains and so\
forth.
\
\
In the graphical display, the boxes represent ungapped \
alignments; the lines represent gaps. Click\
on a box to view detailed information about the chain\
as a whole; click on a line to display information\
about the gap. The detailed information is useful in determining\
the cause of the gap or, for lower level chains, the genomic\
rearrangement.
\
\
Individual items in the display are categorized as one of four types\
(other than gap):
\
\
Top - the best, longest match. Displayed on level 1.\
Syn - line-ups on the same chromosome as the gap in the level above\
it.\
Inv - a line-up on the same chromosome as the gap above it, but in \
the opposite orientation.\
NonSyn - a match to a chromosome different from the gap in the \
level above.\
\
\
Methods
\
Chain track
\
\
Transposons that have been inserted since the human/other\
split were removed from the assemblies. The abbreviated genomes were\
aligned with lastz, and the transposons were added back in.\
The resulting alignments were converted into axt format using the lavToAxt\
program. The axt alignments were fed into axtChain, which organizes all\
alignments between a single human chromosome and a single\
chromosome from the other genome into a group and creates a kd-tree out\
of the gapless subsections (blocks) of the alignments. A dynamic program\
was then run over the kd-trees to find the maximally scoring chains of these\
blocks.\
\
\
\
\
\
The following lastz matrix was used for the alignments to: Chimp, \
Gorilla, Orangutan, Gibbon, Rhesus, Baboon and Marmoset\
\
\
\
A
C
G
T
\
A
90
-330
-236
-356
\
C
-330
100
-318
-236
\
\
G
-236
-318
100
-330
\
T
-356
-236
-330
90
\
\
\
\
\
\
The following lastz matrix was used for the alignments to: Tarsier, \
Mouse Lemur and Bushbaby\
\
\
A
C
G
T
\
A
91
-114
-31
-123
\
C
-114
100
-125
-31
\
\
G
-31
-125
100
-114
\
T
-123
-31
-114
91
\
\
\
\
For the alignments to: Chimp, Gorilla, Orangutan, Gibbon, Rhesus,\
Baboon and Marmoset, chains scoring below a minimum\
score of '5000' were discarded; the remaining chains\
are displayed in this track. The linear gap matrix used with axtChain: \
\
\
For the alignments to: Tarsier, Mouse Lemur and Bushbaby, chains scoring\
below a minimum score of '3000' were discarded; the remaining chains\
are displayed in this track. The same linear gap matrix show above\
was used with axtChain.\
\
Chains for low-coverage assemblies for which no browser has been built \
(Gorilla, Baboon, Tarsier, Mouse Lemur and Bushbaby) are not available as\
browser tracks, but only from \
downloads.\
\
Chains were derived from lastz alignments, using the methods\
described on the chain tracks description pages, and sorted with the \
highest-scoring chains in the genome ranked first. The program\
chainNet was then used to place the chains one at a time, trimming them as \
necessary to fit into sections not already covered by a higher-scoring chain. \
During this process, a natural hierarchy emerged in which a chain that filled \
a gap in a higher-scoring chain was placed underneath that chain. The program \
netSyntenic was used to fill in information about the relationship between \
higher- and lower-level chains, such as whether a lower-level\
chain was syntenic or inverted relative to the higher-level chain. \
The program netClass was then used to fill in how much of the gaps and chains \
contained Ns (sequencing gaps) in one or both species and how much\
was filled with transposons inserted before and after the two organisms \
diverged.
\
\
Credits
\
\
Lastz (previously known as blastz) was developed at\
Pennsylvania State University by \
Minmei Hou, Scott Schwartz, Zheng Zhang, and Webb Miller with advice from\
Ross Hardison.
\
\
Lineage-specific repeats were identified by Arian Smit and his \
RepeatMasker\
program.
\
\
The axtChain program was developed at the University of California at \
Santa Cruz by Jim Kent with advice from Webb Miller and David Haussler.
\
\
The browser display and database storage of the chains and nets were created\
by Robert Baertsch and Jim Kent.
\
\
The chainNet, netSyntenic, and netClass programs were\
developed at the University of California\
Santa Cruz by Jim Kent.
\
The RefSeq Genes track shows known human protein-coding and\
non-protein-coding genes taken from the NCBI RNA reference sequences\
collection (RefSeq). The data underlying this track are updated weekly.
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Display Conventions and Configuration
\
\
\
This track follows the display conventions for\
\
gene prediction tracks.\
The color shading indicates the level of review the RefSeq record has\
undergone: predicted (light), provisional (medium), reviewed (dark).\
\
\
\
The item labels and display colors of features within this track can be\
configured through the controls at the top of the track description page.\
\
Label: By default, items are labeled by gene name. Click the\
appropriate Label option to display the accession name instead of the gene\
name, show both the gene and accession names, or turn off the label\
completely.
\
Codon coloring: This track contains an optional codon coloring\
feature that allows users to quickly validate and compare gene predictions.\
To display codon colors, select the genomic codons option from the\
Color track by codons pull-down menu. For more information about this\
feature, go to the\
\
Coloring Gene Predictions and Annotations by Codon page.
\
Hide non-coding genes: By default, both the protein-coding and\
non-protein-coding genes are displayed. If you wish to see only the coding\
genes, click this box.
\
\
\
\
Methods
\
\
\
RefSeq RNAs were aligned against the human genome using BLAT. Those\
with an alignment of less than 15% were discarded. When a single RNA\
aligned in multiple places, the alignment having the highest base identity\
was identified. Only alignments having a base identity level within 0.1% of\
the best and at least 96% base identity with the genomic sequence were kept.\
\
\
Credits
\
\
\
This track was produced at UCSC from RNA sequence data generated by scientists\
worldwide and curated by the NCBI\
RefSeq project.\
\
genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
color 12,12,120\
dataVersion \
group genes\
idXref hgFixed.refLink mrnaAcc name\
longLabel UCSC annotations of RefSeq RNAs (NM_* and NR_*)\
parent refSeqComposite off\
priority 7\
shortLabel UCSC RefSeq\
track refGene\
type genePred refPep refMrna\
visibility dense\
dhcVcfHGDP00927 Yoruba Variants vcfTabix Yoruba Individual (HGDP00927) Variant Calls 0 7 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Yoruba Individual (HGDP00927) Variant Calls\
parent dhcVcfModern\
priority 7\
shortLabel Yoruba Variants\
track dhcVcfHGDP00927\
vcfDoMaf off\
netMelGal1 Turkey Net netAlign melGal1 chainMelGal1 Turkey (Dec. 2009 (TGC Turkey_2.01/melGal1)) Alignment Net 1 8 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Turkey (Dec. 2009 (TGC Turkey_2.01/melGal1)) Alignment Net\
otherDb melGal1\
parent vertebrateChainNetViewnet off\
shortLabel Turkey Net\
subGroups view=net species=s007a clade=c01\
track netMelGal1\
type netAlign melGal1 chainMelGal1\
netNomLeu3 Gibbon Net netAlign nomLeu3 chainNomLeu3 Gibbon (Oct. 2012 (GGSC Nleu3.0/nomLeu3)) Alignment Net 1 8 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Gibbon (Oct. 2012 (GGSC Nleu3.0/nomLeu3)) Alignment Net\
otherDb nomLeu3\
parent primateChainNetViewnet off\
shortLabel Gibbon Net\
subGroups view=net species=s014 clade=c00\
track netNomLeu3\
type netAlign nomLeu3 chainNomLeu3\
netOchPri3 Pika Net netAlign ochPri3 chainOchPri3 Pika (May 2012 (OchPri3.0/ochPri3)) Alignment Net 1 8 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Pika (May 2012 (OchPri3.0/ochPri3)) Alignment Net\
otherDb ochPri3\
parent placentalChainNetViewnet off\
shortLabel Pika Net\
subGroups view=net species=s018 clade=c00\
track netOchPri3\
type netAlign ochPri3 chainOchPri3\
wgEncodeHaibMethylRrbsA549Dm002p7dHaibSitesRep2 A549 2 bed 9 + A549 DMSO 0.02% 7 d Methyl RRBS Rep 2 from ENCODE/HudsonAlpha 1 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DMSO 0.02% 7 d Methyl RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel A549 2\
subGroups cellType=t2A549 obtainedBy=HAIB treatment=DM002P7D rep=rep2\
track wgEncodeHaibMethylRrbsA549Dm002p7dHaibSitesRep2\
type bed 9 +\
encTfChipPkENCFF134CPX A549 CREB1 2 narrowPeak Transcription Factor ChIP-seq Peaks of CREB1 in A549 from ENCODE 3 (ENCFF134CPX) 1 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CREB1 in A549 from ENCODE 3 (ENCFF134CPX)\
parent encTfChipPk off\
shortLabel A549 CREB1 2\
subGroups cellType=A549 factor=CREB1\
track encTfChipPkENCFF134CPX\
wgEncodeHaibRnaSeqA549Dex100pmAlnRep2 A549 DEX100pM 2 bam A549 DEX 1 hr 100 pM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 8 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 100 pM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX100pM 2\
subGroups view=Alignments cellType=t2A549 treatment=DEX100PM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex100pmAlnRep2\
type bam\
wgEncodeUwDgfA549Raw A549 Raw bigWig 1.000000 784854.000000 A549 DNaseI DGF Raw Signal from ENCODE/UW 0 8 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel A549 Raw\
subGroups view=zRaw cellType=t2A549 treatment=aNONE rep=rep1\
track wgEncodeUwDgfA549Raw\
type bigWig 1.000000 784854.000000\
agilentHrd1x1m Ag HRD 1x1m bed 4 . Agilent SurePrint G3 Human High-Resolution Microarray 1x1M AMADID 023642 0 8 255 128 0 255 191 127 0 0 0 varRep 1 color 255,128,0\
longLabel Agilent SurePrint G3 Human High-Resolution Microarray 1x1M AMADID 023642\
parent genotypeArrays\
priority 8\
shortLabel Ag HRD 1x1m\
track agilentHrd1x1m\
type bed 4 .\
burgeRnaSeqGemMapperAlignViewAlignments Alignments bed 12 Burge Lab RNA-seq Aligned by GEM Mapper 1 8 12 12 120 133 133 187 0 0 0 expression 1 color 12,12,120\
longLabel Burge Lab RNA-seq Aligned by GEM Mapper\
maxWindowToDraw 50000000\
parent burgeRnaSeqGemMapperAlign\
shortLabel Alignments\
track burgeRnaSeqGemMapperAlignViewAlignments\
type bed 12\
view Alignments\
visibility dense\
burgeRnaSeqGemMapperAlignViewRawSignal All Raw Signal bedGraph 4 Burge Lab RNA-seq Aligned by GEM Mapper 2 8 46 0 184 150 127 219 0 0 0 expression 0 autoScale on\
color 46,0,184\
longLabel Burge Lab RNA-seq Aligned by GEM Mapper\
maxHeightPixels 100:24:16\
parent burgeRnaSeqGemMapperAlign\
shortLabel All Raw Signal\
track burgeRnaSeqGemMapperAlignViewRawSignal\
transformFunc NONE\
type bedGraph 4\
view RawSignal\
viewLimits 0:1000\
visibility full\
windowingFunction maximum\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_ctss_rev AorticSmsToFgf2_00hr15minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_reverse 0 8 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep2%20%28LK5%29.CNhs13359.12741-135I5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12741-135I5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr15minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_tpm_rev AorticSmsToFgf2_00hr15minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_reverse 1 8 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep2%20%28LK5%29.CNhs13359.12741-135I5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep2 (LK5)_CNhs13359_12741-135I5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12741-135I5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr15minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep2LK5_CNhs13359_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12741-135I5\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainCaudate brainCaudate bed 9 + Expression QTL in Brain_Caudate_basal_ganglia from GTEx V6 0 8 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainCaudate where name='%s'\
longLabel Expression QTL in Brain_Caudate_basal_ganglia from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainCaudate\
track gtexEqtlTissueBrainCaudate\
burgeRnaSeqGemMapperAlign Burge RNA-seq bed 12 Burge Lab RNA-seq Aligned by GEM Mapper 0 8 0 0 0 127 127 127 0 0 0
Description
\
\
RNA-Seq is a method for mapping and quantifying the transcriptome of any\
organism that has a genomic DNA sequence assembly. RNA-Seq was performed \
by reverse-transcribing an RNA sample into cDNA, followed by high \
throughput DNA sequencing on an Illumina Genome Analyser.\
This track shows the RNA-seq data published by\
Chris Burge's lab\
(Wang et al.,2008) mapped to the genome using GEM Mapper \
by the \
Guigó lab at the Center for Genomic Regulation\
(CRG). The subtracks display \
RNA-seq data from various tissues/cell lines:\
\
Brain
\
Liver
\
Heart
\
Muscle
\
Colon
\
Adipose
\
Testes
\
Lymph Node
\
Breast
\
BT474 - Breast Tumour Cell Line
\
HME - Human Mammary Epithelial Cell Line
\
MCF7 - Breast Adenocarcinoma Cell Line
\
MB-435 - Breast Ductal Adenocarcinoma Cell Line*
\
T-47D - Breast Ductal Carcinoma Cell Line
\
\
\
Tissues were obtained from unrelated anonymous donors. HME is a mammary \
epithelial cell line immortalized with telomerase reverse transcriptase (TERT). The other cell lines are breast cancer cell lines produced from invasive \
ductal carcinomas (ATCC). \
\
*NOTE: studies have shown that the MDA-MB-435 cell line appears to have been\
contaminated with the M14 melanoma cell line. See this \
entry on\
the American Type Culture Collection (ATCC) website for more details.\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
The following views are in this track:\
\
Raw Signal\
Density graph (bedGraph) of signal enrichment based on a normalized aligned \
read density (counts per million mapped reads for each subtrack). This \
normalized measure assists in visualizing the relative amount of a given \
transcript across multiple samples. \
Alignments\
The Alignments view shows reads mapped to the genome. \
\
\
Methods
\
\
The group at CRG obtained RNA-seq reads, generated by Wang et al. \
(2008), from the Short Read Archive section of GEO at NCBI under accession \
number GSE12946. Using their GEM mapper program, CRG mapped the \
RNA-seq reads to the genome and transcriptome (GENCODE Release 3, October \
2009 Freeze). GEM mapper was run using default parameters and allowing up \
to two mismatches in the read alignments. Since mapping to the transcriptome \
depends on length of the reads mapped, reads were only mapped for the \
14 tissues or cell lines where reads were of length 32 bp. This excluded\
reads from MAQC human cell lines (mixed human brain) and MAQC UHR (mixed \
human cell lines). \
\
Credits
\
\
These data were generated by Chris Burge's lab at the Massachusetts Institute\
of Technology and by Roderic Guigó's lab at the Center for Genomic\
Regulation (CRG) in Barcelona, Spain. GTF files of the mapped data were\
provided by Thomas Derrien and Paolo Ribeca from CRG. GEM mapper software \
can be obtained\
here.\
\
\
expression 1 compositeTrack on\
configurable on\
dimensions dimensionY=tissueType\
dragAndDrop subTracks\
group expression\
longLabel Burge Lab RNA-seq Aligned by GEM Mapper\
noInherit on\
priority 8\
shortLabel Burge RNA-seq\
sortOrder view=+ tissueType=+\
subGroup1 view Views RawSignal=Raw_Signal Alignments=Alignments\
subGroup2 tissueType Tissue_Type BT474=BT474 HME=HME MB435=MB435 MCF7=MCF7 T47D=T47D adipose=Adipose brain=Brain breast=Breast colon=Colon heart=Heart liver=Liver lymphNode=LymphNode skelMuscle=SkelMuscle testes=Testes\
track burgeRnaSeqGemMapperAlign\
type bed 12\
visibility hide\
dhcHumDerDenAncCcdsNonsynFixed CC Nonsyn Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS Non-synonymous 3 8 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS Non-synonymous\
parent dhcHumDerDenAncCcds\
shortLabel CC Nonsyn Fxd\
subGroups view=Ccds subset=CcdsNonsyn freq=Fixed\
track dhcHumDerDenAncCcdsNonsynFixed\
wgEncodeAwgDnaseUwCd20UniPk CD20+ DNase narrowPeak CD20+ B cell DNaseI HS Uniform Peaks from ENCODE/Analysis 1 8 80 80 80 167 167 167 1 0 0 regulation 1 color 80,80,80\
longLabel CD20+ B cell DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel CD20+ DNase\
subGroups tier=a25 cellType=a25CD20\
track wgEncodeAwgDnaseUwCd20UniPk\
placentalChainNetViewchain Chains bed 3 Non-primate Placental Mammal Genomes, Chain and Net Alignments 3 8 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Non-primate Placental Mammal Genomes, Chain and Net Alignments\
parent placentalChainNet\
shortLabel Chains\
spectrum on\
track placentalChainNetViewchain\
view chain\
visibility pack\
unipDisulfBond Disulf. Bonds bigBed 12 + UniProt Disulfide Bonds 1 8 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipDisulfBond.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Disulfide Bonds\
parent uniprot\
priority 8\
shortLabel Disulf. Bonds\
track unipDisulfBond\
type bigBed 12 +\
visibility dense\
unipDomain Domains bigBed 12 + UniProt Domains 1 8 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipDomain.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Domains\
parent uniprot\
priority 8\
shortLabel Domains\
track unipDomain\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#family_and_domains" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility dense\
wgEncodeDukeMapabilityUniqueness35bp Duke Uniq 35 bigWig 0.000000 1.000000 Uniqueness of 35bp Windows from ENCODE/OpenChrom(Duke) 2 8 0 0 0 127 127 127 0 0 0 map 0 longLabel Uniqueness of 35bp Windows from ENCODE/OpenChrom(Duke)\
parent wgEncodeMapabilityViewDuniq\
shortLabel Duke Uniq 35\
subGroups view=DUNIQ win=w035 lab=DUKE\
track wgEncodeDukeMapabilityUniqueness35bp\
type bigWig 0.000000 1.000000\
affyExonProbeFree Free Probes bed 10 Affymetrix Human Exon Array Free Probes 1 8 0 100 0 127 177 127 0 0 0 expression 1 color 0,100,0\
longLabel Affymetrix Human Exon Array Free Probes\
parent affyExonProbe off\
shortLabel Free Probes\
subGroups view=v2Probe level=L4Free\
track affyExonProbeFree\
type bed 10\
geneHancerClusteredInteractions GH Clusters bigInteract Clustered interactions of GeneHancer regulatory elements and genes 3 8 0 0 0 127 127 127 0 0 0 https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers regulation 1 bigDataUrl /gbdb/hg19/geneHancer/geneHancerInteractionsAll.v2.hg19.bb\
longLabel Clustered interactions of GeneHancer regulatory elements and genes\
parent ghClusteredInteraction off\
shortLabel GH Clusters\
subGroups set=b_ALL view=d_I\
track geneHancerClusteredInteractions\
urlLabel Interaction in GeneCards\
wgEncodeOpenChromSynthGlioblaPk Gliobla Syn Pk bed 9 + Gliobla DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Gliobla DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel Gliobla Syn Pk\
subGroups cellType=t3GLIOBLA treatment=aNone\
track wgEncodeOpenChromSynthGlioblaPk\
type bed 9 +\
wgEncodeFsuRepliChipGm06990WaveSignalRep1 GM06990 1 bigWig -4.089016 1.564421 GM06990 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 8 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM06990 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel GM06990 1\
subGroups view=WaveSignal cellType=t3GM06990 rep=rep1\
track wgEncodeFsuRepliChipGm06990WaveSignalRep1\
type bigWig -4.089016 1.564421\
wgEncodeGisRnaPetGm12878NucleusPapAlnRep1 GM12 nucl pA+ A 1 bam GM12878 nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 8 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel GM12 nucl pA+ A 1\
subGroups view=v3Alignments cellType=aGM12878 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetGm12878NucleusPapAlnRep1\
type bam\
wgEncodeAwgTfbsSydhGm12878Brca1a300IggmusUniPk GM12878 BRCA1 narrowPeak GM12878 TFBS Uniform Peaks of BRCA1_(A300-000A) from ENCODE/Stanford/Analysis 1 8 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of BRCA1_(A300-000A) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 BRCA1\
subGroups tier=a10 cellType=a10GM12878 factor=BRCA1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Brca1a300IggmusUniPk\
wgEncodeBroadHistoneGm12878H3k04me1StdSigV2 GM12878 H3K4m1 bigWig 0.040000 11792.000000 GM12878 H3K4me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 8 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K4me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K4m1\
subGroups view=Signal factor=H3K04ME1 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k04me1StdSigV2\
type bigWig 0.040000 11792.000000\
wgEncodeSunyRipSeqGm12878Pabpc1Pk GM12878 PABPC1 Pk broadPeak GM12878 PABPC1 RIP-seq Analysis from ENCODE/SUNY 2 8 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PABPC1 RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks on\
shortLabel GM12878 PABPC1 Pk\
subGroups view=Peaks factor=PABPC1 cellType=t1GM12878 rep=Pooled\
track wgEncodeSunyRipSeqGm12878Pabpc1Pk\
type broadPeak\
wgEncodeOpenChromChipGm12878Pol2Sig GM12878 Pol2 DS bigWig 0.000000 3.535200 GM12878 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 8 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel GM12878 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878Pol2Sig\
type bigWig 0.000000 3.535200\
wgEncodeUwRepliSeqGm12878ValleysRep1 GM12878 Vly 1 bed 9 GM12878 Repli-seq Valleys Rep 1 from ENCODE/UW 0 8 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel GM12878 Vly 1\
subGroups view=v3Valleys cellType=t1GM12878 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqGm12878ValleysRep1\
type bed 9\
wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il400USigRep2V4 GM78 400 Sg 2 bigWig 0.017500 93589.914062 GM12878 400 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 8 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 400 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel GM78 400 Sg 2\
subGroups view=Signal cellType=t1GM12878 insertLength=il400 readType=a1R2x75400 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Th1014Il400USigRep2V4\
type bigWig 0.017500 93589.914062\
wgEncodeHaibTfbsGm12878Atf3Pcr1xRawRep2 GM78 ATF3 PCR1 2 bigWig 0.219721 145.399994 GM12878 ATF3 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 8 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ATF3 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ATF3 PCR1 2\
subGroups view=RawSignal factor=ATF3 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Atf3Pcr1xRawRep2\
type bigWig 0.219721 145.399994\
wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaPlusRawSigRep2 GM78 cel pA- + 2 bigWig 1.000000 2689835.000000 GM12878 whole cell polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 8 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig on\
shortLabel GM78 cel pA- + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 2689835.000000\
wgEncodeSydhTfbsGm12878CfosStdSig GM78 cFOS Std bigWig 0.000000 9471.500000 GM12878 c-FOS Standard ChIP-seq Signal from ENCODE/SYDH 2 8 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 c-FOS Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 cFOS Std\
subGroups view=Signal factor=CFOS cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878CfosStdSig\
type bigWig 0.000000 9471.500000\
wgEncodeCshlShortRnaSeqGm12878ChromatinTapMinusRep4 GM78 chrm TAP - 2 bigWig 1.000000 9070952.000000 GM12878 TAP-only chromatin small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 8 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only chromatin small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 chrm TAP - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CHROMATIN protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878ChromatinTapMinusRep4\
type bigWig 1.000000 9070952.000000\
wgEncodeRikenCageGm12878CytosolPapMinusSignalRep1 GM78 cyto pA+ - 1 bigWig 1.000000 461584.000000 GM12878 cytosol polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 8 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 cyto pA+ - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPapMinusSignalRep1\
type bigWig 1.000000 461584.000000\
wgEncodeUwHistoneGm12878H3k27me3StdPkRep1 GM78 H3K27M3 Pk 1 narrowPeak GM12878 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 8 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K27M3 Pk 1\
subGroups view=Peaks factor=H3K27ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdPkRep1\
type narrowPeak\
wgEncodeUncBsuProtGencH1hescCellMudpitmPepMapGcFt H1-hESC Ce M PTM bigBed 12 H1-hESC MudPIT ProtG GENCODE10 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 8 0 107 27 127 181 141 1 0 0 expression 1 color 0,107,27\
longLabel H1-hESC MudPIT ProtG GENCODE10 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel H1-hESC Ce M PTM\
subGroups view=mPepMapGcFt cellType=H1HESC localization=CELL protocol=MUDPIT\
track wgEncodeUncBsuProtGencH1hescCellMudpitmPepMapGcFt\
type bigBed 12\
wgEncodeSunyAlbanyGeneStH1hescElavl1RbpAssocRnaV2 H1hESC ELAVL1 broadPeak H1-hESC ELAV1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 8 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC ELAV1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt on\
shortLabel H1hESC ELAVL1\
subGroups factor=ELAVL1 cellType=t1H1HESC\
track wgEncodeSunyAlbanyGeneStH1hescElavl1RbpAssocRnaV2\
type broadPeak\
wgEncodeUwDnaseH1hescPkRep1 H1hESC Pk 1 narrowPeak H1-hESC DNaseI HS Peaks Rep 1 from ENCODE/UW 1 8 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks\
shortLabel H1hESC Pk 1\
subGroups view=Peaks cellType=t1H1HESC rep=rep1 treatment=None\
track wgEncodeUwDnaseH1hescPkRep1\
type narrowPeak\
hapmapSnpsMEX HapMap SNPs MEX bed 6 + HapMap SNPs from the MEX Population (Mexican Ancestry in Los Angeles, CA, US) 0 8 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the MEX Population (Mexican Ancestry in Los Angeles, CA, US)\
parent hapmapSnps\
priority 8\
shortLabel HapMap SNPs MEX\
track hapmapSnpsMEX\
lincRNAsCTHeart Heart bed 5 + lincRNAs from heart 1 8 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from heart\
parent lincRNAsAllCellType on\
shortLabel Heart\
subGroups view=lincRNAsRefseqExp tissueType=heart\
track lincRNAsCTHeart\
wgEncodeGisChiaPetHelas3Pol2SigRep1 HeLaS3 Pol2 Sig 1 bigWig 1.000000 8395.000000 HeLa-S3 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 8 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal on\
shortLabel HeLaS3 Pol2 Sig 1\
subGroups view=Signal factor=POL2 cellType=t2HELAS3 rep=rep1\
track wgEncodeGisChiaPetHelas3Pol2SigRep1\
type bigWig 1.000000 8395.000000\
wgEncodeUwAffyExonArrayHepg2SimpleSignalRep1 HepG2 1 broadPeak HepG2 Exon array Signal Rep 1 from ENCODE/UW 0 8 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HepG2 1\
subGroups cellType=t2HEPG2 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHepg2SimpleSignalRep1\
type broadPeak\
wgEncodeHaibGenotypeHuvecRegionsRep2 HUVEC 1 bed 9 + HUVEC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 8 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HUVEC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HUVEC 1\
subGroups cellType=t2HUVEC obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeHuvecRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450Imr90SitesRep1 IMR90 bed 9 IMR90 Methylation 450K Bead Array from ENCODE/HAIB 1 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel IMR90 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel IMR90\
subGroups cellType=t2IMR90 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Imr90SitesRep1\
type bed 9\
wgEncodeAwgSegmentationCombinedK562 K562 Combined bed 9 . K562 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation on\
shortLabel K562 Combined\
subGroups tier=t1 cellType=t1K562 method=Combined\
track wgEncodeAwgSegmentationCombinedK562\
type bed 9 .\
wgEncodeUwTfbsK562CtcfStdHotspotsRep1 K562 CTCF Ht 1 broadPeak K562 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 8 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot on\
shortLabel K562 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t1K562 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaSeqK562CytosolPapAlnRep2 K562 cyto pA+ 2 bam K562 cytosol polyA+ RNA-seq Alignments rep 2 from ENCODE/GIS 1 8 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Alignments rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewAlignments on\
shortLabel K562 cyto pA+ 2\
subGroups view=Alignments cellType=t1K562 rnaExtract=longPolyA rep=rep2 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapAlnRep2\
type bam\
wgEncodeAffyRnaChipFiltTransfragsK562CytosolLongnonpolya K562 cyto pA- broadPeak K562 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 8 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 cyto pA-\
subGroups view=FiltTransfrags cellType=t1K562 localization=bCYTOSOL rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsK562CytosolLongnonpolya\
type broadPeak\
wgEncodeOpenChromFaireK562Sig K562 FAIRE DS bigWig 0.000000 0.392200 K562 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 8 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal\
shortLabel K562 FAIRE DS\
subGroups view=SIG cellType=t1K562 treatment=AANONE\
track wgEncodeOpenChromFaireK562Sig\
type bigWig 0.000000 0.392200\
wgEncodeOpenChromDnaseK562G1phaseSig K562 G1 DS bigWig 0.000000 0.855200 K562 G1 phase DNaseI HS Density Signal from ENCODE/Duke 2 8 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 G1 phase DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel K562 G1 DS\
subGroups view=SIG cellType=t1K562 treatment=G1PHASE\
track wgEncodeOpenChromDnaseK562G1phaseSig\
type bigWig 0.000000 0.855200\
wgEncodeSydhHistoneK562H3k27me3bUcdSig K562 H3K27me3 bigWig 1.000000 4955.000000 K562 H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 8 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel K562 H3K27me3\
subGroups view=Signal factor=H3K27me3B cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562H3k27me3bUcdSig\
type bigWig 1.000000 4955.000000\
wgEncodeSunyAlbanyTilingK562RipinputRbpAssocRna K562 Input broadPeak K562 Input RBP Associated RNA by Tiling Array from ENCODE/SUNY 3 8 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 Input RBP Associated RNA by Tiling Array from ENCODE/SUNY\
parent wgEncodeSunyAlbanyTilingView\
shortLabel K562 Input\
subGroups view=RbpAssocRna cellType=t1K562 antibody=ripInput\
track wgEncodeSunyAlbanyTilingK562RipinputRbpAssocRna\
type broadPeak\
wgEncodeUchicagoTfbsK562EjunbControlSig K562 JunB/GFP Sg bigWig -11520.261719 17224.816406 K562 JunB GFP-tag TFBS Signal from ENCODE/UChicago 2 8 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 JunB GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 JunB/GFP Sg\
subGroups view=Signal factor=JunB cellType=K562 control=ControlJunB rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EjunbControlSig\
type bigWig -11520.261719 17224.816406\
wgEncodeDukeAffyExonK562NabutSimpleSignalRep1 K562 NaBut 1 bigBed 6 + K562 NaBut Exon array Signal Rep 1 from ENCODE/Duke 0 8 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 NaBut Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 NaBut 1\
subGroups cellType=t1K562 treatment=NABUT rep=rep1\
track wgEncodeDukeAffyExonK562NabutSimpleSignalRep1\
type bigBed 6 +\
wgEncodeSydhRnaSeqK562Ifng6hPolyaRaw K562 pA+ Ng6h bigWig 0.000000 184050.000000 K562 polyA+ IFNg6h RNA-seq Raw Signal from ENCODE/SYDH 2 8 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polyA+ IFNg6h RNA-seq Raw Signal from ENCODE/SYDH\
parent wgEncodeSydhRnaSeqViewSignal on\
shortLabel K562 pA+ Ng6h\
subGroups view=RawSignal cellType=t1K562 rnaExtract=polyA treatment=IFNg6h\
track wgEncodeSydhRnaSeqK562Ifng6hPolyaRaw\
type bigWig 0.000000 184050.000000\
dhcVcfHGDP00998 Karit. Variants vcfTabix Karitiana Individual (HGDP00998) Variant Calls 0 8 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Karitiana Individual (HGDP00998) Variant Calls\
parent dhcVcfModern\
priority 8\
shortLabel Karit. Variants\
track dhcVcfHGDP00998\
vcfDoMaf off\
decodeMaleCarrier Male Carry bigWig 0.0 204.214 deCODE recombination map, male carrier 0 8 0 100 180 127 177 217 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 0,100,180\
configurable on\
longLabel deCODE recombination map, male carrier\
parent maleView\
priority 8\
shortLabel Male Carry\
subGroups view=male\
track decodeMaleCarrier\
type bigWig 0.0 204.214\
pgMd8Indel MD8 indels pgSnp MD8 Genome Variants indels 3 8 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MD8 Genome Variants indels\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel MD8 indels\
subGroups view=A_PSU id=AC_MD8 type=Indel\
track pgMd8Indel\
MGI_Exome_Capture_V4 MGI Easy V4 T bigBed MGI - Easy Exome Capture V4 Target Regions 1 8 220 38 127 237 146 191 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/MGI_Exome_Capture_V4.bb\
color 220,38,127\
longLabel MGI - Easy Exome Capture V4 Target Regions\
parent exomeProbesets off\
shortLabel MGI Easy V4 T\
track MGI_Exome_Capture_V4\
type bigBed\
visibility dense\
placentalChainNetViewnet Nets bed 3 Non-primate Placental Mammal Genomes, Chain and Net Alignments 1 8 0 0 0 255 255 0 0 0 0 compGeno 1 longLabel Non-primate Placental Mammal Genomes, Chain and Net Alignments\
parent placentalChainNet\
shortLabel Nets\
track placentalChainNetViewnet\
view net\
visibility dense\
uMassBrainHistoneSignalS5NeuP2pt8yrsF NeuN+ 2.8yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN+ D5) Gender-female Age-2.8 2 8 41 158 41 148 206 148 0 0 0 regulation 0 color 41,158,41\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D5) Gender-female Age-2.8\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 2.8yrs F\
subGroups view=Signal donor=f_5 cellType=norm sex=female age=b_young\
track uMassBrainHistoneSignalS5NeuP2pt8yrsF\
type bigWig\
wgEncodeRegTxnCaltechRnaSeqNhekR2x75Il200SigPooled NHEK bigWig 0 65535 Transcription of NHEK cells from ENCODE 0 8 227 128 255 241 191 255 0 0 0 regulation 1 color 227,128,255\
longLabel Transcription of NHEK cells from ENCODE\
parent wgEncodeRegTxn\
priority 8\
shortLabel NHEK\
track wgEncodeRegTxnCaltechRnaSeqNhekR2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeBroadHmmNhekHMM NHEK ChromHMM bed 9 . NHEK Chromatin State Segmentation by HMM from ENCODE/Broad 0 8 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NHEK Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel NHEK ChromHMM\
subGroups cellType=t3NHEK\
track wgEncodeBroadHmmNhekHMM\
type bed 9 .\
noAFmutT No MaxAF Mutation: T bigWig -1.29334 0.75731 BayesDel v1 Score (without MaxAF): Mutation is T 0 8 230 152 22 242 203 138 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 bigDataUrl /gbdb/hg19/bayesDel/NoAFBayesDelMutT.bw\
color 230, 152, 22\
html predictionScoresSuper\
longLabel BayesDel v1 Score (without MaxAF): Mutation is T\
maxHeightPixels 128:20:8\
parent bayesDel on\
shortLabel No MaxAF Mutation: T\
track noAFmutT\
type bigWig -1.29334 0.75731\
visibility hide\
windowingFunction mean+whiskers\
xenoMrna Other mRNAs psl xeno Non-Human mRNAs from GenBank 0 8 0 0 0 127 127 127 1 0 0
Description
\
\
\
This track displays translated blat alignments of vertebrate and\
invertebrate mRNA in\
\
GenBank from organisms other than human.\
\
\
Display Conventions and Configuration
\
\
\
This track follows the display conventions for\
\
PSL alignment tracks. In dense display mode, the items that\
are more darkly shaded indicate matches of better quality.\
\
\
\
The strand information (+/-) for this track is in two parts. The\
first + indicates the orientation of the query sequence whose\
translated protein produced the match (here always 5' to 3', hence +).\
The second + or - indicates the orientation of the matching\
translated genomic sequence. Because the two orientations of a DNA\
sequence give different predicted protein sequences, there are four\
combinations. ++ is not the same as --, nor is +- the same as -+.\
\
\
\
The description page for this track has a filter that can be used to change\
the display mode, alter the color, and include/exclude a subset of items\
within the track. This may be helpful when many items are shown in the track\
display, especially when only some are relevant to the current task.\
\
\
\
To use the filter:\
\
Type a term in one or more of the text boxes to filter the mRNA\
display. For example, to apply the filter to all mRNAs expressed in a specific\
organ, type the name of the organ in the tissue box. To view the list of\
valid terms for each text box, consult the table in the Table Browser that\
corresponds to the factor on which you wish to filter. For example, the\
"tissue" table contains all the types of tissues that can be\
entered into the tissue text box. Multiple terms may be entered at once,\
separated by a space. Wildcards may also be used in the filter.
\
If filtering on more than one value, choose the desired combination\
logic. If "and" is selected, only mRNAs that match all filter\
criteria will be highlighted. If "or" is selected, mRNAs that\
match any one of the filter criteria will be highlighted.
\
Choose the color or display characteristic that should be used to\
highlight or include/exclude the filtered items. If "exclude" is\
chosen, the browser will not display mRNAs that match the filter criteria.\
If "include" is selected, the browser will display only those\
mRNAs that match the filter criteria.
\
\
\
\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare mRNAs against the genomic sequence. For more\
information about this option, go to the\
\
Codon and Base Coloring for Alignment Tracks page.\
Several types of alignment gap may also be colored;\
for more information, go to the\
\
Alignment Insertion/Deletion Display Options page.\
\
\
Methods
\
\
\
The mRNAs were aligned against the human genome using translated blat.\
When a single mRNA aligned in multiple places, the alignment having the\
highest base identity was found. Only those alignments having a base\
identity level within 1% of the best and at least 25% base identity with the\
genomic sequence were kept.\
\
\
Credits
\
\
\
The mRNA track was produced at UCSC from mRNA sequence data\
submitted to the international public sequence databases by\
scientists worldwide.\
\
\
References
\
\
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW.\
\
GenBank.\
Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42.\
PMID: 23193287; PMC: PMC3531190\
\
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
The chain track shows alignments of human (Feb. 2009 (GRCh37/hg19)) to\
other genomes using a gap scoring system that allows longer gaps \
than traditional affine gap scoring systems. It can also tolerate gaps in both\
human and the other genome simultaneously. These \
"double-sided" gaps can be caused by local inversions and \
overlapping deletions in both species. \
\
The chain track displays boxes joined together by either single or\
double lines. The boxes represent aligning regions.\
Single lines indicate gaps that are largely due to a deletion in the\
other assembly or an insertion in the human assembly.\
Double lines represent more complex gaps that involve substantial\
sequence in both species. This may result from inversions, overlapping\
deletions, an abundance of local mutation, or an unsequenced gap in one\
species. In cases where multiple chains align over a particular region of\
the other genome, the chains with single-lined gaps are often \
due to processed pseudogenes, while chains with double-lined gaps are more \
often due to paralogs and unprocessed pseudogenes.
\
\
In the "pack" and "full" display\
modes, the individual feature names indicate the chromosome, strand, and\
location (in thousands) of the match for each matching alignment.
\
\
Net Track
\
\
The net track shows the best human/other chain for \
every part of the other genome. It is useful for\
finding orthologous regions and for studying genome\
rearrangement. The human sequence used in this annotation is from\
the Feb. 2009 (GRCh37/hg19) assembly.
\
\
Display Conventions and Configuration
\
Chain Track
\
By default, the chains to chromosome-based assemblies are colored\
based on which chromosome they map to in the aligning organism. To turn\
off the coloring, check the "off" button next to: Color\
track based on chromosome.
\
\
To display only the chains of one chromosome in the aligning\
organism, enter the name of that chromosome (e.g. chr4) in box next to: \
Filter by chromosome.
\
\
Net Track
\
\
In full display mode, the top-level (level 1)\
chains are the largest, highest-scoring chains that\
span this region. In many cases gaps exist in the\
top-level chain. When possible, these are filled in by\
other chains that are displayed at level 2. The gaps in \
level 2 chains may be filled by level 3 chains and so\
forth.
\
\
In the graphical display, the boxes represent ungapped \
alignments; the lines represent gaps. Click\
on a box to view detailed information about the chain\
as a whole; click on a line to display information\
about the gap. The detailed information is useful in determining\
the cause of the gap or, for lower level chains, the genomic\
rearrangement.
\
\
Individual items in the display are categorized as one of four types\
(other than gap):
\
\
Top - the best, longest match. Displayed on level 1.\
Syn - line-ups on the same chromosome as the gap in the level above\
it.\
Inv - a line-up on the same chromosome as the gap above it, but in \
the opposite orientation.\
NonSyn - a match to a chromosome different from the gap in the \
level above.\
\
\
Methods
\
Chain track
\
\
Transposons that have been inserted since the human/other\
split were removed from the assemblies. The abbreviated genomes were\
aligned with lastz, and the transposons were added back in.\
The resulting alignments were converted into axt format using the lavToAxt\
program. The axt alignments were fed into axtChain, which organizes all\
alignments between a single human chromosome and a single\
chromosome from the other genome into a group and creates a kd-tree out\
of the gapless subsections (blocks) of the alignments. A dynamic program\
was then run over the kd-trees to find the maximally scoring chains of these\
blocks.\
\
\
\
Chains scoring below a minimum score of '5000' were discarded;\
the remaining chains are displayed in this track. The linear gap\
matrix used with axtChain: \
\
Chains were derived from lastz alignments, using the methods\
described on the chain tracks description pages, and sorted with the \
highest-scoring chains in the genome ranked first. The program\
chainNet was then used to place the chains one at a time, trimming them as \
necessary to fit into sections not already covered by a higher-scoring chain. \
During this process, a natural hierarchy emerged in which a chain that filled \
a gap in a higher-scoring chain was placed underneath that chain. The program \
netSyntenic was used to fill in information about the relationship between \
higher- and lower-level chains, such as whether a lower-level\
chain was syntenic or inverted relative to the higher-level chain. \
The program netClass was then used to fill in how much of the gaps and chains \
contained Ns (sequencing gaps) in one or both species and how much\
was filled with transposons inserted before and after the two organisms \
diverged.
\
\
Credits
\
\
Lastz (previously known as blastz) was developed at\
Pennsylvania State University by \
Minmei Hou, Scott Schwartz, Zheng Zhang, and Webb Miller with advice from\
Ross Hardison.
\
\
Lineage-specific repeats were identified by Arian Smit and his \
RepeatMasker\
program.
\
\
The axtChain program was developed at the University of California at \
Santa Cruz by Jim Kent with advice from Webb Miller and David Haussler.
\
\
The browser display and database storage of the chains and nets were created\
by Robert Baertsch and Jim Kent.
\
\
The chainNet, netSyntenic, and netClass programs were\
developed at the University of California\
Santa Cruz by Jim Kent.
\
The Cold Spring Harbor Lab (CSHL) small RNA track depicts short total RNA sequencing data from ENCODE tissues or sub-cellular compartments of ENCODE cell lines. The protocol used to generate these data produced directional reads from the 5' end of short RNAs, RNAs shorter than 200 nucleotides in length. Libraries were sequenced using an Illumina GAIIx. These data were generated by Cold Spring Harbor Laboratories as a part of the ENCODE Consortium. The ENCODE project seeks to identify and characterize all functional elements in the human genome. In many cases there are datasets of Cap Analysis of Gene Expression (CAGE, see the RIKEN CAGE Loc track), Long RNA-seq (RNAs longer than 200 nucleotides, see the CSHL Long RNA-seq track) and Pair-End di-TAG-RNA (PET-RNA, see the GIS RNA PET track) available from the same biological replicates.
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Display Conventions and Configuration
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This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide. Color differences among the views provide a visual cue for\
distinguishing between the different cell types and compartments.
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This track contains the following views:\
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Contigs
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The Contigs are BED format files representing blocks of overlapping mapped reads from pooled biological replicates. The corresponding number of mapped reads, the RPKM (Reads Per kb per Million reads) value, and the non-parametric Irreproducible Discovery Rate (np-IDR) are reported for each contig.
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Plus and Minus Signal
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The Signal view shows the density of mapped reads on the plus and minus strands (wiggle format).
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Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
Cells were grown according to the approved ENCODE cell culture protocols. Short RNAs between 20 and 200 nucleotides were isolated from total RNA using a Qiagen RNeasy kit (Qiagen #74204) according to the manufacturer's protocol. Purified small RNAs were depleted of ribosomal RNA. To clone different populations the RNA was either left untreated (5' monophosphate RNAs), treated with Tobacco Alkaline Pyrophosphatase (both 5' monophosphate and capped RNAs), or treated with Calf Intestinal Alkaline Phosphatase followed by Tobacco Alkaline Pyrophosphatase (capped RNAs) prior to ligation of a 5' linker.\
The 3' ends were polyadenylated in vitro (or polycytidylated in the case of Generation 0 data) using Poly-A Polymerase.\
Anchored oligo-dT was used to prime the reverse transcriptase reaction and sequencing compatible ends were added in a subsequent PCR step. The libraries were sequenced on the Illumina GAIIx of Hi-Seq from the 5' ends for a total of either 36 or 101 cycles.\
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Complete protocols are available in the Downloads Page.\
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Data Processing and Analysis
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Data from the Gingeras and Guigo labs were preprocessed to remove experimentally derived poly-A tails and Illumina 3' linkers from raw reads. The best alignment to the Illumina 3' linker for each read was determined. If the number of mismatches in the alignment was less than 20% of the aligned length, the read was clipped from the first aligned base. Pre-processed reads were mapped using the STAR algorithm. For a description of STAR, the source code and mapping parameters used, see the STAR project website. Reads mapping 10 times or less are reported in the Signal and Alignment files.
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Mapped reads were discarded if they fell into one of the following categories: 1) it contained five or more consecutive A's, 2) it was less than 16 nucleotides in length, 3) it mapped to more than one genomic position (multiply-mapped reads), 4) it mapped upstream of genomically encoded poly-A sequences. The remaining reads were used both to call contigs and to produce expression values over GENCODE V7 exons. Contigs were generated from overlapping reads in pooled biological replicates.
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Generation 0 data: \
Reads were trimmed to discard any bases following a quality score less than or equal to 20 and converted into FASTA format, thereby discarding quality information for the rest of the pipeline. As a result, the sequence quality scores in the BAM output are all displayed as "40" to indicate no quality information. The read lengths may exceed the insert sizes and consequently introduce 3' adapter sequence into the 3' end of the reads. The 3' sequencing adapter was removed from the reads using a custom clipper program (available at http://hannonlab.cshl.edu/fastx_toolkit/), which aligned the adapter sequence to the short-reads using up to two mismatches and no indels (insertions or deletions).. Regions that aligned were clipped off from the read. Terminal C nucleotides introduced at the 3' end of the RNA via the cloning procedure were also trimmed. Reads were aligned to the human genome (version hg19, using the gender build appropriate to the sample in question - female/male) using Bowtie (Langmead B et al., 2009). Reads that mapped 20 or fewer times with two or less mismatches were reported. See Release Notes for more information on Generation 0 datasets.\
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Verification
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The mapped data were visually inspected to verify the majority of the reads were mapping the 5' ends of annotated small RNA classes.\
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Release Notes
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This is Release 3 (July 2012) of CSHL Small RNA-seq with new data from the Gingeras lab. It includes twenty-two new cell lines:\
CD20+, CD34+_Mobilized, HAoAF, HAoEC, HCH, HFDPC, HMEpC, hMSC-AT, hMSC-UC, HOB, HPC-PL, HPIEpC, HSaVEC, HVMF, HWP, IMR90, Monocytes-CD14+, NHDF, NHEM.f_M2, NHEM_M2, SkMC, SK-N-SH.\
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There are 53 new experiments in total. Release 3 data includes two new variations in protocol (CIP-TAP and untreated) to create different RNA populations.\
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Many of the datasets produced by the Hannon lab (Generation 0 datasets) in Release 1 have been replaced by newly generated data from the Gingeras lab in Release 2. Of all Generation 0 datasets, only data from K562 and Prostate tissue are still displayed. All Generation 0 datasets are still available for download.
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Discrepancies between hg18 and hg19 versions of Generation 0 CSHL small RNA data: The alignment pipeline for the CSHL small RNA data was updated upon the release of the human genome version hg19, resulting in a few noteworthy discrepancies with the hg18 dataset. First, mapping was conducted with the open-source Bowtie algorithm (http://bowtie-bio.sourceforge.net/index.shtml) rather than the custom NexAlign software. As each algorithm uses different strategies to perform alignments, the mapping results may vary even in genomic regions that do not differ between builds. The read processing pipeline also varies slightly in that we no longer retain information regarding whether a read was clipped off an adapter sequence. \
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Credits
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Hannon lab members: Katalin Fejes-Toth, Vihra Sotirova, Gordon Assaf, Jon Preall\
Gingeras and Guigo laboratories: Carrie A. Davis, Lei-Hoon See, Wei Lin
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column in the track configuration page and the \
download page. The full data release policy \
for ENCODE is available \
here.
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expression 1 compositeTrack on\
controlledVocabulary encode/cv.ra cellType=cell localization=localization rnaExtract=rnaExtract\
dimensionAchecked rank1,none\
dimensions dimensionY=cellType dimensionX=localization dimensionA=rank dimensionB=protocol\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line localization=Localization protocol=Protocol view=View replicate=Lab Replicate bioRep=Cross_Lab BioReplicate labExpId=Lab Exp_ID dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
filterComposite dimA dimB\
group expression\
html wgEncodeCshlShortRnaSeq.release3\
longLabel Small RNA-seq from ENCODE/Cold Spring Harbor Lab\
noInherit on\
priority 9\
shortLabel CSHL Small RNA-seq\
sortOrder cellType=+ localization=+ protocol=+ view=+ rank=+\
subGroup1 view Views Contigs=Contigs PlusSignal=Plus_Signal MinusSignal=Minus_Signal\
subGroup2 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2A549=A549 (Tier_2) t2BCELLSCD20=B_cells_CD20+ (Tier_2) t2HELAS3=HeLa-S3 (Tier_2) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t2IMR90=IMR90 (Tier_2) t2MCF7=MCF-7 (Tier_2) t2MONOCYTESCD14=Monocytes_CD14+ (Tier_2) t2SKNSH=SK-N-SH (Tier_2) t3AG04450=AG04450 t3BJ=BJ t3CD34MOBILIZED=CD34+_Mobilized t3H1NEURONS=H1-neurons t3HAOAF=HAoAF t3HAOEC=HAoEC t3HCH=HCH t3HFDPC=HFDPC t3HMEPC=HMEpC t3HMSCAT=hMSC-AT t3HMSCBM=hMSC-BM t3HMSCUC=hMSC-UC t3HOB=HOB t3HPCPL=HPC-PL t3HPIEPC=HPIEpC t3HSAVEC=HSaVEC t3HVMF=HVMF t3HWP=HWP t3NHDF=NHDF t3NHEK=NHEK t3NHEMFM2=NHEM.f_M2 t3NHEMM2=NHEM_M2 t3PROSTATE=prostate t3SKMC=SkMC t3SKNSHRA=SK-N-SH_RA\
subGroup3 localization Localization CELL=Whole_Cell CYTOSOL=Cytosol NUCLEUS=Nucleus POLYSOME=Polysome NUCLEOPLASM=Nucleoplasm CHROMATIN=Chromatin NUCLEOLUS=Nucleolus\
subGroup4 rep Rep rep1=1 rep2=2 Pooled=Pooled rep3=A rep4=B\
subGroup5 protocol Protocol TAP=TAP-Only CIPTAP=CIP-TAP NONE=Untreated\
subGroup6 rank Replicate_rank rank1=1st rank2=2nd none=Pooled\
track wgEncodeCshlShortRnaSeq\
type bed 3\
wgEncodeDacMapabilityConsensusExcludable DAC Blacklist bed 6 DAC Blacklisted Regions from ENCODE/DAC(Kundaje) 0 9 0 0 0 127 127 127 0 0 0 map 1 longLabel DAC Blacklisted Regions from ENCODE/DAC(Kundaje)\
parent wgEncodeMapabilityViewXR\
shortLabel DAC Blacklist\
subGroups view=XR win=zNA lab=DAC\
track wgEncodeDacMapabilityConsensusExcludable\
type bed 6\
filterHapNoVar GIAB call conflict bigBed 3 NIST Genome-in-a-bottle: HaplotypeCaller makes no call and UnifiedGenotyper makes a variant call 1 9 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/filterHapNoVar.bb\
longLabel NIST Genome-in-a-bottle: HaplotypeCaller makes no call and UnifiedGenotyper makes a variant call\
parent problematic\
priority 9\
shortLabel GIAB call conflict\
track filterHapNoVar\
type bigBed 3\
visibility dense\
wgEncodeFsuRepliChipGm06990WaveSignalRep2 GM06990 2 bigWig -4.305486 1.583986 GM06990 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 9 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM06990 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel GM06990 2\
subGroups view=WaveSignal cellType=t3GM06990 rep=rep2\
track wgEncodeFsuRepliChipGm06990WaveSignalRep2\
type bigWig -4.305486 1.583986\
wgEncodeAwgTfbsHaibGm12878Cebpbsc150V0422111UniPk GM12878 CEBPB narrowPeak GM12878 TFBS Uniform Peaks of CEBPB_(SC-150) from ENCODE/HudsonAlpha/Analysis 1 9 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CEBPB_(SC-150) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 CEBPB\
subGroups tier=a10 cellType=a10GM12878 factor=CEBPB lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Cebpbsc150V0422111UniPk\
wgEncodeBroadHistoneGm12878H3k4me2StdPk GM12878 H3K4m2 broadPeak GM12878 H3K4me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 9 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K4m2\
subGroups view=Peaks factor=H3K04ME2 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k4me2StdPk\
type broadPeak\
wgEncodeSunyRipSeqGm12878Pabpc1SigRep1 GM12878 PABPC1 1 bigWig 0.000000 49859.886719 GM12878 PABPC1 RIP-seq Signal Rep 1 from ENCODE/SUNY 2 9 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 PABPC1 RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 PABPC1 1\
subGroups view=Signal factor=PABPC1 cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878Pabpc1SigRep1\
type bigWig 0.000000 49859.886719\
wgEncodeOpenChromChipGm12878Pol2BaseOverlapSignal GM12878 Pol2 OS bigWig 0.000000 2100.000000 GM12878 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 9 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel GM12878 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t1GM12878\
track wgEncodeOpenChromChipGm12878Pol2BaseOverlapSignal\
type bigWig 0.000000 2100.000000\
wgEncodeUwRepliSeqGm12878WaveSignalRep1 GM12878 Ws 1 bigWig -5.058377 85.875435 GM12878 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 9 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal\
shortLabel GM12878 Ws 1\
subGroups view=v4WaveSignal cellType=t1GM12878 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqGm12878WaveSignalRep1\
type bigWig -5.058377 85.875435\
wgEncodeOpenChromSynthGm12891Pk GM12891 Syn Pk bed 9 + GM12891 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 9 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12891 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel GM12891 Syn Pk\
subGroups cellType=t3GM12891 treatment=aNone\
track wgEncodeOpenChromSynthGm12891Pk\
type bed 9 +\
wgEncodeCaltechRnaSeqGm12878R2x75Il400SplicesRep2V2 GM78 400 Sp 2 bam GM12878 400 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 9 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 400 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel GM78 400 Sp 2\
subGroups view=Splices cellType=t1GM12878 insertLength=il400 readType=a1R2x75400 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R2x75Il400SplicesRep2V2\
type bam\
wgEncodeHaibTfbsGm12878BatfPcr1xPkRep1 GM78 BATF PCR1 1 broadPeak GM12878 BATF PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 9 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BATF PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BATF PCR1 1\
subGroups view=Peaks factor=BATF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878BatfPcr1xPkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CellPapAlnRep1 GM78 cel pA+ A 1 bam GM12878 whole cell polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 9 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cel pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellPapAlnRep1\
type bam\
wgEncodeSydhTfbsGm12878Chd1a301218aIggmusPk GM78 CHD1 IgM narrowPeak GM12878 CHD1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 9 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CHD1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 CHD1 IgM\
subGroups view=Peaks factor=CHD1A301218A cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Chd1a301218aIggmusPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqGm12878ChromatinTapPlusRep3 GM78 chrm TAP + 1 bigWig 1.000000 8723293.000000 GM12878 TAP-only chromatin small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 9 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only chromatin small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 chrm TAP + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CHROMATIN protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878ChromatinTapPlusRep3\
type bigWig 1.000000 8723293.000000\
wgEncodeRikenCageGm12878CytosolPapMinusSignalRep2 GM78 cyto pA+ - 2 bigWig 1.000000 460936.000000 GM12878 cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 9 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 cyto pA+ - 2\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CytosolPapMinusSignalRep2\
type bigWig 1.000000 460936.000000\
wgEncodeUwHistoneGm12878H3k27me3StdRawRep1 GM78 H3K27M3 Sg 1 bigWig 1.000000 3327.000000 GM12878 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 9 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 H3K27M3 Sg 1\
subGroups view=zRSig factor=H3K27ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdRawRep1\
type bigWig 1.000000 3327.000000\
wgEncodeUncBsuProtGencH1neuronsCellMudpitpepMapGcFt H1-neurons Ce bigBed 12 H1-neurons MudPIT ProtG GENCODE10 Hg19 Mapping from ENCODE/UNC/BSU 2 9 0 0 0 127 127 127 1 0 0 expression 1 longLabel H1-neurons MudPIT ProtG GENCODE10 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel H1-neurons Ce\
subGroups view=pepMapGcFt cellType=H1NEURONS localization=CELL protocol=MUDPIT\
track wgEncodeUncBsuProtGencH1neuronsCellMudpitpepMapGcFt\
type bigBed 12\
wgEncodeGisRnaPetH1hescCellPapClustersRep1 H1ES cell pA+ 1 bed 6 + H1-hESC whole cell polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 9 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters on\
shortLabel H1ES cell pA+ 1\
subGroups view=v1Clusters cellType=aH1HESC cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetH1hescCellPapClustersRep1\
type bed 6 +\
wgEncodeUwDnaseH1hescRawRep1 H1hESC Sg 1 bigWig 1.000000 12096.000000 H1-hESC DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 9 0 107 27 127 181 141 0 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw\
shortLabel H1hESC Sg 1\
subGroups view=zRSig cellType=t1H1HESC rep=rep1 treatment=None\
track wgEncodeUwDnaseH1hescRawRep1\
type bigWig 1.000000 12096.000000\
wgEncodeSunyAlbanyGeneStH1hescT7tagRbpAssocRnaV2 H1hESC T7Tag broadPeak H1-hESC T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 9 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel H1hESC T7Tag\
subGroups factor=T7Tag cellType=t1H1HESC\
track wgEncodeSunyAlbanyGeneStH1hescT7tagRbpAssocRnaV2\
type broadPeak\
hapmapSnpsMKK HapMap SNPs MKK bed 6 + HapMap SNPs from the MKK Population (Masai in Kinyawa, Kenya) 0 9 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the MKK Population (Masai in Kinyawa, Kenya)\
parent hapmapSnps\
priority 9\
shortLabel HapMap SNPs MKK\
track hapmapSnpsMKK\
wgEncodeHaibMethylRrbsHelas3HaibSitesRep1 HeLa-S3 1 bed 9 + HeLa-S3 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 9 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs on\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHelas3HaibSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayHepg2SimpleSignalRep2 HepG2 2 broadPeak HepG2 Exon array Signal Rep 2 from ENCODE/UW 0 9 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HepG2 2\
subGroups cellType=t2HEPG2 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHepg2SimpleSignalRep2\
type broadPeak\
lincRNAsCThLF_r1 hLF_r1 bed 5 + lincRNAs from hlf_r1 1 9 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from hlf_r1\
parent lincRNAsAllCellType on\
shortLabel hLF_r1\
subGroups view=lincRNAsRefseqExp tissueType=hlf_r1\
track lincRNAsCThLF_r1\
wgEncodeHaibGenotypeImr90RegionsRep1 IMR90 1 bed 9 + IMR90 Copy number variants Replicate 1 from ENCODE/HAIB 0 9 0 0 0 127 127 127 0 0 0 varRep 1 longLabel IMR90 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel IMR90 1\
subGroups cellType=t2IMR90 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeImr90RegionsRep1\
type bed 9 +\
wgEncodeUwTfbsK562CtcfStdPkRep1 K562 CTCF Pk 1 narrowPeak K562 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 9 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks on\
shortLabel K562 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t1K562 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdPkRep1\
type narrowPeak\
wgEncodeAffyRnaChipFiltTransfragsK562CytosolLongpolya K562 cyto pA+ broadPeak K562 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 9 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 cyto pA+\
subGroups view=FiltTransfrags cellType=t1K562 localization=bCYTOSOL rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsK562CytosolLongpolya\
type broadPeak\
wgEncodeGisRnaSeqK562CytosolPapMinusRawRep1 K562 cyto pA+ - 1 bigWig 1.000000 163002.000000 K562 cytosol polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS 2 9 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Minus raw signal rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewMinusRawSignal on\
shortLabel K562 cyto pA+ - 1\
subGroups view=MinusRawSignal cellType=t1K562 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapMinusRawRep1\
type bigWig 1.000000 163002.000000\
wgEncodeOpenChromFaireK562BaseOverlapSignal K562 FAIRE OS bigWig 0.000000 3174.000000 K562 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 9 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo\
shortLabel K562 FAIRE OS\
subGroups view=SIGBO cellType=t1K562 treatment=AANONE\
track wgEncodeOpenChromFaireK562BaseOverlapSignal\
type bigWig 0.000000 3174.000000\
wgEncodeOpenChromDnaseK562G1phaseBaseOverlapSignal K562 G1 OS bigWig 0.000000 319.000000 K562 G1 phase DNaseI HS Overlap Signal from ENCODE/Duke 2 9 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 G1 phase DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel K562 G1 OS\
subGroups view=SIGBO cellType=t1K562 treatment=G1PHASE\
track wgEncodeOpenChromDnaseK562G1phaseBaseOverlapSignal\
type bigWig 0.000000 319.000000\
wgEncodeSydhHistoneK562InputUcdSig K562 Input bigWig 0.000000 12876.099609 K562 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 9 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
origAssembly hg18\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel K562 Input\
subGroups view=Signal factor=INPUT cellType=aK562 control=UCD treatment=NONE\
track wgEncodeSydhHistoneK562InputUcdSig\
type bigWig 0.000000 12876.099609\
wgEncodeUchicagoTfbsK562EjundControlPk K562 JunD/GFP Pk narrowPeak K562 JunD GFP-tag TFBS Peaks from ENCODE/UChicago 3 9 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 JunD GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 JunD/GFP Pk\
subGroups view=Peaks factor=JunD cellType=K562 control=ControlJunD rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EjundControlPk\
type narrowPeak\
wgEncodeDukeAffyExonK562NabutSimpleSignalRep2 K562 Nabut 2 bigBed 6 + K562 NaBut Exon array Signal Rep 2 from ENCODE/Duke 0 9 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 NaBut Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 Nabut 2\
subGroups cellType=t1K562 treatment=NABUT rep=rep2\
track wgEncodeDukeAffyExonK562NabutSimpleSignalRep2\
type bigBed 6 +\
wgEncodeAwgSegmentationSegwayK562 K562 Segway bed 9 . K562 Genome Segmentation by Segway from ENCODE/Analysis 0 9 0 0 0 127 127 127 0 0 0 regulation 1 longLabel K562 Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel K562 Segway\
subGroups tier=t1 cellType=t1K562 method=Segway\
track wgEncodeAwgSegmentationSegwayK562\
type bed 9 .\
decodeMaleNonCarrier Male Non-carry bigWig 0.0 151.353 deCODE recombination map, male non-carrier 0 9 0 128 140 127 191 197 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 0,128,140\
configurable on\
longLabel deCODE recombination map, male non-carrier\
parent maleView\
priority 9\
shortLabel Male Non-carry\
subGroups view=male\
track decodeMaleNonCarrier\
type bigWig 0.0 151.353\
wgEncodeHaibMethyl450Mcf7SitesRep1 MCF-7 bed 9 MCF-7 Methylation 450K Bead Array from ENCODE/HAIB 1 9 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel MCF-7\
subGroups cellType=t2MCF7 obtainedBy=DUKE treatment=zNONE\
track wgEncodeHaibMethyl450Mcf7SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwdukeMcf7UniPk MCF-7 DNase narrowPeak MCF-7 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 9 80 80 80 167 167 167 1 0 0 regulation 1 color 80,80,80\
longLabel MCF-7 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel MCF-7 DNase\
subGroups tier=a25 cellType=a25MCF-7\
track wgEncodeAwgDnaseUwdukeMcf7UniPk\
wgEncodeGisChiaPetMcf7CtcfInteractionsRep1 MCF7 CTCF Int 1 bed 12 MCF-7 CTCF ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 9 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 CTCF ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 CTCF Int 1\
subGroups view=Interactions factor=CTCF cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7CtcfInteractionsRep1\
type bed 12\
MGI_Exome_Capture_V5 MGI Easy V5 T bigBed MGI - Easy Exome Capture V5 Target Regions 1 9 220 38 127 237 146 191 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/MGI_Exome_Capture_V5.bb\
color 220,38,127\
longLabel MGI - Easy Exome Capture V5 Target Regions\
parent exomeProbesets off\
shortLabel MGI Easy V5 T\
track MGI_Exome_Capture_V5\
type bigBed\
visibility dense\
wgEncodeCshlShortRnaSeqViewMinusSignal Minus Signal bed 3 Small RNA-seq from ENCODE/Cold Spring Harbor Lab 2 9 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel Small RNA-seq from ENCODE/Cold Spring Harbor Lab\
maxHeightPixels 100:24:16\
parent wgEncodeCshlShortRnaSeq\
shortLabel Minus Signal\
track wgEncodeCshlShortRnaSeqViewMinusSignal\
transformFunc NONE\
view MinusSignal\
viewLimits 0:30\
visibility full\
windowingFunction mean+whiskers\
vertebrateChainNetViewnet Nets bed 3 Non-placental Vertebrate Genomes, Chain and Net Alignments 1 9 0 0 0 255 255 0 0 0 0 compGeno 1 longLabel Non-placental Vertebrate Genomes, Chain and Net Alignments\
parent vertebrateChainNet\
shortLabel Nets\
track vertebrateChainNetViewnet\
view net\
visibility dense\
uMassBrainHistoneSignalS6NeuP4pt7yrsM NeuN+ 4.7yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN+ D6) Gender-male Age-4.7 2 9 41 158 41 148 206 148 0 0 0 regulation 0 color 41,158,41\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D6) Gender-male Age-4.7\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 4.7yrs M\
subGroups view=Signal donor=g_6 cellType=norm sex=male age=b_young\
track uMassBrainHistoneSignalS6NeuP4pt7yrsM\
type bigWig\
wgEncodeRegTxnCaltechRnaSeqNhlfR2x75Il200SigPooled NHLF bigWig 0 65535 Transcription of NHLF cells from ENCODE 0 9 255 128 212 255 191 233 0 0 0 regulation 1 color 255,128,212\
longLabel Transcription of NHLF cells from ENCODE\
parent wgEncodeRegTxn\
priority 9\
shortLabel NHLF\
track wgEncodeRegTxnCaltechRnaSeqNhlfR2x75Il200SigPooled\
type bigWig 0 65535\
wgEncodeBroadHmmNhlfHMM NHLF ChromHMM bed 9 . NHLF Chromatin State Segmentation by HMM from ENCODE/Broad 0 9 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NHLF Chromatin State Segmentation by HMM from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHmm\
shortLabel NHLF ChromHMM\
subGroups cellType=t3NHLF\
track wgEncodeBroadHmmNhlfHMM\
type bed 9 .\
iscaPathGainCum Path Gain bedGraph 4 ClinGen CNVs: Pathogenic Gain Coverage 2 9 0 0 200 127 127 227 0 0 0 phenDis 0 color 0,0,200\
longLabel ClinGen CNVs: Pathogenic Gain Coverage\
parent iscaViewTotal\
shortLabel Path Gain\
subGroups view=cov class=path level=sub\
track iscaPathGainCum\
wgEncodeCshlShortRnaSeqViewPlusSignal Plus Signal bed 3 Small RNA-seq from ENCODE/Cold Spring Harbor Lab 2 9 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel Small RNA-seq from ENCODE/Cold Spring Harbor Lab\
maxHeightPixels 100:24:16\
parent wgEncodeCshlShortRnaSeq\
shortLabel Plus Signal\
track wgEncodeCshlShortRnaSeqViewPlusSignal\
transformFunc NONE\
view PlusSignal\
viewLimits 0:30\
visibility full\
windowingFunction mean+whiskers\
polyA Poly(A) bed 3 . Poly(A) Sites, Both Reported and Predicted 0 9 0 0 0 127 127 127 0 0 0
Description
\
\
The polyA_DB database is a set of human mRNA polyadenlyation sites based\
on EST/cDNA evidence. \
A site is a single base denoting the beginning of a poly(A) tail in a nascent\
mRNA transcript and is typically 10-30 nucleotides downstream of a \
polyadenylation signal (most commonly AAUAAA).\
The polyA_DB web server is found at \
http://exon.umdnj.edu/polya_db/.\
\
\
The Poly(A) composite track consists of two subtracks: a polyA_DB \
subtrack that displays reported poly(A) sites, and a poly(A) \
prediction subtrack that displays poly(A) sites predicted using a\
support vector machine (SVM). \
\
\
The poly(A) predictions are made using 1500-base DNA sequences centered at \
the end of each RefSeq gene. The sequences serve as input into the \
SVM described in Cheng et al., 2006. The SVM scores \
each base\
using a model derived from 15 different cis-elements and reports an E-value for\
a region of DNA between 0 (excellent) and 0.5 (worst). This E-value is then\
normalized to an integer value between 0 (worst) and 1000 (excellent). \
High-scoring \
regions are highlighted, with the highest-scoring base indicated by a thicker \
line. The median length of these regions is 48 bases.\
\
The chain track shows alignments of human (Feb. 2009 (GRCh37/hg19)) to\
other genomes using a gap scoring system that allows longer gaps \
than traditional affine gap scoring systems. It can also tolerate gaps in both\
human and the other genome simultaneously. These \
"double-sided" gaps can be caused by local inversions and \
overlapping deletions in both species. \
\
The chain track displays boxes joined together by either single or\
double lines. The boxes represent aligning regions.\
Single lines indicate gaps that are largely due to a deletion in the\
other assembly or an insertion in the human assembly.\
Double lines represent more complex gaps that involve substantial\
sequence in both species. This may result from inversions, overlapping\
deletions, an abundance of local mutation, or an unsequenced gap in one\
species. In cases where multiple chains align over a particular region of\
the other genome, the chains with single-lined gaps are often \
due to processed pseudogenes, while chains with double-lined gaps are more \
often due to paralogs and unprocessed pseudogenes.
\
\
In the "pack" and "full" display\
modes, the individual feature names indicate the chromosome, strand, and\
location (in thousands) of the match for each matching alignment.
\
\
Net Track
\
\
The net track shows the best human/other chain for \
every part of the other genome. It is useful for\
finding orthologous regions and for studying genome\
rearrangement. The human sequence used in this annotation is from\
the Feb. 2009 (GRCh37/hg19) assembly.
\
\
Display Conventions and Configuration
\
Chain Track
\
By default, the chains to chromosome-based assemblies are colored\
based on which chromosome they map to in the aligning organism. To turn\
off the coloring, check the "off" button next to: Color\
track based on chromosome.
\
\
To display only the chains of one chromosome in the aligning\
organism, enter the name of that chromosome (e.g. chr4) in box next to: \
Filter by chromosome.
\
\
Net Track
\
\
In full display mode, the top-level (level 1)\
chains are the largest, highest-scoring chains that\
span this region. In many cases gaps exist in the\
top-level chain. When possible, these are filled in by\
other chains that are displayed at level 2. The gaps in \
level 2 chains may be filled by level 3 chains and so\
forth.
\
\
In the graphical display, the boxes represent ungapped \
alignments; the lines represent gaps. Click\
on a box to view detailed information about the chain\
as a whole; click on a line to display information\
about the gap. The detailed information is useful in determining\
the cause of the gap or, for lower level chains, the genomic\
rearrangement.
\
\
Individual items in the display are categorized as one of four types\
(other than gap):
\
\
Top - the best, longest match. Displayed on level 1.\
Syn - line-ups on the same chromosome as the gap in the level above\
it.\
Inv - a line-up on the same chromosome as the gap above it, but in \
the opposite orientation.\
NonSyn - a match to a chromosome different from the gap in the \
level above.\
\
\
Methods
\
Chain track
\
\
Transposons that have been inserted since the human/other\
split were removed from the assemblies. The abbreviated genomes were\
aligned with lastz, and the transposons were added back in.\
The resulting alignments were converted into axt format using the lavToAxt\
program. The axt alignments were fed into axtChain, which organizes all\
alignments between a single human chromosome and a single\
chromosome from the other genome into a group and creates a kd-tree out\
of the gapless subsections (blocks) of the alignments. A dynamic program\
was then run over the kd-trees to find the maximally scoring chains of these\
blocks.\
\
\
\
\
\
The following lastz matrix was used for the alignments to: Wallaby, Tasmanian Devil\
\
\
A
C
G
T
\
A
91
-114
-31
-123
\
C
-114
100
-125
-31
\
\
G
-31
-125
100
-114
\
T
-123
-31
-114
91
\
\
\
\
\
\
The following lastz matrix was used for the alignments to: American Alligator, Medium Ground Finch, \
Opossum, Platypus, Chicken, Zebra Finch, Lizard, X. tropicalis, \
Stickleback, Fugu, Zebrafish, Tetraodon, Medaka, Lamprey\
\
\
A
C
G
T
\
A
91
-90
-25
-100
\
C
-90
100
-100
-25
\
G
-25
-100
100
-90
\
T
-100
-25
-90
91
\
\
\
\
For the Wallaby alignment, chains scoring below a minimum score\
of '3000' were discarded; the remaining chains are displayed in this track.\
The linear gap matrix used with axtChain: \
\
\
\
For the alignments to: American Alligator, Medium Ground Finch, Tasmanian Devil, Opossum, Platypus, Chicken,\
Zebra Finch, Lizard, X. tropicalis, Stickleback, Fugu, Zebrafish, Tetraodon,\
Medaka and Lamprey, chains scoring below a minimum score\
of '5000' were discarded; the remaining chains are displayed\
in this track. The linear gap matrix used with axtChain: \
\
\
Chains were derived from lastz alignments, using the methods\
described on the chain tracks description pages, and sorted with the \
highest-scoring chains in the genome ranked first. The program\
chainNet was then used to place the chains one at a time, trimming them as \
necessary to fit into sections not already covered by a higher-scoring chain. \
During this process, a natural hierarchy emerged in which a chain that filled \
a gap in a higher-scoring chain was placed underneath that chain. The program \
netSyntenic was used to fill in information about the relationship between \
higher- and lower-level chains, such as whether a lower-level\
chain was syntenic or inverted relative to the higher-level chain. \
The program netClass was then used to fill in how much of the gaps and chains \
contained Ns (sequencing gaps) in one or both species and how much\
was filled with transposons inserted before and after the two organisms \
diverged.
\
\
Credits
\
\
Lastz (previously known as blastz) was developed at\
Pennsylvania State University by \
Minmei Hou, Scott Schwartz, Zheng Zhang, and Webb Miller with advice from\
Ross Hardison.
\
\
Lineage-specific repeats were identified by Arian Smit and his \
RepeatMasker\
program.
\
\
The axtChain program was developed at the University of California at \
Santa Cruz by Jim Kent with advice from Webb Miller and David Haussler.
\
\
The browser display and database storage of the chains and nets were created\
by Robert Baertsch and Jim Kent.
\
\
The chainNet, netSyntenic, and netClass programs were\
developed at the University of California\
Santa Cruz by Jim Kent.
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
phenDis 0 autoScale group\
color 124,39,175\
compositeTrack on\
group phenDis\
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maxWindowToDraw 10000000\
maxWindowToQuery 500000\
mouseOverFunction noAverage\
parent constraintSuper\
priority 9.2\
shortLabel MTR Scores\
track mtrScores\
type bigWig\
viewLimits 0:1.1\
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visibility full\
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mtrBed MTR All Data bigBed 9 + 10 MTR - Missense Tolerance Ratio Scores all annotations 0 9.5 0 0 0 127 127 127 0 0 0
Description
\
\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
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track netOryCun2\
type netAlign oryCun2 chainOryCun2\
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subGroups view=Alignments cellType=t2A549 treatment=DEX1NM rep=rep1\
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longLabel Agilent SurePrint G3 Human CGH Microarray 2x400K AMADID 021850\
parent genotypeArrays\
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longLabel Affymetrix Human Exon Array Ambiguous Probes\
parent affyExonProbe off\
shortLabel Ambiguous Probes\
subGroups view=v2Probe level=L5Ambiguous\
track affyExonProbeAmbiguous\
type bed 10\
AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep3LK6_CNhs13568_ctss_rev AorticSmsToFgf2_00hr15minBr3- bigWig Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep3 (LK6)_CNhs13568_12839-137B4_reverse 0 10 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12839-137B4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr15min%2c%20biol_rep3%20%28LK6%29.CNhs13568.12839-137B4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep3 (LK6)_CNhs13568_12839-137B4_reverse\
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url http://fantom.gsc.riken.jp/5/sstar/FF:12839-137B4\
urlLabel FANTOM5 Details:\
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longLabel Aortic smooth muscle cell response to FGF2, 00hr15min, biol_rep3 (LK6)_CNhs13568_12839-137B4_reverse\
maxHeightPixels 100:8:8\
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parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr15minBr3-\
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track AorticSmoothMuscleCellResponseToFGF200hr15minBiolRep3LK6_CNhs13568_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12839-137B4\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainCerebellum brainCerebellum bed 9 + Expression QTL in Brain_Cerebellum from GTEx V6 0 10 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainCerebellum where name='%s'\
longLabel Expression QTL in Brain_Cerebellum from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainCerebellum\
track gtexEqtlTissueBrainCerebellum\
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parent dhcHumDerDenAncCcds\
shortLabel CC Nonsyn HiF\
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track dhcHumDerDenAncCcdsNonsynHighFreq\
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shortLabel CD20+ Pk\
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track wgEncodeUwDgfCd20ro01778Pk\
type narrowPeak\
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subGroups view=XR win=zNA lab=DUKE\
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type bed 6\
wgEncodeExonArraySuper ENC Exon Array ENCODE Exon Array 0 10 0 0 0 127 127 127 0 0 0
Description
\
\
These tracks display microarray data. Samples are hybridized to the\
Affymetrix Human\
Exon 1.0 GeneChip. In contrast to traditional microarrays, which are designed to measure\
overall gene expression, the Affymetrix exon arrays contain separate\
probesets for each exon. This allows large-scale measurement of\
alternative splicing, alternative polyadenylation, and alternative\
promoter usage. Additionally, analysis of the constitutive exons\
(those included in all transcripts) offer accurate measurement of\
overall gene expression levels. Further information on the\
design and content of exon arrays can be found\
here.\
\
\
Display Conventions
\
Items on these tracks pertain to Affymetrix exon array probesets.\
For\
information regarding specific microarray probesets, turn on the Affy Exon Array track, \
which can be found in the "Expression" track group. These tracks\
are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.
\
Credits \
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks.
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here.
\
\
expression 0 group expression\
longLabel ENCODE Exon Array\
priority 10\
shortLabel ENC Exon Array\
superTrack on\
track wgEncodeExonArraySuper\
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longLabel NIST Genome-in-a-bottle: calls with low mapping quality or high coverage\
parent problematic\
priority 10\
shortLabel GIAB quality issue\
track filterMap\
type bigBed 3\
visibility dense\
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track wgEncodeAwgTfbsSydhGm12878Chd1a301218aIggmusUniPk\
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shortLabel GM12878 H3K4m2\
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track wgEncodeBroadHistoneGm12878H3k4me2StdSig\
type bigWig 0.040000 6559.600098\
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shortLabel GM12878 Input DS\
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track wgEncodeOpenChromChipGm12878InputSig\
type bigWig 0.000000 3.131200\
wgEncodeSunyRipSeqGm12878Pabpc1SigRep2 GM12878 PABPC1 2 bigWig 0.000000 51724.476562 GM12878 PABPC1 RIP-seq Signal Rep 2 from ENCODE/SUNY 2 10 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
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track wgEncodeSunyRipSeqGm12878Pabpc1SigRep2\
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longLabel GM12878 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel GM12878 Sd 1\
subGroups view=v5SumSignal cellType=t1GM12878 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqGm12878SumSignalRep1\
type bigWig 2.000000 2332.000000\
wgEncodeOpenChromSynthGm12892Pk GM12892 Syn Pk bed 9 + GM12892 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 10 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12892 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel GM12892 Syn Pk\
subGroups cellType=t3GM12892 treatment=aNone\
track wgEncodeOpenChromSynthGm12892Pk\
type bed 9 +\
wgEncodeCaltechRnaSeqGm12878R1x75dAlignsRep1V2 GM78 1x75D A 1 bam GM12878 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 10 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel GM78 1x75D A 1\
subGroups view=Aligns cellType=t1GM12878 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dAlignsRep1V2\
type bam\
wgEncodeHaibTfbsGm12878BatfPcr1xRawRep1 GM78 BATF PCR1 1 bigWig 0.181848 165.481003 GM12878 BATF PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 10 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BATF PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BATF PCR1 1\
subGroups view=RawSignal factor=BATF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878BatfPcr1xRawRep1\
type bigWig 0.181848 165.481003\
wgEncodeCshlLongRnaSeqGm12878CellPapAlnRep2 GM78 cel pA+ A 2 bam GM12878 whole cell polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 10 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cel pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellPapAlnRep2\
type bam\
wgEncodeSydhTfbsGm12878Chd1a301218aIggmusSig GM78 CHD1 IgM bigWig 1.000000 12439.000000 GM12878 CHD1 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 10 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CHD1 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 CHD1 IgM\
subGroups view=Signal factor=CHD1A301218A cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Chd1a301218aIggmusSig\
type bigWig 1.000000 12439.000000\
wgEncodeCshlShortRnaSeqGm12878ChromatinTapPlusRep4 GM78 chrm TAP + 2 bigWig 1.000000 17276008.000000 GM12878 TAP-only chromatin small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 10 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only chromatin small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 chrm TAP + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CHROMATIN protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878ChromatinTapPlusRep4\
type bigWig 1.000000 17276008.000000\
wgEncodeRikenCageGm12878CytosolPapAlnRep1 GM78 cyto pA+ A 1 bam GM12878 cytosol polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 10 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 cyto pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CytosolPapAlnRep1\
type bam\
wgEncodeUwHistoneGm12878H3k27me3StdHotspotsRep2 GM78 H3K27M3 Ht 2 broadPeak GM12878 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 10 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K27M3 Ht 2\
subGroups view=Hot factor=H3K27ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdHotspotsRep2\
type broadPeak\
wgEncodeUncBsuProtGencH1neuronsCellMudpitmPepMapGcFt H1-neurons Ce PTM bigBed 12 H1-neurons MudPIT ProtG GENCODE10 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 10 0 0 0 127 127 127 1 0 0 expression 1 longLabel H1-neurons MudPIT ProtG GENCODE10 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel H1-neurons Ce PTM\
subGroups view=mPepMapGcFt cellType=H1NEURONS localization=CELL protocol=MUDPIT\
track wgEncodeUncBsuProtGencH1neuronsCellMudpitmPepMapGcFt\
type bigBed 12\
wgEncodeGisRnaPetH1hescCellPapMinusRawRep1 H1ES cell pA+ - 1 bigWig 1.000000 412298.000000 H1-hESC whole cell polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 10 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig on\
shortLabel H1ES cell pA+ - 1\
subGroups view=v2MinusRawSignal cellType=aH1HESC cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetH1hescCellPapMinusRawRep1\
type bigWig 1.000000 412298.000000\
wgEncodeSunyAlbanyGeneStH1hescRipinputRbpAssocRnaV2 H1hESC RIP-Input broadPeak H1-hESC RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 10 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel H1hESC RIP-Input\
subGroups factor=ripInput cellType=t1H1HESC\
track wgEncodeSunyAlbanyGeneStH1hescRipinputRbpAssocRnaV2\
type broadPeak\
wgEncodeFsuRepliChipH7esWaveSignalRep1 H7-hESC 1 bigWig -1.907256 1.951967 H7-hESC Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 10 0 0 0 127 127 127 0 0 0 regulation 0 longLabel H7-hESC Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel H7-hESC 1\
subGroups view=WaveSignal cellType=t3H7HESC rep=rep1\
track wgEncodeFsuRepliChipH7esWaveSignalRep1\
type bigWig -1.907256 1.951967\
hapmapSnpsTSI HapMap SNPs TSI bed 6 + HapMap SNPs from the TSI Population (Toscani in Italia) 0 10 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the TSI Population (Toscani in Italia)\
parent hapmapSnps\
priority 10\
shortLabel HapMap SNPs TSI\
track hapmapSnpsTSI\
wgEncodeHaibMethylRrbsHelas3HaibSitesRep2 HeLa-S3 2 bed 9 + HeLa-S3 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 10 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HeLa-S3 2\
subGroups cellType=t2HELAS3 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHelas3HaibSitesRep2\
type bed 9 +\
wgEncodeAwgSegmentationChromhmmHelas3 HeLa-S3 ChromHMM bed 9 . HeLa-S3 Genome Segmentation by ChromHMM from ENCODE/Analysis 0 10 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HeLa-S3 Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HeLa-S3 ChromHMM\
subGroups tier=t2 cellType=t2HELAS3 method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmHelas3\
type bed 9 .\
lincRNAsCThLF_r2 hLF_r2 bed 5 + lincRNAs from hlf_r2 1 10 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from hlf_r2\
parent lincRNAsAllCellType on\
shortLabel hLF_r2\
subGroups view=lincRNAsRefseqExp tissueType=hlf_r2\
track lincRNAsCThLF_r2\
wgEncodeUwAffyExonArrayHuvecSimpleSignalRep1 HUVEC 1 broadPeak HUVEC Exon array Signal Rep 1 from ENCODE/UW 0 10 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HUVEC 1\
subGroups cellType=t2HUVEC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHuvecSimpleSignalRep1\
type broadPeak\
wgEncodeHaibGenotypeImr90RegionsRep2 IMR90 2 bed 9 + IMR90 Copy number variants Replicate 2 from ENCODE/HAIB 0 10 0 0 0 127 127 127 0 0 0 varRep 1 longLabel IMR90 Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel IMR90 2\
subGroups cellType=t2IMR90 obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeImr90RegionsRep2\
type bed 9 +\
wgEncodeUwTfbsK562CtcfStdRawRep1 K562 CTCF Sg 1 bigWig 1.000000 8445.000000 K562 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 10 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel K562 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t1K562 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdRawRep1\
type bigWig 1.000000 8445.000000\
wgEncodeGisRnaSeqK562CytosolPapMinusRawRep2 K562 cyto pA+ - 2 bigWig 1.000000 25356.000000 K562 cytosol polyA+ RNA-seq Minus raw signal rep 2 from ENCODE/GIS 2 10 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Minus raw signal rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewMinusRawSignal on\
shortLabel K562 cyto pA+ - 2\
subGroups view=MinusRawSignal cellType=t1K562 rnaExtract=longPolyA rep=rep2 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapMinusRawRep2\
type bigWig 1.000000 25356.000000\
wgEncodeOpenChromDnaseK562G2mphasePk K562 G2-M Pk narrowPeak K562 G2-M phase DNaseI HS Peaks from ENCODE/Duke 3 10 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 G2-M phase DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel K562 G2-M Pk\
subGroups view=Peaks cellType=t1K562 treatment=G2MPHASE\
track wgEncodeOpenChromDnaseK562G2mphasePk\
type narrowPeak\
wgEncodeUwDnaseK562HotspotsRep1 K562 Ht 1 broadPeak K562 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 10 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot\
shortLabel K562 Ht 1\
subGroups view=Hot cellType=t1K562 rep=rep1 treatment=None\
track wgEncodeUwDnaseK562HotspotsRep1\
type broadPeak\
wgEncodeUchicagoTfbsK562EjundControlSig K562 JunD/GFP Sg bigWig -4305.450684 19676.619141 K562 JunD GFP-tag TFBS Signal from ENCODE/UChicago 2 10 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 JunD GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 JunD/GFP Sg\
subGroups view=Signal factor=JunD cellType=K562 control=ControlJunD rep=repPOOLED\
track wgEncodeUchicagoTfbsK562EjundControlSig\
type bigWig -4305.450684 19676.619141\
wgEncodeDukeAffyExonK562NabutSimpleSignalRep3 K562 Nabut 3 bigBed 6 + K562 NaBut Exon array Signal Rep 3 from ENCODE/Duke 0 10 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 NaBut Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 Nabut 3\
subGroups cellType=t1K562 treatment=NABUT rep=rep3\
track wgEncodeDukeAffyExonK562NabutSimpleSignalRep3\
type bigBed 6 +\
wgEncodeAffyRnaChipFiltTransfragsK562PolysomeLongnonpolya K562 psom pA- broadPeak K562 polysome polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 10 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polysome polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 psom pA-\
subGroups view=FiltTransfrags cellType=t1K562 localization=cPOLYSOME rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsK562PolysomeLongnonpolya\
type broadPeak\
wgEncodeOpenChromFaireK562OhureaPk K562 urea FAIR Pk narrowPeak K562 Hydroxyurea FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 10 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Hydroxyurea FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel K562 urea FAIR Pk\
subGroups view=Peaks cellType=t1K562 treatment=HYDROUREA\
track wgEncodeOpenChromFaireK562OhureaPk\
type narrowPeak\
dhcVcfHGDP01284 Mandenka Variants vcfTabix Mandenka Individual (HGDP01284) Variant Calls 0 10 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Mandenka Individual (HGDP01284) Variant Calls\
parent dhcVcfModern\
priority 10\
shortLabel Mandenka Variants\
track dhcVcfHGDP01284\
vcfDoMaf off\
wgEncodeSydhHistoneMcf7H3k09me3UcdPk MCF-7 H3K9me3 narrowPeak MCF-7 H3K9me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 10 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 H3K9me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel MCF-7 H3K9me3\
subGroups view=Peaks factor=H3K09ME3 cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k09me3UcdPk\
type narrowPeak\
wgEncodeGisChiaPetMcf7CtcfSigRep1 MCF7 CTCF Sig 1 bigWig 1.000000 3954.000000 MCF-7 CTCF ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 10 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 CTCF ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 CTCF Sig 1\
subGroups view=Signal factor=CTCF cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7CtcfSigRep1\
type bigWig 1.000000 3954.000000\
wgEncodeAwgDnaseUwMonocytescd14ro01746UniPk Mcyte-CD14+ DNase narrowPeak Monocytes-CD14+ DNaseI HS Uniform Peaks from ENCODE/Analysis 1 10 80 80 80 167 167 167 1 0 0 regulation 1 color 80,80,80\
longLabel Monocytes-CD14+ DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel Mcyte-CD14+ DNase\
subGroups tier=a25 cellType=a25Monocytes-CD14\
track wgEncodeAwgDnaseUwMonocytescd14ro01746UniPk\
unipMut Mutations bigBed 12 + UniProt Amino Acid Mutations 1 10 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipMut.bb\
longLabel UniProt Amino Acid Mutations\
parent uniprot\
priority 10\
shortLabel Mutations\
track unipMut\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#pathology_and_biotech" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$" variationId="http://www.uniprot.org/uniprot/$$"\
visibility dense\
uMassBrainHistoneSignalS7NeuP8pt8yrsM NeuN+ 8yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN+ D7) Gender-male Age-8.8 2 10 41 158 41 148 206 148 0 0 0 regulation 0 color 41,158,41\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D7) Gender-male Age-8.8\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 8yrs M\
subGroups view=Signal donor=h_7 cellType=norm sex=male age=b_young\
track uMassBrainHistoneSignalS7NeuP8pt8yrsM\
type bigWig\
nextera-dna-exome-targeted-regions-manifest-v1-2 Nextera DNA V1.2 T bigBed 4 Illumina - Nextera DNA Exome V1.2 Target Regions 0 10 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/nextera-dna-exome-targeted-regions-manifest-v1-2.bb\
color 22,62,164\
longLabel Illumina - Nextera DNA Exome V1.2 Target Regions\
parent exomeProbesets off\
shortLabel Nextera DNA V1.2 T\
track nextera-dna-exome-targeted-regions-manifest-v1-2\
type bigBed 4\
iscaPathLossCum Path Loss bedGraph 4 ClinGen CNVs: Pathogenic Loss Coverage 2 10 200 0 0 227 127 127 0 0 0 phenDis 0 color 200,0,0\
longLabel ClinGen CNVs: Pathogenic Loss Coverage\
parent iscaViewTotal\
shortLabel Path Loss\
subGroups view=cov class=path level=sub\
track iscaPathLossCum\
polyASeqSites PolyA-Seq bed Poly(A)-sequencing from Merck Research Laboratories 0 10 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track displays the location of RNA polyadenylation (polyA) sites based\
on high-throughput RNA sequencing using the PolyA-seq protocol.\
\
\
\
PolyA-Seq data is strand-specific, therefore two tracks are provided for each tissue. PolyA\
site positions correspond to a single base, namely the ends of read alignments immediately\
upstream of the polyadenylation site. The data provided in this track consists of filtered\
polyA sites (see Methods). When multiple sites occurred within a 30-bp window on the same\
strand, the sum of the reads was attributed to the site with the most reads. Units are in\
reads per million (RPM) aligned. To obtain read counts, multiply RPM values by the total\
number of filtered reads for the corresponding experiment:\
\
\
\
\
\
\
Sample
\
\
Filtered reads
\
\
\
\
\
\
MAQC Universal Human Reference 1
\
\
5057048
\
\
\
\
MAQC Universal Human Reference 2
\
\
5030985
\
\
\
\
MAQC Brain 1
\
\
4086039
\
\
\
\
MAQC Brain 2
\
\
3921040
\
\
\
\
Brain
\
\
2980439
\
\
\
\
Kidney
\
\
4626843
\
\
\
\
Liver
\
\
5626271
\
\
\
\
Muscle
\
\
4920121
\
\
\
\
Testis
\
\
5098780
\
\
\
\
\
Display Conventions and Configuration
\
\
\
These tracks may be configured in a variety of ways to highlight different \
aspects of the displayed data. The graphical configuration options \
are shown at the top of the track description page. For more information, \
see Configuring \
graph-based tracks.\
\
\
\
In the full and pack display modes, forward-strand tracks are shown in \
red and reverse-strand tracks are shown in black.\
In the squish and dense display modes, intensity is represented in grayscale (the darker\
the shading, the higher the intensity). To show only selected subtracks, uncheck the boxes next to\
the tracks that \
you wish to hide.\
\
\
Methods
\
\
\
A detailed explanation of the experimental methods is provided at NCBI's Gene \
Expression Omnibus under accession GSE30198. Briefly, PolyA+ RNA was reverse-transcribed\
using a T(10)VN primer and strand-specific universal adapters, amplified, and sequenced\
on an Illumina GAIIx sequencer. Reads were reverse-complemented, aligned to the corresponding\
reference genome and splice junctions, and retained only if they aligned uniquely. 3' ends of\
alignments were considered polyA sites. Sites were then filtered using downstream base\
frequency matrices for true- and false-positive sites determined from a modified experiment \
based on a T(10) primer (i.e., excluding the 3' VN). When multiple filtered sites occurred\
within a 30-nt window on the same strand, read counts were summed and attributed to the most\
abundant peak. For each tissue, read counts were then divided by the total number of reads,\
in millions, from all filtered sites.\
\
This track contains GENCODE or Ensembl alignments produced by\
the TransMap cross-species alignment algorithm from other vertebrate\
species in the UCSC Genome Browser. GENCODE is Ensembl for human and mouse,\
for other Ensembl sources, only ones with full gene builds are used.\
Projection Ensembl gene annotations will not be used as sources.\
For closer evolutionary distances, the alignments are created using\
syntenically filtered BLASTZ alignment chains, resulting in a prediction of the\
orthologous genes in human.\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare cDNAs against the genomic sequence. For more \
information about this option, click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
Methods
\
\
\
\
Source transcript alignments were obtained from vertebrate organisms\
in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank \
mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes,\
were used as available.\
For all vertebrate assemblies that had BLASTZ alignment chains and\
nets to the human (hg19) genome, a subset of the alignment chains were\
selected as follows:\
\
For organisms whose branch distance was no more than 0.5\
(as computed by phyloFit, see Conservation track description for details),\
syntenic filtering was used. Reciprocal best nets were used if available;\
otherwise, nets were selected with the netfilter -syn command.\
The chains corresponding to the selected nets were used for mapping.\
For more distant species, where the determination of synteny is difficult,\
the full set of chains was used for mapping. This allows for more genes to\
map at the expense of some mapping to paralogous regions. The\
post-alignment filtering step removes some of the duplications.\
\
The pslMap program was used to do a base-level projection of\
the source transcript alignments via the selected chains\
to the human genome, resulting in pairwise alignments of the source transcripts to\
the genome.\
The resulting alignments were filtered with pslCDnaFilter\
with a global near-best criteria of 0.5% in finished genomes\
(human and mouse) and 1.0% in other genomes. Alignments\
where less than 20% of the transcript mapped were discarded.\
\
\
\
\
To ensure unique identifiers for each alignment, cDNA and gene accessions were\
made unique by appending a suffix for each location in the source genome and\
again for each mapped location in the destination genome. The format is:\
\
accession.version-srcUniq.destUniq\
\
\
Where srcUniq is a number added to make each source alignment unique, and\
destUniq is added to give the subsequent TransMap alignments unique\
identifiers.\
\
\
For example, in the cow genome, there are two alignments of mRNA BC149621.1.\
These are assigned the identifiers BC149621.1-1 and BC149621.1-2.\
When these are mapped to the human genome, BC149621.1-1 maps to a single\
location and is given the identifier BC149621.1-1.1. However, BC149621.1-2\
maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note\
that multiple TransMap mappings are usually the result of tandem duplications, where both\
chains are identified as syntenic.\
\
\
Data Access
\
\
\
The raw data for these tracks can be accessed interactively through the\
Table Browser or the\
Data Integrator.\
For automated analysis, the annotations are stored in\
bigPsl files (containing a\
number of extra columns) and can be downloaded from our\
download server, \
or queried using our API. For more \
information on accessing track data see our \
Track Data Access FAQ.\
The files are associated with these tracks in the following way:\
\
TransMap Ensembl - hg19.ensembl.transMapV4.bigPsl
\
TransMap RefGene - hg19.refseq.transMapV4.bigPsl
\
TransMap RNA - hg19.rna.transMapV4.bigPsl
\
TransMap ESTs - hg19.est.transMapV4.bigPsl
\
\
Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
\
This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide and annotations produced by the RefSeq,\
Ensembl, and GENCODE annotations projects.
\
This track contains RefSeq Gene alignments produced by\
the TransMap cross-species alignment algorithm\
from other vertebrate species in the UCSC Genome Browser.\
For closer evolutionary distances, the alignments are created using\
syntenically filtered BLASTZ alignment chains, resulting in a prediction of the\
orthologous genes in human.\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare cDNAs against the genomic sequence. For more \
information about this option, click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
Methods
\
\
\
\
Source transcript alignments were obtained from vertebrate organisms\
in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank \
mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes,\
were used as available.\
For all vertebrate assemblies that had BLASTZ alignment chains and\
nets to the human (hg19) genome, a subset of the alignment chains were\
selected as follows:\
\
For organisms whose branch distance was no more than 0.5\
(as computed by phyloFit, see Conservation track description for details),\
syntenic filtering was used. Reciprocal best nets were used if available;\
otherwise, nets were selected with the netfilter -syn command.\
The chains corresponding to the selected nets were used for mapping.\
For more distant species, where the determination of synteny is difficult,\
the full set of chains was used for mapping. This allows for more genes to\
map at the expense of some mapping to paralogous regions. The\
post-alignment filtering step removes some of the duplications.\
\
The pslMap program was used to do a base-level projection of\
the source transcript alignments via the selected chains\
to the human genome, resulting in pairwise alignments of the source transcripts to\
the genome.\
The resulting alignments were filtered with pslCDnaFilter\
with a global near-best criteria of 0.5% in finished genomes\
(human and mouse) and 1.0% in other genomes. Alignments\
where less than 20% of the transcript mapped were discarded.\
\
\
\
\
To ensure unique identifiers for each alignment, cDNA and gene accessions were\
made unique by appending a suffix for each location in the source genome and\
again for each mapped location in the destination genome. The format is:\
\
accession.version-srcUniq.destUniq\
\
\
Where srcUniq is a number added to make each source alignment unique, and\
destUniq is added to give the subsequent TransMap alignments unique\
identifiers.\
\
\
For example, in the cow genome, there are two alignments of mRNA BC149621.1.\
These are assigned the identifiers BC149621.1-1 and BC149621.1-2.\
When these are mapped to the human genome, BC149621.1-1 maps to a single\
location and is given the identifier BC149621.1-1.1. However, BC149621.1-2\
maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note\
that multiple TransMap mappings are usually the result of tandem duplications, where both\
chains are identified as syntenic.\
\
\
Data Access
\
\
\
The raw data for these tracks can be accessed interactively through the\
Table Browser or the\
Data Integrator.\
For automated analysis, the annotations are stored in\
bigPsl files (containing a\
number of extra columns) and can be downloaded from our\
download server, \
or queried using our API. For more \
information on accessing track data see our \
Track Data Access FAQ.\
The files are associated with these tracks in the following way:\
\
TransMap Ensembl - hg19.ensembl.transMapV4.bigPsl
\
TransMap RefGene - hg19.refseq.transMapV4.bigPsl
\
TransMap RNA - hg19.rna.transMapV4.bigPsl
\
TransMap ESTs - hg19.est.transMapV4.bigPsl
\
\
Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
\
This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide and annotations produced by the RefSeq,\
Ensembl, and GENCODE annotations projects.
\
This track contains GenBank mRNA alignments produced by\
the TransMap cross-species alignment algorithm\
from other vertebrate species in the UCSC Genome Browser.\
For closer evolutionary distances, the alignments are created using\
syntenically filtered BLASTZ alignment chains, resulting in a prediction of the\
orthologous genes in human.\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare cDNAs against the genomic sequence. For more \
information about this option, click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
Methods
\
\
\
\
Source transcript alignments were obtained from vertebrate organisms\
in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank \
mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes,\
were used as available.\
For all vertebrate assemblies that had BLASTZ alignment chains and\
nets to the human (hg19) genome, a subset of the alignment chains were\
selected as follows:\
\
For organisms whose branch distance was no more than 0.5\
(as computed by phyloFit, see Conservation track description for details),\
syntenic filtering was used. Reciprocal best nets were used if available;\
otherwise, nets were selected with the netfilter -syn command.\
The chains corresponding to the selected nets were used for mapping.\
For more distant species, where the determination of synteny is difficult,\
the full set of chains was used for mapping. This allows for more genes to\
map at the expense of some mapping to paralogous regions. The\
post-alignment filtering step removes some of the duplications.\
\
The pslMap program was used to do a base-level projection of\
the source transcript alignments via the selected chains\
to the human genome, resulting in pairwise alignments of the source transcripts to\
the genome.\
The resulting alignments were filtered with pslCDnaFilter\
with a global near-best criteria of 0.5% in finished genomes\
(human and mouse) and 1.0% in other genomes. Alignments\
where less than 20% of the transcript mapped were discarded.\
\
\
\
\
To ensure unique identifiers for each alignment, cDNA and gene accessions were\
made unique by appending a suffix for each location in the source genome and\
again for each mapped location in the destination genome. The format is:\
\
accession.version-srcUniq.destUniq\
\
\
Where srcUniq is a number added to make each source alignment unique, and\
destUniq is added to give the subsequent TransMap alignments unique\
identifiers.\
\
\
For example, in the cow genome, there are two alignments of mRNA BC149621.1.\
These are assigned the identifiers BC149621.1-1 and BC149621.1-2.\
When these are mapped to the human genome, BC149621.1-1 maps to a single\
location and is given the identifier BC149621.1-1.1. However, BC149621.1-2\
maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note\
that multiple TransMap mappings are usually the result of tandem duplications, where both\
chains are identified as syntenic.\
\
\
Data Access
\
\
\
The raw data for these tracks can be accessed interactively through the\
Table Browser or the\
Data Integrator.\
For automated analysis, the annotations are stored in\
bigPsl files (containing a\
number of extra columns) and can be downloaded from our\
download server, \
or queried using our API. For more \
information on accessing track data see our \
Track Data Access FAQ.\
The files are associated with these tracks in the following way:\
\
TransMap Ensembl - hg19.ensembl.transMapV4.bigPsl
\
TransMap RefGene - hg19.refseq.transMapV4.bigPsl
\
TransMap RNA - hg19.rna.transMapV4.bigPsl
\
TransMap ESTs - hg19.est.transMapV4.bigPsl
\
\
Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
\
This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide and annotations produced by the RefSeq,\
Ensembl, and GENCODE annotations projects.
\
This track contains GenBank spliced EST alignments produced by\
the TransMap cross-species alignment algorithm\
from other vertebrate species in the UCSC Genome Browser.\
For closer evolutionary distances, the alignments are created using\
syntenically filtered BLASTZ alignment chains, resulting in a prediction of the\
orthologous genes in human.\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare cDNAs against the genomic sequence. For more \
information about this option, click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
Methods
\
\
\
\
Source transcript alignments were obtained from vertebrate organisms\
in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank \
mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes,\
were used as available.\
For all vertebrate assemblies that had BLASTZ alignment chains and\
nets to the human (hg19) genome, a subset of the alignment chains were\
selected as follows:\
\
For organisms whose branch distance was no more than 0.5\
(as computed by phyloFit, see Conservation track description for details),\
syntenic filtering was used. Reciprocal best nets were used if available;\
otherwise, nets were selected with the netfilter -syn command.\
The chains corresponding to the selected nets were used for mapping.\
For more distant species, where the determination of synteny is difficult,\
the full set of chains was used for mapping. This allows for more genes to\
map at the expense of some mapping to paralogous regions. The\
post-alignment filtering step removes some of the duplications.\
\
The pslMap program was used to do a base-level projection of\
the source transcript alignments via the selected chains\
to the human genome, resulting in pairwise alignments of the source transcripts to\
the genome.\
The resulting alignments were filtered with pslCDnaFilter\
with a global near-best criteria of 0.5% in finished genomes\
(human and mouse) and 1.0% in other genomes. Alignments\
where less than 20% of the transcript mapped were discarded.\
\
\
\
\
To ensure unique identifiers for each alignment, cDNA and gene accessions were\
made unique by appending a suffix for each location in the source genome and\
again for each mapped location in the destination genome. The format is:\
\
accession.version-srcUniq.destUniq\
\
\
Where srcUniq is a number added to make each source alignment unique, and\
destUniq is added to give the subsequent TransMap alignments unique\
identifiers.\
\
\
For example, in the cow genome, there are two alignments of mRNA BC149621.1.\
These are assigned the identifiers BC149621.1-1 and BC149621.1-2.\
When these are mapped to the human genome, BC149621.1-1 maps to a single\
location and is given the identifier BC149621.1-1.1. However, BC149621.1-2\
maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note\
that multiple TransMap mappings are usually the result of tandem duplications, where both\
chains are identified as syntenic.\
\
\
Data Access
\
\
\
The raw data for these tracks can be accessed interactively through the\
Table Browser or the\
Data Integrator.\
For automated analysis, the annotations are stored in\
bigPsl files (containing a\
number of extra columns) and can be downloaded from our\
download server, \
or queried using our API. For more \
information on accessing track data see our \
Track Data Access FAQ.\
The files are associated with these tracks in the following way:\
\
TransMap Ensembl - hg19.ensembl.transMapV4.bigPsl
\
TransMap RefGene - hg19.refseq.transMapV4.bigPsl
\
TransMap RNA - hg19.rna.transMapV4.bigPsl
\
TransMap ESTs - hg19.est.transMapV4.bigPsl
\
\
Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
\
This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide and annotations produced by the RefSeq,\
Ensembl, and GENCODE annotations projects.
\
\
genes 1 baseColorDefault none\
baseColorUseSequence lfExtra\
bigDataUrl /gbdb/hg19/transMap/V5/hg19.est.transMapV5.bigPsl\
canPack on\
color 0,100,0\
defaultLabelFields orgAbbrev,srcTransId\
group genes\
html transMapEst\
indelDoubleInsert on\
indelQueryInsert on\
labelFields commonName,orgAbbrev,srcDb,srcTransId,name\
labelSeparator " "\
longLabel TransMap EST Mappings Version 5\
priority 10.005\
searchIndex name,srcTransId\
shortLabel TransMap ESTs\
showDiffBasesAllScales .\
showDiffBasesMaxZoom 10000.0\
superTrack transMapV5 hide\
track transMapEstV5\
transMapSrcSet est\
type bigPsl\
visibility hide\
chainGeoFor1 Medium ground finch Chain chain geoFor1 Medium ground finch (Apr. 2012 (GeoFor_1.0/geoFor1)) Chained Alignments 3 11 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Medium ground finch (Apr. 2012 (GeoFor_1.0/geoFor1)) Chained Alignments\
otherDb geoFor1\
parent vertebrateChainNetViewchain off\
shortLabel Medium ground finch Chain\
subGroups view=chain species=s013 clade=c01\
track chainGeoFor1\
type chain geoFor1\
chainRheMac10 Rhesus Chain chain rheMac10 Rhesus (Feb. 2019 (Mmul_10/rheMac10)) Chained Alignments 3 11 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Rhesus (Feb. 2019 (Mmul_10/rheMac10)) Chained Alignments\
otherDb rheMac10\
parent primateChainNetViewchain off\
shortLabel Rhesus Chain\
subGroups view=chain species=s021 clade=c01\
track chainRheMac10\
type chain rheMac10\
chainRn4 Rat Chain chain rn4 Rat (Nov. 2004 (Baylor 3.4/rn4)) Chained Alignments 3 11 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Rat (Nov. 2004 (Baylor 3.4/rn4)) Chained Alignments\
otherDb rn4\
parent placentalChainNetViewchain off\
shortLabel Rat Chain\
subGroups view=chain species=s026 clade=c00\
track chainRn4\
type chain rn4\
encTfChipPkENCFF543VGD A549 CTCF 3 narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in A549 from ENCODE 3 (ENCFF543VGD) 1 11 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in A549 from ENCODE 3 (ENCFF543VGD)\
parent encTfChipPk off\
shortLabel A549 CTCF 3\
subGroups cellType=A549 factor=CTCF\
track encTfChipPkENCFF543VGD\
wgEncodeHaibRnaSeqA549Dex1nmRawRep2 A549 DEX1nM 2 bigWig 0.122421 1310.829956 A549 DEX 1 hr 1 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 11 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 1 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 DEX1nM 2\
subGroups view=RawSignal cellType=t2A549 treatment=DEX1NM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex1nmRawRep2\
type bigWig 0.122421 1310.829956\
pgAbtSolid ABTutu pgSnp ABTutu Genome Variants, SOLiD 3 11 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ABTutu Genome Variants, SOLiD\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel ABTutu\
subGroups view=A_PSU id=AE_ABTutu type=SNP\
track pgAbtSolid\
agilentCghSnpCancer4x180k Ag Can 4x180k bed 9 . Agilent SurePrint G3 Human CGH+SNP Cancer Microarray 4x180K AMADID 030587 0 11 0 0 128 127 127 191 0 0 0 varRep 1 color 0,0,128\
itemRgb on\
longLabel Agilent SurePrint G3 Human CGH+SNP Cancer Microarray 4x180K AMADID 030587\
parent genotypeArrays\
priority 11\
shortLabel Ag Can 4x180k\
track agilentCghSnpCancer4x180k\
type bed 9 .\
wgEncodeHaibMethyl450Ag04449SitesRep1 AG04449 bed 9 AG04449 Methylation 450K Bead Array from ENCODE/HAIB 1 11 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AG04449\
subGroups cellType=t3AG04449 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ag04449SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwAg04449UniPk AG04449 DNase narrowPeak AG04449 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 11 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AG04449 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AG04449 DNase\
subGroups tier=a30 cellType=AG04449\
track wgEncodeAwgDnaseUwAg04449UniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_ctss_fwd AorticSmsToFgf2_00hr30minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_forward 0 11 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep1%20%28LK7%29.CNhs13341.12644-134G7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12644-134G7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_tpm_fwd AorticSmsToFgf2_00hr30minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_forward 1 11 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep1%20%28LK7%29.CNhs13341.12644-134G7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12644-134G7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainCortex brainCortex bed 9 + Expression QTL in Brain_Cortex from GTEx V6 0 11 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainCortex where name='%s'\
longLabel Expression QTL in Brain_Cortex from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainCortex\
track gtexEqtlTissueBrainCortex\
dhcHumDerDenAncCcdsSpliceFixed CC Splice Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS Splice 3 11 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS Splice\
parent dhcHumDerDenAncCcds\
shortLabel CC Splice Fxd\
subGroups view=Ccds subset=CcdsSplice freq=Fixed\
track dhcHumDerDenAncCcdsSpliceFixed\
wgEncodeUwDgfCd20ro01778Sig CD20+ Sig bigWig 1.000000 28523.000000 B cells CD20+ RO01778 DNaseI DGF Per-base Signal from ENCODE/UW 2 11 0 0 0 127 127 127 0 0 0 regulation 0 longLabel B cells CD20+ RO01778 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel CD20+ Sig\
subGroups view=Signal cellType=t2BCELLSCD20RO01778 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd20ro01778Sig\
type bigWig 1.000000 28523.000000\
dhcVcfHGDP01307 Dai Variants vcfTabix Dai Individual (HGDP01307) Variant Calls 0 11 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Dai Individual (HGDP01307) Variant Calls\
parent dhcVcfModern\
priority 11\
shortLabel Dai Variants\
track dhcVcfHGDP01307\
vcfDoMaf off\
wgEncodeProtGenoSuper ENC ProtGeno ENCODE Proteogenomics 0 11 0 0 0 127 127 127 0 0 0
Description
\
This super track shows proteogenomic mappings of peptides from ENCODE cell\
types mapped to the human genome which represent fragments of translated proteins \
from the respective cell lines. Proteogenomic methods differ from conventional \
mass-spec proteomic methods. Conventional mass-spec proteomic methods identify \
peptides by comparing them to peptides produced from known proteins. In contrast, \
proteogenomic methods compare the peptides to all peptides that might theoretically \
be produced by the six possible translation frames of the genome (three on the \
forward strand plus three on the reverse strand) to identify the genomic region \
from which the peptides were produced. Study of proteogenomic data offers insights \
on numerous regulatory mechanisms, including: translation, pre-mRNA splicing and \
transcript diversity, nonsense-mediated decay, and transcription of novel protein-coding \
genes. Two tracks UNC/BSU ProtGenc and UNC/BSU ProtGeno that differ in database \
search scheme are presented here. UNC/BSU ProtGenc are the combined results from \
searching against Hg19 and GENCODE of peptides of both regular and post-translational \
modifications. UNC/BSU ProtGeno only contains the database search results of Hg19 \
of regular peptides. \
\
\
Display Conventions and Configuration
\
\
Most ENCODE tracks contain multiple subtracks corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display\
controls\
on the track details pages.\
\
\
Credits
\
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions to\
facilitate integrative analysis. Consequently, additional ENCODE tracks\
may contain data that is relevant to the data in these tracks.\
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until \
column on the track configuration page and the download page. The full \
data release policy for ENCODE is available \
here.\
\
expression 0 group expression\
longLabel ENCODE Proteogenomics\
priority 11\
shortLabel ENC ProtGeno\
superTrack on\
track wgEncodeProtGenoSuper\
filterABQD GIAB allele imbalance bigBed 3 NIST Genome-in-a-bottle: calls with abnormal allele balance 1 11 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/filterABQD.bb\
longLabel NIST Genome-in-a-bottle: calls with abnormal allele balance\
parent problematic\
priority 11\
shortLabel GIAB allele imbalance\
track filterABQD\
type bigBed 3\
visibility dense\
wgEncodeAwgTfbsSydhGm12878Chd2ab68301IggmusUniPk GM12878 CHD2 narrowPeak GM12878 TFBS Uniform Peaks of CHD2_(AB68301) from ENCODE/Stanford/Analysis 1 11 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CHD2_(AB68301) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 CHD2\
subGroups tier=a10 cellType=a10GM12878 factor=CHD2 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Chd2ab68301IggmusUniPk\
wgEncodeBroadHistoneGm12878H3k04me3StdPkV2 GM12878 H3K4m3 broadPeak GM12878 H3K4me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 11 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K4m3\
subGroups view=Peaks factor=H3K04ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k04me3StdPkV2\
type broadPeak\
wgEncodeSunyRipSeqGm12878T7tagAlnRep1 GM12878 T7Tag 1 bam GM12878 T7Tag RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 11 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 T7Tag RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 T7Tag 1\
subGroups view=Alignments factor=T7Tag cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878T7tagAlnRep1\
type bam\
wgEncodeOpenChromSynthGm18507Pk GM18507 Syn Pk bed 9 + GM18507 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 11 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM18507 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel GM18507 Syn Pk\
subGroups cellType=t3GM18507 treatment=aNone\
track wgEncodeOpenChromSynthGm18507Pk\
type bed 9 +\
wgEncodeCaltechRnaSeqGm12878R1x75dAlignsRep2V2 GM78 1x75D A 2 bam GM12878 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 11 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel GM78 1x75D A 2\
subGroups view=Aligns cellType=t1GM12878 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dAlignsRep2V2\
type bam\
wgEncodeHaibTfbsGm12878BatfPcr1xPkRep2 GM78 BATF PCR1 2 broadPeak GM12878 BATF PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 11 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BATF PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BATF PCR1 2\
subGroups view=Peaks factor=BATF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878BatfPcr1xPkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CellPapContigs GM78 cel pA+ C bed 6 + GM12878 whole cell polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 11 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs on\
shortLabel GM78 cel pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=CELL rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqGm12878CellPapContigs\
type bed 6 +\
wgEncodeSydhTfbsGm12878Chd2ab68301IggmusPk GM78 CHD2 IgM narrowPeak GM12878 CHD2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 11 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CHD2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 CHD2 IgM\
subGroups view=Peaks factor=CHD2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Chd2ab68301IggmusPk\
type narrowPeak\
wgEncodeRikenCageGm12878CytosolPapAlnRep2 GM78 cyto pA+ A 2 bam GM12878 cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 11 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 cyto pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CytosolPapAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapContigs GM78 cyto TAP C bed 6 GM12878 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL 2 11 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel GM78 cyto TAP C\
subGroups view=Contigs cellType=t1GM12878 localization=CYTOSOL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapContigs\
type bed 6\
wgEncodeUwHistoneGm12878H3k27me3StdPkRep2 GM78 H3K27M3 Pk 2 narrowPeak GM12878 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 11 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K27M3 Pk 2\
subGroups view=Peaks factor=H3K27ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdPkRep2\
type narrowPeak\
wgEncodeOpenChromChipH1hescCmycPk H1-hESC cMyc Pk narrowPeak H1-hESC cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 11 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel H1-hESC cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCmycPk\
type narrowPeak\
wgEncodeGisRnaPetH1hescCellPapPlusRawRep1 H1ES cell pA+ + 1 bigWig 1.000000 826778.000000 H1-hESC whole cell polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 11 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig on\
shortLabel H1ES cell pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aH1HESC cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetH1hescCellPapPlusRawRep1\
type bigWig 1.000000 826778.000000\
wgEncodeFsuRepliChipH7esWaveSignalRep2 H7-hESC 2 bigWig -1.823388 1.942219 H7-hESC Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 11 0 0 0 127 127 127 0 0 0 regulation 0 longLabel H7-hESC Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel H7-hESC 2\
subGroups view=WaveSignal cellType=t3H7HESC rep=rep2\
track wgEncodeFsuRepliChipH7esWaveSignalRep2\
type bigWig -1.823388 1.942219\
hapmapSnpsYRI HapMap SNPs YRI bed 6 + HapMap SNPs from the YRI Population (Yoruba in Ibadan, Nigeria) 0 11 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HapMap SNPs from the YRI Population (Yoruba in Ibadan, Nigeria)\
parent hapmapSnps\
priority 11\
shortLabel HapMap SNPs YRI\
track hapmapSnpsYRI\
wgEncodeAwgSegmentationCombinedHelas3 HeLa-S3 Combined bed 9 . HeLa-S3 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 11 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HeLa-S3 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HeLa-S3 Combined\
subGroups tier=t2 cellType=t2HELAS3 method=Combined\
track wgEncodeAwgSegmentationCombinedHelas3\
type bed 9 .\
wgEncodeHaibMethylRrbsHepg2DukeSitesRep1 HepG2 1 bed 9 + HepG2 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 11 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs on\
shortLabel HepG2 1\
subGroups cellType=t2HEPG2 obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHepg2DukeSitesRep1\
type bed 9 +\
decodeHotSpotMale Hot Spot Male bed 4 deCODE recombination map, male >= 10.0 1 11 0 81 200 127 168 227 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 1 color 0,81,200\
configurable on\
longLabel deCODE recombination map, male >= 10.0\
parent hotView\
priority 11\
shortLabel Hot Spot Male\
subGroups view=hot\
track decodeHotSpotMale\
wgEncodeUwAffyExonArrayHuvecSimpleSignalRep2 HUVEC 2 broadPeak HUVEC Exon array Signal Rep 2 from ENCODE/UW 0 11 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HUVEC 2\
subGroups cellType=t2HUVEC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHuvecSimpleSignalRep2\
type broadPeak\
wgEncodeUncBsuProtGencK562CellIngelpepMapGcFt K562 Ce bigBed 12 K562 In-gel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU 2 11 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 In-gel ProtG GENCODE11 Hg19 Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewpepMapGcFt\
shortLabel K562 Ce\
subGroups view=pepMapGcFt cellType=K562 localization=CELL protocol=INGEL\
track wgEncodeUncBsuProtGencK562CellIngelpepMapGcFt\
type bigBed 12\
wgEncodeSunyAlbanyGeneStK562Celf1RbpAssocRnaV2 K562 CELF1 broadPeak K562 CELF1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 11 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CELF1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel K562 CELF1\
subGroups cellType=t1K562 factor=CELF1\
track wgEncodeSunyAlbanyGeneStK562Celf1RbpAssocRnaV2\
type broadPeak\
wgEncodeUwTfbsK562CtcfStdHotspotsRep2 K562 CTCF Ht 2 broadPeak K562 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 11 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot on\
shortLabel K562 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t1K562 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeGisRnaSeqK562CytosolPapPlusRawRep1 K562 cyto pA+ + 1 bigWig 1.000000 169047.000000 K562 cytosol polyA+ RNA-seq Plus raw signal rep 2 from ENCODE/GIS 2 11 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Plus raw signal rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewPlusRawSignal on\
shortLabel K562 cyto pA+ + 1\
subGroups view=PlusRawSignal cellType=t1K562 rnaExtract=longPolyA rep=rep1 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapPlusRawRep1\
type bigWig 1.000000 169047.000000\
wgEncodeUwRepliSeqK562G1PctSignalRep1 K562 G1 1 bigWig 1.000000 100.000000 K562 G1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 11 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 G1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 G1 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p1G1 rep=rep1\
track wgEncodeUwRepliSeqK562G1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseK562G2mphaseSig K562 G2-M DS bigWig 0.000000 0.880900 K562 G2-M phase DNaseI HS Density Signal from ENCODE/Duke 2 11 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 G2-M phase DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel K562 G2-M DS\
subGroups view=SIG cellType=t1K562 treatment=G2MPHASE\
track wgEncodeOpenChromDnaseK562G2mphaseSig\
type bigWig 0.000000 0.880900\
wgEncodeDukeAffyExonK562NabutSimpleSignalRep4 K562 Nabut 4 bigBed 6 + K562 NaBut Exon array Signal Rep 4 from ENCODE/Duke 0 11 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 NaBut Exon array Signal Rep 4 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 Nabut 4\
subGroups cellType=t1K562 treatment=NABUT rep=rep4\
track wgEncodeDukeAffyExonK562NabutSimpleSignalRep4\
type bigBed 6 +\
wgEncodeUchicagoTfbsK562Enr4a1ControlPk K562 NR4A1/GFP Pk narrowPeak K562 NR4A1 GFP-tag TFBS Peaks from ENCODE/UChicago 3 11 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 NR4A1 GFP-tag TFBS Peaks from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsPeaks\
shortLabel K562 NR4A1/GFP Pk\
subGroups view=Peaks factor=NR4A1 cellType=K562 control=ControlNR4A1 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Enr4a1ControlPk\
type narrowPeak\
wgEncodeAffyRnaChipFiltTransfragsK562NucleusLongnonpolya K562 nucl pA- broadPeak K562 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 11 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 nucl pA-\
subGroups view=FiltTransfrags cellType=t1K562 localization=dNUCLEUS rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsK562NucleusLongnonpolya\
type broadPeak\
wgEncodeUwDnaseK562PkRep1 K562 Pk 1 narrowPeak K562 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 11 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks\
shortLabel K562 Pk 1\
subGroups view=Peaks cellType=t1K562 rep=rep1 treatment=None\
track wgEncodeUwDnaseK562PkRep1\
type narrowPeak\
wgEncodeOpenChromFaireK562OhureaSig K562 urea FAIR DS bigWig 0.000000 0.142500 K562 Hydroxyurea FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 11 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Hydroxyurea FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel K562 urea FAIR DS\
subGroups view=SIG cellType=t1K562 treatment=HYDROUREA\
track wgEncodeOpenChromFaireK562OhureaSig\
type bigWig 0.000000 0.142500\
lincRNAsCTKidney Kidney bed 5 + lincRNAs from kidney 1 11 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from kidney\
parent lincRNAsAllCellType on\
shortLabel Kidney\
subGroups view=lincRNAsRefseqExp tissueType=kidney\
track lincRNAsCTKidney\
wgEncodeHaibGenotypeMcf7RegionsRep1 MCF-7 1 bed 9 + MCF-7 Copy number variants Replicate 1 from ENCODE/HAIB 0 11 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF-7 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF-7 1\
subGroups cellType=t2MCF7 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeMcf7RegionsRep1\
type bed 9 +\
wgEncodeSydhHistoneMcf7H3k09me3UcdSig MCF-7 H3K9me3 bigWig 1.000000 41149.000000 MCF-7 H3K9me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 11 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 H3K9me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel MCF-7 H3K9me3\
subGroups view=Signal factor=H3K09ME3 cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k09me3UcdSig\
type bigWig 1.000000 41149.000000\
wgEncodeGisChiaPetMcf7CtcfInteractionsRep2 MCF7 CTCF Int 2 bed 12 MCF-7 CTCF ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan 2 11 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 CTCF ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 CTCF Int 2\
subGroups view=Interactions factor=CTCF cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7CtcfInteractionsRep2\
type bed 12\
uMassBrainHistoneSignalS8NeuP14yrsM NeuN+ 14yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN+ D8) Gender-male Age-14 2 11 41 158 41 148 206 148 0 0 0 regulation 0 color 41,158,41\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D8) Gender-male Age-14\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 14yrs M\
subGroups view=Signal donor=i_8 cellType=norm sex=male age=b_young\
track uMassBrainHistoneSignalS8NeuP14yrsM\
type bigWig\
nexterarapidcapture_expandexome_targetedregions Nextera Rapid Exp. T bigBed 4 Illumina - Nextera Rapid Capture Expanded Exome Target Regions 0 11 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/nexterarapidcapture_expandedexome_targetedregions.bb\
color 22,62,164\
longLabel Illumina - Nextera Rapid Capture Expanded Exome Target Regions\
parent exomeProbesets off\
shortLabel Nextera Rapid Exp. T\
track nexterarapidcapture_expandexome_targetedregions\
type bigBed 4\
unipOther Other Annot. bigBed 12 + UniProt Other Annotations 1 11 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipOther.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Other Annotations\
parent uniprot\
priority 11\
shortLabel Other Annot.\
track unipOther\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#family_and_domains" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility dense\
polyASeqSitesMaqcUhr1Fwd PolyA-Seq MaqcUhr1 bigWig 0.200000 25178.449219 Poly(A)-tail sequencing of MAQC UHR (replicate 1) from Merck (Fwd strand) 2 11 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of MAQC UHR (replicate 1) from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq MaqcUhr1\
subGroups view=Signal tissType=MaqcUhr1 strand=fwd\
track polyASeqSitesMaqcUhr1Fwd\
type bigWig 0.200000 25178.449219\
burgeRnaSeqGemMapperAlignLiver RNA-seq Liver bed 12 Burge Lab RNA-seq 32mer Reads from Liver 1 11 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from Liver\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq Liver\
subGroups view=Alignments tissueType=liver\
track burgeRnaSeqGemMapperAlignLiver\
sibTxGraph SIB Alt-Splicing altGraphX Alternative Splicing Graph from Swiss Institute of Bioinformatics 0 11 0 0 0 127 127 127 0 0 0 http://ccg.vital-it.ch/cgi-bin/tromer/tromergraph2draw.pl?db=hg19&species=H.+sapiens&tromer=$$
Description
\
\
This track shows the graphs constructed by analyzing experimental RNA\
transcripts and serves as basis for the predicted alternative splicing\
transcripts shown in the SIB Genes track. The blocks represent exons; lines\
indicate introns. The graphical display is drawn such that no exons\
overlap, making alternative events easier to view when the track is in full\
display mode and the resolution is set to approximately gene-level.
\
The splicing graphs were generated using a multi-step pipeline: \
\
RefSeq and GenBank RNAs and ESTs are aligned to the genome with\
SIBsim4, keeping \
only the best alignments for each RNA.\
Alignments are broken up at non-intronic gaps, with small isolated \
fragments thrown out.\
A splicing graph is created for each set of overlapping alignments. This\
graph has an edge for each exon or intron, and a vertex for each splice site,\
start, and end. Each RNA that contributes to an edge is kept as evidence for\
that edge.\
Graphs consisting solely of unspliced ESTs are discarded.\
\
\
Credits
\
\
The SIB Alternative Splicing Graphs track was produced on the Vital-IT high-performance \
computing platform\
using a computational pipeline developed by Christian Iseli with help from\
colleagues at the Ludwig \
Institute for Cancer\
Research and the Swiss \
Institute of Bioinformatics. It is based on data from NCBI RefSeq and GenBank/EMBL. Our\
thanks to the people running these databases and to the scientists worldwide\
who have made contributions to them.
\
rna 1 group rna\
idInUrlSql select name from sibTxGraph where id=%s\
longLabel Alternative Splicing Graph from Swiss Institute of Bioinformatics\
priority 11\
shortLabel SIB Alt-Splicing\
track sibTxGraph\
type altGraphX\
url http://ccg.vital-it.ch/cgi-bin/tromer/tromergraph2draw.pl?db=hg19&species=H.+sapiens&tromer=$$\
urlLabel SIB link:\
visibility hide\
unipStruct Structure bigBed 12 + UniProt Protein Primary/Secondary Structure Annotations 0 11 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipStruct.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
group genes\
longLabel UniProt Protein Primary/Secondary Structure Annotations\
parent uniprot\
priority 11\
shortLabel Structure\
track unipStruct\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#structure" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility hide\
iscaUncertain Uncertain gvf ClinGen CNVs: Uncertain 3 11 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/dbvar/?term=$$ phenDis 1 longLabel ClinGen CNVs: Uncertain\
parent iscaViewDetail off\
shortLabel Uncertain\
subGroups view=cnv class=unc level=sub\
track iscaUncertain\
netRn4 rn4 Net netAlign rn4 chainRn4 Rat (Nov. 2004 (Baylor 3.4/rn4)) Alignment Net 1 12 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Rat (Nov. 2004 (Baylor 3.4/rn4)) Alignment Net\
otherDb rn4\
parent placentalChainNetViewnet off\
shortLabel rn4 Net\
subGroups view=net species=s026 clade=c00\
track netRn4\
type netAlign rn4 chainRn4\
netGeoFor1 Medium ground finch Net netAlign geoFor1 chainGeoFor1 Medium ground finch (Apr. 2012 (GeoFor_1.0/geoFor1)) Alignment Net 1 12 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Medium ground finch (Apr. 2012 (GeoFor_1.0/geoFor1)) Alignment Net\
otherDb geoFor1\
parent vertebrateChainNetViewnet on\
shortLabel Medium ground finch Net\
subGroups view=net species=s013 clade=c01\
track netGeoFor1\
type netAlign geoFor1 chainGeoFor1\
netRheMac10 Rhesus Net netAlign rheMac10 chainRheMac10 Rhesus (Feb. 2019 (Mmul_10/rheMac10)) Alignment Net 1 12 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Rhesus (Feb. 2019 (Mmul_10/rheMac10)) Alignment Net\
otherDb rheMac10\
parent primateChainNetViewnet off\
shortLabel Rhesus Net\
subGroups view=net species=s021 clade=c01\
track netRheMac10\
type netAlign rheMac10 chainRheMac10\
wgEncodeHaibRnaSeqA549Dex1nmAlnRep2 A549 DEX1nM 2 bam A549 DEX 1 hr 1 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 12 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 1 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX1nM 2\
subGroups view=Alignments cellType=t2A549 treatment=DEX1NM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex1nmAlnRep2\
type bam\
encTfChipPkENCFF071ZMT A549 EHMT2 narrowPeak Transcription Factor ChIP-seq Peaks of EHMT2 in A549 from ENCODE 3 (ENCFF071ZMT) 1 12 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of EHMT2 in A549 from ENCODE 3 (ENCFF071ZMT)\
parent encTfChipPk off\
shortLabel A549 EHMT2\
subGroups cellType=A549 factor=EHMT2\
track encTfChipPkENCFF071ZMT\
pgAbt454 ABTutu exome pgSnp ABTutu Genome Variants, 454 exome 3 12 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ABTutu Genome Variants, 454 exome\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel ABTutu exome\
subGroups view=A_PSU id=AE_ABTutu type=SNP\
track pgAbt454\
agilentCghSnp4x180k Ag SNP 4x180k bed 9 . Agilent SurePrint G3 Human CGH+SNP Microarray 4x180K AMADID 029830 0 12 0 0 128 127 127 191 0 0 0 varRep 1 color 0,0,128\
itemRgb on\
longLabel Agilent SurePrint G3 Human CGH+SNP Microarray 4x180K AMADID 029830\
parent genotypeArrays\
priority 12\
shortLabel Ag SNP 4x180k\
track agilentCghSnp4x180k\
type bed 9 .\
wgEncodeHaibMethyl450Ag04450SitesRep1 AG04450 bed 9 AG04450 Methylation 450K Bead Array from ENCODE/HAIB 1 12 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AG04450\
subGroups cellType=t3AG04450 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ag04450SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwAg04450UniPk AG04450 DNase narrowPeak AG04450 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 12 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AG04450 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AG04450 DNase\
subGroups tier=a30 cellType=AG04450\
track wgEncodeAwgDnaseUwAg04450UniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_ctss_rev AorticSmsToFgf2_00hr30minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_reverse 0 12 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep1%20%28LK7%29.CNhs13341.12644-134G7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12644-134G7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_tpm_rev AorticSmsToFgf2_00hr30minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_reverse 1 12 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep1%20%28LK7%29.CNhs13341.12644-134G7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep1 (LK7)_CNhs13341_12644-134G7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12644-134G7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep1LK7_CNhs13341_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12644-134G7\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainFrontCortex brainFrontCortex bed 9 + Expression QTL in Brain_Frontal_Cortex_BA9 from GTEx V6 0 12 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainFrontCortex where name='%s'\
longLabel Expression QTL in Brain_Frontal_Cortex_BA9 from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainFrontCortex\
track gtexEqtlTissueBrainFrontCortex\
dhcHumDerDenAncCcdsSpliceFixedDbSnp CC Splice FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Splice 3 12 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Splice\
parent dhcHumDerDenAncCcds\
shortLabel CC Splice FxS\
subGroups view=Ccds subset=CcdsSplice freq=FixedDbSnp\
track dhcHumDerDenAncCcdsSpliceFixedDbSnp\
wgEncodeUwDgfCd20ro01778Raw CD20+ Raw bigWig 1.000000 112816.000000 B cells CD20+ RO01778 DNaseI DGF Raw Signal from ENCODE/UW 0 12 0 0 0 127 127 127 0 0 0 regulation 0 longLabel B cells CD20+ RO01778 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel CD20+ Raw\
subGroups view=zRaw cellType=t2BCELLSCD20RO01778 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd20ro01778Raw\
type bigWig 1.000000 112816.000000\
wgEncodeRnaSeqSuper ENC RNA-seq ENCODE RNA-seq 0 12 0 0 0 127 127 127 0 0 0
Description
\
\
RNA sequencing, or RNA-seq, is a method for mapping and quantifying the\
total amount of RNA transcripts in a cell at any given time, otherwise known as\
the transcriptome, for any organism that has a genomic DNA sequence\
assembly. Compared to microarrays that detect and quantify transcripts by\
hybridization against known sequences, RNA-seq directly sequences\
transcripts and is especially\
well-suited for de novo\
discovery of RNA splicing patterns and for determining unequivocally\
the presence or absence of lower abundance class RNAs.\
RNA-seq is performed by reverse-transcribing an RNA sample into\
cDNA followed by high throughput DNA sequencing. Most data is produced\
in the format of either single reads or paired-end reads.\
In the format of single reads each sequence read comes from one end\
of a randomly primed cDNA molecule (and represent one end of one cDNA\
segment), while paired-end reads are obtained as pairs\
from both ends of a randomly primed cDNA (and represent two opposite\
ends of one cDNA segment). The resulting sequence reads are then\
informatically mapped onto the genome sequence (Alignments). \
The current mappers (TopHat and STAR) have the ability to map\
reads to annotated and unannotated genomic regions.\
Reads mapped to annotated or novel RNA splice junctions are\
(Splice\
Sites). Earlier versions of this software did not map \
reads to unannotated genomic regions.\
\
\
Some RNA-seq protocols do not specify the coding strand. As a result,\
there can be ambiguity at loci where both strands are transcribed. \
\
Display Conventions
\
These tracks are multi-view composite tracks that contain multiple\
data types (views). Each view within a track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.\
Credits \
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks. \
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here. \
\
expression 0 group expression\
longLabel ENCODE RNA-seq\
priority 12\
shortLabel ENC RNA-seq\
superTrack on\
track wgEncodeRnaSeqSuper\
filterAlign GIAB align problem bigBed 3 NIST Genome-in-a-bottle: calls with evidence of local alignment problems like clipped reads 1 12 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/filterAlign.bb\
longLabel NIST Genome-in-a-bottle: calls with evidence of local alignment problems like clipped reads\
parent problematic\
priority 12\
shortLabel GIAB align problem\
track filterAlign\
type bigBed 3\
visibility dense\
wgEncodeAwgTfbsBroadGm12878CtcfUniPk GM12878 CTCF b narrowPeak GM12878 TFBS Uniform Peaks of CTCF from ENCODE/Broad/Analysis 1 12 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CTCF from ENCODE/Broad/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 CTCF b\
subGroups tier=a10 cellType=a10GM12878 factor=CTCF lab=Broad\
track wgEncodeAwgTfbsBroadGm12878CtcfUniPk\
wgEncodeBroadHistoneGm12878H3k04me3StdSigV2 GM12878 H3K4m3 bigWig 0.040000 44948.160156 GM12878 H3K4me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 12 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K4me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K4m3\
subGroups view=Signal factor=H3K04ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k04me3StdSigV2\
type bigWig 0.040000 44948.160156\
wgEncodeSunyRipSeqGm12878T7tagAlnRep2 GM12878 T7Tag 2 bam GM12878 T7Tag RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 12 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 T7Tag RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 T7Tag 2\
subGroups view=Alignments factor=T7Tag cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878T7tagAlnRep2\
type bam\
wgEncodeOpenChromSynthGm19239Pk GM19239 Syn Pk bed 9 + GM19239 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 12 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19239 DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel GM19239 Syn Pk\
subGroups cellType=t3GM19239 treatment=aNone\
track wgEncodeOpenChromSynthGm19239Pk\
type bed 9 +\
wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UMinusRawRep1V4 GM78 1x75D - 1 bigWig -39367.699219 -0.020000 GM12878 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 12 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal\
shortLabel GM78 1x75D - 1\
subGroups view=MinusSignal cellType=t1GM12878 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UMinusRawRep1V4\
type bigWig -39367.699219 -0.020000\
wgEncodeHaibTfbsGm12878BatfPcr1xRawRep2 GM78 BATF PCR1 2 bigWig 0.177558 118.165001 GM12878 BATF PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 12 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BATF PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BATF PCR1 2\
subGroups view=RawSignal factor=BATF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878BatfPcr1xRawRep2\
type bigWig 0.177558 118.165001\
wgEncodeCshlLongRnaSeqGm12878CellPapJunctions GM78 cel pA+ J bed 6 + GM12878 whole cell polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 12 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 cel pA+ J\
subGroups view=Junctions cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878CellPapJunctions\
type bed 6 +\
wgEncodeSydhTfbsGm12878Chd2ab68301IggmusSig GM78 CHD2 IgM bigWig 1.000000 8305.000000 GM12878 CHD2 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 12 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CHD2 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 CHD2 IgM\
subGroups view=Signal factor=CHD2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Chd2ab68301IggmusSig\
type bigWig 1.000000 8305.000000\
wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapMinusRawRep1 GM78 cyto TAP - 1 bigWig 1.000000 5676517.000000 GM12878 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 12 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 cyto TAP - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapMinusRawRep1\
type bigWig 1.000000 5676517.000000\
wgEncodeUwHistoneGm12878H3k27me3StdRawRep2 GM78 H3K27M3 Sg 2 bigWig 1.000000 4386.000000 GM12878 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 12 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 H3K27M3 Sg 2\
subGroups view=zRSig factor=H3K27ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k27me3StdRawRep2\
type bigWig 1.000000 4386.000000\
wgEncodeRikenCageGm12878NucleolusTotalTssHmmV2 GM78 nlos tot bed 6 GM12878 nucleolus total CAGE TSS HMM from ENCODE/RIKEN 3 12 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 nlos tot\
subGroups view=TssHmm cellType=t1GM12878 localization=nucleolus rnaExtract=total rep=Pooled rank=rankP\
track wgEncodeRikenCageGm12878NucleolusTotalTssHmmV2\
type bed 6\
wgEncodeOpenChromChipH1hescCmycSig H1-hESC cMyc DS bigWig 0.000000 1.701300 H1-hESC cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 12 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel H1-hESC cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCmycSig\
type bigWig 0.000000 1.701300\
wgEncodeGisRnaPetH1hescCellPapAlnRep1 H1ES cell pA+ A 1 bam H1-hESC whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 12 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel H1ES cell pA+ A 1\
subGroups view=v3Alignments cellType=aH1HESC cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetH1hescCellPapAlnRep1\
type bam\
wgEncodeFsuRepliChipH9esWaveSignalRep1 H9ES 1 bigWig -2.235592 1.987216 H9ES Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 12 0 0 0 127 127 127 0 0 0 regulation 0 longLabel H9ES Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel H9ES 1\
subGroups view=WaveSignal cellType=t3H9ES rep=rep1\
track wgEncodeFsuRepliChipH9esWaveSignalRep1\
type bigWig -2.235592 1.987216\
wgEncodeAwgSegmentationSegwayHelas3 HeLa-S3 Segway bed 9 . HeLa-S3 Genome Segmentation by Segway from ENCODE/Analysis 0 12 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HeLa-S3 Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HeLa-S3 Segway\
subGroups tier=t2 cellType=t2HELAS3 method=Segway\
track wgEncodeAwgSegmentationSegwayHelas3\
type bed 9 .\
wgEncodeHaibMethylRrbsHepg2DukeSitesRep2 HepG2 2 bed 9 + HepG2 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 12 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HepG2 2\
subGroups cellType=t2HEPG2 obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHepg2DukeSitesRep2\
type bed 9 +\
decodeHotSpotFemale Hot Spot Female bed 4 deCODE recombination map, female >= 10.0 1 12 255 0 255 255 127 255 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 1 color 255,0,255\
configurable on\
longLabel deCODE recombination map, female >= 10.0\
parent hotView\
priority 12\
shortLabel Hot Spot Female\
subGroups view=hot\
track decodeHotSpotFemale\
wgEncodeDukeAffyExonK562SimpleSignalRep1V2 K562 1 bigBed 6 + K562 Exon array Signal Rep 1 from ENCODE/Duke 0 12 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel K562 1\
subGroups cellType=t1K562 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonK562SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUncBsuProtGencK562CellIngelmPepMapGcFt K562 Ce PTM bigBed 12 K562 In-gel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU 2 12 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 In-gel ProtG GENCODE11 Hg19 PTM Mapping from ENCODE/UNC/BSU\
parent wgEncodeUncBsuProtGencViewmPepMapGcFt\
shortLabel K562 Ce PTM\
subGroups view=mPepMapGcFt cellType=K562 localization=CELL protocol=INGEL\
track wgEncodeUncBsuProtGencK562CellIngelmPepMapGcFt\
type bigBed 12\
wgEncodeUwTfbsK562CtcfStdPkRep2 K562 CTCF Pk 2 narrowPeak K562 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 12 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks on\
shortLabel K562 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t1K562 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdPkRep2\
type narrowPeak\
wgEncodeGisRnaSeqK562CytosolPapPlusRawRep2 K562 cyto pA+ + 2 bigWig 1.000000 19180.000000 K562 cytosol polyA+ RNA-seq Plus raw signal rep 2 from ENCODE/GIS 2 12 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ RNA-seq Plus raw signal rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaSeqViewPlusRawSignal on\
shortLabel K562 cyto pA+ + 2\
subGroups view=PlusRawSignal cellType=t1K562 rnaExtract=longPolyA rep=rep2 localization=cytosol\
track wgEncodeGisRnaSeqK562CytosolPapPlusRawRep2\
type bigWig 1.000000 19180.000000\
wgEncodeSunyAlbanyGeneStK562Elavl1RbpAssocRnaV2 K562 ELAVL1 broadPeak K562 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 12 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel K562 ELAVL1\
subGroups cellType=t1K562 factor=ELAVL1\
track wgEncodeSunyAlbanyGeneStK562Elavl1RbpAssocRnaV2\
type broadPeak\
wgEncodeOpenChromDnaseK562G2mphaseBaseOverlapSignal K562 G2-M OS bigWig 0.000000 319.000000 K562 G2-M phase DNaseI HS Overlap Signal from ENCODE/Duke 2 12 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 G2-M phase DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel K562 G2-M OS\
subGroups view=SIGBO cellType=t1K562 treatment=G2MPHASE\
track wgEncodeOpenChromDnaseK562G2mphaseBaseOverlapSignal\
type bigWig 0.000000 319.000000\
wgEncodeUchicagoTfbsK562Enr4a1ControlSig K562 NR4A1/GFP Sg bigWig -2001.193604 1318.283081 K562 NR4A1 GFP-tag TFBS Signal from ENCODE/UChicago 2 12 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 NR4A1 GFP-tag TFBS Signal from ENCODE/UChicago\
parent wgEncodeUchicagoTfbsViewSignal\
shortLabel K562 NR4A1/GFP Sg\
subGroups view=Signal factor=NR4A1 cellType=K562 control=ControlNR4A1 rep=repPOOLED\
track wgEncodeUchicagoTfbsK562Enr4a1ControlSig\
type bigWig -2001.193604 1318.283081\
wgEncodeAffyRnaChipFiltTransfragsK562NucleusLongpolya K562 nucl pA+ broadPeak K562 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 12 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 nucl pA+\
subGroups view=FiltTransfrags cellType=t1K562 localization=dNUCLEUS rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsK562NucleusLongpolya\
type broadPeak\
wgEncodeUwRepliSeqK562S1PctSignalRep1 K562 S1 1 bigWig 1.000000 100.000000 K562 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 12 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 S1 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqK562S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseK562RawRep1 K562 Sg 1 bigWig 1.000000 66237.000000 K562 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 12 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw\
shortLabel K562 Sg 1\
subGroups view=zRSig cellType=t1K562 rep=rep1 treatment=None\
track wgEncodeUwDnaseK562RawRep1\
type bigWig 1.000000 66237.000000\
wgEncodeOpenChromFaireK562OhureaBaseOverlapSignal K562 urea FAIR OS bigWig 0.000000 1562.000000 K562 Hydroxyurea FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 12 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Hydroxyurea FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel K562 urea FAIR OS\
subGroups view=SIGBO cellType=t1K562 treatment=HYDROUREA\
track wgEncodeOpenChromFaireK562OhureaBaseOverlapSignal\
type bigWig 0.000000 1562.000000\
lincRNAsCTLiver Liver bed 5 + lincRNAs from liver 1 12 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from liver\
parent lincRNAsAllCellType on\
shortLabel Liver\
subGroups view=lincRNAsRefseqExp tissueType=liver\
track lincRNAsCTLiver\
phastCons46wayPlacental Mammal Cons wig 0 1 Placental Mammal Conservation by PhastCons 0 12 25 95 25 95 25 25 0 0 0 compGeno 0 altColor 95,25,25\
autoScale off\
color 25,95,25\
configurable on\
longLabel Placental Mammal Conservation by PhastCons\
maxHeightPixels 100:40:11\
noInherit on\
parent cons46wayViewphastcons on\
priority 12\
shortLabel Mammal Cons\
spanList 1\
subGroups view=phastcons clade=mammal\
track phastCons46wayPlacental\
type wig 0 1\
windowingFunction mean\
wgEncodeUwAffyExonArrayMcf7SimpleSignalRep1 MCF-7 1 broadPeak MCF-7 Exon array Signal Rep 1 from ENCODE/UW 0 12 0 0 0 127 127 127 0 0 0 expression 1 longLabel MCF-7 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel MCF-7 1\
subGroups cellType=t2MCF7 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayMcf7SimpleSignalRep1\
type broadPeak\
wgEncodeHaibGenotypeMcf7RegionsRep2 MCF-7 2 bed 9 + MCF-7 Copy number variants Replicate 2 from ENCODE/HAIB 0 12 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF-7 Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF-7 2\
subGroups cellType=t2MCF7 obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeMcf7RegionsRep2\
type bed 9 +\
wgEncodeSydhHistoneMcf7H3k27acUcdPk MCF-7 H3K27ac narrowPeak MCF-7 H3K27ac Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 12 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 H3K27ac Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel MCF-7 H3K27ac\
subGroups view=Peaks factor=H3K27AC cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k27acUcdPk\
type narrowPeak\
wgEncodeGisChiaPetMcf7CtcfSigRep2 MCF7 CTCF Sig 2 bigWig 1.000000 2958.000000 MCF-7 CTCF ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan 2 12 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 CTCF ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 CTCF Sig 2\
subGroups view=Signal factor=CTCF cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7CtcfSigRep2\
type bigWig 1.000000 2958.000000\
uMassBrainHistoneSignalS9NeuP68yrsF NeuN+ 68yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN+ D9) Gender-female Age-68 2 12 30 118 30 142 186 142 0 0 0 regulation 0 color 30,118,30\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D9) Gender-female Age-68\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 68yrs F\
subGroups view=Signal donor=j_9 cellType=norm sex=female age=c_old\
track uMassBrainHistoneSignalS9NeuP68yrsF\
type bigWig\
nexterarapidcapture_exome_targetedregions Nextera Rapid T bigBed 4 Illumina - Nextera Rapid Capture Exome Target Regions 0 12 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/nexterarapidcapture_exome_targetedregions.bb\
color 22,62,164\
longLabel Illumina - Nextera Rapid Capture Exome Target Regions\
parent exomeProbesets off\
shortLabel Nextera Rapid T\
track nexterarapidcapture_exome_targetedregions\
type bigBed 4\
polyASeqSitesMaqcUhr1Rev PolyA-Seq MaqcUhr1 bigWig 0.200000 18536.800781 Poly(A)-tail sequencing of MAQC UHR (replicate 1) from Merck (Rev strand) 2 12 0 0 0 127 127 127 0 0 0 rna 0 color 0,0,0\
longLabel Poly(A)-tail sequencing of MAQC UHR (replicate 1) from Merck (Rev strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq MaqcUhr1\
subGroups view=Signal tissType=MaqcUhr1 strand=rev\
track polyASeqSitesMaqcUhr1Rev\
type bigWig 0.200000 18536.800781\
unipRepeat Repeats bigBed 12 + UniProt Repeats 1 12 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipRepeat.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Repeats\
parent uniprot\
priority 12\
shortLabel Repeats\
track unipRepeat\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#family_and_domains" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility dense\
burgeRnaSeqGemMapperAlignLymphNode RNA-seq Lymph Node bed 12 Burge Lab RNA-seq 32mer Reads from Lymph Node 1 12 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from Lymph Node\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq Lymph Node\
subGroups view=Alignments tissueType=lymphNode\
track burgeRnaSeqGemMapperAlignLymphNode\
intronEst Spliced ESTs psl est Human ESTs That Have Been Spliced 0 12 0 0 0 127 127 127 1 0 0
Description
\
\
\
This track shows alignments between human expressed sequence tags\
(ESTs) in \
GenBank and the genome that show signs of splicing when\
aligned against the genome. ESTs are single-read sequences, typically about\
500 bases in length, that usually represent fragments of transcribed genes.\
\
\
\
To be considered spliced, an EST must show\
evidence of at least one canonical intron (i.e., the genomic\
sequence between EST alignment blocks must be at least 32 bases in\
length and have GT/AG ends). By requiring splicing, the level\
of contamination in the EST databases is drastically reduced\
at the expense of eliminating many genuine 3' ESTs.\
For a display of all ESTs (including unspliced), see the\
human EST track.\
\
\
Display Conventions and Configuration
\
\
\
This track follows the display conventions for\
\
PSL alignment tracks. In dense display mode, darker shading\
indicates a larger number of aligned ESTs.\
\
\
\
The strand information (+/-) indicates the\
direction of the match between the EST and the matching\
genomic sequence. It bears no relationship to the direction\
of transcription of the RNA with which it might be associated.\
\
\
\
The description page for this track has a filter that can be used to change\
the display mode, alter the color, and include/exclude a subset of items\
within the track. This may be helpful when many items are shown in the track\
display, especially when only some are relevant to the current task.\
\
\
\
To use the filter:\
\
Type a term in one or more of the text boxes to filter the EST\
display. For example, to apply the filter to all ESTs expressed in a specific\
organ, type the name of the organ in the tissue box. To view the list of\
valid terms for each text box, consult the table in the Table Browser that\
corresponds to the factor on which you wish to filter. For example, the\
"tissue" table contains all the types of tissues that can be\
entered into the tissue text box. Multiple terms may be entered at once,\
separated by a space. Wildcards may also be used in the filter.
\
If filtering on more than one value, choose the desired combination\
logic. If "and" is selected, only ESTs that match all filter\
criteria will be highlighted. If "or" is selected, ESTs that\
match any one of the filter criteria will be highlighted.
\
Choose the color or display characteristic that should be used to\
highlight or include/exclude the filtered items. If "exclude" is\
chosen, the browser will not display ESTs that match the filter criteria.\
If "include" is selected, the browser will display only those\
ESTs that match the filter criteria.
\
\
\
\
\
This track may also be configured to display base labeling, a feature that\
allows the user to display all bases in the aligning sequence or only those\
that differ from the genomic sequence. For more information about this option,\
go to the\
\
Base Coloring for Alignment Tracks page.\
Several types of alignment gap may also be colored;\
for more information, go to the\
\
Alignment Insertion/Deletion Display Options page.\
\
\
Methods
\
\
\
To make an EST, RNA is isolated from cells and reverse\
transcribed into cDNA. Typically, the cDNA is cloned\
into a plasmid vector and a read is taken from the 5'\
and/or 3' primer. For most — but not all — ESTs, the\
reverse transcription is primed by an oligo-dT, which\
hybridizes with the poly-A tail of mature mRNA. The\
reverse transcriptase may or may not make it to the 5'\
end of the mRNA, which may or may not be degraded.\
\
\
\
In general, the 3' ESTs mark the end of transcription\
reasonably well, but the 5' ESTs may end at any point\
within the transcript. Some of the newer cap-selected\
libraries cover transcription start reasonably well. Before the\
cap-selection techniques\
emerged, some projects used random rather than poly-A\
priming in an attempt to retrieve sequence distant from the\
3' end. These projects were successful at this, but as\
a side effect also deposited sequences from unprocessed\
mRNA and perhaps even genomic sequences into the EST databases.\
Even outside of the random-primed projects, there is a\
degree of non-mRNA contamination. Because of this, a\
single unspliced EST should be viewed with considerable\
skepticism.\
\
\
\
To generate this track, human ESTs from GenBank were aligned\
against the genome using blat. Note that the maximum intron length\
allowed by blat is 750,000 bases, which may eliminate some ESTs with very\
long introns that might otherwise align. When a single\
EST aligned in multiple places, the alignment having the\
highest base identity was identified. Only alignments having\
a base identity level within 0.5% of the best and at least 96% base identity\
with the genomic sequence are displayed in this track.\
\
\
Credits
\
\
\
This track was produced at UCSC from EST sequence data\
submitted to the international public sequence databases by\
scientists worldwide.\
\
\
References
\
\
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW.\
\
GenBank.\
Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42.\
PMID: 23193287; PMC: PMC3531190\
\
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
rna 1 baseColorUseSequence genbank\
group rna\
indelDoubleInsert on\
indelQueryInsert on\
intronGap 30\
longLabel Human ESTs That Have Been Spliced\
maxItems 300\
priority 12\
shortLabel Spliced ESTs\
showDiffBasesAllScales .\
spectrum on\
track intronEst\
type psl est\
visibility hide\
chainTaeGut2 Zebra finch Chain chain taeGut2 Zebra finch (Feb. 2013 (WashU taeGut324/taeGut2)) Chained Alignments 3 13 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Zebra finch (Feb. 2013 (WashU taeGut324/taeGut2)) Chained Alignments\
otherDb taeGut2\
parent vertebrateChainNetViewchain off\
shortLabel Zebra finch Chain\
subGroups view=chain species=s023 clade=c01\
track chainTaeGut2\
type chain taeGut2\
chainCalJac3 Marmoset Chain chain calJac3 Marmoset (March 2009 (WUGSC 3.2/calJac3)) Chained Alignments 3 13 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Marmoset (March 2009 (WUGSC 3.2/calJac3)) Chained Alignments\
otherDb calJac3\
parent primateChainNetViewchain off\
shortLabel Marmoset Chain\
subGroups view=chain species=s034b clade=c02\
track chainCalJac3\
type chain calJac3\
chainAilMel1 Panda Chain chain ailMel1 Panda (Dec. 2009 (BGI-Shenzhen 1.0/ailMel1)) Chained Alignments 3 13 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Panda (Dec. 2009 (BGI-Shenzhen 1.0/ailMel1)) Chained Alignments\
otherDb ailMel1\
parent placentalChainNetViewchain off\
shortLabel Panda Chain\
subGroups view=chain species=s033 clade=c01\
track chainAilMel1\
type chain ailMel1\
phastCons100way 100 Vert. Cons wig 0 1 100 vertebrates conservation by PhastCons 0 13 70 130 70 130 70 70 0 0 0 compGeno 0 altColor 130,70,70\
autoScale off\
color 70,130,70\
configurable on\
longLabel 100 vertebrates conservation by PhastCons\
maxHeightPixels 100:40:11\
noInherit on\
parent cons100wayViewphastcons off\
priority 13\
shortLabel 100 Vert. Cons\
spanList 1\
subGroups view=phastcons clade=all\
track phastCons100way\
type wig 0 1\
windowingFunction mean\
wgEncodeHaibRnaSeqA549Dex500pmRawRep1 A549 DEX500pM 1 bigWig 0.117905 1144.349976 A549 DEX 1 hr 500 pM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 13 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 500 pM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal on\
shortLabel A549 DEX500pM 1\
subGroups view=RawSignal cellType=t2A549 treatment=DEX500PM rep=rep1\
track wgEncodeHaibRnaSeqA549Dex500pmRawRep1\
type bigWig 0.117905 1144.349976\
encTfChipPkENCFF533NIV A549 ELF1 narrowPeak Transcription Factor ChIP-seq Peaks of ELF1 in A549 from ENCODE 3 (ENCFF533NIV) 1 13 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ELF1 in A549 from ENCODE 3 (ENCFF533NIV)\
parent encTfChipPk off\
shortLabel A549 ELF1\
subGroups cellType=A549 factor=ELF1\
track encTfChipPkENCFF533NIV\
pgAbtIllum ABTutu Illum pgSnp ABTutu Genome Variants, Illumina 7.2X 3 13 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ABTutu Genome Variants, Illumina 7.2X\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel ABTutu Illum\
subGroups view=A_PSU id=AE_ABTutu type=SNP\
track pgAbtIllum\
agilentCgh4x180k Ag CGH 4x180k bed 4 . Agilent SurePrint G3 Human CGH Microarray 4x180K AMADID 022060 0 13 255 128 0 255 191 127 0 0 0 varRep 1 color 255,128,0\
longLabel Agilent SurePrint G3 Human CGH Microarray 4x180K AMADID 022060\
parent genotypeArrays\
priority 13\
shortLabel Ag CGH 4x180k\
track agilentCgh4x180k\
type bed 4 .\
wgEncodeHaibGenotypeAg04449RegionsRep1 AG04449 1 bed 9 + AG04449 Copy number variants Replicate 1 from ENCODE/HAIB 0 13 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AG04449 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AG04449 1\
subGroups cellType=t3AG04449 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeAg04449RegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450Ag09309SitesRep1 AG09309 bed 9 AG09309 Methylation 450K Bead Array from ENCODE/HAIB 1 13 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AG09309\
subGroups cellType=t3AG09309 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ag09309SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwAg09309UniPk AG09309 DNase narrowPeak AG09309 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 13 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AG09309 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AG09309 DNase\
subGroups tier=a30 cellType=AG09309\
track wgEncodeAwgDnaseUwAg09309UniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_ctss_fwd AorticSmsToFgf2_00hr30minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_forward 0 13 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep2%20%28LK8%29.CNhs13360.12742-135I6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12742-135I6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_tpm_fwd AorticSmsToFgf2_00hr30minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_forward 1 13 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep2%20%28LK8%29.CNhs13360.12742-135I6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12742-135I6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainHippocampus brainHippocampus bed 9 + Expression QTL in Brain_Hippocampus from GTEx V6 0 13 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainHippocampus where name='%s'\
longLabel Expression QTL in Brain_Hippocampus from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainHippocampus\
track gtexEqtlTissueBrainHippocampus\
dhcHumDerDenAncCcdsSpliceHighFreq CC Splice HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Splice 3 13 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Splice\
parent dhcHumDerDenAncCcds\
shortLabel CC Splice HiF\
subGroups view=Ccds subset=CcdsSplice freq=HighFreq\
track dhcHumDerDenAncCcdsSpliceHighFreq\
filterConflicting GIAB genotype conflict bigBed 3 NIST Genome-in-a-bottle: calls with unresolved conflicting genotypes after arbitration 1 13 0 0 0 127 127 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/bbi/problematic/filterConflicting.bb\
longLabel NIST Genome-in-a-bottle: calls with unresolved conflicting genotypes after arbitration\
parent problematic\
priority 13\
shortLabel GIAB genotype conflict\
track filterConflicting\
type bigBed 3\
visibility dense\
wgEncodeAwgTfbsSydhGm12878Ctcfsc15914c20UniPk GM12878 CTCF s narrowPeak GM12878 TFBS Uniform Peaks of CTCF_(SC-15914) from ENCODE/Stanford/Analysis 1 13 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CTCF_(SC-15914) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 CTCF s\
subGroups tier=a10 cellType=a10GM12878 factor=CTCF lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Ctcfsc15914c20UniPk\
wgEncodeBroadHistoneGm12878H3k9acStdPk GM12878 H3K9ac broadPeak GM12878 H3K9ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 13 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K9ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K9ac\
subGroups view=Peaks factor=H3K09AC cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k9acStdPk\
type broadPeak\
wgEncodeSunyRipSeqGm12878T7tagSigRep1 GM12878 T7Tag 1 bigWig 0.000000 67823.984375 GM12878 T7Tag RIP-seq Signal Rep 1 from ENCODE/SUNY 2 13 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 T7Tag RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 T7Tag 1\
subGroups view=Signal factor=T7Tag cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878T7tagSigRep1\
type bigWig 0.000000 67823.984375\
wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UMinusRawRep2V4 GM78 1x75D - 2 bigWig -54762.832031 -0.025000 GM12878 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 13 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal\
shortLabel GM78 1x75D - 2\
subGroups view=MinusSignal cellType=t1GM12878 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UMinusRawRep2V4\
type bigWig -54762.832031 -0.025000\
wgEncodeHaibTfbsGm12878Bcl11aPcr1xPkRep1 GM78 BCL PCR1 1 broadPeak GM12878 BCL11A PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 13 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCL11A PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCL PCR1 1\
subGroups view=Peaks factor=BCL11A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bcl11aPcr1xPkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CellPapMinusRawSigRep1 GM78 cel pA+ - 1 bigWig 1.000000 216835.000000 GM12878 whole cell polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 13 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig on\
shortLabel GM78 cel pA+ - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellPapMinusRawSigRep1\
type bigWig 1.000000 216835.000000\
wgEncodeSydhTfbsGm12878Corestsc30189IggmusPk GM78 COREST IgM narrowPeak GM12878 COREST SC30189 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 13 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 COREST SC30189 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 COREST IgM\
subGroups view=Peaks factor=CORESTSC30189 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Corestsc30189IggmusPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapMinusRawRep2 GM78 cyto TAP - 2 bigWig 1.000000 4319529.000000 GM12878 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 13 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 cyto TAP - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapMinusRawRep2\
type bigWig 1.000000 4319529.000000\
wgEncodeUwHistoneGm12878H3k36me3StdHotspotsRep1 GM78 H3K36M3 Ht 1 broadPeak GM12878 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 13 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K36M3 Ht 1\
subGroups view=Hot factor=H3K36ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdHotspotsRep1\
type broadPeak\
wgEncodeRikenCageGm12878NucleolusTotalPlusSignal GM78 nlus tot + 1 bigWig 0.040000 4464.319824 GM12878 nucleolus total CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 13 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 nlus tot + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=nucleolus rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878NucleolusTotalPlusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipH1hescCmycBaseOverlapSignal H1-hESC cMyc OS bigWig 0.000000 626.000000 H1-hESC cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 13 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel H1-hESC cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCmycBaseOverlapSignal\
type bigWig 0.000000 626.000000\
hapMapRelease24CombinedRecombMap HapMap bigWig -1.0 91.6 HapMap Release 24 combined recombination map 0 13 50 50 50 152 152 152 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 50,50,50\
configurable on\
longLabel HapMap Release 24 combined recombination map\
parent otherMaps\
priority 13\
shortLabel HapMap\
subGroups view=other\
track hapMapRelease24CombinedRecombMap\
type bigWig -1.0 91.6\
wgEncodeAwgSegmentationChromhmmHepg2 HepG2 ChromHMM bed 9 . HepG2 Genome Segmentation by ChromHMM from ENCODE/Analysis 0 13 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HepG2 ChromHMM\
subGroups tier=t2 cellType=t2HEPG2 method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmHepg2\
type bed 9 .\
wgEncodeUwDgfHepg2Hotspots HepG2 Hot broadPeak HepG2 DNaseI DGF Hotspots from ENCODE/UW 0 13 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots on\
shortLabel HepG2 Hot\
subGroups view=Hotspots cellType=t2HEPG2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfHepg2Hotspots\
type broadPeak\
wgEncodeOpenChromSynthHtr8Pk HTR8svn Syn Pk bed 9 + HTR8svn DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 13 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HTR8svn DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel HTR8svn Syn Pk\
subGroups cellType=t3HTR8SVN treatment=aNone\
track wgEncodeOpenChromSynthHtr8Pk\
type bed 9 +\
wgEncodeHaibMethylRrbsImr90UwSitesRep1 IMR90 1 bed 9 + IMR90 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 13 0 0 0 127 127 127 0 0 0 regulation 1 longLabel IMR90 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel IMR90 1\
subGroups cellType=t2IMR90 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsImr90UwSitesRep1\
type bed 9 +\
wgEncodeFsuRepliChipIpshfib2ips4WaveSignalRep1 iPS_hFib2_iPS4 1 bigWig -3.052505 2.113655 iPS hFib2 iPS4 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 13 0 0 0 127 127 127 0 0 0 regulation 0 longLabel iPS hFib2 iPS4 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel iPS_hFib2_iPS4 1\
subGroups view=WaveSignal cellType=t3IPSHFIB2IPS4 rep=rep1\
track wgEncodeFsuRepliChipIpshfib2ips4WaveSignalRep1\
type bigWig -3.052505 2.113655\
wgEncodeDukeAffyExonK562SimpleSignalRep2V2 K562 2 bigBed 6 + K562 Exon array Signal Rep 2 from ENCODE/Duke 0 13 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon\
shortLabel K562 2\
subGroups cellType=t1K562 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonK562SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeGisRnaPetK562ChromatinTotalClustersRep1 K562 chrm tot 1 bed 6 + K562 chromatin total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 13 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 chromatin total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 chrm tot 1\
subGroups view=v1Clusters cellType=aK562 cloned=Based localization=chromatin rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562ChromatinTotalClustersRep1\
type bed 6 +\
wgEncodeUwTfbsK562CtcfStdRawRep2 K562 CTCF Sg 2 bigWig 1.000000 8080.000000 K562 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 13 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel K562 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t1K562 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsK562CtcfStdRawRep2\
type bigWig 1.000000 8080.000000\
wgEncodeUwDnaseK562HotspotsRep2 K562 Ht 2 broadPeak K562 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 13 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot\
shortLabel K562 Ht 2\
subGroups view=Hot cellType=t1K562 rep=rep2 treatment=None\
track wgEncodeUwDnaseK562HotspotsRep2\
type broadPeak\
wgEncodeOpenChromFaireK562NabutPk K562 NaBu FAIR Pk narrowPeak K562 Sodium Butyrate FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 13 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Sodium Butyrate FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel K562 NaBu FAIR Pk\
subGroups view=Peaks cellType=t1K562 treatment=NaBut\
track wgEncodeOpenChromFaireK562NabutPk\
type narrowPeak\
wgEncodeOpenChromDnaseK562NabutPk K562 NaBut Pk narrowPeak K562 NaBut DNaseI HS Peaks from ENCODE/Duke 3 13 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 NaBut DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel K562 NaBut Pk\
subGroups view=Peaks cellType=t1K562 treatment=NABUT\
track wgEncodeOpenChromDnaseK562NabutPk\
type narrowPeak\
wgEncodeAffyRnaChipFiltTransfragsK562NucleoplasmTotal K562 nplm tot broadPeak K562 nucleoplasm total Microarray Transfrags from ENCODE Affy/CSHL 3 13 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleoplasm total Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 nplm tot\
subGroups view=FiltTransfrags cellType=t1K562 localization=eNUCLEOPLASM rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsK562NucleoplasmTotal\
type broadPeak\
wgEncodeSunyAlbanyGeneStK562Pabpc1RbpAssocRnaV2 K562 PABPC1 broadPeak K562 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 13 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel K562 PABPC1\
subGroups cellType=t1K562 factor=PABPC1\
track wgEncodeSunyAlbanyGeneStK562Pabpc1RbpAssocRnaV2\
type broadPeak\
wgEncodeUwRepliSeqK562S2PctSignalRep1 K562 S2 1 bigWig 1.000000 100.000000 K562 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 13 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 S2 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqK562S2PctSignalRep1\
type bigWig 1.000000 100.000000\
lincRNAsCTLung Lung bed 5 + lincRNAs from lung 1 13 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from lung\
parent lincRNAsAllCellType on\
shortLabel Lung\
subGroups view=lincRNAsRefseqExp tissueType=lung\
track lincRNAsCTLung\
wgEncodeUwAffyExonArrayMcf7SimpleSignalRep2 MCF-7 2 broadPeak MCF-7 Exon array Signal Rep 2 from ENCODE/UW 0 13 0 0 0 127 127 127 0 0 0 expression 1 longLabel MCF-7 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel MCF-7 2\
subGroups cellType=t2MCF7 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayMcf7SimpleSignalRep2\
type broadPeak\
wgEncodeSydhHistoneMcf7H3k27acUcdSig MCF-7 H3K27ac bigWig 1.000000 9587.000000 MCF-7 H3K27ac Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 13 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 H3K27ac Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel MCF-7 H3K27ac\
subGroups view=Signal factor=H3K27AC cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k27acUcdSig\
type bigWig 1.000000 9587.000000\
wgEncodeGisChiaPetMcf7EraaInteractionsRep1 MCF7 ERa Int 1 bed 12 MCF-7 ERalpha a ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 13 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 ERalpha a ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 ERa Int 1\
subGroups view=Interactions factor=ERAA cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7EraaInteractionsRep1\
type bed 12\
uMassBrainHistoneSignalS10NeuP69yrsF NeuN+ 69yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN+ D10) Gender-female Age-69 2 13 30 118 30 142 186 142 0 0 0 regulation 0 color 30,118,30\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D10) Gender-female Age-69\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 69yrs F\
subGroups view=Signal donor=k_10 cellType=norm sex=female age=c_old\
track uMassBrainHistoneSignalS10NeuP69yrsF\
type bigWig\
nexterarapidcapture_exome_targetedregions_v1 Nextera Rapid V1.2 T bigBed 4 Illumina - Nextera Rapid Capture Exome V1.2 Target Regions 0 13 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/nexterarapidcapture_exome_targetedregions_v1.2.bb\
color 22,62,164\
longLabel Illumina - Nextera Rapid Capture Exome V1.2 Target Regions\
parent exomeProbesets off\
shortLabel Nextera Rapid V1.2 T\
track nexterarapidcapture_exome_targetedregions_v1\
type bigBed 4\
polyASeqSitesMaqcUhr2Fwd PolyA-Seq MaqcUhr2 bigWig 0.200000 25301.960938 Poly(A)-tail sequencing of MAQC UHR (replicate 2) from Merck (Fwd strand) 2 13 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of MAQC UHR (replicate 2) from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq MaqcUhr2\
subGroups view=Signal tissType=MaqcUhr2 strand=fwd\
track polyASeqSitesMaqcUhr2Fwd\
type bigWig 0.200000 25301.960938\
burgeRnaSeqGemMapperAlignSkelMuscle RNA-seq Muscle bed 12 Burge Lab RNA-seq 32mer Reads from Skeletal Muscle 1 13 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from Skeletal Muscle\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq Muscle\
subGroups view=Alignments tissueType=skelMuscle\
track burgeRnaSeqGemMapperAlignSkelMuscle\
unipConflict Seq. Conflicts bigBed 12 + UniProt Sequence Conflicts 1 13 0 0 0 127 127 127 0 0 0 genes 1 bigDataUrl /gbdb/hg19/uniprot/unipConflict.bb\
filterValues.status Manually reviewed (Swiss-Prot),Unreviewed (TrEMBL)\
longLabel UniProt Sequence Conflicts\
parent uniprot off\
priority 13\
shortLabel Seq. Conflicts\
track unipConflict\
type bigBed 12 +\
urls uniProtId="http://www.uniprot.org/uniprot/$$#Sequence_conflict_section" pmids="https://www.ncbi.nlm.nih.gov/pubmed/$$"\
visibility dense\
uniGene_3 UniGene psl UniGene Alignments 0 13 0 0 0 127 127 127 1 0 0 https://www.ncbi.nlm.nih.gov/UniGene/clust.cgi?ORG=Hs&CID=
Description
\
\
\
This track shows the UniGene genes from NCBI. Each UniGene entry is a set of transcript sequences\
that appear to come from the same transcription locus (gene or expressed pseudogene), together with\
information on protein similarities, gene expression, cDNA clone reagents, and genomic location.\
\
\
\
Coding exons are represented by blocks connected by horizontal lines representing introns. In full\
display mode, arrowheads on the connecting intron lines indicate the direction of transcription.\
\
\
Methods
\
\
\
The UniGene sequence file, Hs.seq.uniq.gz, is downloaded from NCBI. Sequences are aligned to base\
genome using BLAT to create this track.\
\
\
\
When a single UniGene gene aligned in multiple places, the alignment having the highest base\
identity was found. Only alignments having a base identity level within 0.2% of the best and\
at least 96.5% base identity with the genomic sequence were kept.\
\
\
Credits
\
\
\
Thanks to UniGene\
for providing this annotation.\
\
rna 1 group rna\
longLabel UniGene Alignments\
priority 13\
shortLabel UniGene\
spectrum on\
track uniGene_3\
type psl\
url https://www.ncbi.nlm.nih.gov/UniGene/clust.cgi?ORG=Hs&CID=\
visibility hide\
phastCons46way Vertebrate Cons wig 0 1 Vertebrate Conservation by PhastCons 0 13 40 120 40 120 40 40 0 0 0 compGeno 0 altColor 120,40,40\
autoScale off\
color 40,120,40\
configurable on\
longLabel Vertebrate Conservation by PhastCons\
maxHeightPixels 100:40:11\
noInherit on\
parent cons46wayViewphastcons off\
priority 13\
shortLabel Vertebrate Cons\
spanList 1\
subGroups view=phastcons clade=vert\
track phastCons46way\
type wig 0 1\
windowingFunction mean\
netTaeGut2 Zebra finch Net netAlign taeGut2 chainTaeGut2 Zebra finch (Feb. 2013 (WashU taeGut324/taeGut2)) Alignment Net 1 14 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Zebra finch (Feb. 2013 (WashU taeGut324/taeGut2)) Alignment Net\
otherDb taeGut2\
parent vertebrateChainNetViewnet on\
shortLabel Zebra finch Net\
subGroups view=net species=s023 clade=c01\
track netTaeGut2\
type netAlign taeGut2 chainTaeGut2\
netCalJac3 Marmoset Net netAlign calJac3 chainCalJac3 Marmoset (March 2009 (WUGSC 3.2/calJac3)) Alignment Net 1 14 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Marmoset (March 2009 (WUGSC 3.2/calJac3)) Alignment Net\
otherDb calJac3\
parent primateChainNetViewnet on\
shortLabel Marmoset Net\
subGroups view=net species=s034b clade=c02\
track netCalJac3\
type netAlign calJac3 chainCalJac3\
netAilMel1 Panda Net netAlign ailMel1 chainAilMel1 Panda (Dec. 2009 (BGI-Shenzhen 1.0/ailMel1)) Alignment Net 1 14 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Panda (Dec. 2009 (BGI-Shenzhen 1.0/ailMel1)) Alignment Net\
otherDb ailMel1\
parent placentalChainNetViewnet off\
shortLabel Panda Net\
subGroups view=net species=s033 clade=c01\
track netAilMel1\
type netAlign ailMel1 chainAilMel1\
wgEncodeHaibRnaSeqA549Dex500pmAlnRep1 A549 DEX500pM 1 bam A549 DEX 1 hr 500 pM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 14 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 500 pM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX500pM 1\
subGroups view=Alignments cellType=t2A549 treatment=DEX500PM rep=rep1\
track wgEncodeHaibRnaSeqA549Dex500pmAlnRep1\
type bam\
encTfChipPkENCFF282AEY A549 ELK1 narrowPeak Transcription Factor ChIP-seq Peaks of ELK1 in A549 from ENCODE 3 (ENCFF282AEY) 1 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ELK1 in A549 from ENCODE 3 (ENCFF282AEY)\
parent encTfChipPk off\
shortLabel A549 ELK1\
subGroups cellType=A549 factor=ELK1\
track encTfChipPkENCFF282AEY\
pgAbt454indels ABTutu exome indels pgSnp ABTutu Genome Variants, 454 exome indels 3 14 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ABTutu Genome Variants, 454 exome indels\
origAssembly hg18\
parent pgSnpPSU\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel ABTutu exome indels\
subGroups view=A_PSU id=AE_ABTutu type=Indel\
track pgAbt454indels\
agilentCgh8x60k Ag CGH 8x60k bed 4 . Agilent SurePrint G3 Human CGH Microarray 8x60K AMADID 021924 0 14 0 128 0 127 191 127 0 0 0 varRep 1 color 0,128,0\
longLabel Agilent SurePrint G3 Human CGH Microarray 8x60K AMADID 021924\
parent genotypeArrays\
priority 14\
shortLabel Ag CGH 8x60k\
track agilentCgh8x60k\
type bed 4 .\
wgEncodeUwAffyExonArrayAg04449SimpleSignalRep1 AG04449 1 broadPeak AG04449 Exon array Signal Rep 1 from ENCODE/UW 0 14 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG04449 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG04449 1\
subGroups cellType=t3AG04449 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAg04449SimpleSignalRep1\
type broadPeak\
wgEncodeHaibGenotypeAg04450RegionsRep2 AG04450 1 bed 9 + AG04450 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 14 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AG04450 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AG04450 1\
subGroups cellType=t3AG04450 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeAg04450RegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450Ag09319SitesRep1 AG09319 bed 9 AG09319 Methylation 450K Bead Array from ENCODE/HAIB 1 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AG09319\
subGroups cellType=t3AG09319 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ag09319SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwAg09319UniPk AG09319 DNase narrowPeak AG09319 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 14 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AG09319 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AG09319 DNase\
subGroups tier=a30 cellType=AG09319\
track wgEncodeAwgDnaseUwAg09319UniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_ctss_rev AorticSmsToFgf2_00hr30minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_reverse 0 14 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep2%20%28LK8%29.CNhs13360.12742-135I6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12742-135I6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_tpm_rev AorticSmsToFgf2_00hr30minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_reverse 1 14 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep2%20%28LK8%29.CNhs13360.12742-135I6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep2 (LK8)_CNhs13360_12742-135I6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12742-135I6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep2LK8_CNhs13360_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12742-135I6\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainHypothalamus brainHypothalamus bed 9 + Expression QTL in Brain_Hypothalamus from GTEx V6 0 14 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainHypothalamus where name='%s'\
longLabel Expression QTL in Brain_Hypothalamus from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainHypothalamus\
track gtexEqtlTissueBrainHypothalamus\
dhcHumDerDenAncCcdsUtr3Fixed CC Utr3 Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS 3' UTR 3 14 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS 3' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr3 Fxd\
subGroups view=Ccds subset=CcdsUtr3 freq=Fixed\
track dhcHumDerDenAncCcdsUtr3Fixed\
wgEncodeAwgTfbsUtaGm12878CtcfUniPk GM12878 CTCF t narrowPeak GM12878 TFBS Uniform Peaks of CTCF from ENCODE/UT-A/Analysis 1 14 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CTCF from ENCODE/UT-A/Analysis\
parent wgEncodeAwgTfbsUniform on\
shortLabel GM12878 CTCF t\
subGroups tier=a10 cellType=a10GM12878 factor=CTCF lab=UT-A\
track wgEncodeAwgTfbsUtaGm12878CtcfUniPk\
wgEncodeBroadHistoneGm12878H3k9acStdSig GM12878 H3K9ac bigWig 0.040000 6293.839844 GM12878 H3K9ac Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 14 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K9ac Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K9ac\
subGroups view=Signal factor=H3K09AC cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k9acStdSig\
type bigWig 0.040000 6293.839844\
wgEncodeSunyRipSeqGm12878T7tagSigRep2 GM12878 T7Tag 2 bigWig 0.000000 100213.273438 GM12878 T7Tag RIP-seq Signal Rep 2 from ENCODE/SUNY 2 14 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 T7Tag RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 T7Tag 2\
subGroups view=Signal factor=T7Tag cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878T7tagSigRep2\
type bigWig 0.000000 100213.273438\
wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UPlusRawRep1V4 GM78 1x75D + 1 bigWig 0.020000 69070.617188 GM12878 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 14 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal\
shortLabel GM78 1x75D + 1\
subGroups view=PlusSignal cellType=t1GM12878 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UPlusRawRep1V4\
type bigWig 0.020000 69070.617188\
wgEncodeHaibTfbsGm12878Bcl11aPcr1xRawRep1 GM78 BCL11A 1 bigWig 0.181856 137.847000 GM12878 BCL11A PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 14 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCL11A PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCL11A 1\
subGroups view=RawSignal factor=BCL11A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bcl11aPcr1xRawRep1\
type bigWig 0.181856 137.847000\
wgEncodeCshlLongRnaSeqGm12878CellPapMinusRawSigRep2 GM78 cel pA+ - 2 bigWig 1.000000 309358.000000 GM12878 whole cell polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 14 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig on\
shortLabel GM78 cel pA+ - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellPapMinusRawSigRep2\
type bigWig 1.000000 309358.000000\
wgEncodeSydhTfbsGm12878Corestsc30189IggmusSig GM78 COREST IgM bigWig 1.000000 9205.000000 GM12878 COREST SC30189 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 14 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 COREST SC30189 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 COREST IgM\
subGroups view=Signal factor=CORESTSC30189 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Corestsc30189IggmusSig\
type bigWig 1.000000 9205.000000\
wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapPlusRawRep1 GM78 cyto TAP + 1 bigWig 1.000000 1613718.000000 GM12878 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 14 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 cyto TAP + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapPlusRawRep1\
type bigWig 1.000000 1613718.000000\
wgEncodeUwHistoneGm12878H3k36me3StdPkRep1 GM78 H3K36M3 Pk 1 narrowPeak GM12878 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 14 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K36M3 Pk 1\
subGroups view=Peaks factor=H3K36ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdPkRep1\
type narrowPeak\
wgEncodeRikenCageGm12878NucleolusTotalMinusSignal GM78 nlus tot - 1 bigWig 0.040000 4464.319824 GM12878 nucleolus total CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 14 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 nlus tot - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=nucleolus rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878NucleolusTotalMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipH1hescCtcfPk H1-hESC CTCF Pk narrowPeak H1-hESC CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 14 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel H1-hESC CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCtcfPk\
type narrowPeak\
hapMapRelease24CEURecombMap HapMap CEU bigWig 0.0 111.0 HapMap Release 24 CEU recombination map 0 14 80 80 80 167 167 167 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 80,80,80\
configurable on\
longLabel HapMap Release 24 CEU recombination map\
parent otherMaps\
priority 14\
shortLabel HapMap CEU\
subGroups view=other\
track hapMapRelease24CEURecombMap\
type bigWig 0.0 111.0\
wgEncodeAwgSegmentationCombinedHepg2 HepG2 Combined bed 9 . HepG2 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HepG2 Combined\
subGroups tier=t2 cellType=t2HEPG2 method=Combined\
track wgEncodeAwgSegmentationCombinedHepg2\
type bed 9 .\
wgEncodeUwDgfHepg2Pk HepG2 Pk narrowPeak HepG2 DNaseI DGF Peaks from ENCODE/UW 0 14 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks on\
shortLabel HepG2 Pk\
subGroups view=Peaks cellType=t2HEPG2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfHepg2Pk\
type narrowPeak\
wgEncodeHaibMethylRrbsImr90UwSitesRep2 IMR90 2 bed 9 + IMR90 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel IMR90 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel IMR90 2\
subGroups cellType=t2IMR90 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsImr90UwSitesRep2\
type bed 9 +\
wgEncodeFsuRepliChipIpshfib2ips4WaveSignalRep2 iPS_hFib2_iPS4 2 bigWig -2.065338 2.065192 iPS hFib2 iPS4 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 14 0 0 0 127 127 127 0 0 0 regulation 0 longLabel iPS hFib2 iPS4 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel iPS_hFib2_iPS4 2\
subGroups view=WaveSignal cellType=t3IPSHFIB2IPS4 rep=rep2\
track wgEncodeFsuRepliChipIpshfib2ips4WaveSignalRep2\
type bigWig -2.065338 2.065192\
wgEncodeDukeAffyExonK562SimpleSignalRep3V2 K562 3 bigBed 6 + K562 Exon array Signal Rep 3 from ENCODE/Duke 0 14 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 3\
subGroups cellType=t1K562 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonK562SimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeAffyRnaChipFiltTransfragsK562ChromatinTotal K562 chrm tot broadPeak K562 chromatin total Microarray Transfrags from ENCODE Affy/CSHL 3 14 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 chromatin total Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 chrm tot\
subGroups view=FiltTransfrags cellType=t1K562 localization=fCHROMATIN rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsK562ChromatinTotal\
type broadPeak\
wgEncodeGisRnaPetK562ChromatinTotalMinusRawSigRep1 K562 chrm tot - 1 bigWig 1.000000 331367.000000 K562 chromatin total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 14 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 chromatin total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 chrm tot - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Based localization=chromatin rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562ChromatinTotalMinusRawSigRep1\
type bigWig 1.000000 331367.000000\
wgEncodeUwTfbsK562InputStdRawRep1 K562 In Sg 1 bigWig 1.000000 13124.000000 K562 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 14 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig on\
shortLabel K562 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t1K562 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsK562InputStdRawRep1\
type bigWig 1.000000 13124.000000\
wgEncodeOpenChromFaireK562NabutSig K562 NaBu FAIR DS bigWig 0.000000 0.145600 K562 Na Butyrate FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 14 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Na Butyrate FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel K562 NaBu FAIR DS\
subGroups view=SIG cellType=t1K562 treatment=NaBut\
track wgEncodeOpenChromFaireK562NabutSig\
type bigWig 0.000000 0.145600\
wgEncodeOpenChromDnaseK562NabutSig K562 NaBut DS bigWig 0.000000 1.365700 K562 NaBut DNaseI HS Density Signal from ENCODE/Duke 2 14 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 NaBut DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel K562 NaBut DS\
subGroups view=SIG cellType=t1K562 treatment=NABUT\
track wgEncodeOpenChromDnaseK562NabutSig\
type bigWig 0.000000 1.365700\
wgEncodeUwDnaseK562PkRep2 K562 Pk 2 narrowPeak K562 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 14 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks\
shortLabel K562 Pk 2\
subGroups view=Peaks cellType=t1K562 rep=rep2 treatment=None\
track wgEncodeUwDnaseK562PkRep2\
type narrowPeak\
wgEncodeUwRepliSeqK562S3PctSignalRep1 K562 S3 1 bigWig 1.000000 100.000000 K562 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 14 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 S3 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqK562S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStK562SlbpRbpAssocRnaV2 K562 SLBP broadPeak K562 SLBP RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 14 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 SLBP RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt\
shortLabel K562 SLBP\
subGroups cellType=t1K562 factor=SLBP\
track wgEncodeSunyAlbanyGeneStK562SlbpRbpAssocRnaV2\
type broadPeak\
lincRNAsCTLymphNode LymphNode bed 5 + lincRNAs from lymphnode 1 14 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from lymphnode\
parent lincRNAsAllCellType on\
shortLabel LymphNode\
subGroups view=lincRNAsRefseqExp tissueType=lymphnode\
track lincRNAsCTLymphNode\
wgEncodeSydhHistoneMcf7H3k27me3bUcdPk MCF-7 H3K27me3 narrowPeak MCF-7 H3K27me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 H3K27me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel MCF-7 H3K27me3\
subGroups view=Peaks factor=H3K27me3B cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k27me3bUcdPk\
type narrowPeak\
wgEncodeGisChiaPetMcf7EraaSigRep1 MCF7 ERa Sig 1 bigWig 1.000000 973.000000 MCF-7 ERalpha a ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 14 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 ERalpha a ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 ERa Sig 1\
subGroups view=Signal factor=ERAA cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7EraaSigRep1\
type bigWig 1.000000 973.000000\
wgEncodeOpenChromSynthMedulloPk Medullo Syn Pk bed 9 + Medullo DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 14 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Medullo DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel Medullo Syn Pk\
subGroups cellType=t3MEDULLO treatment=aNone\
track wgEncodeOpenChromSynthMedulloPk\
type bed 9 +\
uMassBrainHistoneSignalS11NeuP69yrsF NeuN+ 69yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN+ D11) Gender-female Age-69 2 14 30 118 30 142 186 142 0 0 0 regulation 0 color 30,118,30\
longLabel UMMS Brain Histone H3K4me3 (NeuN+ D11) Gender-female Age-69\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN+ 69yrs F\
subGroups view=Signal donor=l_11 cellType=norm sex=female age=c_old\
track uMassBrainHistoneSignalS11NeuP69yrsF\
type bigWig\
polyASeqSitesMaqcUhr2Rev PolyA-Seq MaqcUhr2 bigWig 0.200000 16088.179688 Poly(A)-tail sequencing of MAQC UHR (replicate 2) from Merck (Rev strand) 2 14 0 0 0 127 127 127 0 0 0 rna 0 color 0,0,0\
longLabel Poly(A)-tail sequencing of MAQC UHR (replicate 2) from Merck (Rev strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq MaqcUhr2\
subGroups view=Signal tissType=MaqcUhr2 strand=rev\
track polyASeqSitesMaqcUhr2Rev\
type bigWig 0.200000 16088.179688\
burgeRnaSeqGemMapperAlignTestes RNA-seq Testes bed 12 Burge Lab RNA-seq 32mer Reads from Testes 1 14 12 12 120 133 133 187 0 0 0 expression 1 longLabel Burge Lab RNA-seq 32mer Reads from Testes\
parent burgeRnaSeqGemMapperAlignViewAlignments off\
shortLabel RNA-seq Testes\
subGroups view=Alignments tissueType=testes\
track burgeRnaSeqGemMapperAlignTestes\
SeqCap-EZ_MedExome_hg19_capture_targets SeqCap EZ Med P bigBed 4 Roche - SeqCap EZ MedExome Capture Probe Footprint 0 14 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted-SeqCap_EZ_MedExome_hg19_capture_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ MedExome Capture Probe Footprint\
parent exomeProbesets off\
shortLabel SeqCap EZ Med P\
track SeqCap-EZ_MedExome_hg19_capture_targets\
type bigBed 4\
epdNew EPDnew Promoters bigBed 8 Promoters from EPDnew human version 006 0 14.3 50 50 200 152 152 227 0 0 0 https://epd.epfl.ch/cgi-bin/get_doc?db=mmEpdNew&format=genome&entry=$$
Description
\
\
\
These tracks represent the experimentally validated promoters generated by \
the Eukaryotic Promoter Database.\
\
\
Display Conventions and Configuration
\
\
\
Each item in the track is a representation of the promoter sequence identified by EPD. The\
"thin" part of the element represents the 49 bp upstream of the annotated transcription\
start site (TSS) whereas the "thick" part represents the TSS plus 10 bp downstream. The\
relative position of the thick and thin parts define the orientation of the promoter.
\
\
Note that the EPD team has created a public track hub containing\
promoter and supporting annotations for human, mouse, and other vertebrate and model organism\
genomes.
\
\
Methods
\
\
Briefly, gene transcript coordinates were obtained from multiple sources (HGNC, GENCODE, Ensembl,\
RefSeq) and validated using data from CAGE and RAMPAGE experimental studies obtained from FANTOM 5,\
UCSC, and ENCODE. Peak calling, clustering and filtering based on relative expression were applied\
to identify the most expressed promoters and those present in the largest number of samples.
\
\
For the methodology and principles used by EPD to predict TSSs, refer to Dreos et al.\
(2013) in the References section below. A more detailed description of how this data was\
generated can be found at the following links:\
\
\
\
expression 1 bedNameLabel Promoter ID\
bigDataUrl /gbdb/hg19/bbi/epdNewHuman006.hg19.bb\
color 50,50,200\
dataVersion EPDNew Version 006 (May 2018)\
exonArrows on\
group expression\
html ../../epdNewPromoter\
longLabel Promoters from EPDnew human version 006\
priority 14.3\
shortLabel EPDnew Promoters\
track epdNew\
type bigBed 8\
url https://epd.epfl.ch/cgi-bin/get_doc?db=mmEpdNew&format=genome&entry=$$\
urlLabel EPDnew link:\
visibility hide\
chainAllMis1 American alligator Chain chain allMis1 American alligator (Aug. 2012 (allMis0.2/allMis1)) Chained Alignments 3 15 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel American alligator (Aug. 2012 (allMis0.2/allMis1)) Chained Alignments\
otherDb allMis1\
parent vertebrateChainNetViewchain off\
shortLabel American alligator Chain\
subGroups view=chain species=s025 clade=c02\
track chainAllMis1\
type chain allMis1\
chainCanFam3 Dog Chain chain canFam3 Dog (Sep. 2011 (Broad CanFam3.1/canFam3)) Chained Alignments 3 15 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Dog (Sep. 2011 (Broad CanFam3.1/canFam3)) Chained Alignments\
otherDb canFam3\
parent placentalChainNetViewchain off\
shortLabel Dog Chain\
subGroups view=chain species=s034d clade=c01\
track chainCanFam3\
type chain canFam3\
wgEncodeUwTfbsA549CtcfStdHotspotsRep1 A549 CTCF Ht 1 broadPeak A549 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel A549 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t2A549 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeHaibRnaSeqA549Dex500pmRawRep2 A549 DEX500pM 2 bigWig 0.108844 1106.400024 A549 DEX 1 hr 500 pM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 15 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 500 pM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 DEX500pM 2\
subGroups view=RawSignal cellType=t2A549 treatment=DEX500PM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex500pmRawRep2\
type bigWig 0.108844 1106.400024\
encTfChipPkENCFF266ORV A549 ESRRA narrowPeak Transcription Factor ChIP-seq Peaks of ESRRA in A549 from ENCODE 3 (ENCFF266ORV) 1 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ESRRA in A549 from ENCODE 3 (ENCFF266ORV)\
parent encTfChipPk off\
shortLabel A549 ESRRA\
subGroups cellType=A549 factor=ESRRA\
track encTfChipPkENCFF266ORV\
agilentCgh1x244k Ag CGH 1x244k bed 4 . Agilent SurePrint HD Human CGH Microarray 1x244K AMADID 014693 0 15 255 128 0 255 191 127 0 0 0 varRep 1 color 255,128,0\
longLabel Agilent SurePrint HD Human CGH Microarray 1x244K AMADID 014693\
parent genotypeArrays\
priority 15\
shortLabel Ag CGH 1x244k\
track agilentCgh1x244k\
type bed 4 .\
wgEncodeUwAffyExonArrayAg04449SimpleSignalRep2 AG04449 2 broadPeak AG04449 Exon array Signal Rep 2 from ENCODE/UW 0 15 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG04449 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG04449 2\
subGroups cellType=t3AG04449 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAg04449SimpleSignalRep2\
type broadPeak\
wgEncodeHaibGenotypeAg09309RegionsRep1 AG09309 1 bed 9 + AG09309 Copy number variants Replicate 1 from ENCODE/HAIB 0 15 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AG09309 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AG09309 1\
subGroups cellType=t3AG09309 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeAg09309RegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450Ag10803SitesRep1 AG10803 bed 9 AG10803 Methylation 450K Bead Array from ENCODE/HAIB 1 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AG10803\
subGroups cellType=t3AG10803 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ag10803SitesRep1\
type bed 9\
wgEncodeAwgDnaseUwAg10803UniPk AG10803 DNase narrowPeak AG10803 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 15 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AG10803 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AG10803 DNase\
subGroups tier=a30 cellType=AG10803\
track wgEncodeAwgDnaseUwAg10803UniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_ctss_fwd AorticSmsToFgf2_00hr30minBr3+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_forward 0 15 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep3%20%28LK9%29.CNhs13569.12840-137B5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12840-137B5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_tpm_fwd AorticSmsToFgf2_00hr30minBr3+ bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_forward 1 15 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep3%20%28LK9%29.CNhs13569.12840-137B5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12840-137B5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5\
urlLabel FANTOM5 Details:\
gtexEqtlTissueBrainNucAccumbens brainNucAccumbens bed 9 + Expression QTL in Brain_Nucleus_accumbens_basal_ganglia from GTEx V6 0 15 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainNucAccumbens where name='%s'\
longLabel Expression QTL in Brain_Nucleus_accumbens_basal_ganglia from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainNucAccumbens\
track gtexEqtlTissueBrainNucAccumbens\
dhcHumDerDenAncCcdsUtr3FixedDbSnp CC Utr3 FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS 3' UTR 3 15 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS 3' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr3 FxS\
subGroups view=Ccds subset=CcdsUtr3 freq=FixedDbSnp\
track dhcHumDerDenAncCcdsUtr3FixedDbSnp\
pgNA12878 CEU daught '2878 pgSnp CEU Trio Daughter NA12878 (1000 Genomes Project) 0 15 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel CEU Trio Daughter NA12878 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel CEU daught '2878\
subGroups view=B_1kG id=BF_12878 type=SNP\
track pgNA12878\
wgEncodeAwgTfbsUwGm12878CtcfUniPk GM12878 CTCF w narrowPeak GM12878 TFBS Uniform Peaks of CTCF from ENCODE/UW/Analysis 1 15 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of CTCF from ENCODE/UW/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 CTCF w\
subGroups tier=a10 cellType=a10GM12878 factor=CTCF lab=UW\
track wgEncodeAwgTfbsUwGm12878CtcfUniPk\
wgEncodeBroadHistoneGm12878H3k9me3StdPk GM12878 H3K9m3 broadPeak GM12878 H3K9me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 15 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K9me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K9m3\
subGroups view=Peaks factor=H3K09ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k9me3StdPk\
type broadPeak\
wgEncodeSunyRipSeqGm12878RipinputAlnRep1 GM12878 Input 1 bam GM12878 RIP-Input RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 15 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 RIP-Input RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 Input 1\
subGroups view=Alignments factor=ripInput cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878RipinputAlnRep1\
type bam\
wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UPlusRawRep2V4 GM78 1x75D + 2 bigWig 0.025000 101261.335938 GM12878 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 15 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal\
shortLabel GM78 1x75D + 2\
subGroups view=PlusSignal cellType=t1GM12878 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dTh1014UPlusRawRep2V4\
type bigWig 0.025000 101261.335938\
wgEncodeHaibTfbsGm12878Bcl11aPcr1xPkRep2 GM78 BCL PCR1 2 broadPeak GM12878 BCL11A PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 15 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCL11A PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCL PCR1 2\
subGroups view=Peaks factor=BCL11A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bcl11aPcr1xPkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CellPapPlusRawSigRep1 GM78 cel pA+ + 1 bigWig 1.000000 1276217.000000 GM12878 whole cell polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 15 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig on\
shortLabel GM78 cel pA+ + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CellPapPlusRawSigRep1\
type bigWig 1.000000 1276217.000000\
wgEncodeSydhTfbsGm12878Ctcfsc15914c20StdPk GM78 CTCF Std narrowPeak GM12878 CTCF Standard ChIP-seq Peaks from ENCODE/SYDH 3 15 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CTCF Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 CTCF Std\
subGroups view=Peaks factor=CTCFb cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ctcfsc15914c20StdPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapPlusRawRep2 GM78 cyto TAP + 2 bigWig 1.000000 4329828.000000 GM12878 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 15 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 cyto TAP + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878CytosolShorttotalTapPlusRawRep2\
type bigWig 1.000000 4329828.000000\
wgEncodeUwHistoneGm12878H3k36me3StdRawRep1 GM78 H3K36M3 Sg 1 bigWig 1.000000 4249.000000 GM12878 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 15 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 H3K36M3 Sg 1\
subGroups view=zRSig factor=H3K36ME3 cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdRawRep1\
type bigWig 1.000000 4249.000000\
wgEncodeRikenCageGm12878NucleolusTotalAln GM78 nlus tot A 1 bam GM12878 nucleolus total CAGE Alignments Rep 1 from ENCODE/RIKEN 0 15 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 nlus tot A 1\
subGroups view=Alignments cellType=t1GM12878 localization=nucleolus rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageGm12878NucleolusTotalAln\
type bam\
wgEncodeOpenChromChipH1hescCtcfSig H1-hESC CTCF DS bigWig 0.000000 10.491300 H1-hESC CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 15 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel H1-hESC CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCtcfSig\
type bigWig 0.000000 10.491300\
hapMapRelease24YRIRecombMap HapMap YRI bigWig 0.0 72.21 HapMap Release 24 YRI recombination map 0 15 110 110 110 182 182 182 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 0 color 110,110,110\
configurable on\
longLabel HapMap Release 24 YRI recombination map\
parent otherMaps\
priority 15\
shortLabel HapMap YRI\
subGroups view=other\
track hapMapRelease24YRIRecombMap\
type bigWig 0.0 72.21\
wgEncodeAwgSegmentationSegwayHepg2 HepG2 Segway bed 9 . HepG2 Genome Segmentation by Segway from ENCODE/Analysis 0 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HepG2 Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HepG2 Segway\
subGroups tier=t2 cellType=t2HEPG2 method=Segway\
track wgEncodeAwgSegmentationSegwayHepg2\
type bed 9 .\
wgEncodeUwDgfHepg2Sig HepG2 Sig bigWig 1.000000 23188.000000 HepG2 DNaseI DGF Per-base Signal from ENCODE/UW 2 15 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal on\
shortLabel HepG2 Sig\
subGroups view=Signal cellType=t2HEPG2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfHepg2Sig\
type bigWig 1.000000 23188.000000\
wgEncodeFsuRepliChipIpshfib2ips5WaveSignalRep1 iPS_hFib2_iPS5 1 bigWig -1.625592 1.751924 iPS hFib2 iPS5 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU 0 15 0 0 0 127 127 127 0 0 0 regulation 0 longLabel iPS hFib2 iPS5 Repli-chip Wavelet-smoothed Signal Rep 1 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel iPS_hFib2_iPS5 1\
subGroups view=WaveSignal cellType=t3IPSHFIB2IPS5 rep=rep1\
track wgEncodeFsuRepliChipIpshfib2ips5WaveSignalRep1\
type bigWig -1.625592 1.751924\
wgEncodeDukeAffyExonK562SimpleSignalRep4 K562 4 bigBed 6 + K562 Exon array Signal Rep 4 from ENCODE/Duke 0 15 46 0 184 150 127 219 1 0 0 expression 1 color 46,0,184\
longLabel K562 Exon array Signal Rep 4 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel K562 4\
subGroups cellType=t1K562 treatment=zNONE rep=rep4\
track wgEncodeDukeAffyExonK562SimpleSignalRep4\
type bigBed 6 +\
wgEncodeGisRnaPetK562ChromatinTotalPlusRawSigRep1 K562 chrm tot + 1 bigWig 1.000000 9878.000000 K562 chromatin total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 15 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 chromatin total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 chrm tot + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Based localization=chromatin rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562ChromatinTotalPlusRawSigRep1\
type bigWig 1.000000 9878.000000\
wgEncodeOpenChromFaireK562NabutBaseOverlapSignal K562 NaBu FAIR OS bigWig 0.000000 1560.000000 K562 Na Butyrate FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 15 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Na Butyrate FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel K562 NaBu FAIR OS\
subGroups view=SIGBO cellType=t1K562 treatment=NaBut\
track wgEncodeOpenChromFaireK562NabutBaseOverlapSignal\
type bigWig 0.000000 1560.000000\
wgEncodeOpenChromDnaseK562NabutBaseOverlapSignal K562 NaBut OS bigWig 0.000000 352.000000 K562 NaBut DNaseI HS Overlap Signal from ENCODE/Duke 2 15 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 NaBut DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel K562 NaBut OS\
subGroups view=SIGBO cellType=t1K562 treatment=NABUT\
track wgEncodeOpenChromDnaseK562NabutBaseOverlapSignal\
type bigWig 0.000000 352.000000\
wgEncodeAffyRnaChipFiltTransfragsK562NucleolusTotal K562 nlus tot broadPeak K562 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL 3 15 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags\
shortLabel K562 nlus tot\
subGroups view=FiltTransfrags cellType=t1K562 localization=gNUCLEOLUS rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsK562NucleolusTotal\
type broadPeak\
wgEncodeUwRepliSeqK562S4PctSignalRep1 K562 S4 1 bigWig 1.000000 100.000000 K562 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 15 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 S4 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqK562S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseK562RawRep2 K562 Sg 2 bigWig 1.000000 47721.000000 K562 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 15 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw\
shortLabel K562 Sg 2\
subGroups view=zRSig cellType=t1K562 rep=rep2 treatment=None\
track wgEncodeUwDnaseK562RawRep2\
type bigWig 1.000000 47721.000000\
wgEncodeSunyAlbanyGeneStK562T7tagRbpAssocRnaV2 K562 T7Tag broadPeak K562 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 15 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel K562 T7Tag\
subGroups cellType=t1K562 factor=T7Tag\
track wgEncodeSunyAlbanyGeneStK562T7tagRbpAssocRnaV2\
type broadPeak\
wgEncodeHaibMethylRrbsMcf7DukeSitesRep1 MCF-7 1 bed 9 + MCF-7 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel MCF-7 1\
subGroups cellType=t2MCF7 obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsMcf7DukeSitesRep1\
type bed 9 +\
wgEncodeSydhHistoneMcf7H3k27me3bUcdSig MCF-7 H3K27me3 bigWig 1.000000 10625.000000 MCF-7 H3K27me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 15 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 H3K27me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel MCF-7 H3K27me3\
subGroups view=Signal factor=H3K27me3B cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k27me3bUcdSig\
type bigWig 1.000000 10625.000000\
wgEncodeGisChiaPetMcf7EraaInteractionsRep2 MCF7 ERa Int 2 bed 12 MCF-7 ERalpha a ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan 2 15 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 ERalpha a ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 ERa Int 2\
subGroups view=Interactions factor=ERAA cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7EraaInteractionsRep2\
type bed 12\
uMassBrainHistoneSignalS6NeuM4pt7yrsM NeuN- 4.7yrs M bigWig UMMS Brain Histone H3K4me3 (NeuN- D6) Gender-male Age-4.7 2 15 0 0 194 127 127 224 0 0 0 regulation 0 color 0,0,194\
longLabel UMMS Brain Histone H3K4me3 (NeuN- D6) Gender-male Age-4.7\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN- 4.7yrs M\
subGroups view=Signal donor=g_6 cellType=neun sex=male age=b_young\
track uMassBrainHistoneSignalS6NeuM4pt7yrsM\
type bigWig\
wgEncodeOpenChromSynthNhekPk NHEK Syn Pk bed 9 + NHEK DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 15 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NHEK DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
parent wgEncodeOpenChromSynth off\
shortLabel NHEK Syn Pk\
subGroups cellType=t3NHEK treatment=aNone\
track wgEncodeOpenChromSynthNhekPk\
type bed 9 +\
lincRNAsCTOvary Ovary bed 5 + lincRNAs from ovary 1 15 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from ovary\
parent lincRNAsAllCellType on\
shortLabel Ovary\
subGroups view=lincRNAsRefseqExp tissueType=ovary\
track lincRNAsCTOvary\
polyASeqSitesMuscleFwd PolyA-Seq Muscle bigWig 0.210000 37201.500000 Poly(A)-tail sequencing of Muscle from Merck (Fwd strand) 2 15 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of Muscle from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Muscle\
subGroups view=Signal tissType=Muscle strand=fwd\
track polyASeqSitesMuscleFwd\
type bigWig 0.210000 37201.500000\
burgeRnaSeqGemMapperAlignBT474AllRawSignal RNA-seq BT474 Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from BT474 Breast Tumour Cell Line, Raw Signal 2 15 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from BT474 Breast Tumour Cell Line, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq BT474 Sig\
subGroups view=RawSignal tissueType=BT474\
track burgeRnaSeqGemMapperAlignBT474AllRawSignal\
SeqCap-EZ_MedExome_hg19_empirical_targets SeqCap EZ Med T bigBed 4 Roche - SeqCap EZ MedExome Empirical Target Regions 0 15 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted_SeqCap_EZ_MedExome_hg19_empirical_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ MedExome Empirical Target Regions\
parent exomeProbesets off\
shortLabel SeqCap EZ Med T\
track SeqCap-EZ_MedExome_hg19_empirical_targets\
type bigBed 4\
netAllMis1 American alligator Net netAlign allMis1 chainAllMis1 American alligator (Aug. 2012 (allMis0.2/allMis1)) Alignment Net 1 16 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel American alligator (Aug. 2012 (allMis0.2/allMis1)) Alignment Net\
otherDb allMis1\
parent vertebrateChainNetViewnet off\
shortLabel American alligator Net\
subGroups view=net species=s025 clade=c02\
track netAllMis1\
type netAlign allMis1 chainAllMis1\
netCanFam3 Dog Net netAlign canFam3 chainCanFam3 Dog (Sep. 2011 (Broad CanFam3.1/canFam3)) Alignment Net 1 16 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Dog (Sep. 2011 (Broad CanFam3.1/canFam3)) Alignment Net\
otherDb canFam3\
parent placentalChainNetViewnet on\
shortLabel Dog Net\
subGroups view=net species=s034d clade=c01\
track netCanFam3\
type netAlign canFam3 chainCanFam3\
wgEncodeDukeAffyExonA549SimpleSignalRep1 A549 1 bigBed 6 + A549 Exon array Signal Rep 1 from ENCODE/Duke 0 16 0 0 0 127 127 127 1 0 0 expression 1 longLabel A549 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel A549 1\
subGroups cellType=t2A549 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonA549SimpleSignalRep1\
type bigBed 6 +\
wgEncodeUwTfbsA549CtcfStdPkRep1 A549 CTCF Pk 1 narrowPeak A549 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel A549 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t2A549 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdPkRep1\
type narrowPeak\
wgEncodeHaibRnaSeqA549Dex500pmAlnRep2 A549 DEX500pM 2 bam A549 DEX 1 hr 500 pM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 16 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 500 pM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX500pM 2\
subGroups view=Alignments cellType=t2A549 treatment=DEX500PM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex500pmAlnRep2\
type bam\
encTfChipPkENCFF297HAT A549 ETS1 narrowPeak Transcription Factor ChIP-seq Peaks of ETS1 in A549 from ENCODE 3 (ENCFF297HAT) 1 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ETS1 in A549 from ENCODE 3 (ENCFF297HAT)\
parent encTfChipPk off\
shortLabel A549 ETS1\
subGroups cellType=A549 factor=ETS1\
track encTfChipPkENCFF297HAT\
wgEncodeOpenChromFaireA549Pk A549 FAIRE Pk narrowPeak A549 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 16 0 0 0 127 127 127 1 0 0 regulation 1 longLabel A549 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel A549 FAIRE Pk\
subGroups view=Peaks cellType=t2A549 treatment=AANONE\
track wgEncodeOpenChromFaireA549Pk\
type narrowPeak\
wgEncodeUwDnaseA549HotspotsRep1 A549 Ht 1 broadPeak A549 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel A549 Ht 1\
subGroups view=Hot cellType=t2A549 rep=rep1 treatment=None\
track wgEncodeUwDnaseA549HotspotsRep1\
type broadPeak\
agilentCgh2x105k Ag CGH 2x105k bed 4 . Agilent SurePrint HD Human CGH Microarray 2x105K AMADID 014698 0 16 0 128 0 127 191 127 0 0 0 varRep 1 color 0,128,0\
longLabel Agilent SurePrint HD Human CGH Microarray 2x105K AMADID 014698\
parent genotypeArrays\
priority 16\
shortLabel Ag CGH 2x105k\
track agilentCgh2x105k\
type bed 4 .\
wgEncodeUwAffyExonArrayAg04450SimpleSignalRep1 AG04450 1 broadPeak AG04450 Exon array Signal Rep 1 from ENCODE/UW 0 16 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG04450 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG04450 1\
subGroups cellType=t3AG04450 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAg04450SimpleSignalRep1\
type broadPeak\
wgEncodeHaibGenotypeAg09319RegionsRep2 AG09319 1 bed 9 + AG09319 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 16 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AG09319 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AG09319 1\
subGroups cellType=t3AG09319 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeAg09319RegionsRep2\
type bed 9 +\
wgEncodeAwgDnaseUwAoafUniPk AoAF DNase narrowPeak AoAF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 16 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AoAF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AoAF DNase\
subGroups tier=a30 cellType=AoAF\
track wgEncodeAwgDnaseUwAoafUniPk\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_ctss_rev AorticSmsToFgf2_00hr30minBr3- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_reverse 0 16 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep3%20%28LK9%29.CNhs13569.12840-137B5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12840-137B5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr30minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_tpm_rev AorticSmsToFgf2_00hr30minBr3- bigWig Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_reverse 1 16 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr30min%2c%20biol_rep3%20%28LK9%29.CNhs13569.12840-137B5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr30min, biol_rep3 (LK9)_CNhs13569_12840-137B5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12840-137B5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr30minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr30minBiolRep3LK9_CNhs13569_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12840-137B5\
urlLabel FANTOM5 Details:\
wgEncodeHaibMethyl450AosmcSitesRep1 AoSMC bed 9 AoSMC Methylation 450K Bead Array from ENCODE/HAIB 1 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoSMC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel AoSMC\
subGroups cellType=t3AOSMC obtainedBy=DUKE treatment=zNONE\
track wgEncodeHaibMethyl450AosmcSitesRep1\
type bed 9\
gtexEqtlTissueBrainPutamen brainPutamen bed 9 + Expression QTL in Brain_Putamen_basal_ganglia from GTEx V6 0 16 238 238 0 246 246 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,238,0\
idInUrlSql select gene from gtexEqtlTissueBrainPutamen where name='%s'\
longLabel Expression QTL in Brain_Putamen_basal_ganglia from GTEx V6\
parent gtexEqtlTissue on\
shortLabel brainPutamen\
track gtexEqtlTissueBrainPutamen\
dhcHumDerDenAncCcdsUtr3HighFreq CC Utr3 HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: CCDS 3' UTR 3 16 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: CCDS 3' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr3 HiF\
subGroups view=Ccds subset=CcdsUtr3 freq=HighFreq\
track dhcHumDerDenAncCcdsUtr3HighFreq\
pgNA12891 CEU father '2891 pgSnp CEU Trio Father NA12891 (1000 Genomes Project) 0 16 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel CEU Trio Father NA12891 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel CEU father '2891\
subGroups view=B_1kG id=BG_12891 type=SNP\
track pgNA12891\
wgEncodeAwgTfbsSydhGm12878E2f4IggmusUniPk GM12878 E2F4 narrowPeak GM12878 TFBS Uniform Peaks of E2F4 from ENCODE/Stanford/Analysis 1 16 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of E2F4 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 E2F4\
subGroups tier=a10 cellType=a10GM12878 factor=E2F4 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878E2f4IggmusUniPk\
wgEncodeBroadHistoneGm12878H3k9me3StdSig GM12878 H3K9m3 bigWig 0.040000 44431.519531 GM12878 H3K9me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 16 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K9me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K9m3\
subGroups view=Signal factor=H3K09ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k9me3StdSig\
type bigWig 0.040000 44431.519531\
wgEncodeSunyRipSeqGm12878RipinputAlnRep2 GM12878 Input 2 bam GM12878 RIP-Input RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 16 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 RIP-Input RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel GM12878 Input 2\
subGroups view=Alignments factor=ripInput cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878RipinputAlnRep2\
type bam\
wgEncodeCaltechRnaSeqGm12878R1x75dSplicesRep1V2 GM78 1x75D Sp 1 bam GM12878 single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 16 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel GM78 1x75D Sp 1\
subGroups view=Splices cellType=t1GM12878 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dSplicesRep1V2\
type bam\
wgEncodeHaibTfbsGm12878Bcl11aPcr1xRawRep2 GM78 BCL11A 2 bigWig 0.159611 359.764008 GM12878 BCL11A PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 16 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCL11A PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCL11A 2\
subGroups view=RawSignal factor=BCL11A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bcl11aPcr1xRawRep2\
type bigWig 0.159611 359.764008\
wgEncodeCshlLongRnaSeqGm12878CellPapPlusRawSigRep2 GM78 cel pA+ + 2 bigWig 1.000000 1512808.000000 GM12878 whole cell polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 16 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig on\
shortLabel GM78 cel pA+ + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CellPapPlusRawSigRep2\
type bigWig 1.000000 1512808.000000\
wgEncodeSydhTfbsGm12878Ctcfsc15914c20StdSig GM78 CTCF Std bigWig 1.000000 7505.000000 GM12878 CTCF Standard ChIP-seq Signal from ENCODE/SYDH 2 16 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CTCF Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 CTCF Std\
subGroups view=Signal factor=CTCFb cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ctcfsc15914c20StdSig\
type bigWig 1.000000 7505.000000\
wgEncodeUwHistoneGm12878H3k36me3StdHotspotsRep2 GM78 H3K36M3 Ht 2 broadPeak GM12878 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 16 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel GM78 H3K36M3 Ht 2\
subGroups view=Hot factor=H3K36ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdHotspotsRep2\
type broadPeak\
wgEncodeCshlShortRnaSeqGm12878NucleolusTapContigs GM78 nlus TAP C bed 6 GM12878 TAP-only nucleolus small RNA-seq Contigs from ENCODE/CSHL 2 16 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 TAP-only nucleolus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel GM78 nlus TAP C\
subGroups view=Contigs cellType=t1GM12878 localization=NUCLEOLUS protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqGm12878NucleolusTapContigs\
type bed 6\
wgEncodeRikenCageGm12878NucleusPamTssHmmV2 GM78 nucl pA- bed 6 GM12878 nucleus polyA - CAGE TSS HMM from ENCODE/RIKEN 3 16 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA - CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 nucl pA-\
subGroups view=TssHmm cellType=t1GM12878 localization=nucleus rnaExtract=pAM rep=Pooled rank=rankP\
track wgEncodeRikenCageGm12878NucleusPamTssHmmV2\
type bed 6\
wgEncodeOpenChromChipH1hescCtcfBaseOverlapSignal H1-hESC CTCF OS bigWig 0.000000 1248.000000 H1-hESC CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 16 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel H1-hESC CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescCtcfBaseOverlapSignal\
type bigWig 0.000000 1248.000000\
wgEncodeAffyRnaChipFiltTransfragsHepg2CytosolLongnonpolya HepG2 cyto pA- broadPeak HepG2 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 16 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel HepG2 cyto pA-\
subGroups view=FiltTransfrags cellType=t2HEPG2 localization=bCYTOSOL rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsHepg2CytosolLongnonpolya\
type broadPeak\
wgEncodeUwDgfHepg2Raw HepG2 Raw bigWig 1.000000 102081.000000 HepG2 DNaseI DGF Raw Signal from ENCODE/UW 0 16 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw on\
shortLabel HepG2 Raw\
subGroups view=zRaw cellType=t2HEPG2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfHepg2Raw\
type bigWig 1.000000 102081.000000\
wgEncodeAwgSegmentationChromhmmHuvec HUVEC ChromHMM bed 9 . HUVEC Genome Segmentation by ChromHMM from ENCODE/Analysis 0 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC Genome Segmentation by ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HUVEC ChromHMM\
subGroups tier=t2 cellType=t2HUVEC method=ChromHMM\
track wgEncodeAwgSegmentationChromhmmHuvec\
type bed 9 .\
wgEncodeFsuRepliChipIpshfib2ips5WaveSignalRep2 iPS_hFib2_iPS5 2 bigWig -2.466517 2.850585 iPS hFib2 iPS5 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU 0 16 0 0 0 127 127 127 0 0 0 regulation 0 longLabel iPS hFib2 iPS5 Repli-chip Wavelet-smoothed Signal Rep 2 from ENCODE/FSU\
parent wgEncodeFsuRepliChip off\
shortLabel iPS_hFib2_iPS5 2\
subGroups view=WaveSignal cellType=t3IPSHFIB2IPS5 rep=rep2\
track wgEncodeFsuRepliChipIpshfib2ips5WaveSignalRep2\
type bigWig -2.466517 2.850585\
wgEncodeGisRnaPetK562ChromatinTotalAlnRep1 K562 chrm tot A 1 bam K562 chromatin total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 16 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 chromatin total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 chrm tot A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Based localization=chromatin rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562ChromatinTotalAlnRep1\
type bam\
wgEncodeUwRepliSeqK562G2PctSignalRep1 K562 G2 1 bigWig 1.000000 100.000000 K562 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 16 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel K562 G2 1\
subGroups view=v1PctSignal cellType=t1K562 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqK562G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStK562RipinputRbpAssocRnaV2 K562 RIP-Input broadPeak K562 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 16 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel K562 RIP-Input\
subGroups cellType=t1K562 factor=ripInput\
track wgEncodeSunyAlbanyGeneStK562RipinputRbpAssocRnaV2\
type broadPeak\
wgEncodeOpenChromDnaseK562Saha1u72hrPk K562 SAHA 72h Pk narrowPeak K562 SAHA 1 uM 72 h DNaseI HS Peaks from ENCODE/Duke 3 16 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 SAHA 1 uM 72 h DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel K562 SAHA 72h Pk\
subGroups view=Peaks cellType=t1K562 treatment=SAHA1U72HR\
track wgEncodeOpenChromDnaseK562Saha1u72hrPk\
type narrowPeak\
wgEncodeHaibMethylRrbsMcf7DukeSitesRep2 MCF-7 2 bed 9 + MCF-7 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel MCF-7 2\
subGroups cellType=t2MCF7 obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsMcf7DukeSitesRep2\
type bed 9 +\
wgEncodeSydhHistoneMcf7H3k36me3bUcdPk MCF-7 H3K36me3 narrowPeak MCF-7 H3K36me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 H3K36me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel MCF-7 H3K36me3\
subGroups view=Peaks factor=H3K36me3B cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k36me3bUcdPk\
type narrowPeak\
wgEncodeGisChiaPetMcf7EraaSigRep2 MCF7 ERa Sig 2 bigWig 1.000000 1372.000000 MCF-7 ERalpha a ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan 2 16 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 ERalpha a ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 ERa Sig 2\
subGroups view=Signal factor=ERAA cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7EraaSigRep2\
type bigWig 1.000000 1372.000000\
uMassBrainHistoneSignalS11NeuM69yrsF NeuN- 69yrs F bigWig UMMS Brain Histone H3K4me3 (NeuN- D11) Gender-female Age-69 2 16 0 0 117 127 127 186 0 0 0 regulation 0 color 0,0,117\
longLabel UMMS Brain Histone H3K4me3 (NeuN- D11) Gender-female Age-69\
parent uMassBrainHistoneViewSignal\
shortLabel NeuN- 69yrs F\
subGroups view=Signal donor=l_11 cellType=neun sex=female age=c_old\
track uMassBrainHistoneSignalS11NeuM69yrsF\
type bigWig\
wgEncodeOpenChromSynthPanisletsPk Pan Islets Syn Pk bed 9 + PanIslets DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom 0 16 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PanIslets DNaseI/FAIRE/ChIP Synthesis from ENCODE/OpenChrom\
origAssembly hg19\
parent wgEncodeOpenChromSynth off\
shortLabel Pan Islets Syn Pk\
subGroups cellType=t3PANISLETS treatment=aNone\
track wgEncodeOpenChromSynthPanisletsPk\
type bed 9 +\
lincRNAsCTPlacenta_R Placenta_R bed 5 + lincRNAs from placenta_r 1 16 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from placenta_r\
parent lincRNAsAllCellType on\
shortLabel Placenta_R\
subGroups view=lincRNAsRefseqExp tissueType=placenta_r\
track lincRNAsCTPlacenta_R\
polyASeqSitesMuscleRev PolyA-Seq Muscle bigWig 0.210000 124901.000000 Poly(A)-tail sequencing of Muscle from Merck (Rev strand) 2 16 0 0 0 127 127 127 0 0 0 rna 0 color 0,0,0\
longLabel Poly(A)-tail sequencing of Muscle from Merck (Rev strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Muscle\
subGroups view=Signal tissType=Muscle strand=rev\
track polyASeqSitesMuscleRev\
type bigWig 0.210000 124901.000000\
burgeRnaSeqGemMapperAlignHMEAllRawSignal RNA-seq HME Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from HME (Human Mammary Epithelial) Cell Line, Raw Signal 2 16 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from HME (Human Mammary Epithelial) Cell Line, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq HME Sig\
subGroups view=RawSignal tissueType=HME\
track burgeRnaSeqGemMapperAlignHMEAllRawSignal\
SeqCap-EZ_MedExomePlusMito_hg19_capture SeqCap EZ Med+Mito P bigBed 4 Roche - SeqCap EZ MedExome + Mito Capture Probe Footprint 0 16 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted-SeqCap_EZ_MedExomePlusMito_hg19_capture_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ MedExome + Mito Capture Probe Footprint\
parent exomeProbesets on\
shortLabel SeqCap EZ Med+Mito P\
track SeqCap-EZ_MedExomePlusMito_hg19_capture\
type bigBed 4\
chainAnoCar2 Lizard Chain chain anoCar2 Lizard (May 2010 (Broad AnoCar2.0/anoCar2)) Chained Alignments 3 17 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Lizard (May 2010 (Broad AnoCar2.0/anoCar2)) Chained Alignments\
otherDb anoCar2\
parent vertebrateChainNetViewchain off\
shortLabel Lizard Chain\
subGroups view=chain species=s027 clade=c02\
track chainAnoCar2\
type chain anoCar2\
chainFelCat5 Cat Chain chain felCat5 Cat (Sep. 2011 (ICGSC Felis_catus 6.2/felCat5)) Chained Alignments 3 17 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Cat (Sep. 2011 (ICGSC Felis_catus 6.2/felCat5)) Chained Alignments\
otherDb felCat5\
parent placentalChainNetViewchain off\
shortLabel Cat Chain\
subGroups view=chain species=s039 clade=c01\
track chainFelCat5\
type chain felCat5\
wgEncodeDukeAffyExonA549SimpleSignalRep2 A549 2 bigBed 6 + A549 Exon array Signal Rep 2 from ENCODE/Duke 0 17 0 0 0 127 127 127 1 0 0 expression 1 longLabel A549 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel A549 2\
subGroups cellType=t2A549 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonA549SimpleSignalRep2\
type bigBed 6 +\
wgEncodeUwTfbsA549CtcfStdRawRep1 A549 CTCF Sg 1 bigWig 1.000000 6710.000000 A549 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 17 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel A549 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t2A549 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdRawRep1\
type bigWig 1.000000 6710.000000\
wgEncodeHaibRnaSeqA549Dex5nmRawRep1 A549 DEX5nM 1 bigWig 0.149512 1237.839966 A549 DEX 1 hr 5 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 17 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 5 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal on\
shortLabel A549 DEX5nM 1\
subGroups view=RawSignal cellType=t2A549 treatment=DEX5NM rep=rep1\
track wgEncodeHaibRnaSeqA549Dex5nmRawRep1\
type bigWig 0.149512 1237.839966\
wgEncodeOpenChromFaireA549Sig A549 FAIRE DS bigWig 0.000000 0.403700 A549 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 17 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel A549 FAIRE DS\
subGroups view=SIG cellType=t2A549 treatment=AANONE\
track wgEncodeOpenChromFaireA549Sig\
type bigWig 0.000000 0.403700\
encTfChipPkENCFF374ZCG A549 FOSL2 narrowPeak Transcription Factor ChIP-seq Peaks of FOSL2 in A549 from ENCODE 3 (ENCFF374ZCG) 1 17 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of FOSL2 in A549 from ENCODE 3 (ENCFF374ZCG)\
parent encTfChipPk off\
shortLabel A549 FOSL2\
subGroups cellType=A549 factor=FOSL2\
track encTfChipPkENCFF374ZCG\
wgEncodeUwDnaseA549PkRep1 A549 Pk 1 narrowPeak A549 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 17 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel A549 Pk 1\
subGroups view=Peaks cellType=t2A549 rep=rep1 treatment=None\
track wgEncodeUwDnaseA549PkRep1\
type narrowPeak\
agilentCgh4x44k Ag CGH 4x44k bed 4 . Agilent SurePrint HD Human CGH Microarray 4x44K AMADID 014950 0 17 255 128 0 255 191 127 0 0 0 varRep 1 color 255,128,0\
longLabel Agilent SurePrint HD Human CGH Microarray 4x44K AMADID 014950\
parent genotypeArrays\
priority 17\
shortLabel Ag CGH 4x44k\
track agilentCgh4x44k\
type bed 4 .\
wgEncodeUwAffyExonArrayAg04450SimpleSignalRep2 AG04450 2 broadPeak AG04450 Exon array Signal Rep 2 from ENCODE/UW 0 17 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG04450 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG04450 2\
subGroups cellType=t3AG04450 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAg04450SimpleSignalRep2\
type broadPeak\
wgEncodeHaibGenotypeAg10803RegionsRep1 AG10803 1 bed 9 + AG10803 Copy number variants Replicate 1 from ENCODE/HAIB 0 17 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AG10803 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AG10803 1\
subGroups cellType=t3AG10803 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeAg10803RegionsRep1\
type bed 9 +\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_ctss_fwd AorticSmsToFgf2_00hr45minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_forward 0 17 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep1%20%28LK10%29.CNhs13343.12645-134G8.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12645-134G8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_tpm_fwd AorticSmsToFgf2_00hr45minBr1+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_forward 1 17 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep1%20%28LK10%29.CNhs13343.12645-134G8.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12645-134G8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8\
urlLabel FANTOM5 Details:\
wgEncodeAwgDnaseDukeAosmcUniPk AoSMC DNase narrowPeak AoSMC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 17 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AoSMC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel AoSMC DNase\
subGroups tier=a30 cellType=AoSMC\
track wgEncodeAwgDnaseDukeAosmcUniPk\
wgEncodeHaibMethyl450Be2cSitesRep1 BE2_C bed 9 BE2_C Methylation 450K Bead Array from ENCODE/HAIB 1 17 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2_C Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel BE2_C\
subGroups cellType=t3BE2C obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Be2cSitesRep1\
type bed 9\
gtexEqtlTissueBreastMamTissue breastMamTissue bed 9 + Expression QTL in Breast_Mammary_Tissue from GTEx V6 0 17 0 205 205 127 230 230 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 0,205,205\
idInUrlSql select gene from gtexEqtlTissueBreastMamTissue where name='%s'\
longLabel Expression QTL in Breast_Mammary_Tissue from GTEx V6\
parent gtexEqtlTissue on\
shortLabel breastMamTissue\
track gtexEqtlTissueBreastMamTissue\
dhcHumDerDenAncCcdsUtr5Fixed CC Utr5 Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS 5' UTR 3 17 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS 5' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr5 Fxd\
subGroups view=Ccds subset=CcdsUtr5 freq=Fixed\
track dhcHumDerDenAncCcdsUtr5Fixed\
pgNA12892 CEU mother '2892 pgSnp CEU Trio Mother NA12892 (1000 Genomes Project) 0 17 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel CEU Trio Mother NA12892 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel CEU mother '2892\
subGroups view=B_1kG id=BH_12892 type=SNP\
track pgNA12892\
wgEncodeAwgTfbsHaibGm12878Ebf1sc137065Pcr1xUniPk GM12878 EBF1 h narrowPeak GM12878 TFBS Uniform Peaks of EBF1_(SC-137065) from ENCODE/HudsonAlpha/Analysis 1 17 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of EBF1_(SC-137065) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EBF1 h\
subGroups tier=a10 cellType=a10GM12878 factor=EBF1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Ebf1sc137065Pcr1xUniPk\
wgEncodeBroadHistoneGm12878H3k27acStdPk GM12878 H3K27ac broadPeak GM12878 H3K27ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 17 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K27ac\
subGroups view=Peaks factor=H3K27AC cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k27acStdPk\
type broadPeak\
wgEncodeSunyRipSeqGm12878RipinputPk GM12878 Input Pk broadPeak GM12878 RIP-Input RIP-seq Analysis from ENCODE/SUNY 2 17 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 RIP-Input RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks off\
shortLabel GM12878 Input Pk\
subGroups view=Peaks factor=ripInput cellType=t1GM12878 rep=Pooled\
track wgEncodeSunyRipSeqGm12878RipinputPk\
type broadPeak\
wgEncodeCaltechRnaSeqGm12878R1x75dSplicesRep2V2 GM78 1x75D Sp 2 bam GM12878 single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 17 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel GM78 1x75D Sp 2\
subGroups view=Splices cellType=t1GM12878 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqGm12878R1x75dSplicesRep2V2\
type bam\
wgEncodeHaibTfbsGm12878Bcl3V0416101PkRep1 GM78 BCL3 V101 1 broadPeak GM12878 BCL3 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 17 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCL3 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCL3 V101 1\
subGroups view=Peaks factor=BCL3 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bcl3V0416101PkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaAlnRep1 GM78 cyt pA- A 1 bam GM12878 cytosol polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 17 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cyt pA- A 1\
subGroups view=Alignments cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaAlnRep1\
type bam\
wgEncodeSydhTfbsGm12878E2f4IggmusPk GM78 E2F4 IgM narrowPeak GM12878 E2F4 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 17 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 E2F4 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 E2F4 IgM\
subGroups view=Peaks factor=E2F4 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878E2f4IggmusPk\
type narrowPeak\
wgEncodeUwHistoneGm12878H3k36me3StdPkRep2 GM78 H3K36M3 Pk 2 narrowPeak GM12878 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 17 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel GM78 H3K36M3 Pk 2\
subGroups view=Peaks factor=H3K36ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdPkRep2\
type narrowPeak\
wgEncodeCshlShortRnaSeqGm12878NucleolusTapMinusRawRep3 GM78 nlus TAP - 1 bigWig 1.000000 13819072.000000 GM12878 TAP-only nucleolus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 17 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleolus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 nlus TAP - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEOLUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878NucleolusTapMinusRawRep3\
type bigWig 1.000000 13819072.000000\
wgEncodeRikenCageGm12878NucleusPamPlusSignalRep1 GM78 nucl pA- + 1 bigWig 0.710000 17480.259766 GM12878 nucleus polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 17 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 nucl pA- + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAM rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPamPlusSignalRep1\
type bigWig 0.710000 17480.259766\
wgEncodeOpenChromChipH1hescPol2Pk H1-hESC Pol2 Pk narrowPeak H1-hESC Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 17 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel H1-hESC Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescPol2Pk\
type narrowPeak\
wgEncodeSunyAlbanyGeneStHelas3Elavl1RbpAssocRnaV2 HeLa-S3 ELAV1 broadPeak HeLa-S3 ELAV1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 17 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 ELAV1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HeLa-S3 ELAV1\
subGroups cellType=t2HELAS3 factor=ELAVL1\
track wgEncodeSunyAlbanyGeneStHelas3Elavl1RbpAssocRnaV2\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsHepg2CytosolLongpolya HepG2 cyto pA+ broadPeak HepG2 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 17 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel HepG2 cyto pA+\
subGroups view=FiltTransfrags cellType=t2HEPG2 localization=bCYTOSOL rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsHepg2CytosolLongpolya\
type broadPeak\
wgEncodeAwgSegmentationCombinedHuvec HUVEC Combined bed 9 . HUVEC Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis 0 17 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC Genome Segmentation by Combined Segway+ChromHMM from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HUVEC Combined\
subGroups tier=t2 cellType=t2HUVEC method=Combined\
track wgEncodeAwgSegmentationCombinedHuvec\
type bed 9 .\
wgEncodeUwDgfHuvecHotspots HUVEC Hot broadPeak HUVEC DNaseI DGF Hotspots from ENCODE/UW 0 17 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots on\
shortLabel HUVEC Hot\
subGroups view=Hotspots cellType=t2HUVEC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHuvecHotspots\
type broadPeak\
wgEncodeGisRnaPetK562CytosolPapClustersRep1 K562 cyto pA+ 1 bed 6 + K562 cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 17 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 cyto pA+ 1\
subGroups view=v1Clusters cellType=aK562 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562CytosolPapClustersRep1\
type bed 6 +\
wgEncodeUwRepliSeqK562PkRep1 K562 Pk 1 bed 9 K562 Repli-seq Peaks Rep 1 from ENCODE/UW 0 17 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel K562 Pk 1\
subGroups view=v2Peaks cellType=t1K562 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqK562PkRep1\
type bed 9\
wgEncodeOpenChromDnaseK562Saha1u72hrSig K562 SAHA 72h DS bigWig 0.000000 1.588700 K562 SAHA 1 uM 72 h DNaseI HS Density Signal from ENCODE/Duke 2 17 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 SAHA 1 uM 72 h DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel K562 SAHA 72h DS\
subGroups view=SIG cellType=t1K562 treatment=SAHA1U72HR\
track wgEncodeOpenChromDnaseK562Saha1u72hrSig\
type bigWig 0.000000 1.588700\
wgEncodeSydhHistoneMcf7H3k36me3bUcdSig MCF-7 H3K36me3 bigWig 1.000000 9422.000000 MCF-7 H3K36me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 17 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 H3K36me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel MCF-7 H3K36me3\
subGroups view=Signal factor=H3K36me3B cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7H3k36me3bUcdSig\
type bigWig 1.000000 9422.000000\
wgEncodeGisChiaPetMcf7EraaInteractionsRep3 MCF7 ERa Int 3 bed 12 MCF-7 ERalpha a ChIA-PET Interactions Rep 3 from ENCODE/GIS-Ruan 2 17 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 ERalpha a ChIA-PET Interactions Rep 3 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 ERa Int 3\
subGroups view=Interactions factor=ERAA cellType=t2MCF7 rep=rep3\
track wgEncodeGisChiaPetMcf7EraaInteractionsRep3\
type bed 12\
polyASeqSitesTestisFwd PolyA-Seq Testis bigWig 0.200000 61261.609375 Poly(A)-tail sequencing of Testis from Merck (Fwd strand) 2 17 153 51 51 204 153 153 0 0 0 rna 0 color 153,51,51\
longLabel Poly(A)-tail sequencing of Testis from Merck (Fwd strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Testis\
subGroups view=Signal tissType=Testis strand=fwd\
track polyASeqSitesTestisFwd\
type bigWig 0.200000 61261.609375\
lincRNAsCTProstate Prostate bed 5 + lincRNAs from prostate 1 17 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from prostate\
parent lincRNAsAllCellType on\
shortLabel Prostate\
subGroups view=lincRNAsRefseqExp tissueType=prostate\
track lincRNAsCTProstate\
burgeRnaSeqGemMapperAlignMB435AllRawSignal RNA-seq MB435 Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from MB-435 Cell Line, Raw Signal 2 17 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from MB-435 Cell Line, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq MB435 Sig\
subGroups view=RawSignal tissueType=MB435\
track burgeRnaSeqGemMapperAlignMB435AllRawSignal\
SeqCap-EZ_MedExomePlusMito_hg19_empirical_targets SeqCap EZ Med+Mito T bigBed 3 Roche - SeqCap EZ MedExome + Mito Empirical Target Regions 0 17 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/SeqCap_EZ_MedExomePlusMito_hg19_empirical_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ MedExome + Mito Empirical Target Regions\
parent exomeProbesets on\
shortLabel SeqCap EZ Med+Mito T\
track SeqCap-EZ_MedExomePlusMito_hg19_empirical_targets\
type bigBed 3\
wgEncodeHaibMethylRrbsSknshHaibSitesRep1 SK-N-SH 1 bed 9 + SK-N-SH Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 17 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SK-N-SH Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel SK-N-SH 1\
subGroups cellType=t2SKNSH obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsSknshHaibSitesRep1\
type bed 9 +\
netFelCat5 felCat5 Net netAlign felCat5 chainFelCat5 Cat (Sep. 2011 (ICGSC Felis_catus 6.2/felCat5)) Alignment Net 1 18 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Cat (Sep. 2011 (ICGSC Felis_catus 6.2/felCat5)) Alignment Net\
otherDb felCat5\
parent placentalChainNetViewnet off\
shortLabel felCat5 Net\
subGroups view=net species=s039 clade=c01\
track netFelCat5\
type netAlign felCat5 chainFelCat5\
netAnoCar2 Lizard Net netAlign anoCar2 chainAnoCar2 Lizard (May 2010 (Broad AnoCar2.0/anoCar2)) Alignment Net 1 18 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Lizard (May 2010 (Broad AnoCar2.0/anoCar2)) Alignment Net\
otherDb anoCar2\
parent vertebrateChainNetViewnet off\
shortLabel Lizard Net\
subGroups view=net species=s027 clade=c02\
track netAnoCar2\
type netAlign anoCar2 chainAnoCar2\
wgEncodeUwTfbsA549CtcfStdHotspotsRep2 A549 CTCF Ht 2 broadPeak A549 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 18 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel A549 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t2A549 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeHaibRnaSeqA549Dex5nmAlnRep1 A549 DEX5nM 1 bam A549 DEX 1 hr 5 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 18 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 5 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX5nM 1\
subGroups view=Alignments cellType=t2A549 treatment=DEX5NM rep=rep1\
track wgEncodeHaibRnaSeqA549Dex5nmAlnRep1\
type bam\
wgEncodeOpenChromFaireA549BaseOverlapSignal A549 FAIRE OS bigWig 0.000000 1563.000000 A549 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 18 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel A549 FAIRE OS\
subGroups view=SIGBO cellType=t2A549 treatment=AANONE\
track wgEncodeOpenChromFaireA549BaseOverlapSignal\
type bigWig 0.000000 1563.000000\
encTfChipPkENCFF441MEM A549 FOXA1 1 narrowPeak Transcription Factor ChIP-seq Peaks of FOXA1 in A549 from ENCODE 3 (ENCFF441MEM) 1 18 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of FOXA1 in A549 from ENCODE 3 (ENCFF441MEM)\
parent encTfChipPk off\
shortLabel A549 FOXA1 1\
subGroups cellType=A549 factor=FOXA1\
track encTfChipPkENCFF441MEM\
wgEncodeUwDnaseA549RawRep1 A549 Sg 1 bigWig 1.000000 85215.000000 A549 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 18 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel A549 Sg 1\
subGroups view=zRSig cellType=t2A549 rep=rep1 treatment=None\
track wgEncodeUwDnaseA549RawRep1\
type bigWig 1.000000 85215.000000\
wgEncodeUwAffyExonArrayAg09309SimpleSignalRep1 AG09309 1 broadPeak AG09309 Exon array Signal Rep 1 from ENCODE/UW 0 18 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG09309 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG09309 1\
subGroups cellType=t3AG09309 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAg09309SimpleSignalRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_ctss_rev AorticSmsToFgf2_00hr45minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_reverse 0 18 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep1%20%28LK10%29.CNhs13343.12645-134G8.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12645-134G8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_tpm_rev AorticSmsToFgf2_00hr45minBr1- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_reverse 1 18 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep1%20%28LK10%29.CNhs13343.12645-134G8.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep1 (LK10)_CNhs13343_12645-134G8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12645-134G8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep1LK10_CNhs13343_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12645-134G8\
urlLabel FANTOM5 Details:\
wgEncodeHaibGenotypeAosmcRegionsRep1 AoSMC 1 bed 9 + AoSMC Copy number variants Replicate 1 from ENCODE/HAIB 0 18 0 0 0 127 127 127 0 0 0 varRep 1 longLabel AoSMC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel AoSMC 1\
subGroups cellType=t3AOSMC obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeAosmcRegionsRep1\
type bed 9 +\
wgEncodeAwgDnaseUwBe2cUniPk BE2_C DNase narrowPeak BE2_C DNaseI HS Uniform Peaks from ENCODE/Analysis 1 18 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BE2_C DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel BE2_C DNase\
subGroups tier=a30 cellType=BE2_C\
track wgEncodeAwgDnaseUwBe2cUniPk\
wgEncodeHaibMethyl450BjSitesRep1 BJ bed 9 BJ Methylation 450K Bead Array from ENCODE/HAIB 1 18 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BJ Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel BJ\
subGroups cellType=t3BJ obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450BjSitesRep1\
type bed 9\
dhcHumDerDenAncCcdsUtr5FixedDbSnp CC Utr5 FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS 5' UTR 3 18 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS 5' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr5 FxS\
subGroups view=Ccds subset=CcdsUtr5 freq=FixedDbSnp\
track dhcHumDerDenAncCcdsUtr5FixedDbSnp\
gtexEqtlTissueColonSigmoid colonSigmoid bed 9 + Expression QTL in Colon_Sigmoid from GTEx V6 0 18 205 183 158 230 219 206 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,183,158\
idInUrlSql select gene from gtexEqtlTissueColonSigmoid where name='%s'\
longLabel Expression QTL in Colon_Sigmoid from GTEx V6\
parent gtexEqtlTissue on\
shortLabel colonSigmoid\
track gtexEqtlTissueColonSigmoid\
wgEncodeAwgTfbsSydhGm12878Ebf1sc137065UniPk GM12878 EBF1 s narrowPeak GM12878 TFBS Uniform Peaks of EBF1_(SC-137065) from ENCODE/Stanford/Analysis 1 18 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of EBF1_(SC-137065) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EBF1 s\
subGroups tier=a10 cellType=a10GM12878 factor=EBF1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Ebf1sc137065UniPk\
wgEncodeBroadHistoneGm12878H3k27acStdSig GM12878 H3K27ac bigWig 0.040000 355227.000000 GM12878 H3K27ac Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 18 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K27ac Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K27ac\
subGroups view=Signal factor=H3K27AC cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k27acStdSig\
type bigWig 0.040000 355227.000000\
wgEncodeSunyRipSeqGm12878RipinputSigRep1 GM12878 Input 1 bigWig 0.000000 83164.492188 GM12878 RIP-Input RIP-seq Signal Rep 1 from ENCODE/SUNY 2 18 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 RIP-Input RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 Input 1\
subGroups view=Signal factor=ripInput cellType=t1GM12878 rep=rep1\
track wgEncodeSunyRipSeqGm12878RipinputSigRep1\
type bigWig 0.000000 83164.492188\
wgEncodeHaibTfbsGm12878Bcl3V0416101RawRep1 GM78 BCL3 V101 1 bigWig 0.151761 82.292603 GM12878 BCL3 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 18 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCL3 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCL3 V101 1\
subGroups view=RawSignal factor=BCL3 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bcl3V0416101RawRep1\
type bigWig 0.151761 82.292603\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaAlnRep2 GM78 cyt pA- A 2 bam GM12878 cytosol polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 18 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cyt pA- A 2\
subGroups view=Alignments cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaAlnRep2\
type bam\
wgEncodeSydhTfbsGm12878E2f4IggmusSig GM78 E2F4 IgM bigWig 1.000000 9292.000000 GM12878 E2F4 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 18 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 E2F4 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 E2F4 IgM\
subGroups view=Signal factor=E2F4 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878E2f4IggmusSig\
type bigWig 1.000000 9292.000000\
wgEncodeUwHistoneGm12878H3k36me3StdRawRep2 GM78 H3K36M3 Sg 2 bigWig 1.000000 4313.000000 GM12878 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 18 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 H3K36M3 Sg 2\
subGroups view=zRSig factor=H3K36ME3 cellType=t1GM12878 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneGm12878H3k36me3StdRawRep2\
type bigWig 1.000000 4313.000000\
wgEncodeCshlShortRnaSeqGm12878NucleolusTapMinusRawRep4 GM78 nlus TAP - 2 bigWig 1.000000 11989655.000000 GM12878 TAP-only nucleolus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 18 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleolus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 nlus TAP - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEOLUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878NucleolusTapMinusRawRep4\
type bigWig 1.000000 11989655.000000\
wgEncodeRikenCageGm12878NucleusPamMinusSignalRep1 GM78 nucl pA- - 1 bigWig 0.710000 8817.570312 GM12878 nucleus polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 18 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 nucl pA- - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAM rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPamMinusSignalRep1\
type bigWig 0.710000 8817.570312\
wgEncodeOpenChromChipH1hescPol2Sig H1-hESC Pol2 DS bigWig 0.000000 2.933300 H1-hESC Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 18 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel H1-hESC Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescPol2Sig\
type bigWig 0.000000 2.933300\
wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep1V2 H1ES 2x75 A 1 bam H1-hESC 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 18 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 2x75 A 1\
subGroups view=Aligns cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep1V2\
type bam\
wgEncodeSunyAlbanyGeneStHelas3Pabpc1RbpAssocRnaV2 HeLa-S3 PABPC1 broadPeak HeLa-S3 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 18 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HeLa-S3 PABPC1\
subGroups cellType=t2HELAS3 factor=PABPC1\
track wgEncodeSunyAlbanyGeneStHelas3Pabpc1RbpAssocRnaV2\
type broadPeak\
wgEncodeDukeAffyExonHelas3Ifna4hSimpleSignalRep1V2 HeLa-S3 1 bigBed 6 + HeLa-S3 IFN-a 4 h Exon array Signal Rep 1 from ENCODE/Duke 0 18 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 IFN-a 4 h Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 treatment=IFNA4H rep=rep1\
track wgEncodeDukeAffyExonHelas3Ifna4hSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeAffyRnaChipFiltTransfragsHepg2NucleusLongnonpolya HepG2 nucl pA- broadPeak HepG2 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 18 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel HepG2 nucl pA-\
subGroups view=FiltTransfrags cellType=t2HEPG2 localization=dNUCLEUS rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsHepg2NucleusLongnonpolya\
type broadPeak\
wgEncodeUwDgfHuvecPk HUVEC Pk narrowPeak HUVEC DNaseI DGF Peaks from ENCODE/UW 0 18 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks on\
shortLabel HUVEC Pk\
subGroups view=Peaks cellType=t2HUVEC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHuvecPk\
type narrowPeak\
wgEncodeAwgSegmentationSegwayHuvec HUVEC Segway bed 9 . HUVEC Genome Segmentation by Segway from ENCODE/Analysis 0 18 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HUVEC Genome Segmentation by Segway from ENCODE/Analysis\
parent wgEncodeAwgSegmentation off\
shortLabel HUVEC Segway\
subGroups tier=t2 cellType=t2HUVEC method=Segway\
track wgEncodeAwgSegmentationSegwayHuvec\
type bed 9 .\
snpArrayIllumina550 Illumina 550 bed 6 + Illumina Human Hap 550v3 0 18 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human Hap 550v3\
parent genotypeArrays off\
priority 18\
shortLabel Illumina 550\
track snpArrayIllumina550\
type bed 6 +\
snpArrayIllumina650 Illumina 650 bed 6 + Illumina Human Hap 650v3 0 18 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human Hap 650v3\
parent genotypeArrays off\
priority 18\
shortLabel Illumina 650\
track snpArrayIllumina650\
type bed 6 +\
wgEncodeGisRnaPetK562CytosolPapMinusRawRep1 K562 cyto pA+ - 1 bigWig 1.000000 1588640.000000 K562 cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 18 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 cyto pA+ - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562CytosolPapMinusRawRep1\
type bigWig 1.000000 1588640.000000\
wgEncodeOpenChromDnaseK562Saha1u72hrBaseOverlapSignal K562 SAHA 72h OS bigWig 0.000000 330.000000 K562 SAHA 1 uM 72 h DNaseI HS Overlap Signal from ENCODE/Duke 2 18 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 SAHA 1 uM 72 h DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel K562 SAHA 72h OS\
subGroups view=SIGBO cellType=t1K562 treatment=SAHA1U72HR\
track wgEncodeOpenChromDnaseK562Saha1u72hrBaseOverlapSignal\
type bigWig 0.000000 330.000000\
wgEncodeUwRepliSeqK562ValleysRep1 K562 Vly 1 bed 9 K562 Repli-seq Valleys Rep 1 from ENCODE/UW 0 18 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel K562 Vly 1\
subGroups view=v3Valleys cellType=t1K562 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqK562ValleysRep1\
type bed 9\
wgEncodeGisChiaPetMcf7EraaSigRep3 MCF7 ERa Sig 3 bigWig 1.000000 1735.000000 MCF-7 ERalpha a ChIA-PET Signal Rep 3 from ENCODE/GIS-Ruan 2 18 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 ERalpha a ChIA-PET Signal Rep 3 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 ERa Sig 3\
subGroups view=Signal factor=ERAA cellType=t2MCF7 rep=rep3\
track wgEncodeGisChiaPetMcf7EraaSigRep3\
type bigWig 1.000000 1735.000000\
wgEncodeSydhHistoneMcf7InputUcdSig MCF7 Inupt bigWig 0.000000 12982.900391 MCF-7 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 18 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel MCF7 Inupt\
subGroups view=Signal factor=INPUT cellType=bMCF7 control=UCD treatment=NONE\
track wgEncodeSydhHistoneMcf7InputUcdSig\
type bigWig 0.000000 12982.900391\
polyASeqSitesTestisRev PolyA-Seq Testis bigWig 0.200000 69989.523438 Poly(A)-tail sequencing of Testis from Merck (Rev strand) 2 18 0 0 0 127 127 127 0 0 0 rna 0 color 0,0,0\
longLabel Poly(A)-tail sequencing of Testis from Merck (Rev strand)\
parent polyASeqSitesSignalView\
shortLabel PolyA-Seq Testis\
subGroups view=Signal tissType=Testis strand=rev\
track polyASeqSitesTestisRev\
type bigWig 0.200000 69989.523438\
burgeRnaSeqGemMapperAlignMCF7AllRawSignal RNA-seq MCF7 Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from MCF-7 Breast Adenocarcinoma Cell Line, Raw Signal 2 18 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from MCF-7 Breast Adenocarcinoma Cell Line, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq MCF7 Sig\
subGroups view=RawSignal tissueType=MCF7\
track burgeRnaSeqGemMapperAlignMCF7AllRawSignal\
SeqCap_EZ_Exome_v3_hg19_capture SeqCap EZ V3 P bigBed 4 Roche - SeqCap EZ Exome V3 Capture Probe Footprint 0 18 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted_SeqCap_EZ_Exome_v3_hg19_capture_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ Exome V3 Capture Probe Footprint\
parent exomeProbesets off\
shortLabel SeqCap EZ V3 P\
track SeqCap_EZ_Exome_v3_hg19_capture\
type bigBed 4\
wgEncodeHaibMethylRrbsSknshHaibSitesRep2 SK-N-SH 2 bed 9 + SK-N-SH Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 18 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SK-N-SH Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel SK-N-SH 2\
subGroups cellType=t2SKNSH obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsSknshHaibSitesRep2\
type bed 9 +\
lincRNAsCTSkeletalMuscle SkeletalMuscle bed 5 + lincRNAs from skeletalmuscle 1 18 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from skeletalmuscle\
parent lincRNAsAllCellType on\
shortLabel SkeletalMuscle\
subGroups view=lincRNAsRefseqExp tissueType=skeletalmuscle\
track lincRNAsCTSkeletalMuscle\
pgNA19240 YRI daught '9240 pgSnp YRI Trio Daughter NA19240 (1000 Genomes Project) 0 18 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel YRI Trio Daughter NA19240 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel YRI daught '9240\
subGroups view=B_1kG id=BI_19240 type=SNP\
track pgNA19240\
chainBosTau7 bosTau7 Chain chain bosTau7 Cow (Oct. 2011 (Baylor Btau_4.6.1/bosTau7)) Chained Alignments 3 19 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Cow (Oct. 2011 (Baylor Btau_4.6.1/bosTau7)) Chained Alignments\
otherDb bosTau7\
parent placentalChainNetViewchain off\
shortLabel bosTau7 Chain\
subGroups view=chain species=s052 clade=c02\
track chainBosTau7\
type chain bosTau7\
chainXenTro3 X. tropicalis Chain chain xenTro3 X. tropicalis (Nov. 2009 (JGI 4.2/xenTro3)) Chained Alignments 3 19 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel X. tropicalis (Nov. 2009 (JGI 4.2/xenTro3)) Chained Alignments\
otherDb xenTro3\
parent vertebrateChainNetViewchain off\
shortLabel X. tropicalis Chain\
subGroups view=chain species=s031 clade=c03\
track chainXenTro3\
type chain xenTro3\
wgEncodeUwTfbsA549CtcfStdPkRep2 A549 CTCF Pk 2 narrowPeak A549 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel A549 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t2A549 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdPkRep2\
type narrowPeak\
wgEncodeHaibRnaSeqA549Dex5nmRawRep2 A549 DEX5nM 2 bigWig 0.157130 1170.689941 A549 DEX 1 hr 5 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 19 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 DEX 1 hr 5 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 DEX5nM 2\
subGroups view=RawSignal cellType=t2A549 treatment=DEX5NM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex5nmRawRep2\
type bigWig 0.157130 1170.689941\
encTfChipPkENCFF755AXA A549 FOXA1 2 narrowPeak Transcription Factor ChIP-seq Peaks of FOXA1 in A549 from ENCODE 3 (ENCFF755AXA) 1 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of FOXA1 in A549 from ENCODE 3 (ENCFF755AXA)\
parent encTfChipPk off\
shortLabel A549 FOXA1 2\
subGroups cellType=A549 factor=FOXA1\
track encTfChipPkENCFF755AXA\
wgEncodeUwDnaseA549HotspotsRep2 A549 Ht 2 broadPeak A549 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel A549 Ht 2\
subGroups view=Hot cellType=t2A549 rep=rep2 treatment=None\
track wgEncodeUwDnaseA549HotspotsRep2\
type broadPeak\
wgEncodeHaibMethylRrbsBcadrenalglandh12803nBiochainSitesRep1 Adrenal_BC 1 bed 9 + Adrenal Gland BC H12803N Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Adrenal Gland BC H12803N Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Adrenal_BC 1\
subGroups cellType=t3ADRENALGLANDBCH12803N obtainedBy=BioChain treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsBcadrenalglandh12803nBiochainSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayAg09309SimpleSignalRep2 AG09309 2 broadPeak AG09309 Exon array Signal Rep 2 from ENCODE/UW 0 19 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG09309 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG09309 2\
subGroups cellType=t3AG09309 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAg09309SimpleSignalRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_ctss_fwd AorticSmsToFgf2_00hr45minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_forward 0 19 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep2%20%28LK11%29.CNhs13361.12743-135I7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12743-135I7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_tpm_fwd AorticSmsToFgf2_00hr45minBr2+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_forward 1 19 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep2%20%28LK11%29.CNhs13361.12743-135I7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12743-135I7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7\
urlLabel FANTOM5 Details:\
wgEncodeHaibGenotypeBjRegionsRep1 BJ 1 bed 9 + BJ Copy number variants Replicate 1 from ENCODE/HAIB 0 19 0 0 0 127 127 127 0 0 0 varRep 1 longLabel BJ Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel BJ 1\
subGroups cellType=t3BJ obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeBjRegionsRep1\
type bed 9 +\
wgEncodeAwgDnaseUwBjUniPk BJ DNase narrowPeak BJ DNaseI HS Uniform Peaks from ENCODE/Analysis 1 19 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BJ DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel BJ DNase\
subGroups tier=a30 cellType=BJ\
track wgEncodeAwgDnaseUwBjUniPk\
wgEncodeHaibMethyl450Caco2SitesRep1 Caco-2 bed 9 Caco-2 Methylation 450K Bead Array from ENCODE/HAIB 1 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Caco-2 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel Caco-2\
subGroups cellType=t3CACO2 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Caco2SitesRep1\
type bed 9\
dhcHumDerDenAncCcdsUtr5HighFreq CC Utr5 HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: CCDS 5' UTR 3 19 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: CCDS 5' UTR\
parent dhcHumDerDenAncCcds\
shortLabel CC Utr5 HiF\
subGroups view=Ccds subset=CcdsUtr5 freq=HighFreq\
track dhcHumDerDenAncCcdsUtr5HighFreq\
gtexEqtlTissueColonTransverse colonTransverse bed 9 + Expression QTL in Colon_Transverse from GTEx V6 0 19 238 197 145 246 226 200 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,197,145\
idInUrlSql select gene from gtexEqtlTissueColonTransverse where name='%s'\
longLabel Expression QTL in Colon_Transverse from GTEx V6\
parent gtexEqtlTissue on\
shortLabel colonTransverse\
track gtexEqtlTissueColonTransverse\
wgEncodeAwgTfbsHaibGm12878Egr1Pcr2xUniPk GM12878 EGR1 narrowPeak GM12878 TFBS Uniform Peaks of Egr-1 from ENCODE/HudsonAlpha/Analysis 1 19 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Egr-1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EGR1\
subGroups tier=a10 cellType=a10GM12878 factor=EGR1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Egr1Pcr2xUniPk\
wgEncodeBroadHistoneGm12878H3k27me3StdPkV2 GM12878 H3K27m3 broadPeak GM12878 H3K27me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 19 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K27m3\
subGroups view=Peaks factor=H3K27ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k27me3StdPkV2\
type broadPeak\
wgEncodeSunyRipSeqGm12878RipinputSigRep2 GM12878 Input 2 bigWig 0.000000 106078.593750 GM12878 RIP-Input RIP-seq Signal Rep 2 from ENCODE/SUNY 2 19 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 RIP-Input RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel GM12878 Input 2\
subGroups view=Signal factor=ripInput cellType=t1GM12878 rep=rep2\
track wgEncodeSunyRipSeqGm12878RipinputSigRep2\
type bigWig 0.000000 106078.593750\
wgEncodeHaibTfbsGm12878Bcl3V0416101PkRep2 GM78 BCL3 V101 2 broadPeak GM12878 BCL3 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 19 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCL3 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCL3 V101 2\
subGroups view=Peaks factor=BCL3 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bcl3V0416101PkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolPamContigs GM78 cyt pA- C bed 6 + GM12878 cytosol polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 19 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel GM78 cyt pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqGm12878CytosolPamContigs\
type bed 6 +\
wgEncodeSydhTfbsGm12878Ebf1sc137065StdPk GM78 EBF1 Std narrowPeak GM12878 EBF1 Standard ChIP-seq Peaks from ENCODE/SYDH 3 19 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 EBF1 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 EBF1 Std\
subGroups view=Peaks factor=EBF1SC137065 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ebf1sc137065StdPk\
type narrowPeak\
wgEncodeUwHistoneGm12878InputStdRawRep1 GM78 In Sg 1 bigWig 1.000000 8963.000000 GM12878 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 19 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel GM78 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t1GM12878 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneGm12878InputStdRawRep1\
type bigWig 1.000000 8963.000000\
wgEncodeCshlShortRnaSeqGm12878NucleolusTapPlusRawRep3 GM78 nlus TAP + 1 bigWig 1.000000 27178892.000000 GM12878 TAP-only nucleolus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 19 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleolus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 nlus TAP + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEOLUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878NucleolusTapPlusRawRep3\
type bigWig 1.000000 27178892.000000\
wgEncodeRikenCageGm12878NucleusPamAlnRep1 GM78 nucl pA- A 1 bam GM12878 nucleus polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 19 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 nucl pA- A 1\
subGroups view=Alignments cellType=t1GM12878 localization=nucleus rnaExtract=pAM rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPamAlnRep1\
type bam\
wgEncodeOpenChromChipH1hescPol2BaseOverlapSignal H1-hESC Pol2 OS bigWig 0.000000 1223.000000 H1-hESC Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 19 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel H1-hESC Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t1H1HESC\
track wgEncodeOpenChromChipH1hescPol2BaseOverlapSignal\
type bigWig 0.000000 1223.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep2V2 H1ES 2x75 A 2 bam H1-hESC 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 19 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 2x75 A 2\
subGroups view=Aligns cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep2V2\
type bam\
wgEncodeSydhHistoneHct116H3k04me1UcdPk HCT-116 H3K4me1 narrowPeak HCT-116 H3K4me1 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 19 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 H3K4me1 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel HCT-116 H3K4me1\
subGroups view=Peaks factor=H3K04ME1 cellType=cHCT116 control=UCD treatment=NONE\
track wgEncodeSydhHistoneHct116H3k04me1UcdPk\
type narrowPeak\
wgEncodeDukeAffyExonHelas3Ifna4hSimpleSignalRep2V2 HeLa-S3 2 bigBed 6 + HeLa-S3 IFN-a 4 h Exon array Signal Rep 2 from ENCODE/Duke 0 19 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 IFN-a 4 h Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 2\
subGroups cellType=t2HELAS3 treatment=IFNA4H rep=rep2\
track wgEncodeDukeAffyExonHelas3Ifna4hSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeOpenChromFaireHelas3Pk HeLa-S3 FAIRE Pk narrowPeak HeLa-S3 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 19 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HeLa-S3 FAIRE Pk\
subGroups view=Peaks cellType=t2HELAS3 treatment=AANONE\
track wgEncodeOpenChromFaireHelas3Pk\
type narrowPeak\
wgEncodeSunyAlbanyGeneStHelas3T7tagRbpAssocRnaV2 HeLa-S3 T7Tag broadPeak HeLa-S3 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 19 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HeLa-S3 T7Tag\
subGroups cellType=t2HELAS3 factor=T7Tag\
track wgEncodeSunyAlbanyGeneStHelas3T7tagRbpAssocRnaV2\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsHepg2NucleusLongpolya HepG2 nucl pA+ broadPeak HepG2 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 19 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel HepG2 nucl pA+\
subGroups view=FiltTransfrags cellType=t2HEPG2 localization=dNUCLEUS rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsHepg2NucleusLongpolya\
type broadPeak\
wgEncodeUwDgfHuvecSig HUVEC Sig bigWig 1.000000 72607.000000 HUVEC DNaseI DGF Per-base Signal from ENCODE/UW 2 19 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal on\
shortLabel HUVEC Sig\
subGroups view=Signal cellType=t2HUVEC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHuvecSig\
type bigWig 1.000000 72607.000000\
snpArrayIllumina300 Illumina 300 bed 6 + Illumina Human Hap 300v3 0 19 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human Hap 300v3\
parent genotypeArrays off\
priority 19\
shortLabel Illumina 300\
track snpArrayIllumina300\
type bed 6 +\
wgEncodeGisRnaPetK562CytosolPapPlusRawRep1 K562 cyto pA+ + 1 bigWig 1.000000 1905401.000000 K562 cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 19 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562CytosolPapPlusRawRep1\
type bigWig 1.000000 1905401.000000\
wgEncodeOpenChromDnaseK562SahactrlPk K562 SAHA Ctrl Pk narrowPeak K562 SAHA Control DNaseI HS Peaks from ENCODE/Duke 3 19 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 SAHA Control DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel K562 SAHA Ctrl Pk\
subGroups view=Peaks cellType=t1K562 treatment=SAHACTRL\
track wgEncodeOpenChromDnaseK562SahactrlPk\
type narrowPeak\
wgEncodeUwRepliSeqK562WaveSignalRep1 K562 Ws 1 bigWig -8.533489 91.331688 K562 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 19 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal\
shortLabel K562 Ws 1\
subGroups view=v4WaveSignal cellType=t1K562 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqK562WaveSignalRep1\
type bigWig -8.533489 91.331688\
wgEncodeGisChiaPetMcf7Pol2InteractionsRep1 MCF7 Pol2 Int 1 bed 12 MCF-7 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 19 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 Pol2 Int 1\
subGroups view=Interactions factor=POL2 cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7Pol2InteractionsRep1\
type bed 12\
burgeRnaSeqGemMapperAlignT47DAllRawSignal RNA-seq T47D Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from T-47D Breast Ductal Carcinoma Cell Line, Raw Signal 2 19 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from T-47D Breast Ductal Carcinoma Cell Line, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq T47D Sig\
subGroups view=RawSignal tissueType=T47D\
track burgeRnaSeqGemMapperAlignT47DAllRawSignal\
SeqCap_EZ_Exome_v3_hg19_primary SeqCap EZ V3 T bigBed 4 Roche - SeqCap EZ Exome V3 Primary Target Regions 0 19 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted_SeqCap_EZ_Exome_v3_hg19_primary_targets.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ Exome V3 Primary Target Regions\
parent exomeProbesets off\
shortLabel SeqCap EZ V3 T\
track SeqCap_EZ_Exome_v3_hg19_primary\
type bigBed 4\
lincRNAsCTTestes Testes bed 5 + lincRNAs from testes 1 19 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from testes\
parent lincRNAsAllCellType on\
shortLabel Testes\
subGroups view=lincRNAsRefseqExp tissueType=testes\
track lincRNAsCTTestes\
pgNA19238 YRI mother '9238 pgSnp YRI Trio Mother NA19238 (1000 Genomes Project) 0 19 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel YRI Trio Mother NA19238 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel YRI mother '9238\
subGroups view=B_1kG id=BJ_19238 type=SNP\
track pgNA19238\
netXenTro3 X. tropicalis Net netAlign xenTro3 chainXenTro3 X. tropicalis (Nov. 2009 (JGI 4.2/xenTro3)) Alignment Net 1 20 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel X. tropicalis (Nov. 2009 (JGI 4.2/xenTro3)) Alignment Net\
otherDb xenTro3\
parent vertebrateChainNetViewnet off\
shortLabel X. tropicalis Net\
subGroups view=net species=s031 clade=c03\
track netXenTro3\
type netAlign xenTro3 chainXenTro3\
netBosTau7 Cow Net netAlign bosTau7 chainBosTau7 Cow (Oct. 2011 (Baylor Btau_4.6.1/bosTau7)) Alignment Net 1 20 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Cow (Oct. 2011 (Baylor Btau_4.6.1/bosTau7)) Alignment Net\
otherDb bosTau7\
parent placentalChainNetViewnet off\
shortLabel Cow Net\
subGroups view=net species=s052 clade=c02\
track netBosTau7\
type netAlign bosTau7 chainBosTau7\
wgEncodeUwTfbsA549CtcfStdRawRep2 A549 CTCF Sg 2 bigWig 1.000000 8690.000000 A549 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 20 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel A549 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t2A549 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsA549CtcfStdRawRep2\
type bigWig 1.000000 8690.000000\
wgEncodeHaibRnaSeqA549Dex5nmAlnRep2 A549 DEX5nM 2 bam A549 DEX 1 hr 5 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 20 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 DEX 1 hr 5 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 DEX5nM 2\
subGroups view=Alignments cellType=t2A549 treatment=DEX5NM rep=rep2\
track wgEncodeHaibRnaSeqA549Dex5nmAlnRep2\
type bam\
encTfChipPkENCFF415WEH A549 HDAC2 narrowPeak Transcription Factor ChIP-seq Peaks of HDAC2 in A549 from ENCODE 3 (ENCFF415WEH) 1 20 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of HDAC2 in A549 from ENCODE 3 (ENCFF415WEH)\
parent encTfChipPk off\
shortLabel A549 HDAC2\
subGroups cellType=A549 factor=HDAC2\
track encTfChipPkENCFF415WEH\
wgEncodeUwDnaseA549PkRep2 A549 Pk 2 narrowPeak A549 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 20 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel A549 Pk 2\
subGroups view=Peaks cellType=t2A549 rep=rep2 treatment=None\
track wgEncodeUwDnaseA549PkRep2\
type narrowPeak\
wgEncodeHaibMethylRrbsBcadrenalglandh12803nBiochainSitesRep2 Adrenal_BC 2 bed 9 + Adrenal Gland BC H12803N Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 20 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Adrenal Gland BC H12803N Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Adrenal_BC 2\
subGroups cellType=t3ADRENALGLANDBCH12803N obtainedBy=BioChain treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsBcadrenalglandh12803nBiochainSitesRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayAg09319SimpleSignalRep1 AG09319 1 broadPeak AG09319 Exon array Signal Rep 1 from ENCODE/UW 0 20 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG09319 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG09319 1\
subGroups cellType=t3AG09319 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAg09319SimpleSignalRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_ctss_rev AorticSmsToFgf2_00hr45minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_reverse 0 20 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep2%20%28LK11%29.CNhs13361.12743-135I7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12743-135I7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_tpm_rev AorticSmsToFgf2_00hr45minBr2- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_reverse 1 20 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep2%20%28LK11%29.CNhs13361.12743-135I7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep2 (LK11)_CNhs13361_12743-135I7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12743-135I7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep2LK11_CNhs13361_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12743-135I7\
urlLabel FANTOM5 Details:\
wgEncodeHaibGenotypeCaco2RegionsRep1 Caco-2 1 bed 9 + Caco-2 Copy number variants Replicate 1 from ENCODE/HAIB 0 20 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Caco-2 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Caco-2 1\
subGroups cellType=t3CACO2 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeCaco2RegionsRep1\
type bed 9 +\
dhcHumDerDenAncCcdsSynFixed CC Syn Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: CCDS Syn 3 20 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: CCDS Syn\
parent dhcHumDerDenAncCcds off\
shortLabel CC Syn Fxd\
subGroups view=Ccds subset=CcdsZLast_Syn freq=Fixed\
track dhcHumDerDenAncCcdsSynFixed\
wgEncodeAwgDnaseUwCd34mobilizedUniPk CD34+_Mobil DNase narrowPeak CD34+_Mobilized DNaseI HS Uniform Peaks from ENCODE/Analysis 1 20 0 0 0 127 127 127 1 0 0 regulation 1 longLabel CD34+_Mobilized DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel CD34+_Mobil DNase\
subGroups tier=a30 cellType=CD34_Mobilized\
track wgEncodeAwgDnaseUwCd34mobilizedUniPk\
wgEncodeHaibMethyl450CmkSitesRep1 CMK bed 9 CMK Methylation 450K Bead Array from ENCODE/HAIB 1 20 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CMK Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel CMK\
subGroups cellType=t3CMK obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450CmkSitesRep1\
type bed 9\
gtexEqtlTissueEsophagusJunction esophagusJunction bed 9 + Expression QTL in Esophagus_Gastroesophageal_Junction from GTEx V6 0 20 139 115 85 197 185 170 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 139,115,85\
idInUrlSql select gene from gtexEqtlTissueEsophagusJunction where name='%s'\
longLabel Expression QTL in Esophagus_Gastroesophageal_Junction from GTEx V6\
parent gtexEqtlTissue on\
shortLabel esophagusJunction\
track gtexEqtlTissueEsophagusJunction\
wgEncodeAwgTfbsHaibGm12878Elf1sc631V0416101UniPk GM12878 ELF1 narrowPeak GM12878 TFBS Uniform Peaks of ELF1_(SC-631) from ENCODE/HudsonAlpha/Analysis 1 20 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ELF1_(SC-631) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ELF1\
subGroups tier=a10 cellType=a10GM12878 factor=ELF1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Elf1sc631V0416101UniPk\
wgEncodeBroadHistoneGm12878H3k27me3StdSigV2 GM12878 H3K27m3 bigWig 0.040000 36959.921875 GM12878 H3K27me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 20 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K27me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg18\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K27m3\
subGroups view=Signal factor=H3K27ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k27me3StdSigV2\
type bigWig 0.040000 36959.921875\
wgEncodeHaibTfbsGm12878Bcl3V0416101RawRep2 GM78 BCL3 V101 2 bigWig 0.260326 363.350006 GM12878 BCL3 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 20 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCL3 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCL3 V101 2\
subGroups view=RawSignal factor=BCL3 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bcl3V0416101RawRep2\
type bigWig 0.260326 363.350006\
wgEncodeCshlLongRnaSeqGm12878CytosolPamJunctions GM78 cyt pA- J bed 6 + GM12878 cytosol polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 20 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 cyt pA- J\
subGroups view=Junctions cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878CytosolPamJunctions\
type bed 6 +\
wgEncodeSydhTfbsGm12878Ebf1sc137065StdSig GM78 EBF1 Std bigWig 1.000000 10389.000000 GM12878 EBF1 Standard ChIP-seq Signal from ENCODE/SYDH 2 20 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 EBF1 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 EBF1 Std\
subGroups view=Signal factor=EBF1SC137065 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ebf1sc137065StdSig\
type bigWig 1.000000 10389.000000\
wgEncodeCshlShortRnaSeqGm12878NucleolusTapPlusRawRep4 GM78 nlus TAP + 2 bigWig 1.000000 23041462.000000 GM12878 TAP-only nucleolus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 20 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleolus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 nlus TAP + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEOLUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878NucleolusTapPlusRawRep4\
type bigWig 1.000000 23041462.000000\
wgEncodeRikenCageGm12878NucleusPapTssHmm GM78 nucl pA+ bed 6 GM12878 nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 20 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 nucl pA+\
subGroups view=TssHmm cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageGm12878NucleusPapTssHmm\
type bed 6\
wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep3V2 H1ES 2x75 A 3 bam H1-hESC 200 bp paired read RNA-seq Alignments Rep 3 from ENCODE/Caltech 0 20 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Alignments Rep 3 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 2x75 A 3\
subGroups view=Aligns cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep3 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep3V2\
type bam\
wgEncodeSydhHistoneHct116H3k04me1UcdSig HCT-116 H3K4me1 bigWig 1.000000 8904.000000 HCT-116 H3K4me1 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 20 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCT-116 H3K4me1 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel HCT-116 H3K4me1\
subGroups view=Signal factor=H3K04ME1 cellType=cHCT116 control=UCD treatment=NONE\
track wgEncodeSydhHistoneHct116H3k04me1UcdSig\
type bigWig 1.000000 8904.000000\
wgEncodeDukeAffyExonHelas3Ifng4hSimpleSignalRep1V2 HeLa-S3 1 bigBed 6 + HeLa-S3 IFN-g 4 h Exon array Signal Rep 1 from ENCODE/Duke 0 20 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 IFN-g 4 h Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 treatment=IFNG4H rep=rep1\
track wgEncodeDukeAffyExonHelas3Ifng4hSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeOpenChromFaireHelas3Sig HeLa-S3 FAIRE DS bigWig 0.000000 0.549300 HeLa-S3 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 20 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HeLa-S3 FAIRE DS\
subGroups view=SIG cellType=t2HELAS3 treatment=AANONE\
track wgEncodeOpenChromFaireHelas3Sig\
type bigWig 0.000000 0.549300\
wgEncodeSunyAlbanyGeneStHelas3RipinputRbpAssocRnaV2 HeLa-S3 RIP-Input broadPeak HeLa-S3 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 20 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HeLa-S3 RIP-Input\
subGroups cellType=t2HELAS3 factor=ripInput\
track wgEncodeSunyAlbanyGeneStHelas3RipinputRbpAssocRnaV2\
type broadPeak\
wgEncodeAffyRnaChipFiltTransfragsHepg2NucleolusTotal HepG2 nlus tot broadPeak HepG2 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL 3 20 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 nucleolus total Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel HepG2 nlus tot\
subGroups view=FiltTransfrags cellType=t2HEPG2 localization=gNUCLEOLUS rnaExtract=total\
track wgEncodeAffyRnaChipFiltTransfragsHepg2NucleolusTotal\
type broadPeak\
wgEncodeUwDgfHuvecRaw HUVEC Raw bigWig 1.000000 242408.000000 HUVEC DNaseI DGF Raw Signal from ENCODE/UW 0 20 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw on\
shortLabel HUVEC Raw\
subGroups view=zRaw cellType=t2HUVEC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHuvecRaw\
type bigWig 1.000000 242408.000000\
snpArrayIllumina1M Illumina 1M-Duo bed 6 + Illumina Human1M-Duo 0 20 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human1M-Duo\
parent genotypeArrays\
priority 20\
shortLabel Illumina 1M-Duo\
track snpArrayIllumina1M\
type bed 6 +\
wgEncodeOpenChromChipK562CmycPk K562 cMyc Pk narrowPeak K562 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 20 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel K562 cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t1K562\
track wgEncodeOpenChromChipK562CmycPk\
type narrowPeak\
wgEncodeGisRnaPetK562CytosolPapAlnRep1 K562 cyto pA+ A 1 bam K562 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 20 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 cyto pA+ A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562CytosolPapAlnRep1\
type bam\
wgEncodeSunyRipSeqK562Elavl1AlnRep1 K562 ELAVL1 1 bam K562 ELAVL1 RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 20 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 ELAVL1 RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 ELAVL1 1\
subGroups view=Alignments factor=ELAVL1 cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562Elavl1AlnRep1\
type bam\
wgEncodeUwHistoneK562H3k4me3StdHotspotsRep1 K562 H3K4M3 Ht 1 broadPeak K562 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 20 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdHotspotsRep1\
type broadPeak\
wgEncodeOpenChromDnaseK562SahactrlSig K562 SAHA Ctrl DS bigWig 0.000000 2.081900 K562 SAHA Control DNaseI HS Density Signal from ENCODE/Duke 2 20 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 SAHA Control DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel K562 SAHA Ctrl DS\
subGroups view=SIG cellType=t1K562 treatment=SAHACTRL\
track wgEncodeOpenChromDnaseK562SahactrlSig\
type bigWig 0.000000 2.081900\
wgEncodeUwRepliSeqK562SumSignalRep1 K562 Sd 1 bigWig 2.000000 3354.000000 K562 Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 20 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel K562 Sd 1\
subGroups view=v5SumSignal cellType=t1K562 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqK562SumSignalRep1\
type bigWig 2.000000 3354.000000\
wgEncodeGisChiaPetMcf7Pol2SigRep1 MCF7 Pol2 Sig 1 bigWig 1.000000 8201.000000 MCF-7 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 20 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 Pol2 Sig 1\
subGroups view=Signal factor=POL2 cellType=t2MCF7 rep=rep1\
track wgEncodeGisChiaPetMcf7Pol2SigRep1\
type bigWig 1.000000 8201.000000\
phastConsElements46wayPrimates Primate El bed 5 . Primate Conserved Elements 0 20 170 50 100 212 152 177 0 0 0 compGeno 1 color 170,50,100\
longLabel Primate Conserved Elements\
noInherit on\
parent cons46wayViewelements off\
priority 20\
shortLabel Primate El\
subGroups view=elements clade=primate\
track phastConsElements46wayPrimates\
type bed 5 .\
burgeRnaSeqGemMapperAlignAdiposeAllRawSignal RNA-seq Adipose Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Adipose, Raw Signal 2 20 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Adipose, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq Adipose Sig\
subGroups view=RawSignal tissueType=adipose\
track burgeRnaSeqGemMapperAlignAdiposeAllRawSignal\
SeqCap_EZ_ExomeV3_Plus_UTR_hg19_capture_annotated SeqCap EZ V3 UTR P bigBed 3 Roche - SeqCap EZ Exome V3 + UTR Capture Probe Footprint 0 20 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted-SeqCap_EZ_ExomeV3_Plus_UTR_hg19_capture_annotated.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ Exome V3 + UTR Capture Probe Footprint\
parent exomeProbesets off\
shortLabel SeqCap EZ V3 UTR P\
track SeqCap_EZ_ExomeV3_Plus_UTR_hg19_capture_annotated\
type bigBed 3\
lincRNAsCTTestes_R Testes_R bed 5 + lincRNAs from testes_r 1 20 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from testes_r\
parent lincRNAsAllCellType on\
shortLabel Testes_R\
subGroups view=lincRNAsRefseqExp tissueType=testes_r\
track lincRNAsCTTestes_R\
pgNA19239 YRI father '9239 pgSnp YRI Trio Father NA19239 (1000 Genomes Project) 0 20 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel YRI Trio Father NA19239 (1000 Genomes Project)\
origAssembly hg18\
parent pgSnp1kG\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel YRI father '9239\
subGroups view=B_1kG id=BK_19239 type=SNP\
track pgNA19239\
chainDanRer7 Zebrafish Chain chain danRer7 Zebrafish (Jul. 2010 (Zv9/danRer7)) Chained Alignments 3 21 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Zebrafish (Jul. 2010 (Zv9/danRer7)) Chained Alignments\
otherDb danRer7\
parent vertebrateChainNetViewchain off\
shortLabel Zebrafish Chain\
subGroups view=chain species=s045 clade=c06\
track chainDanRer7\
type chain danRer7\
chainOviAri3 Sheep Chain chain oviAri3 Sheep (Aug. 2012 (ISGC Oar_v3.1/oviAri3)) Chained Alignments 3 21 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Sheep (Aug. 2012 (ISGC Oar_v3.1/oviAri3)) Chained Alignments\
otherDb oviAri3\
parent placentalChainNetViewchain off\
shortLabel Sheep Chain\
subGroups view=chain species=s065c clade=c02\
track chainOviAri3\
type chain oviAri3\
wgEncodeHaibRnaSeqA549Etoh02RawRep1 A549 ETOH 1 bigWig 0.218757 915.445007 A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 21 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal on\
shortLabel A549 ETOH 1\
subGroups view=RawSignal cellType=t2A549 treatment=ETOH02 rep=rep1\
track wgEncodeHaibRnaSeqA549Etoh02RawRep1\
type bigWig 0.218757 915.445007\
wgEncodeUwTfbsA549InputStdRawRep1 A549 In Sg 1 bigWig 1.000000 12152.000000 A549 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 21 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel A549 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2A549 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsA549InputStdRawRep1\
type bigWig 1.000000 12152.000000\
encTfChipPkENCFF708LCH A549 JUN narrowPeak Transcription Factor ChIP-seq Peaks of JUN in A549 from ENCODE 3 (ENCFF708LCH) 1 21 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of JUN in A549 from ENCODE 3 (ENCFF708LCH)\
parent encTfChipPk off\
shortLabel A549 JUN\
subGroups cellType=A549 factor=JUN\
track encTfChipPkENCFF708LCH\
wgEncodeUwDnaseA549RawRep2 A549 Sg 2 bigWig 1.000000 71139.000000 A549 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 21 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel A549 Sg 2\
subGroups view=zRSig cellType=t2A549 rep=rep2 treatment=None\
track wgEncodeUwDnaseA549RawRep2\
type bigWig 1.000000 71139.000000\
wgEncodeHaibMethylRrbsAg04449UwSitesRep1 AG04449 1 bed 9 + AG04449 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 21 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG04449 1\
subGroups cellType=t3AG04449 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAg04449UwSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayAg09319SimpleSignalRep2 AG09319 2 broadPeak AG09319 Exon array Signal Rep 2 from ENCODE/UW 0 21 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG09319 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG09319 2\
subGroups cellType=t3AG09319 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAg09319SimpleSignalRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_ctss_fwd AorticSmsToFgf2_00hr45minBr3+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_forward 0 21 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep3%20%28LK12%29.CNhs13571.12841-137B6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12841-137B6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_tpm_fwd AorticSmsToFgf2_00hr45minBr3+ bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_forward 1 21 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep3%20%28LK12%29.CNhs13571.12841-137B6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12841-137B6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6\
urlLabel FANTOM5 Details:\
dhcHumDerDenAncCcdsSynFixedDbSnp CC Syn FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Syn 3 21 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: CCDS Syn\
parent dhcHumDerDenAncCcds off\
shortLabel CC Syn FxS\
subGroups view=Ccds subset=CcdsZLast_Syn freq=FixedDbSnp\
track dhcHumDerDenAncCcdsSynFixedDbSnp\
pgNA12878CG CEU NA12878 pgSnp CEU pedigree 1463, NA12878 (Complete Genomics) 0 21 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU pedigree 1463, NA12878 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12878\
subGroups view=C_CG id=BF_12878 type=SNP\
track pgNA12878CG\
wgEncodeHaibGenotypeChorionRegionsRep1 Chorion 1 bed 9 + Chorion Copy number variants Replicate 1 from ENCODE/HAIB 0 21 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Chorion Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Chorion 1\
subGroups cellType=t3CHORION obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeChorionRegionsRep1\
type bed 9 +\
wgEncodeAwgDnaseDukeCllUniPk CLL DNase narrowPeak CLL DNaseI HS Uniform Peaks from ENCODE/Analysis 1 21 0 0 0 127 127 127 1 0 0 regulation 1 longLabel CLL DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel CLL DNase\
subGroups tier=a30 cellType=CLL\
track wgEncodeAwgDnaseDukeCllUniPk\
wgEncodeHaibMethyl450Ecc1SitesRep1 ECC-1 bed 9 ECC-1 Methylation 450K Bead Array from ENCODE/HAIB 1 21 0 0 0 127 127 127 0 0 0 regulation 1 longLabel ECC-1 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel ECC-1\
subGroups cellType=t3ECC1 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Ecc1SitesRep1\
type bed 9\
gtexEqtlTissueEsophagusMucosa esophagusMucosa bed 9 + Expression QTL in Esophagus_Mucosa from GTEx V6 0 21 139 115 85 197 185 170 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 139,115,85\
idInUrlSql select gene from gtexEqtlTissueEsophagusMucosa where name='%s'\
longLabel Expression QTL in Esophagus_Mucosa from GTEx V6\
parent gtexEqtlTissue on\
shortLabel esophagusMucosa\
track gtexEqtlTissueEsophagusMucosa\
wgEncodeAwgTfbsSydhGm12878Elk112771IggmusUniPk GM12878 ELK1 narrowPeak GM12878 TFBS Uniform Peaks of ELK1_(1277-1) from ENCODE/Stanford/Analysis 1 21 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ELK1_(1277-1) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ELK1\
subGroups tier=a10 cellType=a10GM12878 factor=ELK1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Elk112771IggmusUniPk\
wgEncodeBroadHistoneGm12878H3k36me3StdPk GM12878 H3K36m3 broadPeak GM12878 H3K36me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 21 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K36m3\
subGroups view=Peaks factor=H3K36ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k36me3StdPk\
type broadPeak\
wgEncodeHaibTfbsGm12878Bclaf101388V0416101PkRep1 GM78 BCLAF1 1 broadPeak GM12878 BCLAF1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 21 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCLAF1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCLAF1 1\
subGroups view=Peaks factor=BCLAF101388 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bclaf101388V0416101PkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaMinusRawSigRep1 GM78 cyt pA- - 1 bigWig 1.000000 6361835.000000 GM12878 cytosol polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 21 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 cyt pA- - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaMinusRawSigRep1\
type bigWig 1.000000 6361835.000000\
wgEncodeSydhTfbsGm12878Elk112771IggmusPk GM78 ELK1 IgM narrowPeak GM12878 ELK1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 21 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELK1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 ELK1 IgM\
subGroups view=Peaks factor=ELK112771 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Elk112771IggmusPk\
type narrowPeak\
wgEncodeRikenCageGm12878NucleusPapPlusSignalRep1 GM78 nucl pA+ + 1 bigWig 1.000000 255779.000000 GM12878 nucleus polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 21 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 nucl pA+ + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPapPlusSignalRep1\
type bigWig 1.000000 255779.000000\
wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapContigs GM78 nucl TAP C bed 6 GM12878 TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL 2 21 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel GM78 nucl TAP C\
subGroups view=Contigs cellType=t1GM12878 localization=NUCLEUS protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapContigs\
type bed 6\
wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep4V2 H1ES 2x75 A 4 bam H1-hESC 200 bp paired read RNA-seq Alignments Rep 4 from ENCODE/Caltech 0 21 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Alignments Rep 4 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 2x75 A 4\
subGroups view=Aligns cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep4 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200AlignsRep4V2\
type bam\
wgEncodeSydhHistoneHct116H3k27acUcdPk HCT-116 H3K27ac narrowPeak HCT-116 H3K27ac Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 21 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 H3K27ac Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel HCT-116 H3K27ac\
subGroups view=Peaks factor=H3K27AC cellType=cHCT116 control=UCD treatment=NONE\
track wgEncodeSydhHistoneHct116H3k27acUcdPk\
type narrowPeak\
wgEncodeDukeAffyExonHelas3Ifng4hSimpleSignalRep2V2 HeLa-S3 2 bigBed 6 + HeLa-S3 IFN-g 4 h Exon array Signal Rep 2 from ENCODE/Duke 0 21 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 IFN-g 4 h Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 2\
subGroups cellType=t2HELAS3 treatment=IFNG4H rep=rep2\
track wgEncodeDukeAffyExonHelas3Ifng4hSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeOpenChromFaireHelas3BaseOverlapSignal HeLa-S3 FAIRE OS bigWig 0.000000 2532.000000 HeLa-S3 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 21 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HeLa-S3 FAIRE OS\
subGroups view=SIGBO cellType=t2HELAS3 treatment=AANONE\
track wgEncodeOpenChromFaireHelas3BaseOverlapSignal\
type bigWig 0.000000 2532.000000\
wgEncodeUwRepliSeqHelas3G1bPctSignalRep1 HeLa-S3 G1b 1 bigWig 1.000000 100.000000 HeLa-S3 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 21 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 G1b 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqHelas3G1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStHepg2Elavl1RbpAssocRnaV2 HepG2 ELAVL1 broadPeak HepG2 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 21 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 ELAVL1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HepG2 ELAVL1\
subGroups cellType=t2HEPG2 factor=ELAVL1\
track wgEncodeSunyAlbanyGeneStHepg2Elavl1RbpAssocRnaV2\
type broadPeak\
snpArrayIlluminaHumanCytoSNP_12 Illumina Cyto-12 bed 6 + Illumina Human CytoSNP-12 0 21 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human CytoSNP-12\
parent genotypeArrays\
priority 21\
shortLabel Illumina Cyto-12\
track snpArrayIlluminaHumanCytoSNP_12\
type bed 6 +\
wgEncodeOpenChromChipK562CmycSig K562 cMyc DS bigWig 0.000000 1.981500 K562 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 21 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel K562 cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t1K562\
track wgEncodeOpenChromChipK562CmycSig\
type bigWig 0.000000 1.981500\
wgEncodeSunyRipSeqK562Elavl1AlnRep2 K562 ELAVL1 2 bam K562 ELAVL1 RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 21 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 ELAVL1 RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 ELAVL1 2\
subGroups view=Alignments factor=ELAVL1 cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562Elavl1AlnRep2\
type bam\
wgEncodeUwHistoneK562H3k4me3StdPkRep1 K562 H3K4M3 Pk 1 narrowPeak K562 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 21 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdPkRep1\
type narrowPeak\
wgEncodeGisRnaPetK562NucleolusTotalClustersRep1 K562 nlus tot 1 bed 6 + K562 nucleolus total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 21 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleolus total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 nlus tot 1\
subGroups view=v1Clusters cellType=aK562 cloned=Based localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleolusTotalClustersRep1\
type bed 6 +\
wgEncodeOpenChromDnaseK562SahactrlBaseOverlapSignal K562 SAHA Ctrl OS bigWig 0.000000 341.000000 K562 SAHA Control DNaseI HS Overlap Signal from ENCODE/Duke 2 21 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 SAHA Control DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel K562 SAHA Ctrl OS\
subGroups view=SIGBO cellType=t1K562 treatment=SAHACTRL\
track wgEncodeOpenChromDnaseK562SahactrlBaseOverlapSignal\
type bigWig 0.000000 341.000000\
wgEncodeUwDgfLhcnm2Diff4dHotspots LHCNM2 DIFF4d Hot broadPeak LHCN-M2 DIFF 4 d DNaseI DGF Hotspots from ENCODE/UW 0 21 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel LHCNM2 DIFF4d Hot\
subGroups view=Hotspots cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDgfLhcnm2Diff4dHotspots\
type broadPeak\
wgEncodeGisChiaPetMcf7Pol2InteractionsRep2 MCF7 Pol2 Int 2 bed 12 MCF-7 Pol2 ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan 2 21 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Pol2 ChIA-PET Interactions Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 Pol2 Int 2\
subGroups view=Interactions factor=POL2 cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7Pol2InteractionsRep2\
type bed 12\
wgEncodeAffyRnaChipFiltTransfragsKeratinocyteCytosolLongnonpolya NHEK cyto pA- broadPeak NHEK cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 21 179 0 134 217 127 194 0 0 0 expression 1 color 179,0,134\
longLabel NHEK cytosol polyA- Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel NHEK cyto pA-\
subGroups view=FiltTransfrags cellType=t3NHEK localization=bCYTOSOL rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsKeratinocyteCytosolLongnonpolya\
type broadPeak\
burgeRnaSeqGemMapperAlignBrainAllRawSignal RNA-seq Brain Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Brain, Raw Signal 2 21 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Brain, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal on\
shortLabel RNA-seq Brain Sig\
subGroups view=RawSignal tissueType=brain\
track burgeRnaSeqGemMapperAlignBrainAllRawSignal\
SeqCap_EZ_ExomeV3_Plus_UTR_hg19_primary_annotated SeqCap EZ V3 UTR T bigBed 4 Roche - SeqCap EZ Exome V3 + UTR Primary Target Regions 0 21 100 143 255 177 199 255 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/sorted-SeqCap_EZ_ExomeV3_Plus_UTR_hg19_primary_annotated.bb\
color 100,143,255\
longLabel Roche - SeqCap EZ Exome V3 + UTR Primary Target Regions\
parent exomeProbesets off\
shortLabel SeqCap EZ V3 UTR T\
track SeqCap_EZ_ExomeV3_Plus_UTR_hg19_primary_annotated\
type bigBed 4\
lincRNAsCTThyroid Thyroid bed 5 + lincRNAs from thyroid 1 21 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from thyroid\
parent lincRNAsAllCellType on\
shortLabel Thyroid\
subGroups view=lincRNAsRefseqExp tissueType=thyroid\
track lincRNAsCTThyroid\
netDanRer7 Zebrafish Net netAlign danRer7 chainDanRer7 Zebrafish (Jul. 2010 (Zv9/danRer7)) Alignment Net 1 22 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Zebrafish (Jul. 2010 (Zv9/danRer7)) Alignment Net\
otherDb danRer7\
parent vertebrateChainNetViewnet on\
shortLabel Zebrafish Net\
subGroups view=net species=s045 clade=c06\
track netDanRer7\
type netAlign danRer7 chainDanRer7\
netOviAri3 Sheep Net netAlign oviAri3 chainOviAri3 Sheep (Aug. 2012 (ISGC Oar_v3.1/oviAri3)) Alignment Net 1 22 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Sheep (Aug. 2012 (ISGC Oar_v3.1/oviAri3)) Alignment Net\
otherDb oviAri3\
parent placentalChainNetViewnet off\
shortLabel Sheep Net\
subGroups view=net species=s065c clade=c02\
track netOviAri3\
type netAlign oviAri3 chainOviAri3\
wgEncodeHaibRnaSeqA549Etoh02AlnRep1 A549 ETOH 1 bam A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 22 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 ETOH 1\
subGroups view=Alignments cellType=t2A549 treatment=ETOH02 rep=rep1\
track wgEncodeHaibRnaSeqA549Etoh02AlnRep1\
type bam\
encTfChipPkENCFF499OUD A549 JUND narrowPeak Transcription Factor ChIP-seq Peaks of JUND in A549 from ENCODE 3 (ENCFF499OUD) 1 22 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of JUND in A549 from ENCODE 3 (ENCFF499OUD)\
parent encTfChipPk off\
shortLabel A549 JUND\
subGroups cellType=A549 factor=JUND\
track encTfChipPkENCFF499OUD\
wgEncodeHaibMethylRrbsAg04449UwSitesRep2 AG04449 2 bed 9 + AG04449 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 22 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG04449 2\
subGroups cellType=t3AG04449 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAg04449UwSitesRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayAg10803SimpleSignalRep1 AG10803 1 broadPeak AG10803 Exon array Signal Rep 1 from ENCODE/UW 0 22 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG10803 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG10803 1\
subGroups cellType=t3AG10803 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAg10803SimpleSignalRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_ctss_rev AorticSmsToFgf2_00hr45minBr3- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_reverse 0 22 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep3%20%28LK12%29.CNhs13571.12841-137B6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12841-137B6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_00hr45minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_tpm_rev AorticSmsToFgf2_00hr45minBr3- bigWig Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_reverse 1 22 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2000hr45min%2c%20biol_rep3%20%28LK12%29.CNhs13571.12841-137B6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 00hr45min, biol_rep3 (LK12)_CNhs13571_12841-137B6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12841-137B6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_00hr45minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF200hr45minBiolRep3LK12_CNhs13571_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12841-137B6\
urlLabel FANTOM5 Details:\
dhcHumDerDenAncCcdsSynHighFreq CC Syn HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Syn 3 22 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: CCDS Syn\
parent dhcHumDerDenAncCcds off\
shortLabel CC Syn HiF\
subGroups view=Ccds subset=CcdsZLast_Syn freq=HighFreq\
track dhcHumDerDenAncCcdsSynHighFreq\
wgEncodeUwDnaseCd20ro01778HotspotsRep1 CD20+ Ht 1 broadPeak B cells CD20+ RO01778 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 22 0 0 0 127 127 127 0 0 0 regulation 1 longLabel B cells CD20+ RO01778 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel CD20+ Ht 1\
subGroups view=Hot cellType=t2BCELLSCD20RO01778 rep=rep1 treatment=None\
track wgEncodeUwDnaseCd20ro01778HotspotsRep1\
type broadPeak\
wgEncodeUwTfbsCd20ro01778InputStdRawRep1 CD20+78 In Sg 1 bigWig 1.000000 15457.000000 CD20+ RO01778 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 22 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ RO01778 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel CD20+78 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2BCELLSCD20RO01778 treatment=aNone rep=rep1\
track wgEncodeUwTfbsCd20ro01778InputStdRawRep1\
type bigWig 1.000000 15457.000000\
pgNA12878indel CEU NA12878 indel pgSnp CEU NA12878 indel (Complete Genomics) 0 22 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA12878 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12878 indel\
subGroups view=C_CG id=BF_12878 type=Indel\
track pgNA12878indel\
wgEncodeHaibGenotypeCmkRegionsRep2 CMK 1 bed 9 + CMK Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 22 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CMK Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel CMK 1\
subGroups cellType=t3CMK obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeCmkRegionsRep2\
type bed 9 +\
wgEncodeAwgDnaseUwCmkUniPk CMK DNase narrowPeak CMK DNaseI HS Uniform Peaks from ENCODE/Analysis 1 22 0 0 0 127 127 127 1 0 0 regulation 1 longLabel CMK DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel CMK DNase\
subGroups tier=a30 cellType=CMK\
track wgEncodeAwgDnaseUwCmkUniPk\
gtexEqtlTissueEsophagusMuscular esophagusMuscular bed 9 + Expression QTL in Esophagus_Muscularis from GTEx V6 0 22 205 170 125 230 212 190 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,170,125\
idInUrlSql select gene from gtexEqtlTissueEsophagusMuscular where name='%s'\
longLabel Expression QTL in Esophagus_Muscularis from GTEx V6\
parent gtexEqtlTissue on\
shortLabel esophagusMuscular\
track gtexEqtlTissueEsophagusMuscular\
wgEncodeHaibMethyl450Gm06990SitesRep1 GM06990 bed 9 GM06990 Methylation 450K Bead Array from ENCODE/HAIB 1 22 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM06990 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel GM06990\
subGroups cellType=t3GM06990 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Gm06990SitesRep1\
type bed 9\
wgEncodeAwgTfbsHaibGm12878P300Pcr1xUniPk GM12878 EP300 h narrowPeak GM12878 TFBS Uniform Peaks of p300 from ENCODE/HudsonAlpha/Analysis 1 22 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of p300 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EP300 h\
subGroups tier=a10 cellType=a10GM12878 factor=EP300 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878P300Pcr1xUniPk\
wgEncodeBroadHistoneGm12878H3k36me3StdSig GM12878 H3K36m3 bigWig 0.040000 11943.519531 GM12878 H3K36me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 22 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K36me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K36m3\
subGroups view=Signal factor=H3K36ME3 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k36me3StdSig\
type bigWig 0.040000 11943.519531\
wgEncodeHaibTfbsGm12878Bclaf101388V0416101RawRep1 GM78 BCLAF1 1 bigWig 0.183709 124.371002 GM12878 BCLAF1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 22 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCLAF1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCLAF1 1\
subGroups view=RawSignal factor=BCLAF101388 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Bclaf101388V0416101RawRep1\
type bigWig 0.183709 124.371002\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaMinusRawSigRep2 GM78 cyt pA- - 2 bigWig 1.000000 7751126.000000 GM12878 cytosol polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 22 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 cyt pA- - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 7751126.000000\
wgEncodeSydhTfbsGm12878Elk112771IggmusSig GM78 ELK1 IgM bigWig 1.000000 15938.000000 GM12878 ELK1 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 22 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ELK1 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 ELK1 IgM\
subGroups view=Signal factor=ELK112771 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Elk112771IggmusSig\
type bigWig 1.000000 15938.000000\
wgEncodeRikenCageGm12878NucleusPapPlusSignalRep2 GM78 nucl pA+ + 2 bigWig 1.000000 361501.000000 GM12878 nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 22 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 nucl pA+ + 2\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878NucleusPapPlusSignalRep2\
type bigWig 1.000000 361501.000000\
wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapMinusRawRep1 GM78 nucl TAP - 1 bigWig 1.000000 4227276.000000 GM12878 TAP-only nucleus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 22 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 nucl TAP - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapMinusRawRep1\
type bigWig 1.000000 4227276.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep1V4 H1ES 2x75 Sg 1 bigWig 0.022200 76510.914062 H1-hESC 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 22 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel H1ES 2x75 Sg 1\
subGroups view=Signal cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep1V4\
type bigWig 0.022200 76510.914062\
wgEncodeSydhHistoneHct116H3k27acUcdSig HCT-116 H3K27ac bigWig 1.000000 4605.000000 HCT-116 H3K27ac Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 22 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCT-116 H3K27ac Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel HCT-116 H3K27ac\
subGroups view=Signal factor=H3K27AC cellType=cHCT116 control=UCD treatment=NONE\
track wgEncodeSydhHistoneHct116H3k27acUcdSig\
type bigWig 1.000000 4605.000000\
wgEncodeOpenChromFaireHelas3Ifna4hPk HeLa IFa FAIRE Pk narrowPeak HeLa-S3 IFNa 4hr FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 22 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 IFNa 4hr FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HeLa IFa FAIRE Pk\
subGroups view=Peaks cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromFaireHelas3Ifna4hPk\
type narrowPeak\
wgEncodeDukeAffyExonHelas3SimpleSignalRep1V2 HeLa-S3 1 bigBed 6 + HeLa-S3 Exon array Signal Rep 1 from ENCODE/Duke 0 22 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 1\
subGroups cellType=t2HELAS3 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHelas3SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUwRepliSeqHelas3S1PctSignalRep1 HeLa-S3 S1 1 bigWig 1.000000 100.000000 HeLa-S3 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 22 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 S1 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqHelas3S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStHepg2Pabpc1RbpAssocRnaV2 HepG2 PABPC1 broadPeak HepG2 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 22 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 PABPC1 RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HepG2 PABPC1\
subGroups cellType=t2HEPG2 factor=PABPC1\
track wgEncodeSunyAlbanyGeneStHepg2Pabpc1RbpAssocRnaV2\
type broadPeak\
snpArrayIlluminaHuman660W_Quad Illumina 660W-Q bed 6 + Illumina Human 660W-Quad 0 22 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human 660W-Quad\
parent genotypeArrays\
priority 22\
shortLabel Illumina 660W-Q\
track snpArrayIlluminaHuman660W_Quad\
type bed 6 +\
snpArrayIlluminaHumanOmni1_Quad Illumina Omni1-Q bed 6 + Illumina Human Omni1-Quad 0 22 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina Human Omni1-Quad\
parent genotypeArrays\
priority 22\
shortLabel Illumina Omni1-Q\
track snpArrayIlluminaHumanOmni1_Quad\
type bed 6 +\
wgEncodeOpenChromChipK562CmycBaseOverlapSignal K562 cMyc OS bigWig 0.000000 1968.000000 K562 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 22 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel K562 cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t1K562\
track wgEncodeOpenChromChipK562CmycBaseOverlapSignal\
type bigWig 0.000000 1968.000000\
wgEncodeSunyRipSeqK562Elavl1Pk K562 ELAVL1 Pk broadPeak K562 ELAVL1 RIP-seq Analysis from ENCODE/SUNY 2 22 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 ELAVL1 RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks on\
shortLabel K562 ELAVL1 Pk\
subGroups view=Peaks factor=ELAVL1 cellType=t1K562 rep=Pooled\
track wgEncodeSunyRipSeqK562Elavl1Pk\
type broadPeak\
wgEncodeUwHistoneK562H3k4me3StdRawRep1 K562 H3K4M3 Sg 1 bigWig 1.000000 4646.000000 K562 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 22 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdRawRep1\
type bigWig 1.000000 4646.000000\
wgEncodeGisRnaPetK562NucleolusTotalMinusRawSigRep1 K562 nlus tot - 1 bigWig 1.000000 42871.000000 K562 nucleolus total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 22 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleolus total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 nlus tot - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Based localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleolusTotalMinusRawSigRep1\
type bigWig 1.000000 42871.000000\
wgEncodeOpenChromDnaseK562PkV2 K562 Pk narrowPeak K562 DNaseI HS Peaks from ENCODE/Duke 3 22 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks\
shortLabel K562 Pk\
subGroups view=Peaks cellType=t1K562 treatment=zNONE\
track wgEncodeOpenChromDnaseK562PkV2\
type narrowPeak\
wgEncodeUwDgfLhcnm2Hotspots LHCNM2 Hot broadPeak LHCN-M2 DNaseI DGF Hotspots from ENCODE/UW 0 22 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel LHCNM2 Hot\
subGroups view=Hotspots cellType=t2LHCNM2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfLhcnm2Hotspots\
type broadPeak\
phastConsElements46wayPlacental Mammal El bed 5 . Placental Mammal Conserved Elements 0 22 100 50 170 177 152 212 0 0 0 compGeno 1 color 100,50,170\
longLabel Placental Mammal Conserved Elements\
noInherit on\
parent cons46wayViewelements on\
priority 22\
shortLabel Mammal El\
subGroups view=elements clade=mammal\
track phastConsElements46wayPlacental\
type bed 5 .\
wgEncodeGisChiaPetMcf7Pol2SigRep2 MCF7 Pol2 Sig 2 bigWig 1.000000 7397.000000 MCF-7 Pol2 ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan 2 22 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Pol2 ChIA-PET Signal Rep 2 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 Pol2 Sig 2\
subGroups view=Signal factor=POL2 cellType=t2MCF7 rep=rep2\
track wgEncodeGisChiaPetMcf7Pol2SigRep2\
type bigWig 1.000000 7397.000000\
wgEncodeAffyRnaChipFiltTransfragsKeratinocyteCytosolLongpolya NHEK cyto pA+ broadPeak NHEK cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 22 179 0 134 217 127 194 0 0 0 expression 1 color 179,0,134\
longLabel NHEK cytosol polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
noInherit on\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel NHEK cyto pA+\
subGroups view=FiltTransfrags cellType=t3NHEK localization=bCYTOSOL rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsKeratinocyteCytosolLongpolya\
type broadPeak\
burgeRnaSeqGemMapperAlignBreastAllRawSignal RNA-seq Breast Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Breast, Raw Signal 2 22 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Breast, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal on\
shortLabel RNA-seq Breast Sig\
subGroups view=RawSignal tissueType=breast\
track burgeRnaSeqGemMapperAlignBreastAllRawSignal\
Agilent_Human_Exon_Clinical_Research_Covered SureSel. Clinical P bigBed Agilent - SureSelect Clinical Research Exome Covered by Probes 0 22 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S06588914_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect Clinical Research Exome Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. Clinical P\
track Agilent_Human_Exon_Clinical_Research_Covered\
type bigBed\
lincRNAsCTWhiteBloodCell WhiteBloodCell bed 5 + lincRNAs from whitebloodcell 1 22 0 60 120 127 157 187 1 0 0 genes 1 longLabel lincRNAs from whitebloodcell\
parent lincRNAsAllCellType on\
shortLabel WhiteBloodCell\
subGroups view=lincRNAsRefseqExp tissueType=whitebloodcell\
track lincRNAsCTWhiteBloodCell\
chainSusScr2 susScr2 Chain chain susScr2 Pig (Nov. 2009 (SGSC Sscrofa9.2/susScr2)) Chained Alignments 3 23 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Pig (Nov. 2009 (SGSC Sscrofa9.2/susScr2)) Chained Alignments\
otherDb susScr2\
parent placentalChainNetViewchain off\
shortLabel susScr2 Chain\
subGroups view=chain species=s071 clade=c02\
track chainSusScr2\
type chain susScr2\
chainGasAcu1 Stickleback Chain chain gasAcu1 Stickleback (Feb. 2006 (Broad/gasAcu1)) Chained Alignments 3 23 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Stickleback (Feb. 2006 (Broad/gasAcu1)) Chained Alignments\
otherDb gasAcu1\
parent vertebrateChainNetViewchain off\
shortLabel Stickleback Chain\
subGroups view=chain species=s049 clade=c06\
track chainGasAcu1\
type chain gasAcu1\
phastConsElements100way 100 Vert. El bed 5 . 100 vertebrates Conserved Elements 0 23 110 10 40 182 132 147 0 0 0 compGeno 1 color 110,10,40\
longLabel 100 vertebrates Conserved Elements\
noInherit on\
parent cons100wayViewelements off\
priority 23\
shortLabel 100 Vert. El\
subGroups view=elements clade=all\
track phastConsElements100way\
type bed 5 .\
wgEncodeHaibRnaSeqA549Etoh02RawRep2 A549 ETOH 2 bigWig 0.228926 1241.689941 A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 23 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 ETOH 2\
subGroups view=RawSignal cellType=t2A549 treatment=ETOH02 rep=rep2\
track wgEncodeHaibRnaSeqA549Etoh02RawRep2\
type bigWig 0.228926 1241.689941\
encTfChipPkENCFF044XMF A549 KDM1A narrowPeak Transcription Factor ChIP-seq Peaks of KDM1A in A549 from ENCODE 3 (ENCFF044XMF) 1 23 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of KDM1A in A549 from ENCODE 3 (ENCFF044XMF)\
parent encTfChipPk off\
shortLabel A549 KDM1A\
subGroups cellType=A549 factor=KDM1A\
track encTfChipPkENCFF044XMF\
wgEncodeHaibMethylRrbsAg04450UwSitesRep1 AG04450 1 bed 9 + AG04450 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 23 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG04450 1\
subGroups cellType=t3AG04450 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAg04450UwSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayAg10803SimpleSignalRep2 AG10803 2 broadPeak AG10803 Exon array Signal Rep 2 from ENCODE/UW 0 23 0 0 0 127 127 127 0 0 0 expression 1 longLabel AG10803 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AG10803 2\
subGroups cellType=t3AG10803 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAg10803SimpleSignalRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_ctss_fwd AorticSmsToFgf2_01hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_forward 0 23 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep1%20%28LK13%29.CNhs12741.12646-134G9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12646-134G9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_01hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_tpm_fwd AorticSmsToFgf2_01hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_forward 1 23 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep1%20%28LK13%29.CNhs12741.12646-134G9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12646-134G9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_01hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9\
urlLabel FANTOM5 Details:\
wgEncodeAwgDnaseUwCaco2UniPk Caco-2 DNase narrowPeak Caco-2 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 23 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Caco-2 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Caco-2 DNase\
subGroups tier=a30 cellType=Caco-2\
track wgEncodeAwgDnaseUwCaco2UniPk\
wgEncodeUwDnaseCd20ro01778PkRep1 CD20+ Pk 1 narrowPeak B cells CD20+ RO01778 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 23 0 0 0 127 127 127 0 0 0 regulation 1 longLabel B cells CD20+ RO01778 DNaseI HS Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel CD20+ Pk 1\
subGroups view=Peaks cellType=t2BCELLSCD20RO01778 rep=rep1 treatment=None\
track wgEncodeUwDnaseCd20ro01778PkRep1\
type narrowPeak\
wgEncodeUwTfbsCd20ro01794InputStdRawRep1 CD20+94 In Sg 1 bigWig 1.000000 15322.000000 CD20+ RO01794 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 23 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ RO01794 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel CD20+94 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2BCELLSCD20RO01794 treatment=aNone rep=rep1\
track wgEncodeUwTfbsCd20ro01794InputStdRawRep1\
type bigWig 1.000000 15322.000000\
pgNA12891CG CEU NA12891 pgSnp CEU pedigree 1463, NA12891 (Complete Genomics) 0 23 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU pedigree 1463, NA12891 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12891\
subGroups view=C_CG id=BG_12891 type=SNP\
track pgNA12891CG\
wgEncodeHaibGenotypeGm06990RegionsRep1 GM06990 1 bed 9 + GM06990 Copy number variants Replicate 1 from ENCODE/HAIB 0 23 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM06990 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel GM06990 1\
subGroups cellType=t3GM06990 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeGm06990RegionsRep1\
type bed 9 +\
wgEncodeAwgTfbsSydhGm12878P300IggmusUniPk GM12878 EP300 s narrowPeak GM12878 TFBS Uniform Peaks of p300 from ENCODE/Stanford/Analysis 1 23 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of p300 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EP300 s\
subGroups tier=a10 cellType=a10GM12878 factor=EP300 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878P300IggmusUniPk\
wgEncodeBroadHistoneGm12878H3k79me2StdPk GM12878 H3K79m2 broadPeak GM12878 H3K79me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 23 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H3K79me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H3K79m2\
subGroups view=Peaks factor=H3K79ME2 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k79me2StdPk\
type broadPeak\
wgEncodeHaibMethyl450Gm12891SitesRep1 GM12891 bed 9 GM12891 Methylation 450K Bead Array from ENCODE/HAIB 1 23 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12891 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel GM12891\
subGroups cellType=t3GM12891 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Gm12891SitesRep1\
type bed 9\
wgEncodeHaibTfbsGm12878Bclaf101388V0416101PkRep2 GM78 BCLAF1 2 broadPeak GM12878 BCLAF1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 23 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 BCLAF1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 BCLAF1 2\
subGroups view=Peaks factor=BCLAF101388 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bclaf101388V0416101PkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaPlusRawSigRep1 GM78 cyt pA- + 1 bigWig 1.000000 18182836.000000 GM12878 cytosol polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 23 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 cyt pA- + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaPlusRawSigRep1\
type bigWig 1.000000 18182836.000000\
wgEncodeSydhTfbsGm12878ErraIggrabPk GM78 ERRA IgR narrowPeak GM12878 ERRA IgG-rab ChIP-seq Peaks from ENCODE/SYDH 3 23 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ERRA IgG-rab ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 ERRA IgR\
subGroups view=Peaks factor=ERRA cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878ErraIggrabPk\
type narrowPeak\
wgEncodeRikenCageGm12878NucleusPapMinusSignalRep1 GM78 nucl pA+ - 1 bigWig 1.000000 110366.000000 GM12878 nucleus polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 23 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 nucl pA+ - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPapMinusSignalRep1\
type bigWig 1.000000 110366.000000\
wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapMinusRawRep2 GM78 nucl TAP - 2 bigWig 1.000000 9536975.000000 GM12878 TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 23 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel GM78 nucl TAP - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapMinusRawRep2\
type bigWig 1.000000 9536975.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep2V4 H1ES 2x75 Sg 2 bigWig 0.025000 89564.164062 H1-hESC 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 23 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel H1ES 2x75 Sg 2\
subGroups view=Signal cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep2V4\
type bigWig 0.025000 89564.164062\
wgEncodeSydhHistoneHct116InputUcdSig HCT-116 Input bigWig 1.000000 23558.000000 HCT-116 Input Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 23 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCT-116 Input Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel HCT-116 Input\
subGroups view=Signal factor=INPUT cellType=cHCT116 control=UCD treatment=NONE\
track wgEncodeSydhHistoneHct116InputUcdSig\
type bigWig 1.000000 23558.000000\
gtexEqtlTissueHeartAtrialAppend heartAtrialAppend bed 9 + Expression QTL in Heart_Atrial_Appendage from GTEx V6 0 23 180 82 205 217 168 230 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 180,82,205\
idInUrlSql select gene from gtexEqtlTissueHeartAtrialAppend where name='%s'\
longLabel Expression QTL in Heart_Atrial_Appendage from GTEx V6\
parent gtexEqtlTissue on\
shortLabel heartAtrialAppend\
track gtexEqtlTissueHeartAtrialAppend\
wgEncodeOpenChromFaireHelas3Ifna4hSig HeLa IFa FAIRE DS bigWig 0.000000 0.670000 HeLa-S3 IFNa 4hr FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 23 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFNa 4hr FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HeLa IFa FAIRE DS\
subGroups view=SIG cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromFaireHelas3Ifna4hSig\
type bigWig 0.000000 0.670000\
wgEncodeDukeAffyExonHelas3SimpleSignalRep2V2 HeLa-S3 2 bigBed 6 + HeLa-S3 Exon array Signal Rep 2 from ENCODE/Duke 0 23 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 2\
subGroups cellType=t2HELAS3 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHelas3SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUwRepliSeqHelas3S2PctSignalRep1 HeLa-S3 S2 1 bigWig 1.000000 100.000000 HeLa-S3 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 23 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 S2 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqHelas3S2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeSunyAlbanyGeneStHepg2T7tagRbpAssocRnaV2 HepG2 T7Tag broadPeak HepG2 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 23 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 T7Tag RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HepG2 T7Tag\
subGroups cellType=t2HEPG2 factor=T7Tag\
track wgEncodeSunyAlbanyGeneStHepg2T7tagRbpAssocRnaV2\
type broadPeak\
snpArrayIlluminaGDA Illumina GDA bed 6 + Illumina GDA 0 23 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Illumina GDA\
parent genotypeArrays\
priority 23\
shortLabel Illumina GDA\
track snpArrayIlluminaGDA\
type bed 6 +\
wgEncodeOpenChromChipK562CtcfPk K562 CTCF Pk narrowPeak K562 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 23 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel K562 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t1K562\
track wgEncodeOpenChromChipK562CtcfPk\
type narrowPeak\
wgEncodeOpenChromDnaseK562SigV2 K562 DS bigWig 0.000000 1.153500 K562 DNaseI HS Density Signal from ENCODE/Duke 2 23 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal\
shortLabel K562 DS\
subGroups view=SIG cellType=t1K562 treatment=zNONE\
track wgEncodeOpenChromDnaseK562SigV2\
type bigWig 0.000000 1.153500\
wgEncodeSunyRipSeqK562Elavl1SigRep1 K562 ELAVL1 1 bigWig 0.000000 64478.648438 K562 ELAVL1 RIP-seq Signal Rep 1 from ENCODE/SUNY 2 23 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 ELAVL1 RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 ELAVL1 1\
subGroups view=Signal factor=ELAVL1 cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562Elavl1SigRep1\
type bigWig 0.000000 64478.648438\
wgEncodeUwHistoneK562H3k4me3StdHotspotsRep2 K562 H3K4M3 Ht 2 broadPeak K562 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 23 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdHotspotsRep2\
type broadPeak\
wgEncodeGisRnaPetK562NucleolusTotalPlusRawSigRep1 K562 nlus tot + 1 bigWig 1.000000 24616.000000 K562 nucleolus total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 23 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleolus total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 nlus tot + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Based localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleolusTotalPlusRawSigRep1\
type bigWig 1.000000 24616.000000\
wgEncodeUwDgfLhcnm2Diff4dPk LHCNM2 DIFF4d Pk narrowPeak LHCN-M2 DIFF 4 d DNaseI DGF Peaks from ENCODE/UW 0 23 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel LHCNM2 DIFF4d Pk\
subGroups view=Peaks cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDgfLhcnm2Diff4dPk\
type narrowPeak\
wgEncodeGisChiaPetMcf7Pol2InteractionsRep3 MCF7 Pol2 Int 3 bed 12 MCF-7 Pol2 ChIA-PET Interactions Rep 3 from ENCODE/GIS-Ruan 2 23 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Pol2 ChIA-PET Interactions Rep 3 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 Pol2 Int 3\
subGroups view=Interactions factor=POL2 cellType=t2MCF7 rep=rep3\
track wgEncodeGisChiaPetMcf7Pol2InteractionsRep3\
type bed 12\
wgEncodeAffyRnaChipFiltTransfragsKeratinocyteNucleusLongnonpolya NHEK nucl pA- broadPeak NHEK nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 23 179 0 134 217 127 194 0 0 0 expression 1 color 179,0,134\
longLabel NHEK nucleus polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel NHEK nucl pA-\
subGroups view=FiltTransfrags cellType=t3NHEK localization=dNUCLEUS rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsKeratinocyteNucleusLongnonpolya\
type broadPeak\
dhcHumDerDenAncRegMotifHighInfoFixed RgMoHiInf Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: High Inf Pos in TFBP 3 23 230 60 0 242 157 127 0 0 0 denisova 1 color 230,60,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: High Inf Pos in TFBP\
parent dhcHumDerDenAncReg\
shortLabel RgMoHiInf Fxd\
subGroups view=Reg subset=DA_RegMotifHighInfo freq=Fixed\
track dhcHumDerDenAncRegMotifHighInfoFixed\
burgeRnaSeqGemMapperAlignColonAllRawSignal RNA-seq Colon Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Colon, Raw Signal 2 23 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Colon, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq Colon Sig\
subGroups view=RawSignal tissueType=colon\
track burgeRnaSeqGemMapperAlignColonAllRawSignal\
Agilent_Human_Exon_Clinical_Research_Regions SureSel. Clinical T bigBed Agilent - SureSelect Clinical Research Exome Target Regions 0 23 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S06588914_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect Clinical Research Exome Target Regions\
parent exomeProbesets off\
shortLabel SureSel. Clinical T\
track Agilent_Human_Exon_Clinical_Research_Regions\
type bigBed\
phastConsElements46way Vertebrate El bed 5 . Vertebrate Conserved Elements 0 23 170 100 50 212 177 152 0 0 0 compGeno 1 color 170,100,50\
longLabel Vertebrate Conserved Elements\
noInherit on\
parent cons46wayViewelements off\
priority 23\
shortLabel Vertebrate El\
subGroups view=elements clade=vert\
track phastConsElements46way\
type bed 5 .\
netSusScr2 susScr2 Net netAlign susScr2 chainSusScr2 Pig (Nov. 2009 (SGSC Sscrofa9.2/susScr2)) Alignment Net 1 24 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Pig (Nov. 2009 (SGSC Sscrofa9.2/susScr2)) Alignment Net\
otherDb susScr2\
parent placentalChainNetViewnet off\
shortLabel susScr2 Net\
subGroups view=net species=s071 clade=c02\
track netSusScr2\
type netAlign susScr2 chainSusScr2\
netGasAcu1 Stickleback Net netAlign gasAcu1 chainGasAcu1 Stickleback (Feb. 2006 (Broad/gasAcu1)) Alignment Net 1 24 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Stickleback (Feb. 2006 (Broad/gasAcu1)) Alignment Net\
otherDb gasAcu1\
parent vertebrateChainNetViewnet off\
shortLabel Stickleback Net\
subGroups view=net species=s049 clade=c06\
track netGasAcu1\
type netAlign gasAcu1 chainGasAcu1\
wgEncodeHaibRnaSeqA549Etoh02AlnRep2 A549 ETOH 2 bam A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 24 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 ETOH 2\
subGroups view=Alignments cellType=t2A549 treatment=ETOH02 rep=rep2\
track wgEncodeHaibRnaSeqA549Etoh02AlnRep2\
type bam\
encTfChipPkENCFF397TFF A549 KDM5A narrowPeak Transcription Factor ChIP-seq Peaks of KDM5A in A549 from ENCODE 3 (ENCFF397TFF) 1 24 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of KDM5A in A549 from ENCODE 3 (ENCFF397TFF)\
parent encTfChipPk off\
shortLabel A549 KDM5A\
subGroups cellType=A549 factor=KDM5A\
track encTfChipPkENCFF397TFF\
wgEncodeHaibMethylRrbsAg04450UwSitesRep2 AG04450 2 bed 9 + AG04450 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 24 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG04450 2\
subGroups cellType=t3AG04450 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAg04450UwSitesRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayAoafSimpleSignalRep1 AoAF 1 broadPeak AoAF Exon array Signal Rep 1 from ENCODE/UW 0 24 0 0 0 127 127 127 0 0 0 expression 1 longLabel AoAF Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AoAF 1\
subGroups cellType=t3AOAF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayAoafSimpleSignalRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_ctss_rev AorticSmsToFgf2_01hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_reverse 0 24 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep1%20%28LK13%29.CNhs12741.12646-134G9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12646-134G9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_01hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_tpm_rev AorticSmsToFgf2_01hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_reverse 1 24 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep1%20%28LK13%29.CNhs12741.12646-134G9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep1 (LK13)_CNhs12741_12646-134G9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12646-134G9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_01hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep1LK13_CNhs12741_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12646-134G9\
urlLabel FANTOM5 Details:\
wgEncodeUwDnaseCd20ro01778RawRep1 CD20+ Sg 1 bigWig 1.000000 17468.000000 B cells CD20+ RO01778 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 24 0 0 0 127 127 127 0 0 0 regulation 0 longLabel B cells CD20+ RO01778 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel CD20+ Sg 1\
subGroups view=zRSig cellType=t2BCELLSCD20RO01778 rep=rep1 treatment=None\
track wgEncodeUwDnaseCd20ro01778RawRep1\
type bigWig 1.000000 17468.000000\
pgNA12891indel CEU NA12891 indel pgSnp CEU NA12891 indel (Complete Genomics) 0 24 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA12891 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12891 indel\
subGroups view=C_CG id=BG_12891 type=Indel\
track pgNA12891indel\
wgEncodeAwgDnaseDukeChorionUniPk Chorion DNase narrowPeak Chorion DNaseI HS Uniform Peaks from ENCODE/Analysis 1 24 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Chorion DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Chorion DNase\
subGroups tier=a30 cellType=Chorion\
track wgEncodeAwgDnaseDukeChorionUniPk\
wgEncodeAwgTfbsSydhGm12878P300bUniPk GM12878 EP300 s2 narrowPeak GM12878 TFBS Uniform Peaks of p300_(SC-584) from ENCODE/Stanford/Analysis 1 24 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of p300_(SC-584) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EP300 s2\
subGroups tier=a10 cellType=a10GM12878 factor=EP300 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878P300bUniPk\
wgEncodeBroadHistoneGm12878H3k79me2StdSig GM12878 H3K79m2 bigWig 0.040000 2011.920044 GM12878 H3K79me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 24 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H3K79me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H3K79m2\
subGroups view=Signal factor=H3K79ME2 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H3k79me2StdSig\
type bigWig 0.040000 2011.920044\
wgEncodeHaibGenotypeGm12891RegionsRep2 GM12891 1 bed 9 + GM12891 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 24 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM12891 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel GM12891 1\
subGroups cellType=t3GM12891 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeGm12891RegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450Gm12892SitesRep1 GM12892 bed 9 GM12892 Methylation 450K Bead Array from ENCODE/HAIB 1 24 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12892 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel GM12892\
subGroups cellType=t3GM12892 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Gm12892SitesRep1\
type bed 9\
wgEncodeHaibTfbsGm12878Bclaf101388V0416101RawRep2 GM78 BCLAF1 2 bigWig 0.150221 104.178001 GM12878 BCLAF1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 24 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 BCLAF1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 BCLAF1 2\
subGroups view=RawSignal factor=BCLAF101388 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Bclaf101388V0416101RawRep2\
type bigWig 0.150221 104.178001\
wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaPlusRawSigRep2 GM78 cyt pA- + 2 bigWig 1.000000 24327980.000000 GM12878 cytosol polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 24 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 cyt pA- + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 24327980.000000\
wgEncodeSydhTfbsGm12878ErraIggrabSig GM78 ERRA IgR bigWig 1.000000 528.000000 GM12878 ERRA IgG-rab ChIP-seq Signal from ENCODE/SYDH 2 24 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ERRA IgG-rab ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 ERRA IgR\
subGroups view=Signal factor=ERRA cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878ErraIggrabSig\
type bigWig 1.000000 528.000000\
wgEncodeRikenCageGm12878NucleusPapMinusSignalRep2 GM78 nucl pA+ - 2 bigWig 1.000000 106130.000000 GM12878 nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 24 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 nucl pA+ - 2\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878NucleusPapMinusSignalRep2\
type bigWig 1.000000 106130.000000\
wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapPlusRawRep1 GM78 nucl TAP + 1 bigWig 1.000000 805250.000000 GM12878 TAP-only nucleus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 24 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 nucl TAP + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapPlusRawRep1\
type bigWig 1.000000 805250.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep3V4 H1ES 2x75 Sg 3 bigWig 0.024300 98884.000000 H1-hESC 200 bp paired read RNA-seq Signal Rep 3 from ENCODE/Caltech 2 24 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Signal Rep 3 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel H1ES 2x75 Sg 3\
subGroups view=Signal cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep3 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep3V4\
type bigWig 0.024300 98884.000000\
gtexEqtlTissueHeartLeftVentricl heartLeftVentricl bed 9 + Expression QTL in Heart_Left_Ventricle from GTEx V6 0 24 122 55 139 188 155 197 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 122,55,139\
idInUrlSql select gene from gtexEqtlTissueHeartLeftVentricl where name='%s'\
longLabel Expression QTL in Heart_Left_Ventricle from GTEx V6\
parent gtexEqtlTissue on\
shortLabel heartLeftVentricl\
track gtexEqtlTissueHeartLeftVentricl\
wgEncodeOpenChromFaireHelas3Ifna4hBaseOverlapSignal HeLa IFa FAIRE OS bigWig 0.000000 1431.000000 HeLa-S3 IFNa 4hr FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 24 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFNa 4hr FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HeLa IFa FAIRE OS\
subGroups view=SIGBO cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromFaireHelas3Ifna4hBaseOverlapSignal\
type bigWig 0.000000 1431.000000\
wgEncodeDukeAffyExonHelas3SimpleSignalRep3V2 HeLa-S3 3 bigBed 6 + HeLa-S3 Exon array Signal Rep 3 from ENCODE/Duke 0 24 0 119 158 127 187 206 1 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HeLa-S3 3\
subGroups cellType=t2HELAS3 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonHelas3SimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeUwRepliSeqHelas3S3PctSignalRep1 HeLa-S3 S3 1 bigWig 1.000000 100.000000 HeLa-S3 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 24 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 S3 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqHelas3S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwTfbsHelas3CtcfStdHotspotsRep1 HeLaS3 CTCF Ht 1 broadPeak HeLa-S3 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 24 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HeLaS3 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t2HELAS3 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeSunyAlbanyGeneStHepg2RipinputRbpAssocRnaV2 HepG2 RIP-Input broadPeak HepG2 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY 0 24 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 RIP-Input RBP Associated RNA by RIP-chip GeneST from ENCODE/SUNY\
origAssembly hg18\
parent wgEncodeSunyAlbanyGeneSt off\
shortLabel HepG2 RIP-Input\
subGroups cellType=t2HEPG2 factor=ripInput\
track wgEncodeSunyAlbanyGeneStHepg2RipinputRbpAssocRnaV2\
type broadPeak\
snpArrayIllumina450k Illumina 450k bigBed 4 Illumina 450k Methylation Array 0 24 0 0 0 127 127 127 0 0 0 varRep 1 bigDataUrl /gbdb/hg19/bbi/illumina/illumina450K.bb\
longLabel Illumina 450k Methylation Array\
parent genotypeArrays\
priority 24\
shortLabel Illumina 450k\
track snpArrayIllumina450k\
type bigBed 4\
wgEncodeOpenChromChipK562CtcfSig K562 CTCF DS bigWig 0.000000 6.820800 K562 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 24 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel K562 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t1K562\
track wgEncodeOpenChromChipK562CtcfSig\
type bigWig 0.000000 6.820800\
wgEncodeSunyRipSeqK562Elavl1SigRep2 K562 ELAVL1 2 bigWig 0.000000 65775.945312 K562 ELAVL1 RIP-seq Signal Rep 2 from ENCODE/SUNY 2 24 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 ELAVL1 RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 ELAVL1 2\
subGroups view=Signal factor=ELAVL1 cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562Elavl1SigRep2\
type bigWig 0.000000 65775.945312\
wgEncodeUwHistoneK562H3k4me3StdPkRep2 K562 H3K4M3 Pk 2 narrowPeak K562 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 24 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdPkRep2\
type narrowPeak\
wgEncodeGisRnaPetK562NucleolusTotalAlnRep1 K562 nlus tot A 1 bam K562 nucleolus total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 24 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleolus total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 nlus tot A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Based localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleolusTotalAlnRep1\
type bam\
wgEncodeOpenChromDnaseK562BaseOverlapSignalV2 K562 OS bigWig 0.000000 352.000000 K562 DNaseI HS Overlap Signal from ENCODE/Duke 2 24 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo\
shortLabel K562 OS\
subGroups view=SIGBO cellType=t1K562 treatment=zNONE\
track wgEncodeOpenChromDnaseK562BaseOverlapSignalV2\
type bigWig 0.000000 352.000000\
wgEncodeUwDgfLhcnm2Pk LHCNM2 Pk narrowPeak LHCN-M2 DNaseI DGF Peaks from ENCODE/UW 0 24 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel LHCNM2 Pk\
subGroups view=Peaks cellType=t2LHCNM2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfLhcnm2Pk\
type narrowPeak\
wgEncodeGisChiaPetMcf7Pol2SigRep3 MCF7 Pol2 Sig 3 bigWig 1.000000 3269.000000 MCF-7 Pol2 ChIA-PET Signal Rep 3 from ENCODE/GIS-Ruan 2 24 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Pol2 ChIA-PET Signal Rep 3 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 Pol2 Sig 3\
subGroups view=Signal factor=POL2 cellType=t2MCF7 rep=rep3\
track wgEncodeGisChiaPetMcf7Pol2SigRep3\
type bigWig 1.000000 3269.000000\
wgEncodeAffyRnaChipFiltTransfragsKeratinocyteNucleusLongpolya NHEK nucl pA+ broadPeak NHEK nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 24 179 0 134 217 127 194 0 0 0 expression 1 color 179,0,134\
longLabel NHEK nucleus polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel NHEK nucl pA+\
subGroups view=FiltTransfrags cellType=t3NHEK localization=dNUCLEUS rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsKeratinocyteNucleusLongpolya\
type broadPeak\
wgEncodeSydhHistoneNt2d1H3k4me1UcdPk NT2-D1 H3K4me1 narrowPeak NT2D1 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 24 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel NT2-D1 H3K4me1\
subGroups view=Peaks factor=H3K04ME1 cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k4me1UcdPk\
type narrowPeak\
dhcHumDerDenAncRegMotifHighInfoFixedDbSnp RgMoHiInf FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: High Inf Pos in TFBP 3 24 230 60 0 242 157 127 0 0 0 denisova 1 color 230,60,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: High Inf Pos in TFBP\
parent dhcHumDerDenAncReg\
shortLabel RgMoHiInf FxS\
subGroups view=Reg subset=DA_RegMotifHighInfo freq=FixedDbSnp\
track dhcHumDerDenAncRegMotifHighInfoFixedDbSnp\
burgeRnaSeqGemMapperAlignHeartAllRawSignal RNA-seq Heart Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Heart, Raw Signal 2 24 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Heart, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal on\
shortLabel RNA-seq Heart Sig\
subGroups view=RawSignal tissueType=heart\
track burgeRnaSeqGemMapperAlignHeartAllRawSignal\
Agilent_Human_Exon_Clinical_Research_V2_Covered SureSel. Clinical V2 P bigBed Agilent - SureSelect Clinical Research Exome V2 Covered by Probes 0 24 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S30409818_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect Clinical Research Exome V2 Covered by Probes\
parent exomeProbesets on\
shortLabel SureSel. Clinical V2 P\
track Agilent_Human_Exon_Clinical_Research_V2_Covered\
type bigBed\
chainOryLat2 Medaka Chain chain oryLat2 Medaka (Oct. 2005 (NIG/UT MEDAKA1/oryLat2)) Chained Alignments 3 25 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Medaka (Oct. 2005 (NIG/UT MEDAKA1/oryLat2)) Chained Alignments\
otherDb oryLat2\
parent vertebrateChainNetViewchain off\
shortLabel Medaka Chain\
subGroups view=chain species=s051 clade=c06\
track chainOryLat2\
type chain oryLat2\
chainVicPac2 Alpaca Chain chain vicPac2 Alpaca (Mar. 2013 (Vicugna_pacos-2.0.1/vicPac2)) Chained Alignments 3 25 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Alpaca (Mar. 2013 (Vicugna_pacos-2.0.1/vicPac2)) Chained Alignments\
otherDb vicPac2\
parent placentalChainNetViewchain off\
shortLabel Alpaca Chain\
subGroups view=chain species=s075 clade=c02\
track chainVicPac2\
type chain vicPac2\
wgEncodeHaibRnaSeqA549Etoh02RawRep3 A549 ETOH 3 bigWig 0.115095 1155.819946 A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 3 from ENCODE/HAIB 2 25 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 3 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 ETOH 3\
subGroups view=RawSignal cellType=t2A549 treatment=ETOH02 rep=rep3\
track wgEncodeHaibRnaSeqA549Etoh02RawRep3\
type bigWig 0.115095 1155.819946\
encTfChipPkENCFF530ZTE A549 MAFK narrowPeak Transcription Factor ChIP-seq Peaks of MAFK in A549 from ENCODE 3 (ENCFF530ZTE) 1 25 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of MAFK in A549 from ENCODE 3 (ENCFF530ZTE)\
parent encTfChipPk off\
shortLabel A549 MAFK\
subGroups cellType=A549 factor=MAFK\
track encTfChipPkENCFF530ZTE\
wgEncodeOpenChromDnaseA549Pk A549 Pk narrowPeak A549 DNaseI HS Peaks from ENCODE/Duke 3 25 0 0 0 127 127 127 1 0 0 regulation 1 longLabel A549 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel A549 Pk\
subGroups view=Peaks cellType=t2A549 treatment=zNONE\
track wgEncodeOpenChromDnaseA549Pk\
type narrowPeak\
wgEncodeHaibMethylRrbsAg09309UwSitesRep1 AG09309 1 bed 9 + AG09309 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 25 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG09309 1\
subGroups cellType=t3AG09309 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAg09309UwSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayAoafSimpleSignalRep2 AoAF 2 broadPeak AoAF Exon array Signal Rep 2 from ENCODE/UW 0 25 0 0 0 127 127 127 0 0 0 expression 1 longLabel AoAF Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel AoAF 2\
subGroups cellType=t3AOAF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayAoafSimpleSignalRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_ctss_fwd AorticSmsToFgf2_01hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_forward 0 25 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep3%20%28LK15%29.CNhs13683.12842-137B7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12842-137B7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_01hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_tpm_fwd AorticSmsToFgf2_01hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_forward 1 25 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep3%20%28LK15%29.CNhs13683.12842-137B7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12842-137B7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_01hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7\
urlLabel FANTOM5 Details:\
wgEncodeUwDnaseCd20ro01778HotspotsRep2 CD20+ Ht 2 broadPeak B cells CD20+ RO01778 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 25 0 0 0 127 127 127 0 0 0 regulation 1 longLabel B cells CD20+ RO01778 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel CD20+ Ht 2\
subGroups view=Hot cellType=t2BCELLSCD20RO01778 rep=rep2 treatment=None\
track wgEncodeUwDnaseCd20ro01778HotspotsRep2\
type broadPeak\
pgNA12892CG CEU NA12892 pgSnp CEU pedigree 1463, NA12892 (Complete Genomics) 0 25 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU pedigree 1463, NA12892 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12892\
subGroups view=C_CG id=BH_12892 type=SNP\
track pgNA12892CG\
wgEncodeAwgDnaseDukeFibropUniPk FibroP DNase narrowPeak FibroP DNaseI HS Uniform Peaks from ENCODE/Analysis 1 25 0 0 0 127 127 127 1 0 0 regulation 1 longLabel FibroP DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel FibroP DNase\
subGroups tier=a30 cellType=FibroP\
track wgEncodeAwgDnaseDukeFibropUniPk\
wgEncodeAwgTfbsHaibGm12878Ets1Pcr1xUniPk GM12878 ETS1 narrowPeak GM12878 TFBS Uniform Peaks of ETS1 from ENCODE/HudsonAlpha/Analysis 1 25 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ETS1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ETS1\
subGroups tier=a10 cellType=a10GM12878 factor=ETS1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Ets1Pcr1xUniPk\
wgEncodeBroadHistoneGm12878H4k20me1StdPk GM12878 H4K20m1 broadPeak GM12878 H4K20me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 25 153 38 0 204 146 127 1 0 0 regulation 1 color 153,38,0\
longLabel GM12878 H4K20me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel GM12878 H4K20m1\
subGroups view=Peaks factor=H4K20ME1 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H4k20me1StdPk\
type broadPeak\
wgEncodeHaibGenotypeGm12892RegionsRep2 GM12892 1 bed 9 + GM12892 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 25 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM12892 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel GM12892 1\
subGroups cellType=t3GM12892 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeGm12892RegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450Gm19239SitesRep1 GM19239 bed 9 GM19239 Methylation 450K Bead Array from ENCODE/HAIB 1 25 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19239 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel GM19239\
subGroups cellType=t3GM19239 obtainedBy=DUKE treatment=zNONE\
track wgEncodeHaibMethyl450Gm19239SitesRep1\
type bed 9\
wgEncodeHaibTfbsGm12878Cebpbsc150V0422111PkRep1 GM78 CEBPB V11 1 broadPeak GM12878 CEBPB v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 25 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CEBPB v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 CEBPB V11 1\
subGroups view=Peaks factor=CEBPB cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Cebpbsc150V0422111PkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolPapAlnRep1 GM78 cyt pA+ A 1 bam GM12878 cytosol polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 25 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cyt pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapAlnRep1\
type bam\
wgEncodeSydhTfbsGm12878Gcn5StdPk GM78 GCN5 Std narrowPeak GM12878 GCN5 Standard ChIP-seq Peaks from ENCODE/SYDH 3 25 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 GCN5 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 GCN5 Std\
subGroups view=Peaks factor=GCN5 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Gcn5StdPk\
type narrowPeak\
wgEncodeRikenCageGm12878NucleusPapAlnRep1 GM78 nucl pA+ A 1 bam GM12878 nucleus polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 25 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 nucl pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878NucleusPapAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapPlusRawRep2 GM78 nucl TAP + 2 bigWig 1.000000 647158.000000 GM12878 TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 25 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel GM78 nucl TAP + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqGm12878NucleusShorttotalTapPlusRawRep2\
type bigWig 1.000000 647158.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep4V4 H1ES 2x75 Sg 4 bigWig 0.023800 73808.031250 H1-hESC 200 bp paired read RNA-seq Signal Rep 4 from ENCODE/Caltech 2 25 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Signal Rep 4 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel H1ES 2x75 Sg 4\
subGroups view=Signal cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep4 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il200SigRep4V4\
type bigWig 0.023800 73808.031250\
wgEncodeOpenChromFaireHelas3Ifng4hPk HeLa IFg FAIRE Pk narrowPeak HeLa-S3 IFNg 4hr FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 25 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 IFNg 4hr FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HeLa IFg FAIRE Pk\
subGroups view=Peaks cellType=t2HELAS3 treatment=IFNg4h\
track wgEncodeOpenChromFaireHelas3Ifng4hPk\
type narrowPeak\
wgEncodeUwRepliSeqHelas3S4PctSignalRep1 HeLa-S3 S4 1 bigWig 1.000000 100.000000 HeLa-S3 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 25 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 S4 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqHelas3S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwTfbsHelas3CtcfStdPkRep1 HeLaS3 CTCF Pk 1 narrowPeak HeLa-S3 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 25 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HeLaS3 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t2HELAS3 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdPkRep1\
type narrowPeak\
wgEncodeDukeAffyExonHepg2SimpleSignalRep1V2 HepG2 1 bigBed 6 + HepG2 Exon array Signal Rep 1 from ENCODE/Duke 0 25 189 0 157 222 127 206 1 0 0 expression 1 color 189,0,157\
longLabel HepG2 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HepG2 1\
subGroups cellType=t2HEPG2 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHepg2SimpleSignalRep1V2\
type bigBed 6 +\
snpArrayIllumina850k Illumina 850k bigBed 4 Illumina 850k EPIC Methylation Array 0 25 0 0 0 127 127 127 0 0 0 varRep 1 bigDataUrl /gbdb/hg19/bbi/illumina/epic850K.bb\
longLabel Illumina 850k EPIC Methylation Array\
parent genotypeArrays\
priority 25\
shortLabel Illumina 850k\
track snpArrayIllumina850k\
type bigBed 4\
wgEncodeOpenChromChipK562CtcfBaseOverlapSignal K562 CTCF OS bigWig 0.000000 3149.000000 K562 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 25 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel K562 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t1K562\
track wgEncodeOpenChromChipK562CtcfBaseOverlapSignal\
type bigWig 0.000000 3149.000000\
wgEncodeUwHistoneK562H3k4me3StdRawRep2 K562 H3K4M3 Sg 2 bigWig 1.000000 4241.000000 K562 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 25 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k4me3StdRawRep2\
type bigWig 1.000000 4241.000000\
wgEncodeGisRnaPetK562NucleoplasmTotalClustersRep1 K562 nplm tot 1 bed 6 + K562 nucleoplasm total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 25 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleoplasm total clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 nplm tot 1\
subGroups view=v1Clusters cellType=aK562 cloned=Based localization=nucleoplasm rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleoplasmTotalClustersRep1\
type bed 6 +\
wgEncodeSunyRipSeqK562Pabpc1AlnRep1 K562 PABPC1 1 bam K562 PABPC1 RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 25 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 PABPC1 RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 PABPC1 1\
subGroups view=Alignments factor=PABPC1 cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562Pabpc1AlnRep1\
type bam\
wgEncodeUwDgfLhcnm2Diff4dSig LHCNM2 DIFF4d Sig bigWig 1.000000 102421.000000 LHCN-M2 DIFF 4 d DNaseI DGF Per-base Signal from ENCODE/UW 2 25 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DIFF 4 d DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel LHCNM2 DIFF4d Sig\
subGroups view=Signal cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDgfLhcnm2Diff4dSig\
type bigWig 1.000000 102421.000000\
gtexEqtlTissueLiver liver bed 9 + Expression QTL in Liver from GTEx V6 0 25 205 183 158 230 219 206 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,183,158\
idInUrlSql select gene from gtexEqtlTissueLiver where name='%s'\
longLabel Expression QTL in Liver from GTEx V6\
parent gtexEqtlTissue on\
shortLabel liver\
track gtexEqtlTissueLiver\
wgEncodeGisChiaPetMcf7Pol2InteractionsRep4 MCF7 Pol2 Int 4 bed 12 MCF-7 Pol2 ChIA-PET Interactions Rep 4 from ENCODE/GIS-Ruan 2 25 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Pol2 ChIA-PET Interactions Rep 4 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel MCF7 Pol2 Int 4\
subGroups view=Interactions factor=POL2 cellType=t2MCF7 rep=rep4\
track wgEncodeGisChiaPetMcf7Pol2InteractionsRep4\
type bed 12\
wgEncodeSydhHistoneNt2d1H3k4me1UcdSig NT2-D1 H3K4me1 bigWig 1.000000 6506.000000 NT2D1 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 25 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel NT2-D1 H3K4me1\
subGroups view=Signal factor=H3K04ME1 cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k4me1UcdSig\
type bigWig 1.000000 6506.000000\
wgEncodeAffyRnaChipFiltTransfragsProstateCellLongnonpolya Prostate cell pA- broadPeak Prostate whole cell polyA- Microarray Transfrags from ENCODE Affy/CSHL 3 25 0 102 136 127 178 195 0 0 0 expression 1 color 0,102,136\
longLabel Prostate whole cell polyA- Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel Prostate cell pA-\
subGroups view=FiltTransfrags cellType=t3PROSTATE localization=aCELL rnaExtract=longNonPolyA\
track wgEncodeAffyRnaChipFiltTransfragsProstateCellLongnonpolya\
type broadPeak\
dhcHumDerDenAncRegMotifHighInfoHighFreq RgMoHiInf HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: High Inf Pos in TFBP 3 25 230 60 0 242 157 127 0 0 0 denisova 1 color 230,60,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: High Inf Pos in TFBP\
parent dhcHumDerDenAncReg\
shortLabel RgMoHiInf HiF\
subGroups view=Reg subset=DA_RegMotifHighInfo freq=HighFreq\
track dhcHumDerDenAncRegMotifHighInfoHighFreq\
burgeRnaSeqGemMapperAlignLiverAllRawSignal RNA-seq Liver Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Liver, Raw Signal 2 25 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Liver, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq Liver Sig\
subGroups view=RawSignal tissueType=liver\
track burgeRnaSeqGemMapperAlignLiverAllRawSignal\
Agilent_Human_Exon_Clinical_Research_V2_Regions SureSel. Clinical V2 T bigBed Agilent - SureSelect Clinical Research Exome V2 Target 0 25 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S30409818_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect Clinical Research Exome V2 Target\
parent exomeProbesets on\
shortLabel SureSel. Clinical V2 T\
track Agilent_Human_Exon_Clinical_Research_V2_Regions\
type bigBed\
netOryLat2 Medaka Net netAlign oryLat2 chainOryLat2 Medaka (Oct. 2005 (NIG/UT MEDAKA1/oryLat2)) Alignment Net 1 26 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Medaka (Oct. 2005 (NIG/UT MEDAKA1/oryLat2)) Alignment Net\
otherDb oryLat2\
parent vertebrateChainNetViewnet off\
shortLabel Medaka Net\
subGroups view=net species=s051 clade=c06\
track netOryLat2\
type netAlign oryLat2 chainOryLat2\
netVicPac2 Alpaca Net netAlign vicPac2 chainVicPac2 Alpaca (Mar. 2013 (Vicugna_pacos-2.0.1/vicPac2)) Alignment Net 1 26 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Alpaca (Mar. 2013 (Vicugna_pacos-2.0.1/vicPac2)) Alignment Net\
otherDb vicPac2\
parent placentalChainNetViewnet off\
shortLabel Alpaca Net\
subGroups view=net species=s075 clade=c02\
track netVicPac2\
type netAlign vicPac2 chainVicPac2\
wgEncodeOpenChromDnaseA549Sig A549 DS bigWig 0.000000 0.892200 A549 DNaseI HS Density Signal from ENCODE/Duke 2 26 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel A549 DS\
subGroups view=SIG cellType=t2A549 treatment=zNONE\
track wgEncodeOpenChromDnaseA549Sig\
type bigWig 0.000000 0.892200\
wgEncodeHaibRnaSeqA549Etoh02AlnRep3 A549 ETOH 3 bam A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 3 from ENCODE/HAIB 0 26 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 3 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 ETOH 3\
subGroups view=Alignments cellType=t2A549 treatment=ETOH02 rep=rep3\
track wgEncodeHaibRnaSeqA549Etoh02AlnRep3\
type bam\
encTfChipPkENCFF502JKO A549 MYC narrowPeak Transcription Factor ChIP-seq Peaks of MYC in A549 from ENCODE 3 (ENCFF502JKO) 1 26 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of MYC in A549 from ENCODE 3 (ENCFF502JKO)\
parent encTfChipPk off\
shortLabel A549 MYC\
subGroups cellType=A549 factor=MYC\
track encTfChipPkENCFF502JKO\
wgEncodeHaibMethylRrbsAg09309UwSitesRep2 AG09309 2 bed 9 + AG09309 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 26 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG09309 2\
subGroups cellType=t3AG09309 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAg09309UwSitesRep2\
type bed 9 +\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_ctss_rev AorticSmsToFgf2_01hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_reverse 0 26 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep3%20%28LK15%29.CNhs13683.12842-137B7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12842-137B7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_01hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_tpm_rev AorticSmsToFgf2_01hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_reverse 1 26 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2001hr%2c%20biol_rep3%20%28LK15%29.CNhs13683.12842-137B7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 01hr, biol_rep3 (LK15)_CNhs13683_12842-137B7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12842-137B7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_01hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF201hrBiolRep3LK15_CNhs13683_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12842-137B7\
urlLabel FANTOM5 Details:\
wgEncodeUwAffyExonArrayBe2cSimpleSignalRep1 BE2_C 1 broadPeak BE2_C Exon array Signal Rep 1 from ENCODE/UW 0 26 0 0 0 127 127 127 0 0 0 expression 1 longLabel BE2_C Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel BE2_C 1\
subGroups cellType=t3BE2C rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayBe2cSimpleSignalRep1\
type broadPeak\
wgEncodeUwDnaseCd20ro01778PkRep2 CD20+ Pk 2 narrowPeak B cells CD20+ RO01778 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 26 0 0 0 127 127 127 0 0 0 regulation 1 longLabel B cells CD20+ RO01778 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel CD20+ Pk 2\
subGroups view=Peaks cellType=t2BCELLSCD20RO01778 rep=rep2 treatment=None\
track wgEncodeUwDnaseCd20ro01778PkRep2\
type narrowPeak\
pgNA12892indel CEU NA12892 indel pgSnp CEU NA12892 indel (Complete Genomics) 0 26 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA12892 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12892 indel\
subGroups view=C_CG id=BH_12892 type=Indel\
track pgNA12892indel\
snpArrayCytoSnp850k CytoSNP 850k bigBed 6 + Illumina 850k CytoSNP Array 3 26 0 0 0 127 127 127 0 0 0
Affymetrix Arrays
\
\
Affymetrix Genome-Wide Human SNP Array 6.0 and SV
\
The SNP Array 6.0 includes more than 906,600 single nucleotide polymorphisms (SNPs) \
and more than 946,000 probes for the detection of copy number variation. \
The SNPs include the 482,000 SNPs from the 5.0 Array (unbiased selection).\
In addition, 424,000 new SNPs were chosen in the following areas:\
\
Tag SNPs
\
SNPs from chromosomes X and Y
\
Mitochondrial SNPs
\
New SNPs added to dbSNP
\
SNPs in recombination hotspots
\
\
\
The structural variation copy number (SV) probes include 202,000 probes \
targeting 5,677 known CNV regions\
from the Toronto Database of Genomic Variants. The additional 744,000 probes \
are evenly spaced throughout the genome.\
\
\
Affymetrix Genome-Wide Human SNP Array 5.0
\
The SNP Array 5.0 is a single microarray featuring all single nucleotide \
polymorphisms (SNPs) from the original two-chip Mapping 500K Array Set, as \
well as 420,000 additional non-polymorphic probes that can measure other \
genetic differences, such as copy number variation.\
\
Affymetrix 500K (250K Nsp and 250K Sty)
\
This annotation displays the SNPs available for genotyping with the \
GeneChip Human Mapping 500K Array Set from Affymetrix. It is comprised of\
two arrays: Nsp and Sty, which contain approximately 262,000 and 238,000 SNPs,\
respectively.\
\
Affymetrix CytoScan HD
\
The CytoScan High-Density (HD) Array provides whole-genome coverage with \
enriched coverage of all constitutional and cancer-related genes on a \
single array. The complete CytoScan array includes:\
\
\
\
\
\
\
Genome build
\
\
hg19
\
\
\
\
Total number of copy-number markers
\
\
2,696,550
\
\
\
\
Total number of non-polymorphic markers
\
\
1,953,246
\
\
\
\
Number of SNP markers
\
\
743,304
\
\
\
\
SNP markers with >99% genotype accuracy
\
\
749,157
\
\
\
\
Autosomal markers
\
\
2,491,915
\
\
\
\
Pseudoautosomal markers
\
\
4,624
\
\
\
\
Intragenic markers
\
\
1,410,535
\
\
\
\
Intergenic markers
\
\
1,286,015
\
\
\
\
\
\
\
Probes are colored \
green for CNV probesets and\
purple for SNP probesets. \
Some SNP probesets are also considered informative for CNV detection.\
\
\
Agilent Arrays
\
\
Non-SNP subtracks are colored in alternating shades of\
green and\
orange\
to highlight track boundaries. SNP subtracks\
are colored blue with SNP probes colored\
dark blue and CGH probes\
colored\
light blue.\
SurePrint G3 Human High-Resolution Microarray 1x1M
\
\
023642
\
\
1
\
\
989,214
\
\
2.6 kb
\
\
No (evenly tiled)
\
\
0
\
\
\
\
SurePrint G3 Human CGH+SNP Microarray 2x400K
\
\
028081
\
\
2
\
\
411,434
\
\
7 kb
\
\
Yes
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH Microarray 2x400K
\
\
021850
\
\
2
\
\
415,914
\
\
5.3 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint G3 Human Cancer CGH+SNP Microarray 4x180K
\
\
030587
\
\
4
\
\
172,595
\
\
25 kb
\
\
Yes (cancer genes)
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH+SNP Microarray 4x180K
\
\
029830
\
\
4
\
\
172,595
\
\
25 kb
\
\
No (ISCA regions)
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH Microarray 4x180K
\
\
022060
\
\
4
\
\
174,675
\
\
13 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint G3 Human CGH Microarray 8x60K
\
\
021924
\
\
8
\
\
59,175
\
\
41 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 1x244K
\
\
014693
\
\
1
\
\
238,331
\
\
8.9 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 2x105K
\
\
014698
\
\
2
\
\
100,034
\
\
22 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 4x44K
\
\
014950
\
\
4
\
\
43,143
\
\
43 kb
\
\
Yes
\
\
0
\
\
\
\
GenetiSure Cyto CGH+SNP 4x180K
\
\
085591
\
\
\
\
\
\
\
\
\
\
\
\
\
\
GenetiSure Cyto CGH 4x180K
\
\
085589
\
\
\
\
\
\
\
\
\
\
\
\
\
\
GenetiSure Cyto CGH 8x60k
\
\
085590
\
\
\
\
\
\
\
\
\
\
\
\
\
\
\
Illumina Arrays
\
\
Illumina HumanHap650Y
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap650Y Genotyping BeadChip. The HumanHap650Y contains over 650,000 markers,\
extending the HumanHap550 by adding 100,000 additional Yoruba-specific tag\
SNPs. On average, there is 1 SNP every 5.3 kb, 6.2 kb and 5.4 kb across\
the genome in the CEU, CHB+JPT and YRI populations, respectively.\
The HumanHap650Y was derived from release 21 of the \
\
International HapMap Project.\
\
Illumina HumanHap550
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap550 Genotyping BeadChip. The HumanHap550 contains over 550,000 markers,\
the majority of which are tag SNPs \
derived from release 20 of the \
\
International HapMap Project. In addition,\
approximately 7800 non-synonymous SNPs, a higher density of tag SNPs in\
the MHC region, over 150 mitochondrial SNPs and over 4000\
SNPs from regions with copy number polymorphism were included. \
In the CEU population, an r-squared threshold of 0.8 was used\
for common SNPs in genes, within 10 kb of genes or in evolutionarily\
conserved regions. For all other regions, an r-squared threshold of 0.7 was used.\
On average, there is 1 SNP every 5.5 kb, 6.5 kb and 6.2 kb across the genome in \
the CEU, CHB+JPT and YRI populations, respectively.\
\
Illumina HumanHap300
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap300 Genotyping BeadChip. The HumanHap300 contains over 317,000 tagSNP markers\
derived from Phase I of the \
\
International HapMap Project. In addition,\
approximately 7300 non-synonymous SNPs and a higher density of tag SNPs in\
the MHC region were included. On average, there is 1 SNP every 9 kb across\
the genome and median spacing is 5 kb.\
\
Illumina Human1M-Duo
\
This annotation displays the SNPs available for genotyping with Illumina's\
Human1M-Duo Genotyping BeadChip. The Human1M-Duo contains more than 1,100,000 tagSNP markers\
and a set of ~60,000 additional CNV-targeted markers. \
The median spacing is 1.5kb (mean - 2.4 kb).\
\
Illumina HumanOmni1-Quad v1
\
The HumanOmni1-Quad BeadChip consists of 1,140,419 markers in a 4-sample\
format. The whole-genome content provides high\
genomic coverage rates of 93%, 92%, and 76% at r2 > 0.8 for the CEU,\
CHB+JPT, and YRI populations, respectively. High density markers with a\
median spacing of 1.2 kb ensure the highest level of resolution for CNV\
and breakpoint identification.\
\
The content has been derived from the 1,000 Genomes Project,\
all three HapMap phases, and recently published studies, including \
new coding variants identified by the 1000 Genomes Project and\
markers chosen in high-value regions of the genome: ABO blood\
typing SNPs, cSNPs, disease-associated SNPs, eSNPs, SNPs in mRNA splice\
sites, ADME genes, AIMs, HLA complexes, indels, introns, MHC regions,\
miRNA binding sites, mitochondrial DNA, PAR, promoter regions, and\
Y-chromosome.\
\
Illumina Human660W-Quad v1
\
The Human660W-Quad BeadChip consists of 657,366 markers in a 4-sample\
format. The Human660W-Quad BeadChip provides 87%, 85%, and 56% coverage\
of CEU, CHB+JPT, and YRI populations at r2 > 0.8. For \
CNV and cytogenetic analysis, the dense backbone content is combined\
with an additional ~100,000 markers that target observed common CNVs.\
\
HumanCytoSNP-12 v2.1
\
\
The 301,232 markers on the HumanCytoSNP-12 represents a complete 12-sample panel of \
genome-wide SNPs for a uniform backbone and additional markers targeting all regions of \
known cytogenetic importance. Backbone markers provide genome-wide marker spacing of 10kb. \
This is supplemented with dense coverage (at 6 kb spacing average) of ~250 genomic regions \
commonly studied in cytogenetics labs and targeted coverage in ~400 additional genes, \
subtelomeric regions, pericentromeric regions, and sex chromosomes. \
An efficiency-optimized tagging strategy provides a panel for GWAS \
(70% coverage in CEU at r2 > 0.8) in the highest throughput and most cost-effective \
whole-genome DNA Analysis BeadChip.\
\
Illumina Global Diversity Array
\
\
The\
Global Diversity Array-8 v1.0 BeadChip includes coverage of the ACMG 59-gene\
clinical research variants and multi-ethnic, genome-wide content. The GDA is the commercial version\
of the array chosen by the All of Us Research\
Program and is designed to capture a wider range of the world's populationsthan traditional\
microarrays.
\
\
Illumina 450k and 850k Methylation Arrays
\
\
With the Infinium MethylationEPIC BeadChip Kit, researchers can interrogate over 850,000\
methylation sites quantitatively across the genome at single-nucleotide resolution. Multiple\
samples, including FFPE, can be analyzed in parallel to deliver high-throughput power while\
minimizing the cost per sample. These tracks show positions being measured on the Illumina 450k and\
850k (EPIC) microarray tracks. More information about the arrays can be found on the\
Infinium MethylationEPIC Kit website.\
\
Illumina CytoSNP 850K Probe Array
\
\
The Infinium CytoSNP-850K v1.2 BeadChip provides comprehensive coverage of\
cytogenetically relevant genes on a proven platform, helping researchers find valuable information\
that may be missed by other technologies. It contains approximately 850,000 empirically selected\
single nucleotide polymorphisms (SNPs) spanning the entire genome with enriched coverage for 3,262\
genes of known cytogenetics relevance in both constitutional and cancer applications. Items in this\
track are colored according to their strand orientation. Blue indicates\
alignment to the negative strand, and red indicates alignment to the\
positive strand.\
\
\
\
Methods
\
\
Position, strand, and polymorphism data were obtained from Affymetrix and \
supplemented with links to corresponding dbSNP rsIDs based on a positional\
lookup into \
\
dbSNP. The Affy 6.0 Array is based on dbSNP build 127; the Affy 5.0 Array \
is based on dbSNP build 126. The Affy 500K Array is based on dbSNP build 125 \
and was translated from hg17 by UCSC using rsID lookup. \
In fewer than 2% of the cases, a dbSNP rsID was\
not present in dbSNP at the Affymetrix array position. \
Reference allele information was retrieved from the UCSC database based on dbSNP position\
and strand data. \
\
\
Illumina data were supplied as rsIDs and position based on dbSNP build 126. \
Strand, polymorphism and reference allele information was retrieved from the UCSC database \
based on rsID and position.\
The Illumina arrays are comprised of probes for 4 of the possible single-base substitutions:\
A/C, A/G, C/T and G/T. A/T and C/G probes will be available in future arrays.\
\
\
For Illumina Human1M-Duo, the position, strand, polymorphism and reference allele information was \
retrieved from the snp129 table of UCSC database if the marker ID can be found in dbSNP 129, \
otherwise the information is retrieved from the data provided by Illumina.\
\
\
For Illumina HumanOmni1-Quad, Human660W-Quad, and HumanCytoSNP-12, \
the position, strand, polymorphism and reference allele information was \
retrieved from the snp130 table of UCSC database if the marker ID can be found in dbSNP 130, \
otherwise the information is retrieved from the data provided by Illumina.\
\
\
Agilent's oligonucleotide CGH (Comparative Genomic Hybridization) platform enables the \
study of genome-wide DNA copy number changes at a high resolution. The CGH probes on Agilent \
aCGH microarrays are 60-mer oligonucleotides synthesized in situ using Agilent's inkjet \
SurePrint technology. The probes represented on the Agilent CGH microarrays have been \
selected using algorithms developed specifically for the CGH application, assuring optimal \
performance of these probes in detecting DNA copy number changes. \
\
\
The Agilent SurePrint G3 CGH+SNP microarrays are designed for high quality human DNA \
copy-number profiling combined with the simultaneous detection of copy-neutral \
aberrations, such as lack or loss of heterozygosity (LOH) and uniparental disomy (UPD). \
Identification of LOH/UPD is enabled by the presence of a set of SNP probes on the CGH+SNP \
microarrays resulting in ~5-10 Mb resolution for copy neutral LOH/UPD detection across the \
entire genome.\
\
\
The Agilent catalog CGH and CGH+SNP microarrays are printed on 1 in. x 3 in. glass slides and are \
available in several formats. The human catalog SurePrint G3 microarrays formats are the 1x1M \
(gene-biased or evenly tiled), 2x400K (CGH-only or CGH+SNP), 4x180K (CGH-only or CGH+SNP), \
and 8x60K. The legacy human catalog SurePrint HD microarrays are the 1x244K, 2x105K, and \
4x44K. \
\
\
Non-SNP subtracks are colored in alternating shades of \
green and orange to highlight track boundaries. SNP subtracks \
are colored blue with SNP probes colored dark blue and \
CGH probes colored light blue. The track consists of the \
following subtracks:\
\
\
The Illumina 450k track was created using a custom track by Brooke Rhead (\
brhead@gmail.\
com) and then converted into a bigBed.\
\
The Illumina CytoSNP-850K track was created by downloading the\
CytoSNP-850K v1.2 Manifest File (CSV Format) file and then converted into a\
bigBed file using the hg19 coordinates.\
\
Thanks to Shane Giles, Peter Webb, and Anniek De Witte from Agilent\
Technologies, Venu Valmeekam from Affymetrix, and Luana Galver and\
Jennifer L. Stone from Illumina for\
providing these data.\
\
varRep 1 bigDataUrl /gbdb/hg19/bbi/cytoSnp/cytoSnp850k.bb\
colorByStrand 255,0,0 0,0,255\
html genotypeArrays\
longLabel Illumina 850k CytoSNP Array\
parent genotypeArrays on\
priority 26\
shortLabel CytoSNP 850k\
track snpArrayCytoSnp850k\
type bigBed 6 +\
urls rsID="https://www.ncbi.nlm.nih.gov/snp/?term=$$"\
visibility pack\
wgEncodeAwgDnaseDukeFibroblUniPk Fibrobl DNase narrowPeak Fibrobl DNaseI HS Uniform Peaks from ENCODE/Analysis 1 26 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Fibrobl DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Fibrobl DNase\
subGroups tier=a30 cellType=Fibrobl\
track wgEncodeAwgDnaseDukeFibroblUniPk\
wgEncodeAwgTfbsBroadGm12878Ezh239875UniPk GM12878 EZH2 narrowPeak GM12878 TFBS Uniform Peaks of EZH2_(39875) from ENCODE/Broad/Analysis 1 26 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of EZH2_(39875) from ENCODE/Broad/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 EZH2\
subGroups tier=a10 cellType=a10GM12878 factor=EZH2 lab=Broad\
track wgEncodeAwgTfbsBroadGm12878Ezh239875UniPk\
wgEncodeBroadHistoneGm12878H4k20me1StdSig GM12878 H4K20m1 bigWig 0.040000 8058.640137 GM12878 H4K20me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 26 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 H4K20me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 H4K20m1\
subGroups view=Signal factor=H4K20ME1 cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878H4k20me1StdSig\
type bigWig 0.040000 8058.640137\
wgEncodeHaibGenotypeGm19239RegionsRep1 GM19239 1 bed 9 + GM19239 Copy number variants Replicate 1 from ENCODE/HAIB 0 26 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GM19239 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel GM19239 1\
subGroups cellType=t3GM19239 obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeGm19239RegionsRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878Cebpbsc150V0422111RawRep1 GM78 CEBPB V11 1 bigWig 1.000000 4695.000000 GM12878 CEBPB v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 26 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CEBPB v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 CEBPB V11 1\
subGroups view=RawSignal factor=CEBPB cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Cebpbsc150V0422111RawRep1\
type bigWig 1.000000 4695.000000\
wgEncodeCshlLongRnaSeqGm12878CytosolPapAlnRep2 GM78 cyt pA+ A 2 bam GM12878 cytosol polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 26 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 cyt pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapAlnRep2\
type bam\
wgEncodeSydhTfbsGm12878Gcn5StdSig GM78 GCN5 Std bigWig 1.000000 81561.000000 GM12878 GCN5 Standard ChIP-seq Signal from ENCODE/SYDH 2 26 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 GCN5 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 GCN5 Std\
subGroups view=Signal factor=GCN5 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Gcn5StdSig\
type bigWig 1.000000 81561.000000\
wgEncodeRikenCageGm12878NucleusPapAlnRep2 GM78 nucl pA+ A 2 bam GM12878 nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 26 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 nucl pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878NucleusPapAlnRep2\
type bam\
wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep1V2 H1ES 2x75 Sp 1 bam H1-hESC 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 26 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 2x75 Sp 1\
subGroups view=Splices cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep1V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapContigs H1ES cell TAP C bed 6 H1-hESC TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL 2 26 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs on\
shortLabel H1ES cell TAP C\
subGroups view=Contigs cellType=t1H1HESC localization=CELL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapContigs\
type bed 6\
wgEncodeHaibMethyl450HaeSitesRep1 HAEpiC bed 9 HAEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 26 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HAEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HAEpiC\
subGroups cellType=t3HAEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HaeSitesRep1\
type bed 9\
wgEncodeOpenChromFaireHelas3Ifng4hSig HeLa IFg FAIRE DS bigWig 0.000000 0.697800 HeLa-S3 IFNg 4hr FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 26 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFNg 4hr FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HeLa IFg FAIRE DS\
subGroups view=SIG cellType=t2HELAS3 treatment=IFNg4h\
track wgEncodeOpenChromFaireHelas3Ifng4hSig\
type bigWig 0.000000 0.697800\
wgEncodeUwRepliSeqHelas3G2PctSignalRep1 HeLa-S3 G2 1 bigWig 1.000000 100.000000 HeLa-S3 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 26 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HeLa-S3 G2 1\
subGroups view=v1PctSignal cellType=t2HELAS3 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqHelas3G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwTfbsHelas3CtcfStdRawRep1 HeLaS3 CTCF Sg 1 bigWig 1.000000 4129.000000 HeLa-S3 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 26 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HeLaS3 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t2HELAS3 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdRawRep1\
type bigWig 1.000000 4129.000000\
wgEncodeDukeAffyExonHepg2SimpleSignalRep2V2 HepG2 2 bigBed 6 + HepG2 Exon array Signal Rep 2 from ENCODE/Duke 0 26 189 0 157 222 127 206 1 0 0 expression 1 color 189,0,157\
longLabel HepG2 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HepG2 2\
subGroups cellType=t2HEPG2 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHepg2SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUwHistoneK562H3k27me3StdHotspotsRep1 K562 H3K27M3 Ht 1 broadPeak K562 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 26 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K27M3 Ht 1\
subGroups view=Hot factor=H3K27ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaPetK562NucleoplasmTotalMinusRawSigRep1 K562 nplm tot - 1 bigWig 1.000000 5294.000000 K562 nucleoplasm total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 26 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleoplasm total clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 nplm tot - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Based localization=nucleoplasm rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleoplasmTotalMinusRawSigRep1\
type bigWig 1.000000 5294.000000\
wgEncodeSunyRipSeqK562Pabpc1AlnRep2 K562 PABPC1 2 bam K562 PABPC1 RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 26 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 PABPC1 RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 PABPC1 2\
subGroups view=Alignments factor=PABPC1 cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562Pabpc1AlnRep2\
type bam\
wgEncodeOpenChromChipK562Pol2Pk K562 Pol2 Pk narrowPeak K562 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 26 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks\
shortLabel K562 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t1K562\
track wgEncodeOpenChromChipK562Pol2Pk\
type narrowPeak\
wgEncodeUwDgfLhcnm2Sig LHCNM2 Sig bigWig 1.000000 65022.000000 LHCN-M2 DNaseI DGF Per-base Signal from ENCODE/UW 2 26 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel LHCNM2 Sig\
subGroups view=Signal cellType=t2LHCNM2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfLhcnm2Sig\
type bigWig 1.000000 65022.000000\
gtexEqtlTissueLung lung bed 9 + Expression QTL in Lung from GTEx V6 0 26 154 205 50 204 230 152 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 154,205,50\
idInUrlSql select gene from gtexEqtlTissueLung where name='%s'\
longLabel Expression QTL in Lung from GTEx V6\
parent gtexEqtlTissue on\
shortLabel lung\
track gtexEqtlTissueLung\
wgEncodeGisChiaPetMcf7Pol2SigRep4 MCF7 Pol2 Sig 4 bigWig 1.000000 5065.000000 MCF-7 Pol2 ChIA-PET Signal Rep 4 from ENCODE/GIS-Ruan 2 26 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Pol2 ChIA-PET Signal Rep 4 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel MCF7 Pol2 Sig 4\
subGroups view=Signal factor=POL2 cellType=t2MCF7 rep=rep4\
track wgEncodeGisChiaPetMcf7Pol2SigRep4\
type bigWig 1.000000 5065.000000\
wgEncodeSydhHistoneNt2d1H3k4me3bUcdPk NT2-D1 H3K4me3 narrowPeak NT2D1 H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 26 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel NT2-D1 H3K4me3\
subGroups view=Peaks factor=H3K04ME3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k4me3bUcdPk\
type narrowPeak\
wgEncodeAffyRnaChipFiltTransfragsProstateCellLongpolya Prostate cell pA+ broadPeak Prostate whole cell polyA+ Microarray Transfrags from ENCODE Affy/CSHL 3 26 0 102 136 127 178 195 0 0 0 expression 1 color 0,102,136\
longLabel Prostate whole cell polyA+ Microarray Transfrags from ENCODE Affy/CSHL\
parent wgEncodeAffyRnaChipViewFiltTransfrags off\
shortLabel Prostate cell pA+\
subGroups view=FiltTransfrags cellType=t3PROSTATE localization=aCELL rnaExtract=longPolyA\
track wgEncodeAffyRnaChipFiltTransfragsProstateCellLongpolya\
type broadPeak\
dhcHumDerDenAncRegMotifFixed RegMotif Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Regulatory Motif 3 26 230 100 0 242 177 127 0 0 0 denisova 1 color 230,100,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Regulatory Motif\
parent dhcHumDerDenAncReg\
shortLabel RegMotif Fxd\
subGroups view=Reg subset=DB_RegMotif freq=Fixed\
track dhcHumDerDenAncRegMotifFixed\
burgeRnaSeqGemMapperAlignLymphNodeAllRawSignal RNA-seq Lymph Node Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Lymph Node, Raw Signal 2 26 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Lymph Node, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal on\
shortLabel RNA-seq Lymph Node Sig\
subGroups view=RawSignal tissueType=lymphNode\
track burgeRnaSeqGemMapperAlignLymphNodeAllRawSignal\
Agilent_Human_Exon_Focused_Covered SureSel. Focused P bigBed Agilent - SureSelect Focused Exome Covered by Probes 0 26 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07084713_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect Focused Exome Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. Focused P\
track Agilent_Human_Exon_Focused_Covered\
type bigBed\
chainFr2 Fugu Chain chain fr2 Fugu (Oct. 2004 (JGI 4.0/fr2)) Chained Alignments 3 27 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Fugu (Oct. 2004 (JGI 4.0/fr2)) Chained Alignments\
otherDb fr2\
parent vertebrateChainNetViewchain off\
shortLabel Fugu Chain\
subGroups view=chain species=s061 clade=c06\
track chainFr2\
type chain fr2\
chainEriEur2 Hedgehog Chain chain eriEur2 Hedgehog (May 2012 (EriEur2.0/eriEur2)) Chained Alignments 3 27 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Hedgehog (May 2012 (EriEur2.0/eriEur2)) Chained Alignments\
otherDb eriEur2\
parent placentalChainNetViewchain off\
shortLabel Hedgehog Chain\
subGroups view=chain species=s090 clade=c04\
track chainEriEur2\
type chain eriEur2\
wgEncodeHaibRnaSeqA549Etoh02RawRep4 A549 ETOH 4 bigWig 0.120691 1476.140015 A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 4 from ENCODE/HAIB 2 27 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 ETOH 1 hr 0.02% RNA-seq Raw Signal Rep 4 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel A549 ETOH 4\
subGroups view=RawSignal cellType=t2A549 treatment=ETOH02 rep=rep4\
track wgEncodeHaibRnaSeqA549Etoh02RawRep4\
type bigWig 0.120691 1476.140015\
encTfChipPkENCFF654YPN A549 NFE2L2 narrowPeak Transcription Factor ChIP-seq Peaks of NFE2L2 in A549 from ENCODE 3 (ENCFF654YPN) 1 27 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NFE2L2 in A549 from ENCODE 3 (ENCFF654YPN)\
parent encTfChipPk off\
shortLabel A549 NFE2L2\
subGroups cellType=A549 factor=NFE2L2\
track encTfChipPkENCFF654YPN\
wgEncodeOpenChromDnaseA549BaseOverlapSignal A549 OS bigWig 0.000000 204.000000 A549 DNaseI HS Overlap Signal from ENCODE/Duke 2 27 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel A549 OS\
subGroups view=SIGBO cellType=t2A549 treatment=zNONE\
track wgEncodeOpenChromDnaseA549BaseOverlapSignal\
type bigWig 0.000000 204.000000\
wgEncodeHaibMethylRrbsAg09319UwSitesRep1 AG09319 1 bed 9 + AG09319 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 27 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG09319 1\
subGroups cellType=t3AG09319 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAg09319UwSitesRep1\
type bed 9 +\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_ctss_fwd AorticSmsToFgf2_02hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_forward 0 27 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep1%20%28LK16%29.CNhs13344.12647-134H1.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12647-134H1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_tpm_fwd AorticSmsToFgf2_02hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_forward 1 27 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep1%20%28LK16%29.CNhs13344.12647-134H1.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12647-134H1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1\
urlLabel FANTOM5 Details:\
wgEncodeUwAffyExonArrayBe2cSimpleSignalRep2 BE2_C 2 broadPeak BE2_C Exon array Signal Rep 2 from ENCODE/UW 0 27 0 0 0 127 127 127 0 0 0 expression 1 longLabel BE2_C Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel BE2_C 2\
subGroups cellType=t3BE2C rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayBe2cSimpleSignalRep2\
type broadPeak\
wgEncodeUwDnaseCd20ro01778RawRep2 CD20+ Sg 2 bigWig 1.000000 31470.000000 B cells CD20+ RO01778 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 27 0 0 0 127 127 127 0 0 0 regulation 0 longLabel B cells CD20+ RO01778 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel CD20+ Sg 2\
subGroups view=zRSig cellType=t2BCELLSCD20RO01778 rep=rep2 treatment=None\
track wgEncodeUwDnaseCd20ro01778RawRep2\
type bigWig 1.000000 31470.000000\
wgEncodeAwgDnaseUwGm06990UniPk GM06990 DNase narrowPeak GM06990 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 27 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM06990 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM06990 DNase\
subGroups tier=a30 cellType=GM06990\
track wgEncodeAwgDnaseUwGm06990UniPk\
wgEncodeAwgTfbsSydhGm12878CfosUniPk GM12878 FOS narrowPeak GM12878 TFBS Uniform Peaks of c-Fos from ENCODE/Yale/Analysis 1 27 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of c-Fos from ENCODE/Yale/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 FOS\
subGroups tier=a10 cellType=a10GM12878 factor=FOS lab=Yale\
track wgEncodeAwgTfbsSydhGm12878CfosUniPk\
wgEncodeBroadHistoneGm12878ControlStdSig GM12878 Input bigWig 0.040000 10034.400391 GM12878 Input Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 27 153 38 0 204 146 127 1 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Input Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel GM12878 Input\
subGroups view=Signal factor=zCTRL cellType=t1GM12878 treatment=zNONE\
track wgEncodeBroadHistoneGm12878ControlStdSig\
type bigWig 0.040000 10034.400391\
wgEncodeHaibTfbsGm12878Cebpbsc150V0422111PkRep2 GM78 CEBPB V11 2 broadPeak GM12878 CEBPB v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 27 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CEBPB v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 CEBPB V11 2\
subGroups view=Peaks factor=CEBPB cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Cebpbsc150V0422111PkRep2\
type broadPeak\
wgEncodeRikenCageGm12878CellPapTssHmm GM78 cell pA+ bed 6 GM12878 whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 27 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel GM78 cell pA+\
subGroups view=TssHmm cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageGm12878CellPapTssHmm\
type bed 6\
wgEncodeCshlLongRnaSeqGm12878CytosolPapContigs GM78 cyt pA+ C bed 6 + GM12878 cytosol polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 27 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel GM78 cyt pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapContigs\
type bed 6 +\
wgEncodeSydhTfbsGm12878Ikzf1iknuclaStdPk GM78 IKZF1 Std narrowPeak GM12878 IKZF1 IKN UCLA Standard ChIP-seq Peaks from ENCODE/SYDH 3 27 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 IKZF1 IKN UCLA Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 IKZF1 Std\
subGroups view=Peaks factor=IKZF1IKNUCLA cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ikzf1iknuclaStdPk\
type narrowPeak\
wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep2V2 H1ES 2x75 Sp 2 bam H1-hESC 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 27 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 2x75 Sp 2\
subGroups view=Splices cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep2V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapMinusRawRep1 H1ES cell TAP - 1 bigWig 1.000000 15677126.000000 H1-hESC TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 27 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal on\
shortLabel H1ES cell TAP - 1\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapMinusRawRep1\
type bigWig 1.000000 15677126.000000\
wgEncodeHaibGenotypeHaeRegionsRep1 HAEpiC 1 bed 9 + HAEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 27 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HAEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HAEpiC 1\
subGroups cellType=t3HAEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHaeRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HcfSitesRep1 HCF bed 9 HCF Methylation 450K Bead Array from ENCODE/HAIB 1 27 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCF Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HCF\
subGroups cellType=t3HCF obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HcfSitesRep1\
type bed 9\
wgEncodeGisChiaPetHct116Pol2InteractionsRep1 HCT116 Pol2 Int 1 bed 12 HCT-116 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 27 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCT-116 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel HCT116 Pol2 Int 1\
subGroups view=Interactions factor=POL2 cellType=t3HCT116 rep=rep1\
track wgEncodeGisChiaPetHct116Pol2InteractionsRep1\
type bed 12\
wgEncodeOpenChromFaireHelas3Ifng4hBaseOverlapSignal HeLa IFg FAIRE OS bigWig 0.000000 1430.000000 HeLa-S3 IFNg 4hr FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 27 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFNg 4hr FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HeLa IFg FAIRE OS\
subGroups view=SIGBO cellType=t2HELAS3 treatment=IFNg4h\
track wgEncodeOpenChromFaireHelas3Ifng4hBaseOverlapSignal\
type bigWig 0.000000 1430.000000\
wgEncodeUwRepliSeqHelas3PkRep1 HeLa-S3 Pk 1 bed 9 HeLa-S3-Phase Repli-seq Peaks Rep 1 from ENCODE/UW 0 27 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3-Phase Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel HeLa-S3 Pk 1\
subGroups view=v2Peaks cellType=t2HELAS3 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHelas3PkRep1\
type bed 9\
wgEncodeUwTfbsHelas3CtcfStdHotspotsRep2 HeLaS3 CTCF Ht 2 broadPeak HeLa-S3 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 27 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HeLaS3 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t2HELAS3 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeDukeAffyExonHepg2SimpleSignalRep3V2 HepG2 3 bigBed 6 + HepG2 Exon array Signal Rep 3 from ENCODE/Duke 0 27 189 0 157 222 127 206 1 0 0 expression 1 color 189,0,157\
longLabel HepG2 Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HepG2 3\
subGroups cellType=t2HEPG2 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonHepg2SimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeUwHistoneK562H3k27me3StdPkRep1 K562 H3K27M3 Pk 1 narrowPeak K562 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 27 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K27M3 Pk 1\
subGroups view=Peaks factor=H3K27ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdPkRep1\
type narrowPeak\
wgEncodeGisRnaPetK562NucleoplasmTotalPlusRawSigRep1 K562 nplm tot + 1 bigWig 1.000000 202.000000 K562 nucleoplasm total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 27 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleoplasm total clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 nplm tot + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Based localization=nucleoplasm rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleoplasmTotalPlusRawSigRep1\
type bigWig 1.000000 202.000000\
wgEncodeSunyRipSeqK562Pabpc1Pk K562 PABPC1 Pk broadPeak K562 PABPC1 RIP-seq Analysis from ENCODE/SUNY 2 27 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 PABPC1 RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks on\
shortLabel K562 PABPC1 Pk\
subGroups view=Peaks factor=PABPC1 cellType=t1K562 rep=Pooled\
track wgEncodeSunyRipSeqK562Pabpc1Pk\
type broadPeak\
wgEncodeOpenChromChipK562Pol2Sig K562 Pol2 DS bigWig 0.000000 5.497300 K562 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 27 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel K562 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t1K562\
track wgEncodeOpenChromChipK562Pol2Sig\
type bigWig 0.000000 5.497300\
wgEncodeUwDgfLhcnm2Diff4dRaw LHCNM2 DIFF4d Raw bigWig 1.000000 591867.000000 LHCN-M2 DIFF 4 d DNaseI DGF Raw Signal from ENCODE/UW 0 27 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DIFF 4 d DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel LHCNM2 DIFF4d Raw\
subGroups view=zRaw cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDgfLhcnm2Diff4dRaw\
type bigWig 1.000000 591867.000000\
gtexEqtlTissueMuscleSkeletal muscleSkeletal bed 9 + Expression QTL in Muscle_Skeletal from GTEx V6 0 27 122 103 238 188 179 246 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 122,103,238\
idInUrlSql select gene from gtexEqtlTissueMuscleSkeletal where name='%s'\
longLabel Expression QTL in Muscle_Skeletal from GTEx V6\
parent gtexEqtlTissue on\
shortLabel muscleSkeletal\
track gtexEqtlTissueMuscleSkeletal\
wgEncodeSydhHistoneNt2d1H3k4me3bUcdSig NT2-D1 H3K4me3 bigWig 1.000000 8678.000000 NT2D1 H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 27 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel NT2-D1 H3K4me3\
subGroups view=Signal factor=H3K04ME3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k4me3bUcdSig\
type bigWig 1.000000 8678.000000\
dhcHumDerDenAncRegMotifFixedDbSnp RegMotif FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Regulatory Motif 3 27 230 100 0 242 177 127 0 0 0 denisova 1 color 230,100,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Regulatory Motif\
parent dhcHumDerDenAncReg\
shortLabel RegMotif FxS\
subGroups view=Reg subset=DB_RegMotif freq=FixedDbSnp\
track dhcHumDerDenAncRegMotifFixedDbSnp\
burgeRnaSeqGemMapperAlignSkelMuscleAllRawSignal RNA-seq Muscle Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Skeletal Muscle, Raw Signal 2 27 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Skeletal Muscle, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq Muscle Sig\
subGroups view=RawSignal tissueType=skelMuscle\
track burgeRnaSeqGemMapperAlignSkelMuscleAllRawSignal\
Agilent_Human_Exon_Focused_Regions SureSel. Focused T bigBed Agilent - SureSelect Focused Exome Target Regions 0 27 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07084713_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect Focused Exome Target Regions\
parent exomeProbesets off\
shortLabel SureSel. Focused T\
track Agilent_Human_Exon_Focused_Regions\
type bigBed\
pgNA19240CG YRI NA19240 pgSnp YRI NA19240 (Daughter) (Complete Genomics) 0 27 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19240 (Daughter) (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19240\
subGroups view=C_CG id=BI_19240 type=SNP\
track pgNA19240CG\
netFr2 Fugu Net netAlign fr2 chainFr2 Fugu (Oct. 2004 (JGI 4.0/fr2)) Alignment Net 1 28 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Fugu (Oct. 2004 (JGI 4.0/fr2)) Alignment Net\
otherDb fr2\
parent vertebrateChainNetViewnet off\
shortLabel Fugu Net\
subGroups view=net species=s061 clade=c06\
track netFr2\
type netAlign fr2 chainFr2\
netEriEur2 Hedgehog Net netAlign eriEur2 chainEriEur2 Hedgehog (May 2012 (EriEur2.0/eriEur2)) Alignment Net 1 28 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Hedgehog (May 2012 (EriEur2.0/eriEur2)) Alignment Net\
otherDb eriEur2\
parent placentalChainNetViewnet off\
shortLabel Hedgehog Net\
subGroups view=net species=s090 clade=c04\
track netEriEur2\
type netAlign eriEur2 chainEriEur2\
wgEncodeHaibRnaSeqA549Etoh02AlnRep4 A549 ETOH 4 bam A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 4 from ENCODE/HAIB 0 28 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 ETOH 1 hr 0.02% RNA-seq Alignments Rep 4 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel A549 ETOH 4\
subGroups view=Alignments cellType=t2A549 treatment=ETOH02 rep=rep4\
track wgEncodeHaibRnaSeqA549Etoh02AlnRep4\
type bam\
encTfChipPkENCFF080RMP A549 NR3C1 1 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF080RMP) 1 28 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF080RMP)\
parent encTfChipPk off\
shortLabel A549 NR3C1 1\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF080RMP\
wgEncodeHaibMethylRrbsAg09319UwSitesRep2 AG09319 2 bed 9 + AG09319 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 28 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG09319 2\
subGroups cellType=t3AG09319 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAg09319UwSitesRep2\
type bed 9 +\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_ctss_rev AorticSmsToFgf2_02hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_reverse 0 28 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep1%20%28LK16%29.CNhs13344.12647-134H1.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12647-134H1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_tpm_rev AorticSmsToFgf2_02hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_reverse 1 28 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep1%20%28LK16%29.CNhs13344.12647-134H1.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep1 (LK16)_CNhs13344_12647-134H1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12647-134H1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep1LK16_CNhs13344_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12647-134H1\
urlLabel FANTOM5 Details:\
wgEncodeUwAffyExonArrayBjSimpleSignalRep1 BJ 1 broadPeak BJ Exon array Signal Rep 1 from ENCODE/UW 0 28 0 0 0 127 127 127 0 0 0 expression 1 longLabel BJ Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel BJ 1\
subGroups cellType=t3BJ rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayBjSimpleSignalRep1\
type broadPeak\
wgEncodeOpenChromDnaseCd20ro01794Pk CD20 Pk narrowPeak B-cells CD20+ RO01794 DNaseI HS Peaks from ENCODE/Duke 3 28 0 0 0 127 127 127 1 0 0 regulation 1 longLabel B-cells CD20+ RO01794 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel CD20 Pk\
subGroups view=Peaks cellType=t2BCELLSCD20RO01794 treatment=zNONE\
track wgEncodeOpenChromDnaseCd20ro01794Pk\
type narrowPeak\
wgEncodeAwgDnaseUwGm12864UniPk GM12864 DNase narrowPeak GM12864 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 28 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12864 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM12864 DNase\
subGroups tier=a30 cellType=GM12864\
track wgEncodeAwgDnaseUwGm12864UniPk\
wgEncodeAwgTfbsHaibGm12878Foxm1sc502V0422111UniPk GM12878 FOXM1 narrowPeak GM12878 TFBS Uniform Peaks of FOXM1_(SC-502) from ENCODE/HudsonAlpha/Analysis 1 28 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of FOXM1_(SC-502) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 FOXM1\
subGroups tier=a10 cellType=a10GM12878 factor=FOXM1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Foxm1sc502V0422111UniPk\
wgEncodeHaibTfbsGm12878Cebpbsc150V0422111RawRep2 GM78 CEBPB V11 2 bigWig 1.000000 3331.000000 GM12878 CEBPB v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 28 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CEBPB v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 CEBPB V11 2\
subGroups view=RawSignal factor=CEBPB cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Cebpbsc150V0422111RawRep2\
type bigWig 1.000000 3331.000000\
wgEncodeRikenCageGm12878CellPapPlusSignalRep1 GM78 cell pA+ + 1 bigWig 1.000000 188531.000000 GM12878 whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 28 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 cell pA+ + 1\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CellPapPlusSignalRep1\
type bigWig 1.000000 188531.000000\
wgEncodeCshlLongRnaSeqGm12878CytosolPapJunctions GM78 cyt pA+ J bed 6 + GM12878 cytosol polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 28 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 cyt pA+ J\
subGroups view=Junctions cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapJunctions\
type bed 6 +\
wgEncodeSydhTfbsGm12878Ikzf1iknuclaStdSig GM78 IKZF1 Std bigWig 1.000000 16841.000000 GM12878 IKZF1 IKN UCLA Standard ChIP-seq Signal from ENCODE/SYDH 2 28 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 IKZF1 IKN UCLA Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 IKZF1 Std\
subGroups view=Signal factor=IKZF1IKNUCLA cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Ikzf1iknuclaStdSig\
type bigWig 1.000000 16841.000000\
wgEncodeBroadHistoneH1hescChd1a301218aStdPk H1-hESC CHD1 broadPeak H1-hESC CHD1 (A301-218A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 28 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC CHD1 (A301-218A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC CHD1\
subGroups view=Peaks factor=CHD1A301218A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescChd1a301218aStdPk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep3V2 H1ES 2x75 Sp 3 bam H1-hESC 200 bp paired read RNA-seq Splices Rep 3 from ENCODE/Caltech 0 28 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Splices Rep 3 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 2x75 Sp 3\
subGroups view=Splices cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep3 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep3V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapMinusRawRep2 H1ES cell TAP - 2 bigWig 1.000000 13772296.000000 H1-hESC TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 28 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel H1ES cell TAP - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapMinusRawRep2\
type bigWig 1.000000 13772296.000000\
wgEncodeHaibGenotypeHaeRegionsRep2 HAEpiC 2 bed 9 + HAEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 28 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HAEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HAEpiC 2\
subGroups cellType=t3HAEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHaeRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450HcmSitesRep1 HCM bed 9 HCM Methylation 450K Bead Array from ENCODE/HAIB 1 28 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCM Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HCM\
subGroups cellType=t3HCM obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HcmSitesRep1\
type bed 9\
wgEncodeGisChiaPetHct116Pol2SigRep1 HCT116 Pol2 Sig 1 bigWig 1.000000 3688.000000 HCT-116 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 28 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCT-116 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel HCT116 Pol2 Sig 1\
subGroups view=Signal factor=POL2 cellType=t3HCT116 rep=rep1\
track wgEncodeGisChiaPetHct116Pol2SigRep1\
type bigWig 1.000000 3688.000000\
wgEncodeUwRepliSeqHelas3ValleysRep1 HeLa-S3 Vly 1 bed 9 HeLa-S3-Phase Repli-seq Valleys Rep 1 from ENCODE/UW 0 28 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3-Phase Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel HeLa-S3 Vly 1\
subGroups view=v3Valleys cellType=t2HELAS3 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHelas3ValleysRep1\
type bed 9\
wgEncodeUwTfbsHelas3CtcfStdPkRep2 HeLaS3 CTCF Pk 2 narrowPeak HeLa-S3 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 28 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HeLaS3 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t2HELAS3 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdPkRep2\
type narrowPeak\
wgEncodeUwDnaseHelas3HotspotsRep1 HeLaS3 Ht 1 broadPeak HeLa-S3 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 28 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HeLaS3 Ht 1\
subGroups view=Hot cellType=t2HELAS3 rep=rep1 treatment=None\
track wgEncodeUwDnaseHelas3HotspotsRep1\
type broadPeak\
wgEncodeOpenChromFaireHepg2Pk HepG2 FAIRE Pk narrowPeak HepG2 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 28 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HepG2 FAIRE Pk\
subGroups view=Peaks cellType=t2HEPG2 treatment=AANONE\
track wgEncodeOpenChromFaireHepg2Pk\
type narrowPeak\
wgEncodeDukeAffyExonHuvecSimpleSignalRep1V2 HUVEC 1 bigBed 6 + HUVEC Exon array Signal Rep 1 from ENCODE/Duke 0 28 224 75 0 239 165 127 1 0 0 expression 1 color 224,75,0\
longLabel HUVEC Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HUVEC 1\
subGroups cellType=t2HUVEC treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHuvecSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUwHistoneK562H3k27me3StdRawRep1 K562 H3K27M3 Sg 1 bigWig 1.000000 6663.000000 K562 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 28 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K27M3 Sg 1\
subGroups view=zRSig factor=H3K27ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdRawRep1\
type bigWig 1.000000 6663.000000\
wgEncodeGisRnaPetK562NucleoplasmTotalAlnRep1 K562 nplm tot A 1 bam K562 nucleoplasm total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 28 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleoplasm total clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 nplm tot A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Based localization=nucleoplasm rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleoplasmTotalAlnRep1\
type bam\
wgEncodeSunyRipSeqK562Pabpc1SigRep1 K562 PABPC1 1 bigWig 0.000000 53101.386719 K562 PABPC1 RIP-seq Signal Rep 1 from ENCODE/SUNY 2 28 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 PABPC1 RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 PABPC1 1\
subGroups view=Signal factor=PABPC1 cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562Pabpc1SigRep1\
type bigWig 0.000000 53101.386719\
wgEncodeOpenChromChipK562Pol2BaseOverlapSignal K562 Pol2 OS bigWig 0.000000 4459.000000 K562 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 28 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo\
shortLabel K562 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t1K562\
track wgEncodeOpenChromChipK562Pol2BaseOverlapSignal\
type bigWig 0.000000 4459.000000\
wgEncodeUwDgfLhcnm2Raw LHCNM2 Raw bigWig 1.000000 308025.000000 LHCN-M2 DNaseI DGF Raw Signal from ENCODE/UW 0 28 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel LHCNM2 Raw\
subGroups view=zRaw cellType=t2LHCNM2 treatment=aNONE rep=rep1\
track wgEncodeUwDgfLhcnm2Raw\
type bigWig 1.000000 308025.000000\
gtexEqtlTissueNerveTibial nerveTibial bed 9 + Expression QTL in Nerve_Tibial from GTEx V6 0 28 255 215 0 255 235 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 255,215,0\
idInUrlSql select gene from gtexEqtlTissueNerveTibial where name='%s'\
longLabel Expression QTL in Nerve_Tibial from GTEx V6\
parent gtexEqtlTissue on\
shortLabel nerveTibial\
track gtexEqtlTissueNerveTibial\
wgEncodeSydhHistoneNt2d1H3k09me3UcdPk NT2-D1 H3K9me3 narrowPeak NT2D1 H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 28 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel NT2-D1 H3K9me3\
subGroups view=Peaks factor=H3K09ME3 cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k09me3UcdPk\
type narrowPeak\
dhcHumDerDenAncRegMotifHighFreq RegMotif HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Regulatory Motif 3 28 230 100 0 242 177 127 0 0 0 denisova 1 color 230,100,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Regulatory Motif\
parent dhcHumDerDenAncReg\
shortLabel RegMotif HiF\
subGroups view=Reg subset=DB_RegMotif freq=HighFreq\
track dhcHumDerDenAncRegMotifHighFreq\
burgeRnaSeqGemMapperAlignTestesAllRawSignal RNA-seq Testes Sig bedGraph 4 Burge Lab RNA-seq 32mer Reads from Testes, Raw Signal 2 28 46 0 184 150 127 219 0 0 0 expression 0 longLabel Burge Lab RNA-seq 32mer Reads from Testes, Raw Signal\
parent burgeRnaSeqGemMapperAlignViewRawSignal off\
shortLabel RNA-seq Testes Sig\
subGroups view=RawSignal tissueType=testes\
track burgeRnaSeqGemMapperAlignTestesAllRawSignal\
Agilent_Human_Exon_V4_Covered SureSel. V4 P bigBed Agilent - SureSelect All Exon V4 Covered by Probes 0 28 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S03723314_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V4 Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V4 P\
track Agilent_Human_Exon_V4_Covered\
type bigBed\
pgNA19240indel YRI NA19240 indel pgSnp YRI NA19240 (Daughter) indel (Complete Genomics) 0 28 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19240 (Daughter) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19240 indel\
subGroups view=C_CG id=BI_19240 type=Indel\
track pgNA19240indel\
chainTetNig2 Tetraodon Chain chain tetNig2 Tetraodon (Mar. 2007 (Genoscope 8.0/tetNig2)) Chained Alignments 3 29 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Tetraodon (Mar. 2007 (Genoscope 8.0/tetNig2)) Chained Alignments\
otherDb tetNig2\
parent vertebrateChainNetViewchain off\
shortLabel Tetraodon Chain\
subGroups view=chain species=s062 clade=c06\
track chainTetNig2\
type chain tetNig2\
chainSorAra2 Shrew Chain chain sorAra2 Shrew (Aug. 2008 (Broad/sorAra2)) Chained Alignments 3 29 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Shrew (Aug. 2008 (Broad/sorAra2)) Chained Alignments\
otherDb sorAra2\
parent placentalChainNetViewchain off\
shortLabel Shrew Chain\
subGroups view=chain species=s093 clade=c04\
track chainSorAra2\
type chain sorAra2\
encTfChipPkENCFF913WFD A549 NR3C1 2 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF913WFD) 1 29 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF913WFD)\
parent encTfChipPk off\
shortLabel A549 NR3C1 2\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF913WFD\
wgEncodeHaibMethylRrbsAg10803UwSitesRep1 AG10803 1 bed 9 + AG10803 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 29 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG10803 1\
subGroups cellType=t3AG10803 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAg10803UwSitesRep1\
type bed 9 +\
wgEncodeUwDgfAg10803Hotspots AG10803 Hot broadPeak AG10803 DNaseI DGF Hotspots from ENCODE/UW 0 29 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel AG10803 Hot\
subGroups view=Hotspots cellType=t3AG10803 treatment=aNONE rep=rep1\
track wgEncodeUwDgfAg10803Hotspots\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_ctss_fwd AorticSmsToFgf2_02hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_forward 0 29 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep2%20%28LK17%29.CNhs13363.12745-135I9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12745-135I9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_tpm_fwd AorticSmsToFgf2_02hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_forward 1 29 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep2%20%28LK17%29.CNhs13363.12745-135I9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12745-135I9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9\
urlLabel FANTOM5 Details:\
wgEncodeUwAffyExonArrayBjSimpleSignalRep2 BJ 2 broadPeak BJ Exon array Signal Rep 2 from ENCODE/UW 0 29 0 0 0 127 127 127 0 0 0 expression 1 longLabel BJ Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel BJ 2\
subGroups cellType=t3BJ rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayBjSimpleSignalRep2\
type broadPeak\
wgEncodeOpenChromDnaseCd20ro01794Sig CD20 DS bigWig 0.000000 1.765400 B-cells CD20+ RO01794 DNaseI HS Density Signal from ENCODE/Duke 2 29 0 0 0 127 127 127 1 0 0 regulation 0 longLabel B-cells CD20+ RO01794 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel CD20 DS\
subGroups view=SIG cellType=t2BCELLSCD20RO01794 treatment=zNONE\
track wgEncodeOpenChromDnaseCd20ro01794Sig\
type bigWig 0.000000 1.765400\
wgEncodeAwgDnaseUwGm12865UniPk GM12865 DNase narrowPeak GM12865 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 29 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12865 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM12865 DNase\
subGroups tier=a30 cellType=GM12865\
track wgEncodeAwgDnaseUwGm12865UniPk\
wgEncodeAwgTfbsHaibGm12878GabpPcr2xUniPk GM12878 GABPA narrowPeak GM12878 TFBS Uniform Peaks of GABP from ENCODE/HudsonAlpha/Analysis 1 29 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of GABP from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 GABPA\
subGroups tier=a10 cellType=a10GM12878 factor=GABPA lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878GabpPcr2xUniPk\
wgEncodeRikenCageGm12878CellPapPlusSignalRep2 GM78 cell pA+ + 2 bigWig 1.000000 218248.000000 GM12878 whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 29 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel GM78 cell pA+ + 2\
subGroups view=PlusRawSignal cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CellPapPlusSignalRep2\
type bigWig 1.000000 218248.000000\
wgEncodeHaibTfbsGm12878Creb1sc240V0422111PkRep1 GM78 CREB1 V11 1 broadPeak GM12878 CREB1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 29 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CREB1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 CREB1 V11 1\
subGroups view=Peaks factor=CREB1SC240 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Creb1sc240V0422111PkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolPapMinusRawSigRep1 GM78 cyt pA+ - 1 bigWig 1.000000 387464.000000 GM12878 cytosol polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 29 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 cyt pA+ - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapMinusRawSigRep1\
type bigWig 1.000000 387464.000000\
wgEncodeSydhTfbsGm12878Irf3IggmusPk GM78 IRF3 IgM narrowPeak GM12878 IRF3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 29 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 IRF3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 IRF3 IgM\
subGroups view=Peaks factor=IRF3 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Irf3IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescChd1a301218aStdSig H1-hESC CHD1 bigWig 0.040000 32837.601562 H1-hESC CHD1 (A301-218A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 29 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC CHD1 (A301-218A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC CHD1\
subGroups view=Signal factor=CHD1A301218A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescChd1a301218aStdSig\
type bigWig 0.040000 32837.601562\
wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep4V2 H1ES 2x75 Sp 4 bam H1-hESC 200 bp paired read RNA-seq Splices Rep 4 from ENCODE/Caltech 0 29 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 200 bp paired read RNA-seq Splices Rep 4 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 2x75 Sp 4\
subGroups view=Splices cellType=t1H1HESC insertLength=il200 readType=a1R2x75 rep=rep4 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il200SplicesRep4V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapPlusRawRep1 H1ES cell TAP + 1 bigWig 1.000000 1064486.000000 H1-hESC TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 29 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal on\
shortLabel H1ES cell TAP + 1\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapPlusRawRep1\
type bigWig 1.000000 1064486.000000\
wgEncodeHaibGenotypeHcfRegionsRep1 HCF 1 bed 9 + HCF Copy number variants Replicate 1 from ENCODE/HAIB 0 29 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCF Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCF 1\
subGroups cellType=t3HCF obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHcfRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HcpeSitesRep1 HCPEpiC bed 9 HCPEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 29 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCPEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HCPEpiC\
subGroups cellType=t3HCPEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HcpeSitesRep1\
type bed 9\
wgEncodeUwRepliSeqHelas3WaveSignalRep1 HeLa-S3 Ws 1 bigWig -5.460803 85.228607 HeLa-S3 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 29 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal\
shortLabel HeLa-S3 Ws 1\
subGroups view=v4WaveSignal cellType=t2HELAS3 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHelas3WaveSignalRep1\
type bigWig -5.460803 85.228607\
wgEncodeUwTfbsHelas3CtcfStdRawRep2 HeLaS3 CTCF Sg 2 bigWig 1.000000 3763.000000 HeLa-S3 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 29 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HeLaS3 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t2HELAS3 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHelas3CtcfStdRawRep2\
type bigWig 1.000000 3763.000000\
wgEncodeUwDnaseHelas3PkRep1 HeLaS3 Pk 1 narrowPeak HeLa-S3 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 29 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HeLaS3 Pk 1\
subGroups view=Peaks cellType=t2HELAS3 rep=rep1 treatment=None\
track wgEncodeUwDnaseHelas3PkRep1\
type narrowPeak\
wgEncodeOpenChromFaireHepg2Sig HepG2 FAIRE DS bigWig 0.000000 0.832300 HepG2 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 29 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HepG2 FAIRE DS\
subGroups view=SIG cellType=t2HEPG2 treatment=AANONE\
track wgEncodeOpenChromFaireHepg2Sig\
type bigWig 0.000000 0.832300\
wgEncodeDukeAffyExonHuvecSimpleSignalRep2V2 HUVEC 2 bigBed 6 + HUVEC Exon array Signal Rep 2 from ENCODE/Duke 0 29 224 75 0 239 165 127 1 0 0 expression 1 color 224,75,0\
longLabel HUVEC Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HUVEC 2\
subGroups cellType=t2HUVEC treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHuvecSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUwHistoneK562H3k27me3StdHotspotsRep2 K562 H3K27M3 Ht 2 broadPeak K562 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 29 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K27M3 Ht 2\
subGroups view=Hot factor=H3K27ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdHotspotsRep2\
type broadPeak\
wgEncodeOpenChromChipK562InputSig K562 Input DS bigWig 0.000000 3.978400 K562 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 29 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal\
shortLabel K562 Input DS\
subGroups treatment=AANONE view=SIG factor=zCTRL cellType=t1K562\
track wgEncodeOpenChromChipK562InputSig\
type bigWig 0.000000 3.978400\
wgEncodeGisRnaPetK562NucleusPapClustersRep1 K562 nucl pA+ 1 bed 6 + K562 nucleus polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 29 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 nucl pA+ 1\
subGroups view=v1Clusters cellType=aK562 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleusPapClustersRep1\
type bed 6 +\
wgEncodeSunyRipSeqK562Pabpc1SigRep2 K562 PABPC1 2 bigWig 0.000000 57200.070312 K562 PABPC1 RIP-seq Signal Rep 2 from ENCODE/SUNY 2 29 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 PABPC1 RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 PABPC1 2\
subGroups view=Signal factor=PABPC1 cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562Pabpc1SigRep2\
type bigWig 0.000000 57200.070312\
wgEncodeGisChiaPetNb4Pol2InteractionsRep1 NB4 Pol2 Int 1 bed 12 NB4 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan 2 29 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NB4 Pol2 ChIA-PET Interactions Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetInteractions off\
shortLabel NB4 Pol2 Int 1\
subGroups view=Interactions factor=POL2 cellType=t3NB4 rep=rep1\
track wgEncodeGisChiaPetNb4Pol2InteractionsRep1\
type bed 12\
wgEncodeSydhHistoneNt2d1H3k09me3UcdSig NT2-D1 H3K9me3 bigWig 1.000000 86089.000000 NT2D1 H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 29 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel NT2-D1 H3K9me3\
subGroups view=Signal factor=H3K09ME3 cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k09me3UcdSig\
type bigWig 1.000000 86089.000000\
gtexEqtlTissueOvary ovary bed 9 + Expression QTL in Ovary from GTEx V6 0 29 255 182 193 255 218 224 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 255,182,193\
idInUrlSql select gene from gtexEqtlTissueOvary where name='%s'\
longLabel Expression QTL in Ovary from GTEx V6\
parent gtexEqtlTissue on\
shortLabel ovary\
track gtexEqtlTissueOvary\
dhcHumDerDenAncRegFixed RegRegion Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Regulatory Region 3 29 230 150 0 242 202 127 0 0 0 denisova 1 color 230,150,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Regulatory Region\
parent dhcHumDerDenAncReg off\
shortLabel RegRegion Fxd\
subGroups view=Reg subset=DC_Reg freq=Fixed\
track dhcHumDerDenAncRegFixed\
wgEncodeHaibRnaSeqSknshRawRep1 SK-N-SH 1 bigWig 0.139722 938.793030 SK-N-SH RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 29 0 0 0 127 127 127 0 0 0 expression 0 longLabel SK-N-SH RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel SK-N-SH 1\
subGroups view=RawSignal cellType=t2SKNSH treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqSknshRawRep1\
type bigWig 0.139722 938.793030\
Agilent_Human_Exon_V4_Regions SureSel. V4 T bigBed Agilent - SureSelect All Exon V4 Target Regions 0 29 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S03723314_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V4 Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V4 T\
track Agilent_Human_Exon_V4_Regions\
type bigBed\
pgNA19238CG YRI NA19238 pgSnp YRI NA19238 (Mother) (Complete Genomics) 0 29 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19238 (Mother) (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19238\
subGroups view=C_CG id=BJ_19238 type=SNP\
track pgNA19238CG\
netTetNig2 Tetraodon Net netAlign tetNig2 chainTetNig2 Tetraodon (Mar. 2007 (Genoscope 8.0/tetNig2)) Alignment Net 1 30 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Tetraodon (Mar. 2007 (Genoscope 8.0/tetNig2)) Alignment Net\
otherDb tetNig2\
parent vertebrateChainNetViewnet off\
shortLabel Tetraodon Net\
subGroups view=net species=s062 clade=c06\
track netTetNig2\
type netAlign tetNig2 chainTetNig2\
netSorAra2 Shrew Net netAlign sorAra2 chainSorAra2 Shrew (Aug. 2008 (Broad/sorAra2)) Alignment Net 1 30 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Shrew (Aug. 2008 (Broad/sorAra2)) Alignment Net\
otherDb sorAra2\
parent placentalChainNetViewnet off\
shortLabel Shrew Net\
subGroups view=net species=s093 clade=c04\
track netSorAra2\
type netAlign sorAra2 chainSorAra2\
wgEncodeOpenChromChipA549CtcfPkRep1 A549 CTCF Pk narrowPeak A549 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 30 0 0 0 127 127 127 1 0 0 regulation 1 longLabel A549 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel A549 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t2A549\
track wgEncodeOpenChromChipA549CtcfPkRep1\
type narrowPeak\
encTfChipPkENCFF648ZNE A549 NR3C1 3 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF648ZNE) 1 30 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF648ZNE)\
parent encTfChipPk off\
shortLabel A549 NR3C1 3\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF648ZNE\
wgEncodeHaibMethylRrbsAg10803UwSitesRep2 AG10803 2 bed 9 + AG10803 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 30 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AG10803 2\
subGroups cellType=t3AG10803 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAg10803UwSitesRep2\
type bed 9 +\
wgEncodeUwDgfAg10803Pk AG10803 Pk narrowPeak AG10803 DNaseI DGF Peaks from ENCODE/UW 0 30 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel AG10803 Pk\
subGroups view=Peaks cellType=t3AG10803 treatment=aNONE rep=rep1\
track wgEncodeUwDgfAg10803Pk\
type narrowPeak\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_ctss_rev AorticSmsToFgf2_02hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_reverse 0 30 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep2%20%28LK17%29.CNhs13363.12745-135I9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12745-135I9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_tpm_rev AorticSmsToFgf2_02hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_reverse 1 30 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep2%20%28LK17%29.CNhs13363.12745-135I9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep2 (LK17)_CNhs13363_12745-135I9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12745-135I9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep2LK17_CNhs13363_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12745-135I9\
urlLabel FANTOM5 Details:\
wgEncodeUwAffyExonArrayCaco2SimpleSignalRep1 Caco-2 1 broadPeak Caco-2 Exon array Signal Rep 1 from ENCODE/UW 0 30 0 0 0 127 127 127 0 0 0 expression 1 longLabel Caco-2 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel Caco-2 1\
subGroups cellType=t3CACO2 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayCaco2SimpleSignalRep1\
type broadPeak\
wgEncodeOpenChromDnaseCd20ro01794BaseOverlapSignal CD20 OS bigWig 0.000000 308.000000 B-cells CD20+ RO01794 DNaseI HS Overlap Signal from ENCODE/Duke 2 30 0 0 0 127 127 127 1 0 0 regulation 0 longLabel B-cells CD20+ RO01794 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel CD20 OS\
subGroups view=SIGBO cellType=t2BCELLSCD20RO01794 treatment=zNONE\
track wgEncodeOpenChromDnaseCd20ro01794BaseOverlapSignal\
type bigWig 0.000000 308.000000\
wgEncodeAwgTfbsSydhGm12878Ikzf1iknuclaUniPk GM12878 IKZF1 narrowPeak GM12878 TFBS Uniform Peaks of IKZF1_(IkN)_(UCLA) from ENCODE/USC/Analysis 1 30 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of IKZF1_(IkN)_(UCLA) from ENCODE/USC/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 IKZF1\
subGroups tier=a10 cellType=a10GM12878 factor=IKZF1 lab=USC\
track wgEncodeAwgTfbsSydhGm12878Ikzf1iknuclaUniPk\
wgEncodeAwgDnaseDukeGm12891UniPk GM12891 DNase narrowPeak GM12891 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 30 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12891 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM12891 DNase\
subGroups tier=a30 cellType=GM12891\
track wgEncodeAwgDnaseDukeGm12891UniPk\
wgEncodeRikenCageGm12878CellPapMinusSignalRep1 GM78 cell pA+ - 1 bigWig 1.000000 285019.000000 GM12878 whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 30 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 cell pA+ - 1\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CellPapMinusSignalRep1\
type bigWig 1.000000 285019.000000\
wgEncodeHaibTfbsGm12878Creb1sc240V0422111RawRep1 GM78 CREB1 V11 1 bigWig 1.000000 4919.000000 GM12878 CREB1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 30 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CREB1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 CREB1 V11 1\
subGroups view=RawSignal factor=CREB1SC240 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Creb1sc240V0422111RawRep1\
type bigWig 1.000000 4919.000000\
wgEncodeCshlLongRnaSeqGm12878CytosolPapMinusRawSigRep2 GM78 cyt pA+ - 2 bigWig 1.000000 652894.000000 GM12878 cytosol polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 30 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 cyt pA+ - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapMinusRawSigRep2\
type bigWig 1.000000 652894.000000\
wgEncodeSydhTfbsGm12878Irf3IggmusSig GM78 IRF3 IgM bigWig 1.000000 13791.000000 GM12878 IRF3 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 30 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 IRF3 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 IRF3 IgM\
subGroups view=Signal factor=IRF3 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Irf3IggmusSig\
type bigWig 1.000000 13791.000000\
wgEncodeBroadHistoneH1hescChd7a301223a1Pk H1-hESC CHD7 broadPeak H1-hESC CHD7 (A301-223A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 30 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC CHD7 (A301-223A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC CHD7\
subGroups view=Peaks factor=CHD7A301223A1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescChd7a301223a1Pk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR2x75Il400AlignsRep1V2 H1ES 400 A 1 bam H1-hESC 400 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 30 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 400 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 400 A 1\
subGroups view=Aligns cellType=t1H1HESC insertLength=il400 readType=a1R2x75400 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il400AlignsRep1V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapPlusRawRep2 H1ES cell TAP + 2 bigWig 1.000000 893102.000000 H1-hESC TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 30 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel H1ES cell TAP + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescCellShorttotalTapPlusRawRep2\
type bigWig 1.000000 893102.000000\
wgEncodeHaibGenotypeHcfRegionsRep2 HCF 2 bed 9 + HCF Copy number variants Replicate 2 from ENCODE/HAIB 0 30 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCF Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCF 2\
subGroups cellType=t3HCF obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHcfRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450Hct116HaibSitesRep1 HCT-116 HAIB bed 9 HCT-116 HAIB Methylation 450K Bead Array from ENCODE/HAIB 1 30 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 HAIB Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HCT-116 HAIB\
subGroups cellType=t3HCT116 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Hct116HaibSitesRep1\
type bed 9\
wgEncodeUwRepliSeqHelas3SumSignalRep1 HeLa-S3 Sd 1 bigWig 1.000000 2522.000000 HeLa-S3 Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 30 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel HeLa-S3 Sd 1\
subGroups view=v5SumSignal cellType=t2HELAS3 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHelas3SumSignalRep1\
type bigWig 1.000000 2522.000000\
wgEncodeUwTfbsHelas3InputStdRawRep1 HeLaS3 In Sg 1 bigWig 1.000000 10388.000000 HeLa-S3 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 30 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HeLaS3 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2HELAS3 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHelas3InputStdRawRep1\
type bigWig 1.000000 10388.000000\
wgEncodeUwDnaseHelas3RawRep1 HeLaS3 Sg 1 bigWig 1.000000 47453.000000 HeLa-S3 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 30 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HeLaS3 Sg 1\
subGroups view=zRSig cellType=t2HELAS3 rep=rep1 treatment=None\
track wgEncodeUwDnaseHelas3RawRep1\
type bigWig 1.000000 47453.000000\
wgEncodeOpenChromFaireHepg2BaseOverlapSignal HepG2 FAIRE OS bigWig 0.000000 4481.000000 HepG2 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 30 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HepG2 FAIRE OS\
subGroups view=SIGBO cellType=t2HEPG2 treatment=AANONE\
track wgEncodeOpenChromFaireHepg2BaseOverlapSignal\
type bigWig 0.000000 4481.000000\
wgEncodeUwHistoneK562H3k27me3StdPkRep2 K562 H3K27M3 Pk 2 narrowPeak K562 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 30 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K27M3 Pk 2\
subGroups view=Peaks factor=H3K27ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdPkRep2\
type narrowPeak\
wgEncodeGisRnaPetK562NucleusPapMinusRawSigRep1 K562 nucl pA+ - 1 bigWig 1.000000 203666.000000 K562 nucleus polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 30 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 nucl pA+ - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleusPapMinusRawSigRep1\
type bigWig 1.000000 203666.000000\
wgEncodeSunyRipSeqK562T7tagAlnRep1 K562 T7Tag 1 bam K562 T7Tag RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 30 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 T7Tag RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 T7Tag 1\
subGroups view=Alignments factor=T7Tag cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562T7tagAlnRep1\
type bam\
wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep1 MCF-7 CTCFsh 1 bigBed 6 + MCF-7 CTCF shRNA knockdown Exon array Signal Rep 1 from ENCODE/Duke 0 30 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 CTCF shRNA knockdown Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 CTCFsh 1\
subGroups cellType=t2MCF7 treatment=CTCFSHRNA rep=rep1\
track wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep1\
type bigBed 6 +\
wgEncodeGisChiaPetNb4Pol2SigRep1 NB4 Pol2 Sig 1 bigWig 1.000000 6024.000000 NB4 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan 2 30 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NB4 Pol2 ChIA-PET Signal Rep 1 from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPetSignal off\
shortLabel NB4 Pol2 Sig 1\
subGroups view=Signal factor=POL2 cellType=t3NB4 rep=rep1\
track wgEncodeGisChiaPetNb4Pol2SigRep1\
type bigWig 1.000000 6024.000000\
wgEncodeSydhHistoneNt2d1H3k9acbUcdPk NT2-D1 H3K9ac narrowPeak NT2D1 H3K9ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 30 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K9ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel NT2-D1 H3K9ac\
subGroups view=Peaks factor=H3K09acB cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k9acbUcdPk\
type narrowPeak\
gtexEqtlTissuePancreas pancreas bed 9 + Expression QTL in Pancreas from GTEx V6 0 30 205 155 29 230 205 142 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,155,29\
idInUrlSql select gene from gtexEqtlTissuePancreas where name='%s'\
longLabel Expression QTL in Pancreas from GTEx V6\
parent gtexEqtlTissue on\
shortLabel pancreas\
track gtexEqtlTissuePancreas\
dhcHumDerDenAncRegFixedDbSnp RegRegion FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Regulatory Region 3 30 230 150 0 242 202 127 0 0 0 denisova 1 color 230,150,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Regulatory Region\
parent dhcHumDerDenAncReg off\
shortLabel RegRegion FxS\
subGroups view=Reg subset=DC_Reg freq=FixedDbSnp\
track dhcHumDerDenAncRegFixedDbSnp\
wgEncodeHaibRnaSeqSknshAlnRep1 SK-N-SH 1 bam SK-N-SH RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 30 0 0 0 127 127 127 0 0 0 expression 1 longLabel SK-N-SH RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel SK-N-SH 1\
subGroups view=Alignments cellType=t2SKNSH treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqSknshAlnRep1\
type bam\
Agilent_Human_Exon_V4_UTRs_Covered SureSel. V4+UTR P bigBed Agilent - SureSelect All Exon V4 + UTRs Covered by Probe 0 30 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S03723424_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V4 + UTRs Covered by Probe\
parent exomeProbesets off\
shortLabel SureSel. V4+UTR P\
track Agilent_Human_Exon_V4_UTRs_Covered\
type bigBed\
pgNA19238indel YRI NA19238 indel pgSnp YRI NA19238 (Mother) indel (Complete Genomics) 0 30 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19238 (Mother) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19238 indel\
subGroups view=C_CG id=BJ_19238 type=Indel\
track pgNA19238indel\
chainPetMar2 Lamprey Chain chain petMar2 Lamprey (Sep. 2010 (WUGSC 7.0/petMar2)) Chained Alignments 3 31 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Lamprey (Sep. 2010 (WUGSC 7.0/petMar2)) Chained Alignments\
otherDb petMar2\
parent vertebrateChainNetViewchain off\
shortLabel Lamprey Chain\
subGroups view=chain species=s064b clade=c07\
track chainPetMar2\
type chain petMar2\
chainCerSim1 White rhinoceros Chain chain cerSim1 White rhinoceros (May 2012 (CerSimSim1.0/cerSim1)) Chained Alignments 3 31 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel White rhinoceros (May 2012 (CerSimSim1.0/cerSim1)) Chained Alignments\
otherDb cerSim1\
parent placentalChainNetViewchain off\
shortLabel White rhinoceros Chain\
subGroups view=chain species=s095 clade=c05\
track chainCerSim1\
type chain cerSim1\
wgEncodeOpenChromChipA549CtcfSig A549 CTCF DS bigWig 0.000000 8.870100 A549 CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 31 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel A549 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t2A549\
track wgEncodeOpenChromChipA549CtcfSig\
type bigWig 0.000000 8.870100\
encTfChipPkENCFF150STV A549 NR3C1 4 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF150STV) 1 31 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF150STV)\
parent encTfChipPk off\
shortLabel A549 NR3C1 4\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF150STV\
wgEncodeUwDgfAg10803Sig AG10803 Sig bigWig 1.000000 106260.000000 AG10803 DNaseI DGF Per-base Signal from ENCODE/UW 2 31 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG10803 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel AG10803 Sig\
subGroups view=Signal cellType=t3AG10803 treatment=aNONE rep=rep1\
track wgEncodeUwDgfAg10803Sig\
type bigWig 1.000000 106260.000000\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_ctss_fwd AorticSmsToFgf2_02hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_forward 0 31 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep3%20%28LK18%29.CNhs13572.12843-137B8.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12843-137B8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_tpm_fwd AorticSmsToFgf2_02hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_forward 1 31 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep3%20%28LK18%29.CNhs13572.12843-137B8.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12843-137B8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8\
urlLabel FANTOM5 Details:\
wgEncodeHaibMethylRrbsAosmcDukeSitesRep1 AoSMC 1 bed 9 + AoSMC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 31 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoSMC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AoSMC 1\
subGroups cellType=t3AOSMC obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsAosmcDukeSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayCaco2SimpleSignalRep2 Caco-2 2 broadPeak Caco-2 Exon array Signal Rep 2 from ENCODE/UW 0 31 0 0 0 127 127 127 0 0 0 expression 1 longLabel Caco-2 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel Caco-2 2\
subGroups cellType=t3CACO2 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayCaco2SimpleSignalRep2\
type broadPeak\
wgEncodeAwgTfbsHaibGm12878Irf4sc6059Pcr1xUniPk GM12878 IRF4 narrowPeak GM12878 TFBS Uniform Peaks of IRF4_(SC-6059) from ENCODE/HudsonAlpha/Analysis 1 31 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of IRF4_(SC-6059) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 IRF4\
subGroups tier=a10 cellType=a10GM12878 factor=IRF4 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Irf4sc6059Pcr1xUniPk\
wgEncodeAwgDnaseDukeGm12892UniPk GM12892 DNase narrowPeak GM12892 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 31 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12892 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM12892 DNase\
subGroups tier=a30 cellType=GM12892\
track wgEncodeAwgDnaseDukeGm12892UniPk\
wgEncodeRikenCageGm12878CellPapMinusSignalRep2 GM78 cell pA+ - 2 bigWig 1.000000 304430.000000 GM12878 whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 31 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel GM78 cell pA+ - 2\
subGroups view=MinusRawSignal cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CellPapMinusSignalRep2\
type bigWig 1.000000 304430.000000\
wgEncodeHaibTfbsGm12878Creb1sc240V0422111PkRep2 GM78 CREB1 V11 2 broadPeak GM12878 CREB1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 31 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 CREB1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 CREB1 V11 2\
subGroups view=Peaks factor=CREB1SC240 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Creb1sc240V0422111PkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878CytosolPapPlusRawSigRep1 GM78 cyt pA+ + 1 bigWig 1.000000 1310264.000000 GM12878 cytosol polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 31 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 cyt pA+ + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapPlusRawSigRep1\
type bigWig 1.000000 1310264.000000\
wgEncodeSydhTfbsGm12878JundIggrabPk GM78 JunD IgR narrowPeak GM12878 JunD IgG-rab ChIP-seq Peaks from ENCODE/SYDH 3 31 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 JunD IgG-rab ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 JunD IgR\
subGroups view=Peaks factor=JUND cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878JundIggrabPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescChd7a301223a1Sig H1-hESC CHD7 bigWig 0.040000 400.000000 H1-hESC CHD7 (A301-223A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 31 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC CHD7 (A301-223A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC CHD7\
subGroups view=Signal factor=CHD7A301223A1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescChd7a301223a1Sig\
type bigWig 0.040000 400.000000\
wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il400SigRep1V4 H1ES 400 Sg 1 bigWig 0.025000 239583.453125 H1-hESC 400 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 31 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC 400 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel H1ES 400 Sg 1\
subGroups view=Signal cellType=t1H1HESC insertLength=il400 readType=a1R2x75400 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Th1014Il400SigRep1V4\
type bigWig 0.025000 239583.453125\
wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapContigsV2 H1ES cyto TAP C bed 6 H1-hESC TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL 2 31 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel H1ES cyto TAP C\
subGroups view=Contigs cellType=t1H1HESC localization=CYTOSOL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapContigsV2\
type bed 6\
wgEncodeHaibGenotypeHcmRegionsRep1 HCM 1 bed 9 + HCM Copy number variants Replicate 1 from ENCODE/HAIB 0 31 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCM Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCM 1\
subGroups cellType=t3HCM obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHcmRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450Hct116StanfordSitesRep1 HCT-116 Stanford bed 9 HCT-116 Stanford Methylation 450K Bead Array from ENCODE/HAIB 1 31 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 Stanford Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HCT-116 Stanford\
subGroups cellType=t3HCT116 obtainedBy=Stanford treatment=zNONE\
track wgEncodeHaibMethyl450Hct116StanfordSitesRep1\
type bed 9\
wgEncodeUwDnaseHelas3HotspotsRep2 HeLaS3 Ht 2 broadPeak HeLa-S3 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 31 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HeLaS3 Ht 2\
subGroups view=Hot cellType=t2HELAS3 rep=rep2 treatment=None\
track wgEncodeUwDnaseHelas3HotspotsRep2\
type broadPeak\
wgEncodeOpenChromDnaseHelas3Ifna4hPk HeLaS3 IFNa 4h Pk narrowPeak HeLa-S3 IFN-a 4 h DNaseI HS Peaks from ENCODE/Duke 3 31 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 IFN-a 4 h DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel HeLaS3 IFNa 4h Pk\
subGroups view=Peaks cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromDnaseHelas3Ifna4hPk\
type narrowPeak\
wgEncodeUwTfbsHepg2CtcfStdHotspotsRep1 HepG2 CTCF Ht 1 broadPeak HepG2 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 31 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HepG2 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t2HEPG2 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeUwRepliSeqHepg2G1bPctSignalRep1 HepG2 G1b 1 bigWig 1.000000 100.000000 HepG2 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 31 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 G1b 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqHepg2G1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromFaireHuvecPk HUVEC FAIRE Pk narrowPeak HUVEC FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 31 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HUVEC FAIRE Pk\
subGroups view=Peaks cellType=t2HUVEC treatment=AANONE\
track wgEncodeOpenChromFaireHuvecPk\
type narrowPeak\
wgEncodeUwHistoneK562H3k27me3StdRawRep2 K562 H3K27M3 Sg 2 bigWig 1.000000 5758.000000 K562 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 31 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K27M3 Sg 2\
subGroups view=zRSig factor=H3K27ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k27me3StdRawRep2\
type bigWig 1.000000 5758.000000\
wgEncodeGisRnaPetK562NucleusPapPlusRawSigRep1 K562 nucl pA+ + 1 bigWig 1.000000 83090.000000 K562 nucleus polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 31 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 nucl pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleusPapPlusRawSigRep1\
type bigWig 1.000000 83090.000000\
wgEncodeSunyRipSeqK562T7tagAlnRep2 K562 T7Tag 2 bam K562 T7Tag RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 31 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 T7Tag RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 T7Tag 2\
subGroups view=Alignments factor=T7Tag cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562T7tagAlnRep2\
type bam\
wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep2 MCF-7 CTCFsh 2 bigBed 6 + MCF-7 CTCF shRNA knockdown Exon array Signal Rep 2 from ENCODE/Duke 0 31 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 CTCF shRNA knockdown Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 CTCFsh 2\
subGroups cellType=t2MCF7 treatment=CTCFSHRNA rep=rep2\
track wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep2\
type bigBed 6 +\
wgEncodeSydhHistoneNt2d1H3k9acbUcdSig NT2-D1 H3K9ac bigWig 1.000000 6350.000000 NT2D1 H3K9ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 31 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K9ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel NT2-D1 H3K9ac\
subGroups view=Signal factor=H3K09acB cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k9acbUcdSig\
type bigWig 1.000000 6350.000000\
gtexEqtlTissuePituitary pituitary bed 9 + Expression QTL in Pituitary from GTEx V6 0 31 180 238 180 217 246 217 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 180,238,180\
idInUrlSql select gene from gtexEqtlTissuePituitary where name='%s'\
longLabel Expression QTL in Pituitary from GTEx V6\
parent gtexEqtlTissue on\
shortLabel pituitary\
track gtexEqtlTissuePituitary\
dhcHumDerDenAncRegHighFreq RegRegion HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Regulatory Region 3 31 230 150 0 242 202 127 0 0 0 denisova 1 color 230,150,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Regulatory Region\
parent dhcHumDerDenAncReg off\
shortLabel RegRegion HiF\
subGroups view=Reg subset=DC_Reg freq=HighFreq\
track dhcHumDerDenAncRegHighFreq\
wgEncodeHaibRnaSeqSknshRawRep2 SK-N-SH 2 bigWig 0.149537 705.216003 SK-N-SH RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 31 0 0 0 127 127 127 0 0 0 expression 0 longLabel SK-N-SH RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel SK-N-SH 2\
subGroups view=RawSignal cellType=t2SKNSH treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqSknshRawRep2\
type bigWig 0.149537 705.216003\
Agilent_Human_Exon_V4_UTRs_Regions SureSel. V4+UTR T bigBed Agilent - SureSelect All Exon V4 + UTRs Target Regions 0 31 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S03723424_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V4 + UTRs Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V4+UTR T\
track Agilent_Human_Exon_V4_UTRs_Regions\
type bigBed\
pgNA19239CG YRI NA19239 pgSnp YRI NA19239 (Father) (Complete Genomics) 0 31 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19239 (Father) (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19239\
subGroups view=C_CG id=BK_19239 type=SNP\
track pgNA19239CG\
netPetMar2 Lamprey Net netAlign petMar2 chainPetMar2 Lamprey (Sep. 2010 (WUGSC 7.0/petMar2)) Alignment Net 1 32 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Lamprey (Sep. 2010 (WUGSC 7.0/petMar2)) Alignment Net\
otherDb petMar2\
parent vertebrateChainNetViewnet off\
shortLabel Lamprey Net\
subGroups view=net species=s064b clade=c07\
track netPetMar2\
type netAlign petMar2 chainPetMar2\
netCerSim1 White rhinoceros Net netAlign cerSim1 chainCerSim1 White rhinoceros (May 2012 (CerSimSim1.0/cerSim1)) Alignment Net 1 32 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel White rhinoceros (May 2012 (CerSimSim1.0/cerSim1)) Alignment Net\
otherDb cerSim1\
parent placentalChainNetViewnet off\
shortLabel White rhinoceros Net\
subGroups view=net species=s095 clade=c05\
track netCerSim1\
type netAlign cerSim1 chainCerSim1\
wgEncodeOpenChromChipA549CtcfBaseOverlapSignal A549 CTCF OS bigWig 0.000000 4497.000000 A549 CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 32 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel A549 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t2A549\
track wgEncodeOpenChromChipA549CtcfBaseOverlapSignal\
type bigWig 0.000000 4497.000000\
encTfChipPkENCFF495YRW A549 NR3C1 5 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF495YRW) 1 32 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF495YRW)\
parent encTfChipPk off\
shortLabel A549 NR3C1 5\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF495YRW\
wgEncodeUwDgfAg10803Raw AG10803 Raw bigWig 1.000000 335063.000000 AG10803 DNaseI DGF Raw Signal from ENCODE/UW 0 32 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG10803 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel AG10803 Raw\
subGroups view=zRaw cellType=t3AG10803 treatment=aNONE rep=rep1\
track wgEncodeUwDgfAg10803Raw\
type bigWig 1.000000 335063.000000\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_ctss_rev AorticSmsToFgf2_02hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_reverse 0 32 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep3%20%28LK18%29.CNhs13572.12843-137B8.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12843-137B8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_02hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_tpm_rev AorticSmsToFgf2_02hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_reverse 1 32 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2002hr%2c%20biol_rep3%20%28LK18%29.CNhs13572.12843-137B8.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 02hr, biol_rep3 (LK18)_CNhs13572_12843-137B8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12843-137B8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_02hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF202hrBiolRep3LK18_CNhs13572_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12843-137B8\
urlLabel FANTOM5 Details:\
wgEncodeHaibMethylRrbsAosmcDukeSitesRep2 AoSMC 2 bed 9 + AoSMC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 32 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoSMC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel AoSMC 2\
subGroups cellType=t3AOSMC obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsAosmcDukeSitesRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayCmkSimpleSignalRep1 CMK 1 broadPeak CMK Exon array Signal Rep 1 from ENCODE/UW 0 32 0 0 0 127 127 127 0 0 0 expression 1 longLabel CMK Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel CMK 1\
subGroups cellType=t3CMK rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayCmkSimpleSignalRep1\
type broadPeak\
dhcHumDerDenAncFrameshiftCodingFixed FrShft Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Frameshift Coding 0 32 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Frameshift Coding\
parent dhcHumDerDenAncEns\
shortLabel FrShft Fxd\
subGroups view=Ens subset=FrameshiftCoding freq=Fixed\
track dhcHumDerDenAncFrameshiftCodingFixed\
wgEncodeAwgTfbsSydhGm12878JundUniPk GM12878 JUND narrowPeak GM12878 TFBS Uniform Peaks of JunD from ENCODE/Yale/Analysis 1 32 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of JunD from ENCODE/Yale/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 JUND\
subGroups tier=a10 cellType=a10GM12878 factor=JUND lab=Yale\
track wgEncodeAwgTfbsSydhGm12878JundUniPk\
wgEncodeAwgDnaseDukeGm18507UniPk GM18507 DNase narrowPeak GM18507 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 32 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM18507 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM18507 DNase\
subGroups tier=a30 cellType=GM18507\
track wgEncodeAwgDnaseDukeGm18507UniPk\
wgEncodeRikenCageGm12878CellPapAlnRep1 GM78 cell pA+ A 1 bam GM12878 whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 32 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 cell pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageGm12878CellPapAlnRep1\
type bam\
wgEncodeHaibTfbsGm12878Creb1sc240V0422111RawRep2 GM78 CREB1 V11 2 bigWig 1.000000 2888.000000 GM12878 CREB1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 32 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 CREB1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 CREB1 V11 2\
subGroups view=RawSignal factor=CREB1SC240 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Creb1sc240V0422111RawRep2\
type bigWig 1.000000 2888.000000\
wgEncodeCshlLongRnaSeqGm12878CytosolPapPlusRawSigRep2 GM78 cyt pA+ + 2 bigWig 1.000000 755125.000000 GM12878 cytosol polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 32 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 cytosol polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 cyt pA+ + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878CytosolPapPlusRawSigRep2\
type bigWig 1.000000 755125.000000\
wgEncodeSydhTfbsGm12878JundIggrabSig GM78 JunD IgR bigWig 1.000000 416.000000 GM12878 JunD IgG-rab ChIP-seq Signal from ENCODE/SYDH 2 32 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 JunD IgG-rab ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 JunD IgR\
subGroups view=Signal factor=JUND cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878JundIggrabSig\
type bigWig 1.000000 416.000000\
wgEncodeBroadHistoneH1hescCtcfStdPk H1-hESC CTCF broadPeak H1-hESC CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 32 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC CTCF\
subGroups view=Peaks factor=CTCF cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescCtcfStdPk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR2x75Il400SplicesRep1V2 H1ES 400 Sp 1 bam H1-hESC 400 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 32 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC 400 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 400 Sp 1\
subGroups view=Splices cellType=t1H1HESC insertLength=il400 readType=a1R2x75400 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR2x75Il400SplicesRep1V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapMinusRawRep2 H1ES cyto TAP - 2 bigWig 1.000000 8090327.000000 H1-hESC TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 32 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel H1ES cyto TAP - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapMinusRawRep2\
type bigWig 1.000000 8090327.000000\
wgEncodeHaibGenotypeHcmRegionsRep2 HCM 2 bed 9 + HCM Copy number variants Replicate 2 from ENCODE/HAIB 0 32 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCM Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCM 2\
subGroups cellType=t3HCM obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHcmRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450HeeSitesRep1 HEEpiC bed 9 HEEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 32 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HEEpiC\
subGroups cellType=t3HEEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HeeSitesRep1\
type bed 9\
wgEncodeOpenChromDnaseHelas3Ifna4hSig HeLaS3 IFNa 4h DS bigWig 0.000000 0.761900 HeLa-S3 IFN-a 4 h DNaseI HS Density Signal from ENCODE/Duke 2 32 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFN-a 4 h DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel HeLaS3 IFNa 4h DS\
subGroups view=SIG cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromDnaseHelas3Ifna4hSig\
type bigWig 0.000000 0.761900\
wgEncodeUwDnaseHelas3PkRep2 HeLaS3 Pk 2 narrowPeak HeLa-S3 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 32 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HeLaS3 Pk 2\
subGroups view=Peaks cellType=t2HELAS3 rep=rep2 treatment=None\
track wgEncodeUwDnaseHelas3PkRep2\
type narrowPeak\
wgEncodeUwTfbsHepg2CtcfStdPkRep1 HepG2 CTCF Pk 1 narrowPeak HepG2 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 32 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HepG2 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t2HEPG2 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdPkRep1\
type narrowPeak\
wgEncodeUwRepliSeqHepg2S1PctSignalRep1 HepG2 S1 1 bigWig 1.000000 100.000000 HepG2 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 32 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 S1 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqHepg2S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromFaireHuvecSig HUVEC FAIRE DS bigWig 0.000000 1.260500 HUVEC FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 32 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HUVEC FAIRE DS\
subGroups view=SIG cellType=t2HUVEC treatment=AANONE\
track wgEncodeOpenChromFaireHuvecSig\
type bigWig 0.000000 1.260500\
wgEncodeUwHistoneK562H3k36me3StdHotspotsRep1 K562 H3K36M3 Ht 1 broadPeak K562 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 32 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K36M3 Ht 1\
subGroups view=Hot factor=H3K36ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaPetK562NucleusPapAlnRep1 K562 nucl pA+ A 1 bam K562 nucleus polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 32 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 nucl pA+ A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562NucleusPapAlnRep1\
type bam\
wgEncodeSunyRipSeqK562T7tagSigRep1 K562 T7Tag 1 bigWig 0.000000 74535.296875 K562 T7Tag RIP-seq Signal Rep 1 from ENCODE/SUNY 2 32 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 T7Tag RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 T7Tag 1\
subGroups view=Signal factor=T7Tag cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562T7tagSigRep1\
type bigWig 0.000000 74535.296875\
wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep3 MCF-7 CTCFsh 3 bigBed 6 + MCF-7 CTCF shRNA knockdown Exon array Signal Rep 3 from ENCODE/Duke 0 32 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 CTCF shRNA knockdown Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 CTCFsh 3\
subGroups cellType=t2MCF7 treatment=CTCFSHRNA rep=rep3\
track wgEncodeDukeAffyExonMcf7CtcfshrnaSimpleSignalRep3\
type bigBed 6 +\
wgEncodeSydhHistoneNt2d1H3k27me3bUcdPk NT2-D1 H3K27me3 narrowPeak NT2D1 H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 32 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel NT2-D1 H3K27me3\
subGroups view=Peaks factor=H3K27me3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k27me3bUcdPk\
type narrowPeak\
gtexEqtlTissueProstate prostate bed 9 + Expression QTL in Prostate from GTEx V6 0 32 217 217 217 236 236 236 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 217,217,217\
idInUrlSql select gene from gtexEqtlTissueProstate where name='%s'\
longLabel Expression QTL in Prostate from GTEx V6\
parent gtexEqtlTissue on\
shortLabel prostate\
track gtexEqtlTissueProstate\
wgEncodeHaibRnaSeqSknshAlnRep2 SK-N-SH 2 bam SK-N-SH RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 32 0 0 0 127 127 127 0 0 0 expression 1 longLabel SK-N-SH RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel SK-N-SH 2\
subGroups view=Alignments cellType=t2SKNSH treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqSknshAlnRep2\
type bam\
Agilent_Human_Exon_V5_Covered SureSel. V5 P bigBed Agilent - SureSelect All Exon V5 Covered by Probes 0 32 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S04380110_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V5 Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V5 P\
track Agilent_Human_Exon_V5_Covered\
type bigBed\
pgNA19239indel YRI NA19239 indel pgSnp YRI NA19239 (Father) indel (Complete Genomics) 0 32 0 0 0 127 127 127 0 0 0 varRep 1 longLabel YRI NA19239 (Father) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel YRI NA19239 indel\
subGroups view=C_CG id=BK_19239 type=Indel\
track pgNA19239indel\
chainEquCab2 Horse Chain chain equCab2 Horse (Sep. 2007 (Broad/equCab2)) Chained Alignments 3 33 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Horse (Sep. 2007 (Broad/equCab2)) Chained Alignments\
otherDb equCab2\
parent placentalChainNetViewchain off\
shortLabel Horse Chain\
subGroups view=chain species=s096b clade=c05\
track chainEquCab2\
type chain equCab2\
encTfChipPkENCFF841IFL A549 NR3C1 6 narrowPeak Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF841IFL) 1 33 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of NR3C1 in A549 from ENCODE 3 (ENCFF841IFL)\
parent encTfChipPk off\
shortLabel A549 NR3C1 6\
subGroups cellType=A549 factor=NR3C1\
track encTfChipPkENCFF841IFL\
wgEncodeOpenChromChipA549Pol2PkRep1 A549 Pol2 Pk narrowPeak A549 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 33 0 0 0 127 127 127 1 0 0 regulation 1 longLabel A549 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel A549 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t2A549\
track wgEncodeOpenChromChipA549Pol2PkRep1\
type narrowPeak\
wgEncodeUwDgfAoafHotspots AoAF Hot broadPeak AoAF DNaseI DGF Hotspots from ENCODE/UW 0 33 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF DNaseI DGF Hotspots from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewHotspots off\
shortLabel AoAF Hot\
subGroups view=Hotspots cellType=t3AOAF treatment=aNONE rep=rep1\
track wgEncodeUwDgfAoafHotspots\
type broadPeak\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_ctss_fwd AorticSmsToFgf2_03hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_forward 0 33 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep1%20%28LK19%29.CNhs13345.12648-134H2.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12648-134H2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_tpm_fwd AorticSmsToFgf2_03hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_forward 1 33 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep1%20%28LK19%29.CNhs13345.12648-134H2.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12648-134H2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2\
urlLabel FANTOM5 Details:\
wgEncodeHaibRnaSeqBe2cRawRep1 BE2_C 1 bigWig 0.231311 1122.900024 BE2_C RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 33 0 0 0 127 127 127 0 0 0 expression 0 longLabel BE2_C RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel BE2_C 1\
subGroups view=RawSignal cellType=t3BE2C treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqBe2cRawRep1\
type bigWig 0.231311 1122.900024\
wgEncodeHaibMethylRrbsBe2cHaibSitesRep1 BE2_C 1 bed 9 + BE2 C Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 33 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2 C Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel BE2_C 1\
subGroups cellType=t3BE2C obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsBe2cHaibSitesRep1\
type bed 9 +\
dhcHumDerDenAncFrameshiftCodingFixedDbSnp FrShft FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Frameshift Coding 0 33 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Frameshift Coding\
parent dhcHumDerDenAncEns\
shortLabel FrShft FxS\
subGroups view=Ens subset=FrameshiftCoding freq=FixedDbSnp\
track dhcHumDerDenAncFrameshiftCodingFixedDbSnp\
wgEncodeUwAffyExonArrayGm06990SimpleSignalRep1 GM06990 1 broadPeak GM06990 Exon array Signal Rep 1 from ENCODE/UW 0 33 0 0 0 127 127 127 0 0 0 expression 1 longLabel GM06990 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel GM06990 1\
subGroups cellType=t3GM06990 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayGm06990SimpleSignalRep1\
type broadPeak\
wgEncodeAwgTfbsSydhGm12878MaxIggmusUniPk GM12878 MAX narrowPeak GM12878 TFBS Uniform Peaks of Max from ENCODE/Stanford/Analysis 1 33 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Max from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MAX\
subGroups tier=a10 cellType=a10GM12878 factor=MAX lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878MaxIggmusUniPk\
wgEncodeAwgDnaseDukeGm19238UniPk GM19238 DNase narrowPeak GM19238 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 33 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM19238 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM19238 DNase\
subGroups tier=a30 cellType=GM19238\
track wgEncodeAwgDnaseDukeGm19238UniPk\
wgEncodeRikenCageGm12878CellPapAlnRep2 GM78 cell pA+ A 2 bam GM12878 whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 33 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel GM78 cell pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageGm12878CellPapAlnRep2\
type bam\
wgEncodeHaibTfbsGm12878Ebfsc137065Pcr1xPkRep1 GM78 EBF1 PCR1 1 broadPeak GM12878 EBF1 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 33 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 EBF1 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 EBF1 PCR1 1\
subGroups view=Peaks factor=EBF1SC137065 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Ebfsc137065Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878JundStdPk GM78 JunD Std narrowPeak GM12878 JunD Standard ChIP-seq Peaks from ENCODE/SYDH 3 33 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 JunD Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 JunD Std\
subGroups view=Peaks factor=JUND cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878JundStdPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalAlnRep3 GM78 nlus tot A 3 bam GM12878 nucleolus total RNA-seq Alignments Rep 3 from ENCODE/CSHL 0 33 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Alignments Rep 3 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nlus tot A 3\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep3 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalAlnRep3\
type bam\
wgEncodeBroadHistoneH1hescCtcfStdSig H1-hESC CTCF bigWig 0.040000 23906.279297 H1-hESC CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 33 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC CTCF\
subGroups view=Signal factor=CTCF cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescCtcfStdSig\
type bigWig 0.040000 23906.279297\
wgEncodeCaltechRnaSeqH1hescR1x75dAlignsRep1V2 H1ES 1x75D A 1 bam H1-hESC single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 33 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 1x75D A 1\
subGroups view=Aligns cellType=t1H1HESC insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dAlignsRep1V2\
type bam\
wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapPlusRawRep2 H1ES cyto TAP + 2 bigWig 1.000000 448478.000000 H1-hESC TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 33 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel H1ES cyto TAP + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescCytosolShorttotalTapPlusRawRep2\
type bigWig 1.000000 448478.000000\
wgEncodeHaibGenotypeHcpeRegionsRep1 HCPEpiC 1 bed 9 + HCPEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 33 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCPEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCPEpiC 1\
subGroups cellType=t3HCPEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHcpeRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450Hek293SitesRep1 HEK293 bed 9 HEK293 Methylation 450K Bead Array from ENCODE/HAIB 1 33 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEK293 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HEK293\
subGroups cellType=t3HEK293 obtainedBy=Stanford treatment=zNONE\
track wgEncodeHaibMethyl450Hek293SitesRep1\
type bed 9\
wgEncodeOpenChromDnaseHelas3Ifna4hBaseOverlapSignal HeLaS3 IFNa 4h OS bigWig 0.000000 224.000000 HeLa-S3 IFN-a 4 h DNaseI HS Overlap Signal from ENCODE/Duke 2 33 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 IFN-a 4 h DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel HeLaS3 IFNa 4h OS\
subGroups view=SIGBO cellType=t2HELAS3 treatment=IFNa4h\
track wgEncodeOpenChromDnaseHelas3Ifna4hBaseOverlapSignal\
type bigWig 0.000000 224.000000\
wgEncodeUwDnaseHelas3RawRep2 HeLaS3 Sg 2 bigWig 1.000000 48046.000000 HeLa-S3 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 33 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HeLaS3 Sg 2\
subGroups view=zRSig cellType=t2HELAS3 rep=rep2 treatment=None\
track wgEncodeUwDnaseHelas3RawRep2\
type bigWig 1.000000 48046.000000\
wgEncodeUwTfbsHepg2CtcfStdRawRep1 HepG2 CTCF Sg 1 bigWig 1.000000 2546.000000 HepG2 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 33 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HepG2 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t2HEPG2 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdRawRep1\
type bigWig 1.000000 2546.000000\
wgEncodeUwRepliSeqHepg2S2PctSignalRep1 HepG2 S2 1 bigWig 1.000000 100.000000 HepG2 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 33 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 S2 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqHepg2S2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromFaireHuvecBaseOverlapSignal HUVEC FAIRE OS bigWig 0.000000 2531.000000 HUVEC FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 33 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HUVEC FAIRE OS\
subGroups view=SIGBO cellType=t2HUVEC treatment=AANONE\
track wgEncodeOpenChromFaireHuvecBaseOverlapSignal\
type bigWig 0.000000 2531.000000\
wgEncodeUwHistoneK562H3k36me3StdPkRep1 K562 H3K36M3 Pk 1 narrowPeak K562 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 33 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K36M3 Pk 1\
subGroups view=Peaks factor=H3K36ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdPkRep1\
type narrowPeak\
wgEncodeGisRnaPetK562PolysomePapClustersRep1 K562 poly pA+ 1 bed 6 + K562 polysome polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 33 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polysome polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel K562 poly pA+ 1\
subGroups view=v1Clusters cellType=aK562 cloned=Based localization=polysome rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562PolysomePapClustersRep1\
type bed 6 +\
wgEncodeSunyRipSeqK562T7tagSigRep2 K562 T7Tag 2 bigWig 0.000000 51895.449219 K562 T7Tag RIP-seq Signal Rep 2 from ENCODE/SUNY 2 33 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 T7Tag RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 T7Tag 2\
subGroups view=Signal factor=T7Tag cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562T7tagSigRep2\
type bigWig 0.000000 51895.449219\
wgEncodeDukeAffyExonMcf7EstroSimpleSignalRep1V2 MCF-7 ESTRO 1 bigBed 6 + MCF-7 Estradiol 100 nM Exon array Signal Rep 1 from ENCODE/Duke 0 33 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Estradiol 100 nM Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 ESTRO 1\
subGroups cellType=t2MCF7 treatment=ESTRO rep=rep1\
track wgEncodeDukeAffyExonMcf7EstroSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeSydhHistoneNt2d1H3k27me3bUcdSig NT2-D1 H3K27me3 bigWig 1.000000 17024.000000 NT2D1 H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 33 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel NT2-D1 H3K27me3\
subGroups view=Signal factor=H3K27me3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k27me3bUcdSig\
type bigWig 1.000000 17024.000000\
pgHG00731 PUR father '731 pgSnp PUR Trio Father HG00731 (Complete Genomics) 0 33 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel PUR Trio Father HG00731 (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR father '731\
subGroups view=C_CG id=CA_PUR_731 type=SNP\
track pgHG00731\
gtexEqtlTissueSkinExposed skinExposed bed 9 + Expression QTL in Skin_Sun_Exposed_Lower_leg from GTEx V6 0 33 30 144 255 142 199 255 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 30,144,255\
idInUrlSql select gene from gtexEqtlTissueSkinExposed where name='%s'\
longLabel Expression QTL in Skin_Sun_Exposed_Lower_leg from GTEx V6\
parent gtexEqtlTissue on\
shortLabel skinExposed\
track gtexEqtlTissueSkinExposed\
Agilent_Human_Exon_V5_Regions SureSel. V5 T bigBed Agilent - SureSelect All Exon V5 Target Regions 0 33 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S04380110_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V5 Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V5 T\
track Agilent_Human_Exon_V5_Regions\
type bigBed\
netEquCab2 Horse Net netAlign equCab2 chainEquCab2 Horse (Sep. 2007 (Broad/equCab2)) Alignment Net 1 34 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Horse (Sep. 2007 (Broad/equCab2)) Alignment Net\
otherDb equCab2\
parent placentalChainNetViewnet off\
shortLabel Horse Net\
subGroups view=net species=s096b clade=c05\
track netEquCab2\
type netAlign equCab2 chainEquCab2\
encTfChipPkENCFF890IRR A549 PHF8 narrowPeak Transcription Factor ChIP-seq Peaks of PHF8 in A549 from ENCODE 3 (ENCFF890IRR) 1 34 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of PHF8 in A549 from ENCODE 3 (ENCFF890IRR)\
parent encTfChipPk off\
shortLabel A549 PHF8\
subGroups cellType=A549 factor=PHF8\
track encTfChipPkENCFF890IRR\
wgEncodeOpenChromChipA549Pol2Sig A549 Pol2 DS bigWig 0.000000 1.908100 A549 Pol2 TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 34 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 Pol2 TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel A549 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t2A549\
track wgEncodeOpenChromChipA549Pol2Sig\
type bigWig 0.000000 1.908100\
wgEncodeUwDgfAoafPk AoAF Pk narrowPeak AoAF DNaseI DGF Peaks from ENCODE/UW 0 34 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF DNaseI DGF Peaks from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewPeaks off\
shortLabel AoAF Pk\
subGroups view=Peaks cellType=t3AOAF treatment=aNONE rep=rep1\
track wgEncodeUwDgfAoafPk\
type narrowPeak\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_ctss_rev AorticSmsToFgf2_03hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_reverse 0 34 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep1%20%28LK19%29.CNhs13345.12648-134H2.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12648-134H2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_tpm_rev AorticSmsToFgf2_03hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_reverse 1 34 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep1%20%28LK19%29.CNhs13345.12648-134H2.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep1 (LK19)_CNhs13345_12648-134H2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12648-134H2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep1LK19_CNhs13345_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12648-134H2\
urlLabel FANTOM5 Details:\
wgEncodeHaibRnaSeqBe2cAlnRep1 BE2_C 1 bam BE2_C RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 34 0 0 0 127 127 127 0 0 0 expression 1 longLabel BE2_C RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel BE2_C 1\
subGroups view=Alignments cellType=t3BE2C treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqBe2cAlnRep1\
type bam\
wgEncodeHaibMethylRrbsBe2cHaibSitesRep2 BE2_C 2 bed 9 + BE2 C Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 34 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2 C Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel BE2_C 2\
subGroups cellType=t3BE2C obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsBe2cHaibSitesRep2\
type bed 9 +\
dhcHumDerDenAncFrameshiftCodingHighFreq FrShft HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Frameshift Coding 0 34 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Frameshift Coding\
parent dhcHumDerDenAncEns\
shortLabel FrShft HiF\
subGroups view=Ens subset=FrameshiftCoding freq=HighFreq\
track dhcHumDerDenAncFrameshiftCodingHighFreq\
wgEncodeUwAffyExonArrayGm06990SimpleSignalRep2 GM06990 2 broadPeak GM06990 Exon array Signal Rep 2 from ENCODE/UW 0 34 0 0 0 127 127 127 0 0 0 expression 1 longLabel GM06990 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel GM06990 2\
subGroups cellType=t3GM06990 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayGm06990SimpleSignalRep2\
type broadPeak\
wgEncodeAwgTfbsSydhGm12878Mazab85725IggmusUniPk GM12878 MAZ narrowPeak GM12878 TFBS Uniform Peaks of MAZ_(ab85725) from ENCODE/Stanford/Analysis 1 34 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of MAZ_(ab85725) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MAZ\
subGroups tier=a10 cellType=a10GM12878 factor=MAZ lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Mazab85725IggmusUniPk\
wgEncodeAwgDnaseDukeGm19239UniPk GM19239 DNase narrowPeak GM19239 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 34 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM19239 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM19239 DNase\
subGroups tier=a30 cellType=GM19239\
track wgEncodeAwgDnaseDukeGm19239UniPk\
wgEncodeHaibTfbsGm12878Ebf1sc137065Pcr1xRawRep1 GM78 EBF1 PCR1 1 bigWig 0.108531 129.695007 GM12878 EBF1 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 34 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 EBF1 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 EBF1 PCR1 1\
subGroups view=RawSignal factor=EBF1SC137065 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Ebf1sc137065Pcr1xRawRep1\
type bigWig 0.108531 129.695007\
wgEncodeSydhTfbsGm12878JundStdSig GM78 JunD Std bigWig 0.000000 9181.599609 GM12878 JunD Standard ChIP-seq Signal from ENCODE/SYDH 2 34 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 JunD Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 JunD Std\
subGroups view=Signal factor=JUND cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878JundStdSig\
type bigWig 0.000000 9181.599609\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalAlnRep4 GM78 nlus tot A 4 bam GM12878 nucleolus total RNA-seq Alignments Rep 4 from ENCODE/CSHL 0 34 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Alignments Rep 4 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nlus tot A 4\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep4 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalAlnRep4\
type bam\
wgEncodeBroadHistoneH1hescEzh239875Pk H1-hESC EZH2 broadPeak H1-hESC EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 34 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC EZH2\
subGroups view=Peaks factor=EZH239875 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescEzh239875Pk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR1x75dAlignsRep2V2 H1ES 1x75D A 2 bam H1-hESC single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 34 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel H1ES 1x75D A 2\
subGroups view=Aligns cellType=t1H1HESC insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dAlignsRep2V2\
type bam\
wgEncodeRikenCageH1hescCytosolPapTssHmm H1ES cyto pA+ bed 6 H1-hESC cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 34 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel H1ES cyto pA+\
subGroups view=TssHmm cellType=t1H1HESC localization=cytosol rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageH1hescCytosolPapTssHmm\
type bed 6\
wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapContigsV2 H1ES nucl TAP C bed 6 H1-hESC TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL 2 34 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel H1ES nucl TAP C\
subGroups view=Contigs cellType=t1H1HESC localization=NUCLEUS protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapContigsV2\
type bed 6\
wgEncodeHaibGenotypeHcpeRegionsRep2 HCPEpiC 2 bed 9 + HCPEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 34 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HCPEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HCPEpiC 2\
subGroups cellType=t3HCPEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHcpeRegionsRep2\
type bed 9 +\
wgEncodeOpenChromDnaseHelas3Pk HeLaS3 Pk narrowPeak HeLa-S3 DNaseI HS Peaks from ENCODE/Duke 3 34 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel HeLaS3 Pk\
subGroups view=Peaks cellType=t2HELAS3 treatment=zNONE\
track wgEncodeOpenChromDnaseHelas3Pk\
type narrowPeak\
wgEncodeHaibMethyl450HepatoSitesRep1 Hepatocyte bed 9 Hepatocyte Methylation 450K Bead Array from ENCODE/HAIB 1 34 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Hepatocyte Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel Hepatocyte\
subGroups cellType=t3HEPATOCYTES obtainedBy=DUKE treatment=zNONE\
track wgEncodeHaibMethyl450HepatoSitesRep1\
type bed 9\
wgEncodeUwTfbsHepg2CtcfStdHotspotsRep2 HepG2 CTCF Ht 2 broadPeak HepG2 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 34 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HepG2 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t2HEPG2 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeUwDnaseHepg2HotspotsRep1 HepG2 Ht 1 broadPeak HepG2 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 34 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HepG2 Ht 1\
subGroups view=Hot cellType=t2HEPG2 rep=rep1 treatment=None\
track wgEncodeUwDnaseHepg2HotspotsRep1\
type broadPeak\
wgEncodeUwRepliSeqHepg2S3PctSignalRep1 HepG2 S3 1 bigWig 1.000000 100.000000 HepG2 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 34 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 S3 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqHepg2S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwHistoneK562H3k36me3StdRawRep1 K562 H3K36M3 Sg 1 bigWig 1.000000 8569.000000 K562 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 34 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K36M3 Sg 1\
subGroups view=zRSig factor=H3K36ME3 cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdRawRep1\
type bigWig 1.000000 8569.000000\
wgEncodeSunyRipSeqK562RipinputAlnRep1 K562 Input 1 bam K562 RIP-Input RIP-seq Alignments Rep 1 from ENCODE/SUNY 0 34 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 RIP-Input RIP-seq Alignments Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 Input 1\
subGroups view=Alignments factor=ripInput cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562RipinputAlnRep1\
type bam\
wgEncodeGisRnaPetK562PolysomePapMinusRawSigRep1 K562 poly pA+ - 1 bigWig 1.000000 1469476.000000 K562 polysome polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 34 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polysome polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel K562 poly pA+ - 1\
subGroups view=v2MinusRawSignal cellType=aK562 cloned=Based localization=polysome rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562PolysomePapMinusRawSigRep1\
type bigWig 1.000000 1469476.000000\
wgEncodeOpenChromFaireMcf7Est10nm30mPk MCF-7 Est FAIR Pk narrowPeak MCF-7 Estradiol 10nM 30m FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 34 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Estradiol 10nM 30m FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MCF-7 Est FAIR Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=EST10NM30M\
track wgEncodeOpenChromFaireMcf7Est10nm30mPk\
type narrowPeak\
wgEncodeDukeAffyExonMcf7EstroSimpleSignalRep2V2 MCF-7 ESTRO 2 bigBed 6 + MCF-7 Estradiol 100 nM Exon array Signal Rep 2 from ENCODE/Duke 0 34 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Estradiol 100 nM Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 ESTRO 2\
subGroups cellType=t2MCF7 treatment=ESTRO rep=rep2\
track wgEncodeDukeAffyExonMcf7EstroSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeSydhHistoneNt2d1H3k36me3bUcdPk NT2-D1 H3K36me3 narrowPeak NT2D1 H3K36me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 34 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2D1 H3K36me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel NT2-D1 H3K36me3\
subGroups view=Peaks factor=H3K36me3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k36me3bUcdPk\
type narrowPeak\
pgHG00731indel PUR HG00731 indel pgSnp PUR HG00731 (Father) indel (Complete Genomics) 0 34 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PUR HG00731 (Father) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR HG00731 indel\
subGroups view=C_CG id=CA_PUR_731 type=Indel\
track pgHG00731indel\
gtexEqtlTissueSkinNotExposed skinNotExposed bed 9 + Expression QTL in Skin_Not_Sun_Exposed_Suprapubic from GTEx V6 0 34 58 95 205 156 175 230 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 58,95,205\
idInUrlSql select gene from gtexEqtlTissueSkinNotExposed where name='%s'\
longLabel Expression QTL in Skin_Not_Sun_Exposed_Suprapubic from GTEx V6\
parent gtexEqtlTissue on\
shortLabel skinNotExposed\
track gtexEqtlTissueSkinNotExposed\
Agilent_Human_Exon_V5_UTRs_Covered SureSel. V5+UTR P bigBed Agilent - SureSelect All Exon V5 + UTRs Covered by Probes 0 34 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S04380219_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V5 + UTRs Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V5+UTR P\
track Agilent_Human_Exon_V5_UTRs_Covered\
type bigBed\
wgEncodeGencodeV46lift37 GENCODE V46lift37 genePred GENCODE lifted annotations from V46lift37 (Ensembl 112) 3 34.159 0 0 0 127 127 127 0 0 0
Description
\
\
The GENCODE Genes track (version 46lift37, May 2024) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V46 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 45lift37, Jan 2024) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V45 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 44lift37, July 2023) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V44 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 43lift37, Feb 2023) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V43 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 42lift37, Oct 2022) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V42 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 41lift37, July 2022) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V41 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 40lift37, Feb 2022) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V40 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 39lift37, Oct 2021) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V39 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 38lift37, May 2021) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V38 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 37lift37, Feb 2021) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V37 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 36lift37, Nov 2020) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V36 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 35lift37, June 2020) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V35 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 34lift37, April 2020) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V34 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 33lift37, Jan 2020) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V33 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 31lift37, June 2019) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V31 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 28lift37, Apr 2018) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V28 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 27lift37, August 2017) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The GENCODE V27 annotations on the GRCh38 (hg38) primary assembly\
were mapped to GRCh37 (hg19) using the process\
documented here.\
\
\
The Ensembl human and mouse data sets are the same gene annotations as GENCODE for the\
corresponding release.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human and mouse reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) was included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
If no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in mouse. Mouse transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS\
is a system to annotate alternatively spliced transcripts based on a range of computational\
methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal\
isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
\
The GENCODE Genes track (version 24lift37, December 2015) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project\
and mapped from GRCh38 to GRCh37.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The annotation was carried out on genome assembly GRCh38 (hg38) and then\
the primary assembly was mapped to GRCh37 (hg19) using the process\
described documented here.\
\
\
As of GENCODE Version 11, Ensembl and GENCODE have converged. The gene\
annotations in the GENCODE comprehensive set are the same as the corresponding\
Ensembl release.\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) were included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
It no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in humans. Human transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
tsl4 - the best supporting EST is flagged as suspect
\
tsl5 - no single transcript supports the model structure
\
tslNA - the transcript was not analyzed for one of the following reasons:\
\
pseudogene annotation, including transcribed pseudogenes\
human leukocyte antigen (HLA) transcript\
immunoglobin gene transcript\
T-cell receptor transcript\
single-exon transcript (will be included in a future version)\
\
\
\
\
APPRIS is a system to annotate alternatively spliced transcripts based on a range of computational methods. It provides value to the annotations of the human, mouse, zebrafish, rat, and pig genomes.\
APPRIS has selected a single CDS variant for each gene as the 'PRINCIPAL' isoform. Principal isoforms are tagged with the numbers 1 to 5, with 1 being the most reliable.
\
\
PRINCIPAL:1 - Transcript(s) expected to code for the main functional\
isoform based solely on the core modules in the APPRIS. \
PRINCIPAL:2 - Where the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
database chooses two or more of the CDS variants as "candidates" to be the\
principal variant.\
PRINCIPAL:3 - Where the APPRIS core modules are unable to choose a clear\
principal variant and there more than one of the variants have distinct\
CCDS identifiers, APPRIS selects the variant with lowest CCDS identifier\
as the principal variant. The lower the CCDS identifier, the earlier it\
was annotated.\
PRINCIPAL:4 - Where the APPRIS core modules are unable to choose a clear\
principal CDS and there is more than one variant with a distinct (but\
consecutive) CCDS identifiers, APPRIS selects the longest CCDS isoform as\
the principal variant.\
PRINCIPAL:5 - Where the APPRIS core modules are unable to choose a clear\
principal variant and none of the candidate variants are annotated by CCDS,\
APPRIS selects the longest of the candidate isoforms as the principal variant.\
For genes in which the APPRIS core modules are unable to choose a clear\
principal variant (approximately 25% of human protein coding genes), the\
"candidate" variants not chosen as principal are labeled in the following way:\
ALTERNATIVE:1 - Candidate transcript(s) models that are conserved in at\
least three tested species.\
ALTERNATIVE:2 - Candidate transcript(s) models that appear to be\
conserved in fewer than three tested species. Non-candidate transcripts are\
not tagged and are considered as "Minor" transcripts. Further information and\
additional web services can be found at the APPRIS website.\
\
Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing.\
Those experiments can be found at GEO:
\
\
\
GSE34797:[E-MTAB-684] - Batch IV is based on chromosome 3, 4 and 5 annotations from GENCODE 4 (January 2010).
\
GSE34820:[E-MTAB-737] - Batch V is based on annotations from GENCODE 6 (November 2010).
\
GSE34821:[E-MTAB-831] - Batch VI is based on annotations from GENCODE 6 (November 2010) as well as transcript models predicted by the Ensembl Genebuild group based on the Illumina Human BodyMap 2.0 data.
\
\
See Harrow et al. (2006) for information on verification\
techniques.\
Timothy Cutts, Bronwen Aken, James Gilbert, Jyoti Choudhary, Ed Griffiths, Jose Manuel Gonzalez, Electra Tapanari, Daniel Barrell, Adam Frankish, Andrew Berry, Alexandra Bignell, Veronika Boychenko, Claire Davidson, Gloria Despacio-Reyes, Mike Kay, Deepa Manthravadi, Gaurab Mukherjee, Catherine Snow, Gemma Barson, Matt Hardy, Joanne Howes
Alfonso Valencia, Michael Tress, José Manuel Rodríguez, Victor de la Torre
\
\
\
Former members of the GENCODE project
\
Felix Kokocinski, Toby Hunt, Gary Saunders, Sarah Grubb, Thomas Derrien, Andrea Tanzer, Gang Fang, Mihali Felipe, Michael Brent, Randall Brown, Jeltje van Baren, Stephen Searle, Rachel Harte
\
The GENCODE Genes track (version 19, December 2013) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The annotation was carried out on genome assembly GRCh37 (hg19).\
\
\
As of GENCODE Version 11, Ensembl and GENCODE have converged. The gene\
annotations in the GENCODE comprehensive set are the same as the corresponding\
Ensembl release. UCSC will continue to provide a separate Ensembl track on\
Human in the same format as the Ensembl tracks on other organisms.\
\
\
NOTE: Due to the UCSC Genome Browser using the NC_001807 mitochondrial\
genome sequence (chrM) and GENCODE annotating the NC_012920 mitochondrial\
sequence, the GENCODE mitochondrial annotations have been lifted to NC_001807\
coordinates in the UCSC Genome Browser. The original annotations with\
NC_012920 coordinates are available for download in the GENCODE GTF files.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
2-way
\
\
\
GENCODE 2-way Pseudogenes contains pseudogenes predicted by both the Yale\
Pseudopipe and UCSC Retrofinder pipelines. \
The set was derived by looking for 50 base pairs\
of overlap between pseudogenes derived from both sets based on their \
chromosomal coordinates. When multiple Pseudopipe\
predictions map to a single Retrofinder prediction, only one match is kept\
for the 2-way consensus set.\
\
\
\
\
PolyA
\
\
\
GENCODE PolyA contains polyA signals and sites manually annotated on\
the genome based on transcribed evidence (ESTs and cDNAs) of 3' end of\
transcripts containing at least 3 A's not matching the genome.
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
all 2-way pseudogenes\
all polyA annotations\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) were included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
It no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in humans. Human transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
\
Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing.\
Those experiments can be found at GEO:
\
\
\
GSE34797:[E-MTAB-684] - Batch IV is based on chromosome 3, 4 and 5 annotations from GENCODE 4 (January 2010).
\
GSE34820:[E-MTAB-737] - Batch V is based on annotations from GENCODE 6 (November 2010).
\
GSE34821:[E-MTAB-831] - Batch VI is based on annotations from GENCODE 6 (November 2010) as well as transcript models predicted by the Ensembl Genebuild group based on the Illumina Human BodyMap 2.0 data.
\
\
See Harrow et al. (2006) for information on verification\
techniques.\
\
\
Release Notes
\
\
GENCODE version 19 corresponds to Ensembl 74 and Vega 54.
Jennifer Harrow, Timothy Cutts, Bronwen Aken, James Gilbert, Jyoti Choudhary, Ed Griffiths, Jose Manuel Gonzalez, Electra Tapanari, Daniel Barrell, Adam Frankish, Andrew Berry, Alexandra Bignell, Veronika Boychenko, Claire Davidson, Gloria Despacio-Reyes, Mike Kay, Deepa Manthravadi, Gaurab Mukherjee, Catherine Snow, Gemma Barson, Matt Hardy, Joanne Howes
Alfonso Valencia, Michael Tress, José Manuel Rodríguez, Victor de la Torre
\
\
\
Former members of the GENCODE project
\
Felix Kokocinski, Toby Hunt, Gary Saunders, Sarah Grubb, Thomas Derrien, Andrea Tanzer, Gang Fang, Mihali Felipe, Michael Brent, Randall Brown, Jeltje van Baren, Stephen Searle
\
The GENCODE Genes track (version 17, June 2013) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The annotation was carried out on genome assembly GRCh37 (hg19).\
\
\
As of GENCODE Version 11, Ensembl and GENCODE have converged. The gene\
annotations in the GENCODE comprehensive set are the same as the corresponding\
Ensembl release. UCSC will continue to provide a separate Ensembl track on\
Human in the same format as the Ensembl tracks on other organisms.\
\
\
NOTE: Due to the UCSC Genome Browser using the NC_001807 mitochondrial\
genome sequence (chrM) and GENCODE annotating the NC_012920 mitochondrial\
sequence, the GENCODE mitochondrial annotations have been lifted to NC_001807\
coordinates in the UCSC Genome Browser. The original annotations with\
NC_012920 coordinates are available for download in the GENCODE GTF files.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
2-way
\
\
\
GENCODE 2-way Pseudogenes contains pseudogenes predicted by both the Yale\
Pseudopipe and UCSC Retrofinder pipelines. \
The set was derived by looking for 50 base pairs\
of overlap between pseudogenes derived from both sets based on their \
chromosomal coordinates. When multiple Pseudopipe\
predictions map to a single Retrofinder prediction, only one match is kept\
for the 2-way consensus set.\
\
\
\
\
PolyA
\
\
\
GENCODE PolyA contains polyA signals and sites manually annotated on\
the genome based on transcribed evidence (ESTs and cDNAs) of 3' end of\
transcripts containing at least 3 A's not matching the genome.
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
all 2-way pseudogenes\
all polyA annotations\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) were included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
It no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in humans. Human transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
\
Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing.\
Those experiments can be found at GEO:
\
\
\
GSE34797:[E-MTAB-684] - Batch IV is based on chromosome 3, 4 and 5 annotations from GENCODE 4 (January 2010).
\
GSE34820:[E-MTAB-737] - Batch V is based on annotations from GENCODE 6 (November 2010).
\
GSE34821:[E-MTAB-831] - Batch VI is based on annotations from GENCODE 6 (November 2010) as well as transcript models predicted by the Ensembl Genebuild group based on the Illumina Human BodyMap 2.0 data.
\
\
See Harrow et al. (2006) for information on verification\
techniques.\
\
\
Release Notes
\
\
GENCODE version 17 corresponds to Ensembl 72 from June 2013 and Vega 52 from May 2013.
Adam Frankish, Jose Manuel Gonzalez, Mike Kay, Alexandra Bignell, \
Gloria Despacio-Reyes, Garaub Mukherjee, Gary Sanders, Veronika Boychenko, Jennifer Harrow
\
The GENCODE Genes track (version 14, October 2012) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation process and Ensembl automatic annotation pipeline.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations.\
The annotation was carried out on genome assembly GRCh37 (hg19).\
\
\
As of GENCODE Version 11, Ensembl and GENCODE have converged. The gene\
annotations in the GENCODE comprehensive set are the same as the corresponding\
Ensembl release. UCSC will continue to provide a separate Ensembl track on\
Human in the same format as the Ensembl tracks on other organisms.\
\
\
NOTE: Due to the UCSC Genome Browser using the NC_001807 mitochondrial\
genome sequence (chrM) and GENCODE annotating the NC_012920 mitochondrial\
sequence, the GENCODE mitochondrial annotations have been lifted to NC_001807\
coordinates in the UCSC Genome Browser. The original annotations with\
NC_012920 coordinates are available for download in the GENCODE GTF files.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
Views available on this track are:\
\
Genes
\
The gene annotations in this view are divided into three subtracks:
\
\
\
GENCODE Basic set is a subset of the Comprehensive set. \
The selection criteria are described in the methods section.
\
GENCODE Comprehensive set contains all GENCODE coding and non-coding transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations. This is a super-set of the Basic set.
\
GENCODE Pseudogenes include all annotations except polymorphic pseudogenes.
\
\
\
\
2-way
\
\
\
GENCODE 2-way Pseudogenes contains pseudogenes predicted by both the Yale\
Pseudopipe and UCSC Retrofinder pipelines. \
The set was derived by looking for 50 base pairs\
of overlap between pseudogenes derived from both sets based on their \
chromosomal coordinates. When multiple Pseudopipe\
predictions map to a single Retrofinder prediction, only one match is kept\
for the 2-way consensus set.\
\
\
\
\
PolyA
\
\
\
GENCODE PolyA contains polyA signals and sites manually annotated on\
the genome based on transcribed evidence (ESTs and cDNAs) of 3' end of\
transcripts containing at least 3 A's not matching the genome.
\
\
\
\
Filtering is available for the items in the GENCODE Basic, Comprehensive and Pseudogene tracks\
using the following criteria:
\
\
Transcript class: filter by the basic biological function of a transcript\
annotation\
\
All - don't filter by transcript class
\
coding - display protein coding transcripts, including polymorphic pseudogenes
Coloring for the gene annotations is based on the annotation type:
\
\
coding \
non-coding \
pseudogene \
problem\
all 2-way pseudogenes\
all polyA annotations\
\
\
Methods
\
\
\
The GENCODE project aims to annotate all evidence-based gene features on the \
human reference sequence with high accuracy by integrating \
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification. This goal includes identifying \
all protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. \
For a detailed description of the methods and references used, see\
Harrow et al. (2006).\
\
\
\
GENCODE Basic Set selection:\
The GENCODE Basic Set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. The goal was to have a high-quality basic set that also covered all loci. \
Selection of GENCODE annotations for inclusion in the basic set\
was determined independently for the coding and non-coding transcripts at each\
gene locus.\
\
\
Criteria for selection of coding transcripts (including polymorphic pseudogenes) at a given\
locus:\
\
All full-length coding transcripts (except problem transcripts or transcripts that are\
nonsense-mediated decay) were included in the basic set.
\
If there were no transcripts meeting the above criteria, then the partial coding\
transcript with the largest CDS was included in the basic set (excluding problem transcripts).
\
\
\
Criteria for selection of non-coding transcripts at a given locus:\
\
All full-length non-coding transcripts (except problem transcripts)\
with a well characterized biotype (see below) were included in the\
basic set.
\
If there were no transcripts meeting the above criteria, then the largest non-coding\
transcript was included in the basic set (excluding problem transcripts).
\
\
\
It no transcripts were included by either the above criteria, the longest\
problem transcript is included.\
\
\
\
\
Non-coding transcript categorization: \
Non-coding transcripts are categorized using\
their biotype\
and the following criteria:\
\
\
well characterized: antisense, Mt_rRNA, Mt_tRNA, miRNA, rRNA, snRNA, snoRNA
\
Transcription Support Level (TSL):\
It is important that users understand how to assess transcript annotations\
that they see in GENCODE. While some transcript models have a high level of\
support through the full length of their exon structure, there are also\
transcripts that are poorly supported and that should be considered\
speculative. The Transcription Support Level (TSL) is a method to highlight the\
well-supported and poorly-supported transcript models for users. The method\
relies on the primary data that can support full-length transcript\
structure: mRNA and EST alignments supplied by UCSC and Ensembl.
\
\
The mRNA and EST alignments are compared to the GENCODE transcripts and the\
transcripts are scored according to how well the alignment matches over its\
full length. \
The GENCODE TSL provides a consistent method of evaluating the\
level of support that a GENCODE transcript annotation is\
actually expressed in humans. Human transcript sequences from the \
International Nucleotide\
Sequence Database Collaboration (GenBank, ENA, and DDBJ) are used as\
the evidence for this analysis.\
\
Exonerate RNA alignments from Ensembl,\
BLAT RNA and EST alignments from the UCSC Genome Browser Database are used in\
the analysis. Erroneous transcripts and libraries identified in lists\
maintained by the Ensembl, UCSC, HAVANA and RefSeq groups are flagged as\
suspect. GENCODE annotations for protein-coding and non-protein-coding\
transcripts are compared with the evidence alignments.
\
\
Annotations in the MHC region and other immunological genes are not\
evaluated, as automatic alignments tend to be very problematic. \
Methods for evaluating single-exon genes are still being developed and \
they are not included\
in the current analysis. Multi-exon GENCODE annotations are evaluated using\
the criteria that all introns are supported by an evidence alignment and the\
evidence alignment does not indicate that there are unannotated exons. Small\
insertions and deletions in evidence alignments are assumed to be due to\
polymorphisms and not considered as differing from the annotations. All\
intron boundaries must match exactly. The transcript start and end locations\
are allowed to differ.
\
\
The following categories are assigned to each of the evaluated annotations:
\
\
\
tsl1 - all splice junctions of the transcript are supported by\
at least one non-suspect mRNA\
tsl2 - the best supporting mRNA is flagged as suspect or the support is from multiple ESTs
\
Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing.\
Those experiments can be found at GEO:
\
\
\
GSE34797:[E-MTAB-684] - Batch IV is based on chromosome 3, 4 and 5 annotations from GENCODE 4 (January 2010).
\
GSE34820:[E-MTAB-737] - Batch V is based on annotations from GENCODE 6 (November 2010).
\
GSE34821:[E-MTAB-831] - Batch VI is based on annotations from GENCODE 6 (November 2010) as well as transcript models predicted by the Ensembl Genebuild group based on the Illumina Human BodyMap 2.0 data.
\
\
See Harrow et al. (2006) for information on verification\
techniques.\
\
\
Release Notes
\
\
This GENCODE version 14 corresponds to Ensembl 69 from October 2012\
and Vega 49 from September 2012.
Adam Frankish, Jose Manuel Gonzalez, Mike Kay, Alexandra Bignell, \
Gloria Despacio-Reyes, Garaub Mukherjee, Gary Sanders, Veronika Boychenko, Jennifer Harrow
\
The GENCODE Genes track (version 7, May 2011) shows high-quality manual\
annotations merged with evidence-based automated annotations across the entire\
human genome generated by the\
GENCODE project.\
The GENCODE gene set presents a full merge\
between HAVANA manual annotation and ENSEMBL automatic annotation. \
Priority is given to the manually curated HAVANA annotation, using predicted\
ENSEMBL annotations when there are no corresponding manual annotations.\
The annotation was carried out on genome assembly GRCh37 (hg19).\
\
\
NOTE: Due to UCSC Genome Browser using the NC_001807 mitochondrial genome sequence\
(chrM) and GENCODE annotating the NC_012920 mitochondrial sequence, the\
GENCODE mitochondrial sequences are not available in the UCSC Genome Browser.\
These annotations are available for download in the GENCODE GTF files.\
\
\
\
NOTE: We try and synchronize the release cycles for GENCODE, Havana and\
Ensembl. This GENCODE version 7 corresponds to Ensembl 62 from 13 April 2011\
and Vega 23-03-2011. Also see:\
GENCODE project.\
\
\
\
Display Conventions and Configuration
\
\
The annotations are divided into separate tracks based on type of annotation.\
The basic set of coding and non-coding transcripts is a subset of\
the comprehensive set selected to provide a simplified view of the transcript\
set designed to suit the needs of a majority of users. The selection algorithm is described in\
the next section.\
The available tracks are:\
\
\
\
GENCODE Basic set - subset of the GENCODE coding and non-coding\
transcript annotations, including polymorphic pseudogenes. This includes\
both manual and automatic annotations. The selection criteria is\
described in the next section.\
This is subset of the comprehensive set.\
\
GENCODE Comprehensive set - all GENCODE coding and non-code transcript annotations,\
including polymorphic pseudogenes. This includes both manual and\
automatic annotations, except pseudogenes. This is super-set of\
the basic set.\
GENCODE Pseudogenes - all pseudogene annotations except polymorphic pseudogenes\
\
GENCODE 2-way Pseudogenes - Pseudogenes predicted by the Yale\
Pseudopipe and UCSC Retrofinder pipelines. The set was derived by looking\
for a 50 base pairs of overlap between pseudogenes derived from both sets\
based on their genomic locations i.e. chromosomal coordinates. When multiple\
Pseudopipe predictions map to a single Retrofinder prediction, only one match is kept\
for the 2-way consensus set.\
GENCODE PolyA - This track contains polyA signals and sites manually annotated on\
the genome based on transcribed evidence (ESTs and cDNAs) of 3' end of\
transcripts containing at least 3 A's not matching to the genome.\
\
The GENCODE basic set is intended to provide a simplified subset of\
the GENCODE transcript annotations that will be useful to the majority of\
users. Selection for the GENCODE annotations to include in the basic set\
is done on a per-locus basis and then for coding and non-coding transcripts\
within that locus. The goal is to use the better quality\
transcript annotations while still having some annotation present for\
each locus.\
If there are any full length coding transcripts that are not\
nonsense-mediated decay or problem transcripts, then only they are\
included in the basic set.\
Otherwise, use the coding transcript with the largest CDS.\
\
Non-coding transcripts:\
\
If there are any full length non-coding transcripts and they have a\
well characterized BioType (see below), then only they are included in the\
basic set.\
Otherwise, use the largest non-coding transcript.\
\
\
\
Non-coding transcript categories
\
Non-coding transcripts are categorized using\
their BioType\
and the following criteria:\
\
\
\
well characterized: antisense, lincRNA, miRNA, Mt_rRNA, Mt_tRNA,\
rRNA, snoRNA, snRNA\
\
The gene annotations are colored based on the annotation type:\
\
\
Manual and automatic\
coding\
non-coding\
pseudogene\
problem\
\
2-way pseudogene\
all\
\
PolyA annotations\
all\
\
\
\
Methods
\
\
\
We aim to annotate all evidence-based gene features at high accuracy on\
the human reference sequence. This includes identifying all\
protein-coding loci with associated alternative variants, non-coding\
loci which have transcript evidence, and pseudogenes. We integrate\
computational approaches (including comparative methods), manual\
annotation and targeted experimental verification.\
\
For a detailed description of the methods and references used, see\
Harrow et al (2006).\
\
\
Verification
\
\
See Harrow et al. (2006) for information on verification\
techniques.\
\
\
Selected transcript models are verified experimentally by RT-PCR amplification followed by sequencing.\
Those experiments can be found at GEO:
\
\
\
GSE34797:[E-MTAB-684] - Batch IV is based on chromosome 3, 4 and 5 annotations from GENCODE 4 (January 2010).
\
GSE34820:[E-MTAB-737] - Batch V is based on annotations from GENCODE 6 (November 2010).
\
GSE34821:[E-MTAB-831] - Batch VI is based on annotations from GENCODE 6 (November 2010) as well as transcript models predicted by the Ensembl Genebuild group based on the Illumina Human BodyMap 2.0 data.
\
\
\
Credits
\
\
This GENCODE release is the result of a collaborative effort among\
the following laboratories: (contact: \
GENCODE at the Sanger Institute.\
)\
Adam Frankish, Jose Manuel Gonzalez, Mike Kay, Alexandra Bignell, \
Gloria Despacio-Reyes, Garaub Mukherjee, Gary Sanders, Veronika Boychenko, Jennifer Harrow
GENCODE data are available for use without restrictions.\
The full data release policy for ENCODE is available\
here.
\
\
\
genes 1 allButtonPair on\
compositeTrack on\
configurable off\
dragAndDrop subTracks\
ensemblGeneIdUrl http://www.ensembl.org/Homo_sapiens/Gene/Summary?db=core;t=%s\
ensemblTranscriptIdUrl http://www.ensembl.org/Homo_sapiens/Transcript/Summary?db=core;t=%s\
fileSortOrder labVersion=Contents dccAccession=UCSC_Accession\
group genes\
longLabel Gene Annotations from ENCODE/GENCODE Version 7\
priority 34.197\
shortLabel GENCODE Genes V7\
sortOrder name=+ view=+\
subGroup1 view View aGenes=Genes b2-way=2-way cPolya=PolyA\
subGroup2 name Name Basic=Basic Comprehensive=Comprehensive Pseudogenes=Pseudogenes yTwo-way=2-way_Pseudogenes zPolyA=PolyA\
superTrack wgEncodeGencodeSuper hide\
track wgEncodeGencodeV7\
type genePred\
vegaGeneIdUrl http://vega.sanger.ac.uk/Homo_sapiens/Gene/Summary?db=core;g=%s\
vegaTranscriptIdUrl http://vega.sanger.ac.uk/Homo_sapiens/Transcript/Summary?db=core;t=%s\
visibility hide\
wgEncodeGencodeAttrs wgEncodeGencodeAttrsV7\
wgEncodeGencodeExonSupport wgEncodeGencodeExonSupportV7\
wgEncodeGencodeGeneSource wgEncodeGencodeGeneSourceV7\
wgEncodeGencodePdb wgEncodeGencodePdbV7\
wgEncodeGencodePolyAFeature wgEncodeGencodePolyAFeatureV7\
wgEncodeGencodePubMed wgEncodeGencodePubMedV7\
wgEncodeGencodeRefSeq wgEncodeGencodeRefSeqV7\
wgEncodeGencodeTag wgEncodeGencodeTagV7\
wgEncodeGencodeTranscriptSource wgEncodeGencodeTranscriptSourceV7\
wgEncodeGencodeTranscriptSupport wgEncodeGencodeTranscriptSupportV7\
wgEncodeGencodeUniProt wgEncodeGencodeUniProtV7\
wgEncodeGencodeVersion 7\
yalePseudoUrl http://tables.pseudogene.org/%s\
wgEncodeGencodeV7ViewGenes Genes genePred Gene Annotations from ENCODE/GENCODE Version 7 2 34.197 0 0 0 127 127 127 0 0 0 genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
cdsDrawDefault genomic\\ codons\
configurable on\
filterBy attrs.transcriptClass:Transcript_Class=coding,nonCoding,pseudo,problem transcriptMethod:Transcript_Annotation_Method=manual,automatic,manual_only,automatic_only attrs.transcriptType:Transcript_Biotype=ambiguous_orf,antisense,IG_C_gene,IG_C_pseudogene,IG_D_gene,IG_J_gene,IG_J_pseudogene,IG_V_gene,IG_V_pseudogene,lincRNA,miRNA,miRNA_pseudogene,misc_RNA,misc_RNA_pseudogene,Mt_tRNA_pseudogene,ncrna_host,nonsense_mediated_decay,non_coding,polymorphic_pseudogene,processed_pseudogene,processed_transcript,protein_coding,pseudogene,retained_intron,retrotransposed,rRNA,rRNA_pseudogene,scRNA_pseudogene,snoRNA,snoRNA_pseudogene,snRNA,snRNA_pseudogene,TEC,transcribed_processed_pseudogene,transcribed_unprocessed_pseudogene,tRNA_pseudogene,TR_C_gene,TR_J_gene,TR_V_gene,TR_V_pseudogene,unitary_pseudogene,unprocessed_pseudogene\
gClass_coding 12,12,120\
gClass_nonCoding 0,153,0\
gClass_problem 254,0,0\
gClass_pseudo 255,51,255\
geneClasses coding nonCoding pseudo problem\
highlightBy attrs.transcriptType:Transcript_Biotype=ambiguous_orf,antisense,IG_C_gene,IG_C_pseudogene,IG_D_gene,IG_J_gene,IG_J_pseudogene,IG_V_gene,IG_V_pseudogene,lincRNA,miRNA,miRNA_pseudogene,misc_RNA,misc_RNA_pseudogene,Mt_tRNA_pseudogene,ncrna_host,nonsense_mediated_decay,non_coding,polymorphic_pseudogene,processed_pseudogene,processed_transcript,protein_coding,pseudogene,retained_intron,retrotransposed,rRNA,rRNA_pseudogene,scRNA_pseudogene,snoRNA,snoRNA_pseudogene,snRNA,snRNA_pseudogene,TEC,transcribed_processed_pseudogene,transcribed_unprocessed_pseudogene,tRNA_pseudogene,TR_C_gene,TR_J_gene,TR_V_gene,TR_V_pseudogene,unitary_pseudogene,unprocessed_pseudogene\
highlightColor 255,255,0\
idXref wgEncodeGencodeAttrsV7 transcriptId geneId\
itemClassClassColumn transcriptClass\
itemClassNameColumn transcriptId\
itemClassTbl wgEncodeGencodeAttrsV7\
longLabel Gene Annotations from ENCODE/GENCODE Version 7\
parent wgEncodeGencodeV7\
shortLabel Genes\
track wgEncodeGencodeV7ViewGenes\
type genePred\
view aGenes\
visibility full\
wgEncodeGencodeV7ViewPolya PolyA genePred Gene Annotations from ENCODE/GENCODE Version 7 0 34.197 0 0 0 127 127 127 0 0 0 genes 1 configurable off\
longLabel Gene Annotations from ENCODE/GENCODE Version 7\
parent wgEncodeGencodeV7\
shortLabel PolyA\
track wgEncodeGencodeV7ViewPolya\
type genePred\
view cPolya\
visibility hide\
chainEchTel2 Tenrec Chain chain echTel2 Tenrec (Nov. 2012 (Broad/echTel2)) Chained Alignments 3 35 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Tenrec (Nov. 2012 (Broad/echTel2)) Chained Alignments\
otherDb echTel2\
parent placentalChainNetViewchain off\
shortLabel Tenrec Chain\
subGroups view=chain species=s104 clade=c07\
track chainEchTel2\
type chain echTel2\
wgEncodeOpenChromChipA549Pol2BaseOverlapSignal A549 Pol2 OS bigWig 0.000000 3231.000000 A549 Pol2 TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 35 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 Pol2 TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel A549 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t2A549\
track wgEncodeOpenChromChipA549Pol2BaseOverlapSignal\
type bigWig 0.000000 3231.000000\
encTfChipPkENCFF532MZI A549 POLR2A 1 narrowPeak Transcription Factor ChIP-seq Peaks of POLR2A in A549 from ENCODE 3 (ENCFF532MZI) 1 35 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of POLR2A in A549 from ENCODE 3 (ENCFF532MZI)\
parent encTfChipPk off\
shortLabel A549 POLR2A 1\
subGroups cellType=A549 factor=POLR2A\
track encTfChipPkENCFF532MZI\
wgEncodeUwDgfAoafSig AoAF Sig bigWig 1.000000 87444.000000 AoAF DNaseI DGF Per-base Signal from ENCODE/UW 2 35 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AoAF DNaseI DGF Per-base Signal from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewSignal off\
shortLabel AoAF Sig\
subGroups view=Signal cellType=t3AOAF treatment=aNONE rep=rep1\
track wgEncodeUwDgfAoafSig\
type bigWig 1.000000 87444.000000\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_ctss_fwd AorticSmsToFgf2_03hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_forward 0 35 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep2%20%28LK20%29.CNhs13364.12746-136A1.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12746-136A1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_tpm_fwd AorticSmsToFgf2_03hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_forward 1 35 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep2%20%28LK20%29.CNhs13364.12746-136A1.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12746-136A1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1\
urlLabel FANTOM5 Details:\
pgNA19700 ASW NA19700 pgSnp ASW NA19700 (Complete Genomics) 0 35 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19700 (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19700\
subGroups view=C_CG id=CA_div_GS19700 type=SNP\
track pgNA19700\
wgEncodeHaibRnaSeqBe2cRawRep2 BE2_C 2 bigWig 0.145512 1134.989990 BE2_C RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 35 0 0 0 127 127 127 0 0 0 expression 0 longLabel BE2_C RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel BE2_C 2\
subGroups view=RawSignal cellType=t3BE2C treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqBe2cRawRep2\
type bigWig 0.145512 1134.989990\
wgEncodeHaibMethylRrbsBjUwSitesRep1 BJ 1 bed 9 + BJ Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 35 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BJ Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel BJ 1\
subGroups cellType=t3BJ obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsBjUwSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayGm12864SimpleSignalRep1 GM12864 1 broadPeak GM12864 Exon-array Signal Rep 1 from ENCODE/UW 0 35 0 0 0 127 127 127 0 0 0 expression 1 longLabel GM12864 Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel GM12864 1\
subGroups cellType=t3GM12864 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayGm12864SimpleSignalRep1\
type broadPeak\
wgEncodeAwgTfbsHaibGm12878Mef2aPcr1xUniPk GM12878 MEF2A narrowPeak GM12878 TFBS Uniform Peaks of MEF2A from ENCODE/HudsonAlpha/Analysis 1 35 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of MEF2A from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MEF2A\
subGroups tier=a10 cellType=a10GM12878 factor=MEF2A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Mef2aPcr1xUniPk\
wgEncodeAwgDnaseDukeGm19240UniPk GM19240 DNase narrowPeak GM19240 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 35 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM19240 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel GM19240 DNase\
subGroups tier=a30 cellType=GM19240\
track wgEncodeAwgDnaseDukeGm19240UniPk\
wgEncodeHaibTfbsGm12878Ebfsc137065Pcr1xPkRep2 GM78 EBF1 PCR1 2 broadPeak GM12878 EBF1 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 35 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 EBF1 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 EBF1 PCR1 2\
subGroups view=Peaks factor=EBF1SC137065 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Ebfsc137065Pcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878MafkIggmusPk GM78 MafK IgM narrowPeak GM12878 MafK (ab50322) IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 35 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MafK (ab50322) IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 MafK IgM\
subGroups view=Peaks factor=MAFK cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878MafkIggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalContigs GM78 nlus tot C bed 6 + GM12878 nucleolus total RNA-seq Contigs Pooled from ENCODE/CSHL 3 35 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel GM78 nlus tot C\
subGroups view=Contigs cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalContigs\
type bed 6 +\
wgEncodeBroadHistoneH1hescEzh239875Sig H1-hESC EZH2 bigWig 0.040000 25825.679688 H1-hESC EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 35 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC EZH2\
subGroups view=Signal factor=EZH239875 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescEzh239875Sig\
type bigWig 0.040000 25825.679688\
wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UMinusRawRep1V4 H1ES 1x75D - 1 bigWig -46057.500000 -0.020000 H1-hESC single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 35 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel H1ES 1x75D - 1\
subGroups view=MinusSignal cellType=t1H1HESC readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UMinusRawRep1V4\
type bigWig -46057.500000 -0.020000\
wgEncodeRikenCageH1hescCytosolPapPlusSignalRep2 H1ES cyto pA+ + 2 bigWig 0.040000 11435.740234 H1-hESC cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 35 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel H1ES cyto pA+ + 2\
subGroups view=PlusRawSignal cellType=t1H1HESC localization=cytosol rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescCytosolPapPlusSignalRep2\
type bigWig 0.040000 11435.740234\
wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapMinusRawRep2 H1ES nucl TAP - 2 bigWig 1.000000 5206543.000000 H1-hESC TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 35 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel H1ES nucl TAP - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapMinusRawRep2\
type bigWig 1.000000 5206543.000000\
wgEncodeHaibGenotypeHeeRegionsRep2 HEEpiC 1 bed 9 + HEEpiC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 35 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HEEpiC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HEEpiC 1\
subGroups cellType=t3HEEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHeeRegionsRep2\
type bed 9 +\
wgEncodeOpenChromDnaseHelas3Sig HeLaS3 DS bigWig 0.000000 2.024200 HeLa-S3 DNaseI HS Density Signal from ENCODE/Duke 2 35 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel HeLaS3 DS\
subGroups view=SIG cellType=t2HELAS3 treatment=zNONE\
track wgEncodeOpenChromDnaseHelas3Sig\
type bigWig 0.000000 2.024200\
wgEncodeUwTfbsHepg2CtcfStdPkRep2 HepG2 CTCF Pk 2 narrowPeak HepG2 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 35 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HepG2 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t2HEPG2 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdPkRep2\
type narrowPeak\
wgEncodeUwDnaseHepg2PkRep1 HepG2 Pk 1 narrowPeak HepG2 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 35 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HepG2 Pk 1\
subGroups view=Peaks cellType=t2HEPG2 rep=rep1 treatment=None\
track wgEncodeUwDnaseHepg2PkRep1\
type narrowPeak\
wgEncodeUwRepliSeqHepg2S4PctSignalRep1 HepG2 S4 1 bigWig 1.000000 100.000000 HepG2 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 35 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 S4 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqHepg2S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibMethyl450HipeSitesRep1 HIPEpiC bed 9 HIPEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 35 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HIPEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HIPEpiC\
subGroups cellType=t3HIPEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HipeSitesRep1\
type bed 9\
dhcHumDerDenAncInFrameNonsynFixed InFrNS Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: In-frame Non-synonymous 0 35 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: In-frame Non-synonymous\
parent dhcHumDerDenAncEns\
shortLabel InFrNS Fxd\
subGroups view=Ens subset=InFrameNonsyn freq=Fixed\
track dhcHumDerDenAncInFrameNonsynFixed\
wgEncodeUwHistoneK562H3k36me3StdHotspotsRep2 K562 H3K36M3 Ht 2 broadPeak K562 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 35 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot on\
shortLabel K562 H3K36M3 Ht 2\
subGroups view=Hot factor=H3K36ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdHotspotsRep2\
type broadPeak\
wgEncodeSunyRipSeqK562RipinputAlnRep2 K562 Input 2 bam K562 RIP-Input RIP-seq Alignments Rep 2 from ENCODE/SUNY 0 35 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 RIP-Input RIP-seq Alignments Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewAlignments off\
shortLabel K562 Input 2\
subGroups view=Alignments factor=ripInput cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562RipinputAlnRep2\
type bam\
wgEncodeGisRnaPetK562PolysomePapPlusRawSigRep1 K562 poly pA+ + 1 bigWig 1.000000 424954.000000 K562 polysome polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 35 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polysome polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel K562 poly pA+ + 1\
subGroups view=v2PlusRawSignal cellType=aK562 cloned=Based localization=polysome rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562PolysomePapPlusRawSigRep1\
type bigWig 1.000000 424954.000000\
wgEncodeOpenChromFaireMcf7Est10nm30mSig MCF-7 Est FAIR DS bigWig 0.000000 0.958900 MCF-7 Estradiol 10nM 30m FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 35 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Estradiol 10nM 30m FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MCF-7 Est FAIR DS\
subGroups view=SIG cellType=t2MCF7 treatment=EST10NM30M\
track wgEncodeOpenChromFaireMcf7Est10nm30mSig\
type bigWig 0.000000 0.958900\
wgEncodeDukeAffyExonMcf7HypoxlacSimpleSignalRep1 MCF-7 Hypox 1 bigBed 6 + MCF-7 Hypoxia, Lactic acidosis Exon array Signal Rep 1 from ENCODE/Duke 0 35 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Hypoxia, Lactic acidosis Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 Hypox 1\
subGroups cellType=t2MCF7 treatment=HYPOXLAC rep=rep1\
track wgEncodeDukeAffyExonMcf7HypoxlacSimpleSignalRep1\
type bigBed 6 +\
wgEncodeSydhHistoneNt2d1H3k36me3bUcdSig NT2-D1 H3K36me3 bigWig 1.000000 5119.000000 NT2D1 H3K36me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 35 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 H3K36me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel NT2-D1 H3K36me3\
subGroups view=Signal factor=H3K36me3B cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1H3k36me3bUcdSig\
type bigWig 1.000000 5119.000000\
gtexEqtlTissueSmallIntestine smallIntestine bed 9 + Expression QTL in Small_Intestine_Terminal_Ileum from GTEx V6 0 35 205 183 158 230 219 206 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,183,158\
idInUrlSql select gene from gtexEqtlTissueSmallIntestine where name='%s'\
longLabel Expression QTL in Small_Intestine_Terminal_Ileum from GTEx V6\
parent gtexEqtlTissue on\
shortLabel smallIntestine\
track gtexEqtlTissueSmallIntestine\
Agilent_Human_Exon_V5_UTRs_Regions SureSel. V5+UTR T bigBed Agilent - SureSelect All Exon V5 + UTRs Target Regions 0 35 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S04380219_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V5 + UTRs Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V5+UTR T\
track Agilent_Human_Exon_V5_UTRs_Regions\
type bigBed\
netEchTel2 Tenrec Net netAlign echTel2 chainEchTel2 Tenrec (Nov. 2012 (Broad/echTel2)) Alignment Net 1 36 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Tenrec (Nov. 2012 (Broad/echTel2)) Alignment Net\
otherDb echTel2\
parent placentalChainNetViewnet off\
shortLabel Tenrec Net\
subGroups view=net species=s104 clade=c07\
track netEchTel2\
type netAlign echTel2 chainEchTel2\
wgEncodeOpenChromChipA549InputSig A549 Input DS bigWig 0.000000 3.520600 A549 Input TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 36 0 0 0 127 127 127 1 0 0 regulation 0 longLabel A549 Input TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel A549 Input DS\
subGroups treatment=AANONE view=SIG factor=zCTRL cellType=t2A549\
track wgEncodeOpenChromChipA549InputSig\
type bigWig 0.000000 3.520600\
encTfChipPkENCFF292PSZ A549 POLR2A 2 narrowPeak Transcription Factor ChIP-seq Peaks of POLR2A in A549 from ENCODE 3 (ENCFF292PSZ) 1 36 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of POLR2A in A549 from ENCODE 3 (ENCFF292PSZ)\
parent encTfChipPk off\
shortLabel A549 POLR2A 2\
subGroups cellType=A549 factor=POLR2A\
track encTfChipPkENCFF292PSZ\
wgEncodeUwDgfAoafRaw AoAF Raw bigWig 1.000000 357614.000000 AoAF DNaseI DGF Raw Signal from ENCODE/UW 0 36 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AoAF DNaseI DGF Raw Signal from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewzRaw off\
shortLabel AoAF Raw\
subGroups view=zRaw cellType=t3AOAF treatment=aNONE rep=rep1\
track wgEncodeUwDgfAoafRaw\
type bigWig 1.000000 357614.000000\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_ctss_rev AorticSmsToFgf2_03hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_reverse 0 36 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep2%20%28LK20%29.CNhs13364.12746-136A1.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12746-136A1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_tpm_rev AorticSmsToFgf2_03hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_reverse 1 36 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep2%20%28LK20%29.CNhs13364.12746-136A1.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep2 (LK20)_CNhs13364_12746-136A1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12746-136A1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep2LK20_CNhs13364_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12746-136A1\
urlLabel FANTOM5 Details:\
pgNA19700indel ASW NA19700 indel pgSnp ASW NA19700 indel (Complete Genomics) 0 36 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19700 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19700 indel\
subGroups view=C_CG id=CA_div_GS19700 type=Indel\
track pgNA19700indel\
wgEncodeHaibRnaSeqBe2cAlnRep2 BE2_C 2 bam BE2_C RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 36 0 0 0 127 127 127 0 0 0 expression 1 longLabel BE2_C RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel BE2_C 2\
subGroups view=Alignments cellType=t3BE2C treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqBe2cAlnRep2\
type bam\
wgEncodeHaibMethylRrbsBjUwSitesRep2 BJ 2 bed 9 + BJ Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 36 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BJ Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel BJ 2\
subGroups cellType=t3BJ obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsBjUwSitesRep2\
type bed 9 +\
wgEncodeAwgDnaseDukeGlioblaUniPk Gliobla DNase narrowPeak Gliobla DNaseI HS Uniform Peaks from ENCODE/Analysis 1 36 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Gliobla DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Gliobla DNase\
subGroups tier=a30 cellType=Gliobla\
track wgEncodeAwgDnaseDukeGlioblaUniPk\
wgEncodeUwAffyExonArrayGm12865SimpleSignalRep1 GM12865 1 broadPeak GM12865 Exon-array Signal Rep 1 from ENCODE/UW 0 36 0 0 0 127 127 127 0 0 0 expression 1 longLabel GM12865 Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel GM12865 1\
subGroups cellType=t3GM12865 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayGm12865SimpleSignalRep1\
type broadPeak\
wgEncodeAwgTfbsHaibGm12878Mef2csc13268V0416101UniPk GM12878 MEF2C narrowPeak GM12878 TFBS Uniform Peaks of MEF2C_(SC-13268) from ENCODE/HudsonAlpha/Analysis 1 36 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of MEF2C_(SC-13268) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MEF2C\
subGroups tier=a10 cellType=a10GM12878 factor=MEF2C lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Mef2csc13268V0416101UniPk\
wgEncodeHaibTfbsGm12878Ebf1sc137065Pcr1xRawRep2 GM78 EBF1 PCR1 2 bigWig 0.198833 116.863998 GM12878 EBF1 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 36 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 EBF1 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 EBF1 PCR1 2\
subGroups view=RawSignal factor=EBF1SC137065 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Ebf1sc137065Pcr1xRawRep2\
type bigWig 0.198833 116.863998\
wgEncodeSydhTfbsGm12878MafkIggmusSig GM78 MafK IgM bigWig 1.000000 408.000000 GM12878 MafK (ab50322) IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 36 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MafK (ab50322) IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 MafK IgM\
subGroups view=Signal factor=MAFK cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878MafkIggmusSig\
type bigWig 1.000000 408.000000\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalJunctions GM78 nlus tot J bed 6 + GM12878 nucleolus total RNA-seq Junctions Pooled from ENCODE/CSHL 0 36 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 nlus tot J\
subGroups view=Junctions cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalJunctions\
type bed 6 +\
wgEncodeBroadHistoneH1hescH2azStdPk H1-hESC H2A.Z broadPeak H1-hESC H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 36 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H2A.Z\
subGroups view=Peaks factor=H2AZ cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH2azStdPk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UMinusRawRep2V4 H1ES 1x75D - 2 bigWig -106818.500000 -0.018500 H1-hESC single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 36 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel H1ES 1x75D - 2\
subGroups view=MinusSignal cellType=t1H1HESC readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UMinusRawRep2V4\
type bigWig -106818.500000 -0.018500\
wgEncodeRikenCageH1hescCytosolPapMinusSignalRep2 H1ES cyto pA+ - 2 bigWig 0.040000 9035.400391 H1-hESC cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 36 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel H1ES cyto pA+ - 2\
subGroups view=MinusRawSignal cellType=t1H1HESC localization=cytosol rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescCytosolPapMinusSignalRep2\
type bigWig 0.040000 9035.400391\
wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapPlusRawRep2 H1ES nucl TAP + 2 bigWig 1.000000 2851215.000000 H1-hESC TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 36 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel H1ES nucl TAP + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqH1hescNucleusShorttotalTapPlusRawRep2\
type bigWig 1.000000 2851215.000000\
wgEncodeHaibGenotypeHek293RegionsRep2 HEK293 1 bed 9 + HEK293 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 36 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HEK293 Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HEK293 1\
subGroups cellType=t3HEK293 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHek293RegionsRep2\
type bed 9 +\
wgEncodeOpenChromDnaseHelas3BaseOverlapSignal HeLaS3 OS bigWig 0.000000 265.000000 HeLa-S3 DNaseI HS Overlap Signal from ENCODE/Duke 2 36 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel HeLaS3 OS\
subGroups view=SIGBO cellType=t2HELAS3 treatment=zNONE\
track wgEncodeOpenChromDnaseHelas3BaseOverlapSignal\
type bigWig 0.000000 265.000000\
wgEncodeUwTfbsHepg2CtcfStdRawRep2 HepG2 CTCF Sg 2 bigWig 1.000000 5725.000000 HepG2 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 36 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HepG2 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t2HEPG2 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHepg2CtcfStdRawRep2\
type bigWig 1.000000 5725.000000\
wgEncodeUwRepliSeqHepg2G2PctSignalRep1 HepG2 G2 1 bigWig 1.000000 100.000000 HepG2 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 36 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HepG2 G2 1\
subGroups view=v1PctSignal cellType=t2HEPG2 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqHepg2G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseHepg2RawRep1 HepG2 Sg 1 bigWig 1.000000 11297.000000 HepG2 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 36 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HepG2 Sg 1\
subGroups view=zRSig cellType=t2HEPG2 rep=rep1 treatment=None\
track wgEncodeUwDnaseHepg2RawRep1\
type bigWig 1.000000 11297.000000\
wgEncodeHaibMethyl450Hl60SitesRep1 HL-60 bed 9 HL-60 Methylation 450K Bead Array from ENCODE/HAIB 1 36 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HL-60 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HL-60\
subGroups cellType=t3HL60 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Hl60SitesRep1\
type bed 9\
wgEncodeUwHistoneK562H3k36me3StdPkRep2 K562 H3K36M3 Pk 2 narrowPeak K562 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 36 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks on\
shortLabel K562 H3K36M3 Pk 2\
subGroups view=Peaks factor=H3K36ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdPkRep2\
type narrowPeak\
wgEncodeSunyRipSeqK562RipinputPk K562 Input Pk broadPeak K562 RIP-Input RIP-seq Analysis from ENCODE/SUNY 2 36 46 0 184 150 127 219 0 0 0 regulation 1 color 46,0,184\
longLabel K562 RIP-Input RIP-seq Analysis from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewPeaks off\
shortLabel K562 Input Pk\
subGroups view=Peaks factor=ripInput cellType=t1K562 rep=Pooled\
track wgEncodeSunyRipSeqK562RipinputPk\
type broadPeak\
wgEncodeGisRnaPetK562PolysomePapAlnRep1 K562 poly pA+ A 1 bam K562 polysome polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 36 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polysome polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel K562 poly pA+ A 1\
subGroups view=v3Alignments cellType=aK562 cloned=Based localization=polysome rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetK562PolysomePapAlnRep1\
type bam\
wgEncodeOpenChromFaireMcf7Est10nm30mBaseOverlapSignal MCF-7 Est FAIR OS bigWig 0.000000 2594.000000 MCF-7 Estradiol 10nM 30m FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 36 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Estradiol 10nM 30m FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MCF-7 Est FAIR OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=EST10NM30M\
track wgEncodeOpenChromFaireMcf7Est10nm30mBaseOverlapSignal\
type bigWig 0.000000 2594.000000\
wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep1 MCF-7 RANDsh 1 bigBed 6 + MCF-7 Randomized shRNA control Exon array Signal Rep 1 from ENCODE/Duke 0 36 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Randomized shRNA control Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 RANDsh 1\
subGroups cellType=t2MCF7 treatment=RANDSHRNA rep=rep1\
track wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep1\
type bigBed 6 +\
dhcHumDerDenAncNonsynFixed Nonsyn Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Non-synonymous 0 36 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Non-synonymous\
parent dhcHumDerDenAncEns\
shortLabel Nonsyn Fxd\
subGroups view=Ens subset=Nonsyn freq=Fixed\
track dhcHumDerDenAncNonsynFixed\
wgEncodeSydhHistoneNt2d1InputUcdSig NT2-D1 Input bigWig 1.000000 13293.000000 NT2D1 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 36 0 0 0 127 127 127 0 0 0 regulation 0 longLabel NT2D1 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel NT2-D1 Input\
subGroups view=Signal factor=INPUT cellType=cNT2D1 control=UCD treatment=NONE\
track wgEncodeSydhHistoneNt2d1InputUcdSig\
type bigWig 1.000000 13293.000000\
gtexEqtlTissueSpleen spleen bed 9 + Expression QTL in Spleen from GTEx V6 0 36 205 183 158 230 219 206 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 205,183,158\
idInUrlSql select gene from gtexEqtlTissueSpleen where name='%s'\
longLabel Expression QTL in Spleen from GTEx V6\
parent gtexEqtlTissue on\
shortLabel spleen\
track gtexEqtlTissueSpleen\
Agilent_Human_Exon_V6_Covered SureSel. V6 P bigBed Agilent - SureSelect All Exon V6 r2 Covered by Probes 0 36 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604514_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 r2 Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V6 P\
track Agilent_Human_Exon_V6_Covered\
type bigBed\
chainLoxAfr3 Elephant Chain chain loxAfr3 Elephant (Jul. 2009 (Broad/loxAfr3)) Chained Alignments 3 37 0 0 0 255 255 0 1 0 0 compGeno 1 longLabel Elephant (Jul. 2009 (Broad/loxAfr3)) Chained Alignments\
otherDb loxAfr3\
parent placentalChainNetViewchain off\
shortLabel Elephant Chain\
subGroups view=chain species=s107 clade=c07\
track chainLoxAfr3\
type chain loxAfr3\
wgEncodeGisRnaPetA549CellPapClusters A549 cell pA+ bed 6 + A549 whole cell polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 37 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 whole cell polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel A549 cell pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bA549 cloned=Free localization=cell rnaExtract=PAP\
track wgEncodeGisRnaPetA549CellPapClusters\
type bed 6 +\
encTfChipPkENCFF958VNQ A549 RAD21 narrowPeak Transcription Factor ChIP-seq Peaks of RAD21 in A549 from ENCODE 3 (ENCFF958VNQ) 1 37 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of RAD21 in A549 from ENCODE 3 (ENCFF958VNQ)\
parent encTfChipPk off\
shortLabel A549 RAD21\
subGroups cellType=A549 factor=RAD21\
track encTfChipPkENCFF958VNQ\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_ctss_fwd AorticSmsToFgf2_03hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_forward 0 37 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep3%20%28LK21%29.CNhs13573.12844-137B9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12844-137B9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_tpm_fwd AorticSmsToFgf2_03hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_forward 1 37 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep3%20%28LK21%29.CNhs13573.12844-137B9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12844-137B9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9\
urlLabel FANTOM5 Details:\
pgNA19701 ASW NA19701 pgSnp ASW NA19701 (Complete Genomics) 0 37 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19701 (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19701\
subGroups view=C_CG id=CA_div_GS19701 type=SNP\
track pgNA19701\
wgEncodeHaibMethylRrbsBcbrainh11058nBiochainSitesRep1 Brain_BC 1 bed 9 + Brain BC H11058N Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 37 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Brain BC H11058N Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Brain_BC 1\
subGroups cellType=t3BRAINBCH11058N obtainedBy=BioChain treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsBcbrainh11058nBiochainSitesRep1\
type bed 9 +\
wgEncodeUwDgfCd4naivewb11970640Hotspots CD4+_Naive Hot broadPeak CD4+ Naive Wb11970640 DNaseI DGF Hotspots from ENCODE/UW 0 37 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD4+ Naive Wb11970640 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel CD4+_Naive Hot\
subGroups view=Hotspots cellType=t3CD4NAIVEWB11970640 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd4naivewb11970640Hotspots\
type broadPeak\
wgEncodeHaibRnaSeqEcc1Bpa14hRawRep1 ECC-1 BPA 1 bigWig 0.210921 561.841003 ECC-1 BPA 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 37 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 BPA 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 BPA 1\
subGroups view=RawSignal cellType=t3ECC1 treatment=BPA14h rep=rep1\
track wgEncodeHaibRnaSeqEcc1Bpa14hRawRep1\
type bigWig 0.210921 561.841003\
wgEncodeUwAffyExonArrayGm12865SimpleSignalRep2 GM12865 2 broadPeak GM12865 Exon-array Signal Rep 2 from ENCODE/UW 0 37 0 0 0 127 127 127 0 0 0 expression 1 longLabel GM12865 Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel GM12865 2\
subGroups cellType=t3GM12865 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayGm12865SimpleSignalRep2\
type broadPeak\
wgEncodeAwgTfbsHaibGm12878Mta3sc81325V0422111UniPk GM12878 MTA3 narrowPeak GM12878 TFBS Uniform Peaks of MTA3_(SC-81325) from ENCODE/HudsonAlpha/Analysis 1 37 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of MTA3_(SC-81325) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MTA3\
subGroups tier=a10 cellType=a10GM12878 factor=MTA3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Mta3sc81325V0422111UniPk\
wgEncodeHaibTfbsGm12878Egr1Pcr2xPkRep3 GM78 Egr-1 PCR2 3 broadPeak GM12878 Egr-1 PCR2x ChIP-seq Peaks Rep 3 from ENCODE/HAIB 3 37 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Egr-1 PCR2x ChIP-seq Peaks Rep 3 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 Egr-1 PCR2 3\
subGroups view=Peaks factor=EGR1 cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep3\
track wgEncodeHaibTfbsGm12878Egr1Pcr2xPkRep3\
type broadPeak\
wgEncodeSydhTfbsGm12878MaxIggmusPk GM78 Max IgM narrowPeak GM12878 Max IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 37 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Max IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 Max IgM\
subGroups view=Peaks factor=MAX cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878MaxIggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalMinusSignalRep3 GM78 nlus tot - 3 bigWig 1.000000 846987.000000 GM12878 nucleolus total RNA-seq Minus signal Rep 3 from ENCODE/CSHL 2 37 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Minus signal Rep 3 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nlus tot - 3\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep3 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalMinusSignalRep3\
type bigWig 1.000000 846987.000000\
wgEncodeBroadHistoneH1hescH2azStdSig H1-hESC H2A.Z bigWig 0.040000 36549.300781 H1-hESC H2A.Z Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 37 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H2A.Z Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H2A.Z\
subGroups view=Signal factor=H2AZ cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH2azStdSig\
type bigWig 0.040000 36549.300781\
wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UPlusRawRep1V4 H1ES 1x75D + 1 bigWig 0.020000 29585.000000 H1-hESC single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 37 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel H1ES 1x75D + 1\
subGroups view=PlusSignal cellType=t1H1HESC readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UPlusRawRep1V4\
type bigWig 0.020000 29585.000000\
wgEncodeRikenCageH1hescCytosolPapAlnRep2 H1ES cyto pA+ A 2 bam H1-hESC cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 37 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel H1ES cyto pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=cytosol rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescCytosolPapAlnRep2\
type bam\
wgEncodeAwgDnaseUwH7hescUniPk H7-hESC DNase narrowPeak H7-hESC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 37 0 0 0 127 127 127 1 0 0 regulation 1 longLabel H7-hESC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel H7-hESC DNase\
subGroups tier=a30 cellType=H7-hESC\
track wgEncodeAwgDnaseUwH7hescUniPk\
wgEncodeOpenChromChipHelas3CmycPk HeLa-S3 cMyc Pk narrowPeak HeLa-S3 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 37 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HeLa-S3 cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CmycPk\
type narrowPeak\
wgEncodeUwDnaseHepg2HotspotsRep2 HepG2 Ht 2 broadPeak HepG2 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 37 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HepG2 Ht 2\
subGroups view=Hot cellType=t2HEPG2 rep=rep2 treatment=None\
track wgEncodeUwDnaseHepg2HotspotsRep2\
type broadPeak\
wgEncodeUwTfbsHepg2InputStdRawRep1 HepG2 In Sg 1 bigWig 1.000000 7679.000000 HepG2 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 37 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HepG2 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2HEPG2 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHepg2InputStdRawRep1\
type bigWig 1.000000 7679.000000\
wgEncodeOpenChromDnaseHepg2Pk HepG2 Pk narrowPeak HepG2 DNaseI HS Peaks from ENCODE/Duke 3 37 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel HepG2 Pk\
subGroups view=Peaks cellType=t2HEPG2 treatment=zNONE\
track wgEncodeOpenChromDnaseHepg2Pk\
type narrowPeak\
wgEncodeUwRepliSeqHepg2PkRep1 HepG2 Pk 1 bed 9 HepG2-Phase Repli-seq Peaks Rep 1 from ENCODE/UW 0 37 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2-Phase Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel HepG2 Pk 1\
subGroups view=v2Peaks cellType=t2HEPG2 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHepg2PkRep1\
type bed 9\
wgEncodeHaibGenotypeHipeRegionsRep1 HIPEpiC 1 bed 9 + HIPEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 37 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HIPEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HIPEpiC 1\
subGroups cellType=t3HIPEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHipeRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HmecSitesRep1 HMEC bed 9 HMEC Methylation 450K Bead Array from ENCODE/HAIB 1 37 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMEC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HMEC\
subGroups cellType=t3HMEC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HmecSitesRep1\
type bed 9\
wgEncodeCshlShortRnaSeqK562CellShorttotalTapContigs K562 cell TAP C bed 6 K562 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL 2 37 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs on\
shortLabel K562 cell TAP C\
subGroups view=Contigs cellType=t1K562 localization=CELL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562CellShorttotalTapContigs\
type bed 6\
wgEncodeUwHistoneK562H3k36me3StdRawRep2 K562 H3K36M3 Sg 2 bigWig 1.000000 9619.000000 K562 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 37 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 H3K36M3 Sg 2\
subGroups view=zRSig factor=H3K36ME3 cellType=t1K562 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneK562H3k36me3StdRawRep2\
type bigWig 1.000000 9619.000000\
wgEncodeSunyRipSeqK562RipinputSigRep1 K562 Input 1 bigWig 0.000000 88877.484375 K562 RIP-Input RIP-seq Signal Rep 1 from ENCODE/SUNY 2 37 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 RIP-Input RIP-seq Signal Rep 1 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 Input 1\
subGroups view=Signal factor=ripInput cellType=t1K562 rep=rep1\
track wgEncodeSunyRipSeqK562RipinputSigRep1\
type bigWig 0.000000 88877.484375\
wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep2 MCF-7 RANDsh 2 bigBed 6 + MCF-7 Randomized shRNA control Exon array Signal Rep 2 from ENCODE/Duke 0 37 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Randomized shRNA control Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 RANDsh 2\
subGroups cellType=t2MCF7 treatment=RANDSHRNA rep=rep2\
track wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep2\
type bigBed 6 +\
wgEncodeOpenChromFaireMcf7HypoxlacPk MCF7 hypox FAI Pk narrowPeak MCF-7 Hypoxia LacAcid FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 37 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Hypoxia LacAcid FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MCF7 hypox FAI Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromFaireMcf7HypoxlacPk\
type narrowPeak\
dhcHumDerDenAncNonsynFixedDbSnp Nonsyn FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Non-synonymous 0 37 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Non-synonymous\
parent dhcHumDerDenAncEns\
shortLabel Nonsyn FxS\
subGroups view=Ens subset=Nonsyn freq=FixedDbSnp\
track dhcHumDerDenAncNonsynFixedDbSnp\
wgEncodeSydhHistonePanc1H3k04me1bUcdPk PANC-1 H3K4me1 narrowPeak PANC-1 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 37 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PANC-1 H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PANC-1 H3K4me1\
subGroups view=Peaks factor=H3K04ME1 cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k04me1bUcdPk\
type narrowPeak\
gtexEqtlTissueStomach stomach bed 9 + Expression QTL in Stomach from GTEx V6 0 37 255 211 155 255 233 205 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 255,211,155\
idInUrlSql select gene from gtexEqtlTissueStomach where name='%s'\
longLabel Expression QTL in Stomach from GTEx V6\
parent gtexEqtlTissue on\
shortLabel stomach\
track gtexEqtlTissueStomach\
Agilent_Human_Exon_V6_Regions SureSel. V6 T bigBed Agilent - SureSelect All Exon V6 r2 Target Regions 0 37 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604514_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 r2 Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V6 T\
track Agilent_Human_Exon_V6_Regions\
type bigBed\
netLoxAfr3 Elephant Net netAlign loxAfr3 chainLoxAfr3 Elephant (Jul. 2009 (Broad/loxAfr3)) Alignment Net 1 38 0 0 0 255 255 0 0 0 0 compGeno 0 longLabel Elephant (Jul. 2009 (Broad/loxAfr3)) Alignment Net\
otherDb loxAfr3\
parent placentalChainNetViewnet on\
shortLabel Elephant Net\
subGroups view=net species=s107 clade=c07\
track netLoxAfr3\
type netAlign loxAfr3 chainLoxAfr3\
wgEncodeGisRnaPetA549CellPapMinusRawRep3 A549 cell pA+ - 3 bigWig 1.000000 3376640.000000 A549 whole cell polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS 2 38 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 cell pA+ - 3\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CellPapMinusRawRep3\
type bigWig 1.000000 3376640.000000\
encTfChipPkENCFF319HLW A549 RCOR1 narrowPeak Transcription Factor ChIP-seq Peaks of RCOR1 in A549 from ENCODE 3 (ENCFF319HLW) 1 38 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of RCOR1 in A549 from ENCODE 3 (ENCFF319HLW)\
parent encTfChipPk off\
shortLabel A549 RCOR1\
subGroups cellType=A549 factor=RCOR1\
track encTfChipPkENCFF319HLW\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_ctss_rev AorticSmsToFgf2_03hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_reverse 0 38 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep3%20%28LK21%29.CNhs13573.12844-137B9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12844-137B9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_03hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_tpm_rev AorticSmsToFgf2_03hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_reverse 1 38 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2003hr%2c%20biol_rep3%20%28LK21%29.CNhs13573.12844-137B9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 03hr, biol_rep3 (LK21)_CNhs13573_12844-137B9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12844-137B9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_03hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF203hrBiolRep3LK21_CNhs13573_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12844-137B9\
urlLabel FANTOM5 Details:\
pgNA19701indel ASW NA19701 indel pgSnp ASW NA19701 indel (Complete Genomics) 0 38 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19701 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19701 indel\
subGroups view=C_CG id=CA_div_GS19701 type=Indel\
track pgNA19701indel\
wgEncodeHaibMethylRrbsBcbrainh11058nBiochainSitesRep2 Brain_BC 2 bed 9 + Brain BC H11058N Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 38 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Brain BC H11058N Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Brain_BC 2\
subGroups cellType=t3BRAINBCH11058N obtainedBy=BioChain treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsBcbrainh11058nBiochainSitesRep2\
type bed 9 +\
wgEncodeUwDgfCd4naivewb11970640Pk CD4+_Naive Pk narrowPeak CD4+ Naive Wb11970640 DNaseI DGF Peaks from ENCODE/UW 0 38 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD4+ Naive Wb11970640 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel CD4+_Naive Pk\
subGroups view=Peaks cellType=t3CD4NAIVEWB11970640 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd4naivewb11970640Pk\
type narrowPeak\
wgEncodeHaibRnaSeqEcc1Bpa14hAlnRep1 ECC-1 BPA 1 bam ECC-1 BPA 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 38 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 BPA 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 BPA 1\
subGroups view=Alignments cellType=t3ECC1 treatment=BPA14h rep=rep1\
track wgEncodeHaibRnaSeqEcc1Bpa14hAlnRep1\
type bam\
wgEncodeAwgTfbsSydhGm12878Mxi1IggmusUniPk GM12878 MXI1 narrowPeak GM12878 TFBS Uniform Peaks of Mxi1_(AF4185) from ENCODE/Stanford/Analysis 1 38 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Mxi1_(AF4185) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MXI1\
subGroups tier=a10 cellType=a10GM12878 factor=MXI1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Mxi1IggmusUniPk\
wgEncodeHaibTfbsGm12878Egr1Pcr2xRawRep3 GM78 Egr-1 PCR2 3 bigWig 0.148748 119.817001 GM12878 Egr-1 PCR2x ChIP-seq Raw Signal Rep 3 from ENCODE/HAIB 2 38 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Egr-1 PCR2x ChIP-seq Raw Signal Rep 3 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 Egr-1 PCR2 3\
subGroups view=RawSignal factor=EGR1 cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep3\
track wgEncodeHaibTfbsGm12878Egr1Pcr2xRawRep3\
type bigWig 0.148748 119.817001\
wgEncodeSydhTfbsGm12878MaxIggmusSig GM78 Max IgM bigWig 1.000000 15789.000000 GM12878 Max IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 38 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Max IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 Max IgM\
subGroups view=Signal factor=MAX cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878MaxIggmusSig\
type bigWig 1.000000 15789.000000\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalMinusSignalRep4 GM78 nlus tot - 4 bigWig 1.000000 634244.000000 GM12878 nucleolus total RNA-seq Minus signal Rep 4 from ENCODE/CSHL 2 38 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Minus signal Rep 4 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nlus tot - 4\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep4 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalMinusSignalRep4\
type bigWig 1.000000 634244.000000\
wgEncodeBroadHistoneH1hescH3k4me1StdPk H1-hESC H3K4m1 broadPeak H1-hESC H3K4me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 38 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K4me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC H3K4m1\
subGroups view=Peaks factor=H3K04ME1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me1StdPk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UPlusRawRep2V4 H1ES 1x75D + 2 bigWig 0.018500 42720.582031 H1-hESC single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 38 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel H1ES 1x75D + 2\
subGroups view=PlusSignal cellType=t1H1HESC readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dTh1014UPlusRawRep2V4\
type bigWig 0.018500 42720.582031\
wgEncodeRikenCageH1hescNucleusPapTssHmm H1ES nucl pA+ bed 6 H1-hESC nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 38 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel H1ES nucl pA+\
subGroups view=TssHmm cellType=t1H1HESC localization=nucleus rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageH1hescNucleusPapTssHmm\
type bed 6\
wgEncodeUwAffyExonArrayH7esSimpleSignalRep1 H7-hESC 1 broadPeak H7-hESC Exon array Signal Rep 1 from ENCODE/UW 0 38 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 1\
subGroups cellType=t3H7HESC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayH7esSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseDukeH9esUniPk H9ES DNase narrowPeak H9ES DNaseI HS Uniform Peaks from ENCODE/Analysis 1 38 0 0 0 127 127 127 1 0 0 regulation 1 longLabel H9ES DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel H9ES DNase\
subGroups tier=a30 cellType=H9ES\
track wgEncodeAwgDnaseDukeH9esUniPk\
wgEncodeOpenChromChipHelas3CmycSig HeLa-S3 cMyc DS bigWig 0.000000 0.824800 HeLa-S3 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 38 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HeLa-S3 cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CmycSig\
type bigWig 0.000000 0.824800\
wgEncodeOpenChromDnaseHepg2Sig HepG2 DS bigWig 0.000000 2.203900 HepG2 DNaseI HS Density Signal from ENCODE/Duke 2 38 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel HepG2 DS\
subGroups view=SIG cellType=t2HEPG2 treatment=zNONE\
track wgEncodeOpenChromDnaseHepg2Sig\
type bigWig 0.000000 2.203900\
wgEncodeUwDnaseHepg2PkRep2 HepG2 Pk 2 narrowPeak HepG2 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 38 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HepG2 Pk 2\
subGroups view=Peaks cellType=t2HEPG2 rep=rep2 treatment=None\
track wgEncodeUwDnaseHepg2PkRep2\
type narrowPeak\
wgEncodeUwRepliSeqHepg2ValleysRep1 HepG2 Vly 1 bed 9 HepG2-Phase Repli-seq Valleys Rep 1 from ENCODE/UW 0 38 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2-Phase Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel HepG2 Vly 1\
subGroups view=v3Valleys cellType=t2HEPG2 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHepg2ValleysRep1\
type bed 9\
wgEncodeHaibGenotypeHipeRegionsRep2 HIPEpiC 2 bed 9 + HIPEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 38 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HIPEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HIPEpiC 2\
subGroups cellType=t3HIPEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHipeRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450HnpceSitesRep1 HNPCEpiC bed 9 HNPCEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 38 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HNPCEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HNPCEpiC\
subGroups cellType=t3HNPCEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HnpceSitesRep1\
type bed 9\
wgEncodeUwTfbsHuvecCtcfStdHotspotsRep1 HUVEC CTCF Ht 1 broadPeak HUVEC CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 38 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HUVEC CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t2HUVEC rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdHotspotsRep1\
type broadPeak\
wgEncodeCshlShortRnaSeqK562CellShorttotalTapMinusRawRep1 K562 cell TAP - 1 bigWig 1.000000 1822368.000000 K562 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 38 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal on\
shortLabel K562 cell TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562CellShorttotalTapMinusRawRep1\
type bigWig 1.000000 1822368.000000\
wgEncodeUwHistoneK562InputStdRawRep1 K562 In Sg 1 bigWig 1.000000 13124.000000 K562 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 38 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig on\
shortLabel K562 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t1K562 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneK562InputStdRawRep1\
type bigWig 1.000000 13124.000000\
wgEncodeSunyRipSeqK562RipinputSigRep2 K562 Input 2 bigWig 0.000000 88306.453125 K562 RIP-Input RIP-seq Signal Rep 2 from ENCODE/SUNY 2 38 46 0 184 150 127 219 0 0 0 regulation 0 color 46,0,184\
longLabel K562 RIP-Input RIP-seq Signal Rep 2 from ENCODE/SUNY\
parent wgEncodeSunyRipSeqViewSignal off\
shortLabel K562 Input 2\
subGroups view=Signal factor=ripInput cellType=t1K562 rep=rep2\
track wgEncodeSunyRipSeqK562RipinputSigRep2\
type bigWig 0.000000 88306.453125\
wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep3 MCF-7 RANDsh 3 bigBed 6 + MCF-7 Randomized shRNA control Exon array Signal Rep 3 from ENCODE/Duke 0 38 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Randomized shRNA control Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 RANDsh 3\
subGroups cellType=t2MCF7 treatment=RANDSHRNA rep=rep3\
track wgEncodeDukeAffyExonMcf7RandshrnaSimpleSignalRep3\
type bigBed 6 +\
wgEncodeOpenChromFaireMcf7HypoxlacSig MCF7 hypox FAI DS bigWig 0.000000 0.601300 MCF-7 Hypoxia FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 38 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MCF7 hypox FAI DS\
subGroups view=SIG cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromFaireMcf7HypoxlacSig\
type bigWig 0.000000 0.601300\
dhcHumDerDenAncNonsynHighFreq Nonsyn HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Non-synonymous 0 38 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Non-synonymous\
parent dhcHumDerDenAncEns\
shortLabel Nonsyn HiF\
subGroups view=Ens subset=Nonsyn freq=HighFreq\
track dhcHumDerDenAncNonsynHighFreq\
wgEncodeSydhHistonePanc1H3k04me1bUcdSig PANC-1 H3K4me1 bigWig 1.000000 19459.000000 PANC-1 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 38 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PANC-1 H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PANC-1 H3K4me1\
subGroups view=Signal factor=H3K04ME1 cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k04me1bUcdSig\
type bigWig 1.000000 19459.000000\
Agilent_Human_Exon_V6_COSMIC_Covered SureSel. V6+COSMIC P bigBed Agilent - SureSelect All Exon V6 + COSMIC r2 Covered by Probes 0 38 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604715_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 + COSMIC r2 Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V6+COSMIC P\
track Agilent_Human_Exon_V6_COSMIC_Covered\
type bigBed\
gtexEqtlTissueTestis testis bed 9 + Expression QTL in Testis from GTEx V6 0 38 166 166 166 210 210 210 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 166,166,166\
idInUrlSql select gene from gtexEqtlTissueTestis where name='%s'\
longLabel Expression QTL in Testis from GTEx V6\
parent gtexEqtlTissue on\
shortLabel testis\
track gtexEqtlTissueTestis\
wgEncodeGisRnaPetA549CellPapMinusRawRep4 A549 cell pA+ - 4 bigWig 1.000000 3622800.000000 A549 whole cell polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS 2 39 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 cell pA+ - 4\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CellPapMinusRawRep4\
type bigWig 1.000000 3622800.000000\
wgEncodeUwHistoneA549H3k04me3StdHotspotsRep1 A549 H3K4M3 Ht 1 broadPeak A549 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 39 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel A549 H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t2A549 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdHotspotsRep1\
type broadPeak\
encTfChipPkENCFF136RBA A549 REST 1 narrowPeak Transcription Factor ChIP-seq Peaks of REST in A549 from ENCODE 3 (ENCFF136RBA) 1 39 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of REST in A549 from ENCODE 3 (ENCFF136RBA)\
parent encTfChipPk off\
shortLabel A549 REST 1\
subGroups cellType=A549 factor=REST\
track encTfChipPkENCFF136RBA\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_ctss_fwd AorticSmsToFgf2_05hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_forward 0 39 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep1%20%28LK25%29.CNhs13347.12650-134H4.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12650-134H4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_tpm_fwd AorticSmsToFgf2_05hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_forward 1 39 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep1%20%28LK25%29.CNhs13347.12650-134H4.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12650-134H4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4\
urlLabel FANTOM5 Details:\
pgNA19703 ASW NA19703 pgSnp ASW NA19703 (Complete Genomics) 0 39 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19703 (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19703\
subGroups view=C_CG id=CA_div_GS19703 type=SNP\
track pgNA19703\
wgEncodeHaibMethylRrbsBcbreast0203015BiochainSitesRep1 Breast_BC 1 bed 9 + Breast BC 02-03015 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 39 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Breast BC 02-03015 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Breast_BC 1\
subGroups cellType=t3BREASTBC0203015 obtainedBy=BioChain treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsBcbreast0203015BiochainSitesRep1\
type bed 9 +\
wgEncodeUwDgfCd4naivewb11970640Sig CD4+_Naive Sig bigWig 1.000000 31841.000000 CD4+ Naive Wb11970640 DNaseI DGF Per-base Signal from ENCODE/UW 2 39 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD4+ Naive Wb11970640 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel CD4+_Naive Sig\
subGroups view=Signal cellType=t3CD4NAIVEWB11970640 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd4naivewb11970640Sig\
type bigWig 1.000000 31841.000000\
wgEncodeHaibRnaSeqEcc1Bpa14hRawRep2 ECC-1 BPA 2 bigWig 0.206326 724.461975 ECC-1 BPA 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 39 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 BPA 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 BPA 2\
subGroups view=RawSignal cellType=t3ECC1 treatment=BPA14h rep=rep2\
track wgEncodeHaibRnaSeqEcc1Bpa14hRawRep2\
type bigWig 0.206326 724.461975\
wgEncodeAwgTfbsUtaGm12878CmycUniPk GM12878 MYC narrowPeak GM12878 TFBS Uniform Peaks of c-Myc from ENCODE/UT-A/Analysis 1 39 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of c-Myc from ENCODE/UT-A/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 MYC\
subGroups tier=a10 cellType=a10GM12878 factor=MYC lab=UT-A\
track wgEncodeAwgTfbsUtaGm12878CmycUniPk\
wgEncodeHaibTfbsGm12878Egr1V0416101PkRep1 GM78 Egr-1 V101 1 broadPeak GM12878 Egr-1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 39 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Egr-1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 Egr-1 V101 1\
subGroups view=Peaks factor=EGR1 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Egr1V0416101PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Mazab85725IggmusPk GM78 MAZ IgM narrowPeak GM12878 MAZ IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 39 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MAZ IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 MAZ IgM\
subGroups view=Peaks factor=MAZAB85725 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Mazab85725IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalPlusSignalRep3 GM78 nlus tot + 3 bigWig 1.000000 407730.000000 GM12878 nucleolus total RNA-seq Plus signal Rep 3 from ENCODE/CSHL 2 39 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Plus signal Rep 3 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nlus tot + 3\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep3 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalPlusSignalRep3\
type bigWig 1.000000 407730.000000\
wgEncodeBroadHistoneH1hescH3k4me1StdSig H1-hESC H3K4m1 bigWig 0.040000 10892.639648 H1-hESC H3K4me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 39 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K4me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC H3K4m1\
subGroups view=Signal factor=H3K04ME1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me1StdSig\
type bigWig 0.040000 10892.639648\
wgEncodeCaltechRnaSeqH1hescR1x75dSplicesRep1V2 H1ES 1x75D Sp 1 bam H1-hESC single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 39 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 1x75D Sp 1\
subGroups view=Splices cellType=t1H1HESC insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dSplicesRep1V2\
type bam\
wgEncodeRikenCageH1hescNucleusPapPlusSignalRep2 H1ES nucl pA+ + 2 bigWig 0.040000 7536.419922 H1-hESC nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 39 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel H1ES nucl pA+ + 2\
subGroups view=PlusRawSignal cellType=t1H1HESC localization=nucleus rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescNucleusPapPlusSignalRep2\
type bigWig 0.040000 7536.419922\
wgEncodeUwAffyExonArrayH7esDiffa14dSimpleSignalRep1 H7-hESC 14d 1 broadPeak H7-hESC differentiated 14 d Exon Array Signal Rep 1 from ENCODE/UW 0 39 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 14 d Exon Array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 14d 1\
subGroups cellType=t3H7HESC treatment=DIFFA14D rep=rep1\
track wgEncodeUwAffyExonArrayH7esDiffa14dSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHahUniPk HA-h DNase narrowPeak HA-h DNaseI HS Uniform Peaks from ENCODE/Analysis 1 39 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HA-h DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HA-h DNase\
subGroups tier=a30 cellType=HA-h\
track wgEncodeAwgDnaseUwHahUniPk\
wgEncodeOpenChromChipHelas3CmycBaseOverlapSignal HeLa-S3 cMyc OS bigWig 0.000000 183.000000 HeLa-S3 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 39 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HeLa-S3 cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CmycBaseOverlapSignal\
type bigWig 0.000000 183.000000\
wgEncodeOpenChromDnaseHepg2BaseOverlapSignal HepG2 OS bigWig 0.000000 274.000000 HepG2 DNaseI HS Overlap Signal from ENCODE/Duke 2 39 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel HepG2 OS\
subGroups view=SIGBO cellType=t2HEPG2 treatment=zNONE\
track wgEncodeOpenChromDnaseHepg2BaseOverlapSignal\
type bigWig 0.000000 274.000000\
wgEncodeUwDnaseHepg2RawRep2 HepG2 Sg 2 bigWig 1.000000 11649.000000 HepG2 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 39 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HepG2 Sg 2\
subGroups view=zRSig cellType=t2HEPG2 rep=rep2 treatment=None\
track wgEncodeUwDnaseHepg2RawRep2\
type bigWig 1.000000 11649.000000\
wgEncodeUwRepliSeqHepg2WaveSignalRep1 HepG2 Ws 1 bigWig -7.742796 88.110779 HepG2 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 39 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal\
shortLabel HepG2 Ws 1\
subGroups view=v4WaveSignal cellType=t2HEPG2 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHepg2WaveSignalRep1\
type bigWig -7.742796 88.110779\
wgEncodeHaibGenotypeHl60RegionsRep1 HL-60 1 bed 9 + HL-60 Copy number variants Replicate 1 from ENCODE/HAIB 0 39 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HL-60 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HL-60 1\
subGroups cellType=t3HL60 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHl60RegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HpaeSitesRep1 HPAEpiC bed 9 HPAEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 39 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HPAEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HPAEpiC\
subGroups cellType=t3HPAEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HpaeSitesRep1\
type bed 9\
wgEncodeUwTfbsHuvecCtcfStdPkRep1 HUVEC CTCF Pk 1 narrowPeak HUVEC CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 39 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HUVEC CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t2HUVEC rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdPkRep1\
type narrowPeak\
wgEncodeCshlShortRnaSeqK562CellShorttotalTapMinusRawRep2 K562 cell TAP - 2 bigWig 1.000000 2003121.000000 K562 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 39 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 cell TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562CellShorttotalTapMinusRawRep2\
type bigWig 1.000000 2003121.000000\
wgEncodeDukeAffyExonMcf7VehSimpleSignalRep1V2 MCF-7 Veh 1 bigBed 6 + MCF-7 Vehicle Exon array Signal Rep 1 from ENCODE/Duke 0 39 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Vehicle Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 Veh 1\
subGroups cellType=t2MCF7 treatment=VEH rep=rep1\
track wgEncodeDukeAffyExonMcf7VehSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeOpenChromFaireMcf7HypoxlacBaseOverlapSignal MCF7 hypox FAI OS bigWig 0.000000 1609.000000 MCF-7 Hypoxia FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 39 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MCF7 hypox FAI OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromFaireMcf7HypoxlacBaseOverlapSignal\
type bigWig 0.000000 1609.000000\
wgEncodeSydhHistonePanc1H3k04me3bUcdPk PANC-1 H3K4me3 narrowPeak PANC-1 H3K4me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH 3 39 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PANC-1 H3K4me3 Histone Modifications by ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PANC-1 H3K4me3\
subGroups view=Peaks factor=H3K04ME3B cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k04me3bUcdPk\
type narrowPeak\
dhcHumDerDenAncSpliceFixed Splice Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Splice 0 39 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Splice\
parent dhcHumDerDenAncEns\
shortLabel Splice Fxd\
subGroups view=Ens subset=Splice freq=Fixed\
track dhcHumDerDenAncSpliceFixed\
Agilent_Human_Exon_V6_COSMIC_Regions SureSel. V6+COSMIC T bigBed Agilent - SureSelect All Exon V6 + COSMIC r2 Target Regions 0 39 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604715_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 + COSMIC r2 Target Regions\
parent exomeProbesets off\
shortLabel SureSel. V6+COSMIC T\
track Agilent_Human_Exon_V6_COSMIC_Regions\
type bigBed\
gtexEqtlTissueThyroid thyroid bed 9 + Expression QTL in Thyroid from GTEx V6 0 39 0 139 69 127 197 162 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 0,139,69\
idInUrlSql select gene from gtexEqtlTissueThyroid where name='%s'\
longLabel Expression QTL in Thyroid from GTEx V6\
parent gtexEqtlTissue on\
shortLabel thyroid\
track gtexEqtlTissueThyroid\
wgEncodeGisRnaPetA549CellPapPlusRawRep3 A549 cell pA+ + 3 bigWig 1.000000 2993260.000000 A549 whole cell polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS 2 40 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 cell pA+ + 3\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CellPapPlusRawRep3\
type bigWig 1.000000 2993260.000000\
wgEncodeUwHistoneA549H3k04me3StdPkRep1 A549 H3K4M3 Pk 1 narrowPeak A549 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 40 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel A549 H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t2A549 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdPkRep1\
type narrowPeak\
encTfChipPkENCFF188XRD A549 REST 2 narrowPeak Transcription Factor ChIP-seq Peaks of REST in A549 from ENCODE 3 (ENCFF188XRD) 1 40 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of REST in A549 from ENCODE 3 (ENCFF188XRD)\
parent encTfChipPk off\
shortLabel A549 REST 2\
subGroups cellType=A549 factor=REST\
track encTfChipPkENCFF188XRD\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_ctss_rev AorticSmsToFgf2_05hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_reverse 0 40 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep1%20%28LK25%29.CNhs13347.12650-134H4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12650-134H4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_tpm_rev AorticSmsToFgf2_05hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_reverse 1 40 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep1%20%28LK25%29.CNhs13347.12650-134H4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep1 (LK25)_CNhs13347_12650-134H4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12650-134H4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep1LK25_CNhs13347_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12650-134H4\
urlLabel FANTOM5 Details:\
pgNA19703indel ASW NA19703 indel pgSnp ASW NA19703 indel (Complete Genomics) 0 40 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19703 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19703 indel\
subGroups view=C_CG id=CA_div_GS19703 type=Indel\
track pgNA19703indel\
wgEncodeHaibMethylRrbsBcbreast0203015BiochainSitesRep2 Breast BC 2 bed 9 + Breast BC 02-03015 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 40 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Breast BC 02-03015 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Breast BC 2\
subGroups cellType=t3BREASTBC0203015 obtainedBy=BioChain treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsBcbreast0203015BiochainSitesRep2\
type bed 9 +\
wgEncodeUwDgfCd4naivewb11970640Raw CD4+_Naive Raw bigWig 1.000000 200613.000000 CD4+ Naive Wb11970640 DNaseI DGF Raw Signal from ENCODE/UW 0 40 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD4+ Naive Wb11970640 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel CD4+_Naive Raw\
subGroups view=zRaw cellType=t3CD4NAIVEWB11970640 treatment=aNONE rep=rep1\
track wgEncodeUwDgfCd4naivewb11970640Raw\
type bigWig 1.000000 200613.000000\
wgEncodeHaibRnaSeqEcc1Bpa14hAlnRep2 ECC-1 BPA 2 bam ECC-1 BPA 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 40 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 BPA 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 BPA 2\
subGroups view=Alignments cellType=t3ECC1 treatment=BPA14h rep=rep2\
track wgEncodeHaibRnaSeqEcc1Bpa14hAlnRep2\
type bam\
wgEncodeAwgTfbsHaibGm12878Nfatc1sc17834V0422111UniPk GM12878 NFATC1 narrowPeak GM12878 TFBS Uniform Peaks of NFATC1_(SC-17834) from ENCODE/HudsonAlpha/Analysis 1 40 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NFATC1_(SC-17834) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NFATC1\
subGroups tier=a10 cellType=a10GM12878 factor=NFATC1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Nfatc1sc17834V0422111UniPk\
wgEncodeHaibTfbsGm12878Egr1V0416101RawRep1 GM78 Egr-1 V101 1 bigWig 0.224233 153.487000 GM12878 Egr-1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 40 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Egr-1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 Egr-1 V101 1\
subGroups view=RawSignal factor=EGR1 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Egr1V0416101RawRep1\
type bigWig 0.224233 153.487000\
wgEncodeSydhTfbsGm12878Mazab85725IggmusSig GM78 MAZ IgM bigWig 1.000000 12600.000000 GM12878 MAZ IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 40 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MAZ IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 MAZ IgM\
subGroups view=Signal factor=MAZAB85725 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Mazab85725IggmusSig\
type bigWig 1.000000 12600.000000\
wgEncodeCshlLongRnaSeqGm12878NucleolusTotalPlusSignalRep4 GM78 nlus tot + 4 bigWig 1.000000 425581.000000 GM12878 nucleolus total RNA-seq Plus signal Rep 4 from ENCODE/CSHL 2 40 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleolus total RNA-seq Plus signal Rep 4 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nlus tot + 4\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEOLUS rnaExtract=TOTAL rep=rep4 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleolusTotalPlusSignalRep4\
type bigWig 1.000000 425581.000000\
wgEncodeBroadHistoneH1hescH3k4me2StdPk H1-hESC H3K4m2 broadPeak H1-hESC H3K4me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 40 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K4me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H3K4m2\
subGroups view=Peaks factor=H3K04ME2 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me2StdPk\
type broadPeak\
wgEncodeCaltechRnaSeqH1hescR1x75dSplicesRep2V2 H1ES 1x75D Sp 2 bam H1-hESC single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 40 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel H1ES 1x75D Sp 2\
subGroups view=Splices cellType=t1H1HESC insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqH1hescR1x75dSplicesRep2V2\
type bam\
wgEncodeRikenCageH1hescNucleusPapMinusSignalRep2 H1ES nucl pA+ - 2 bigWig 0.040000 6403.740234 H1-hESC nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 40 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel H1ES nucl pA+ - 2\
subGroups view=MinusRawSignal cellType=t1H1HESC localization=nucleus rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescNucleusPapMinusSignalRep2\
type bigWig 0.040000 6403.740234\
wgEncodeUwAffyExonArrayH7esDiffa2dSimpleSignalRep1 H7-hESC 2d 1 broadPeak H7-hESC differentiated 2 d Exon Array Signal Rep 1 from ENCODE/UW 0 40 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 2 d Exon Array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 2d 1\
subGroups cellType=t3H7HESC treatment=DIFFA2D rep=rep1\
track wgEncodeUwAffyExonArrayH7esDiffa2dSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHaspUniPk HA-sp DNase narrowPeak HA-sp DNaseI HS Uniform Peaks from ENCODE/Analysis 1 40 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HA-sp DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HA-sp DNase\
subGroups tier=a30 cellType=HA-sp\
track wgEncodeAwgDnaseUwHaspUniPk\
wgEncodeOpenChromChipHelas3CtcfPk HeLa-S3 CTCF Pk narrowPeak HeLa-S3 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 40 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HeLa-S3 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CtcfPk\
type narrowPeak\
wgEncodeUwRepliSeqHepg2SumSignalRep1 HepG2 Sd 1 bigWig 1.000000 2691.000000 HepG2 Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 40 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel HepG2 Sd 1\
subGroups view=v5SumSignal cellType=t2HEPG2 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHepg2SumSignalRep1\
type bigWig 1.000000 2691.000000\
wgEncodeHaibGenotypeHmecRegionsRep2 HMEC 1 bed 9 + HMEC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 40 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HMEC Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HMEC 1\
subGroups cellType=t3HMEC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHmecRegionsRep2\
type bed 9 +\
wgEncodeHaibMethyl450HrceSitesRep1 HRCEpiC bed 9 HRCEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 40 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRCEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HRCEpiC\
subGroups cellType=t3HRCEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HrceSitesRep1\
type bed 9\
wgEncodeUwTfbsHuvecCtcfStdRawRep1 HUVEC CTCF Sg 1 bigWig 1.000000 2691.000000 HUVEC CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 40 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HUVEC CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t2HUVEC rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdRawRep1\
type bigWig 1.000000 2691.000000\
wgEncodeUwDnaseHuvecHotspotsRep1 HUVEC Ht 1 broadPeak HUVEC DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 40 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HUVEC Ht 1\
subGroups view=Hot cellType=t2HUVEC rep=rep1 treatment=None\
track wgEncodeUwDnaseHuvecHotspotsRep1\
type broadPeak\
wgEncodeOpenChromDnaseHuvecPk HUVEC Pk narrowPeak HUVEC DNaseI HS Peaks from ENCODE/Duke 3 40 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel HUVEC Pk\
subGroups view=Peaks cellType=t2HUVEC treatment=zNONE\
track wgEncodeOpenChromDnaseHuvecPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqK562CellShorttotalTapPlusRawRep1 K562 cell TAP + 1 bigWig 1.000000 1375703.000000 K562 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 40 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal on\
shortLabel K562 cell TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562CellShorttotalTapPlusRawRep1\
type bigWig 1.000000 1375703.000000\
wgEncodeDukeAffyExonMcf7VehSimpleSignalRep2V2 MCF-7 Veh 2 bigBed 6 + MCF-7 Vehicle Exon array Signal Rep 2 from ENCODE/Duke 0 40 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Vehicle Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 Veh 2\
subGroups cellType=t2MCF7 treatment=VEH rep=rep2\
track wgEncodeDukeAffyExonMcf7VehSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeOpenChromFaireMcf7VehPk MCF-7 Veh FAIR Pk narrowPeak MCF-7 Vehicle FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 40 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Vehicle FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MCF-7 Veh FAIR Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=VEH\
track wgEncodeOpenChromFaireMcf7VehPk\
type narrowPeak\
wgEncodeSydhHistonePanc1H3k04me3bUcdSig PANC-1 H3K4me3 bigWig 1.000000 13162.000000 PANC-1 H3K4me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH 2 40 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PANC-1 H3K4me3 Histone Modifications by ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PANC-1 H3K4me3\
subGroups view=Signal factor=H3K04ME3B cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k04me3bUcdSig\
type bigWig 1.000000 13162.000000\
dhcHumDerDenAncSpliceFixedDbSnp Splice FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Splice 0 40 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Splice\
parent dhcHumDerDenAncEns\
shortLabel Splice FxS\
subGroups view=Ens subset=Splice freq=FixedDbSnp\
track dhcHumDerDenAncSpliceFixedDbSnp\
Agilent_Human_Exon_V6_UTRs_Covered SureSel. V6+UTR P bigBed Agilent - SureSelect All Exon V6 + UTR r2 Covered by Probes 0 40 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604624_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 + UTR r2 Covered by Probes\
parent exomeProbesets off\
shortLabel SureSel. V6+UTR P\
track Agilent_Human_Exon_V6_UTRs_Covered\
type bigBed\
gtexEqtlTissueUterus uterus bed 9 + Expression QTL in Uterus from GTEx V6 0 40 238 213 210 246 234 232 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,213,210\
idInUrlSql select gene from gtexEqtlTissueUterus where name='%s'\
longLabel Expression QTL in Uterus from GTEx V6\
parent gtexEqtlTissue on\
shortLabel uterus\
track gtexEqtlTissueUterus\
wgEncodeGisRnaPetA549CellPapPlusRawRep4 A549 cell pA+ + 4 bigWig 1.000000 3211090.000000 A549 whole cell polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS 2 41 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 cell pA+ + 4\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CellPapPlusRawRep4\
type bigWig 1.000000 3211090.000000\
wgEncodeUwHistoneA549H3k04me3StdRawRep1 A549 H3K4M3 Sg 1 bigWig 1.000000 2317.000000 A549 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 41 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel A549 H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t2A549 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdRawRep1\
type bigWig 1.000000 2317.000000\
encTfChipPkENCFF053TBK A549 RFX5 narrowPeak Transcription Factor ChIP-seq Peaks of RFX5 in A549 from ENCODE 3 (ENCFF053TBK) 1 41 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of RFX5 in A549 from ENCODE 3 (ENCFF053TBK)\
parent encTfChipPk off\
shortLabel A549 RFX5\
subGroups cellType=A549 factor=RFX5\
track encTfChipPkENCFF053TBK\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_ctss_fwd AorticSmsToFgf2_05hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_forward 0 41 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep2%20%28LK26%29.CNhs13367.12748-136A3.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12748-136A3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_tpm_fwd AorticSmsToFgf2_05hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_forward 1 41 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep2%20%28LK26%29.CNhs13367.12748-136A3.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12748-136A3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3\
urlLabel FANTOM5 Details:\
pgNA19704 ASW NA19704 pgSnp ASW NA19704 (Complete Genomics) 0 41 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19704 (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19704\
subGroups view=C_CG id=CA_div_GS19704 type=SNP\
track pgNA19704\
wgEncodeHaibMethylRrbsCaco2UwSitesRep1 Caco-2 1 bed 9 + Caco-2 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 41 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Caco-2 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Caco-2 1\
subGroups cellType=t3CACO2 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsCaco2UwSitesRep1\
type bed 9 +\
wgEncodeHaibRnaSeqEcc1Dm002p4hRawRep1 ECC-1 DMSO 1 bigWig 0.264957 963.716003 ECC-1 DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 41 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 DMSO 1\
subGroups view=RawSignal cellType=t3ECC1 treatment=DM002P4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Dm002p4hRawRep1\
type bigWig 0.264957 963.716003\
wgEncodeUwDgfGm06990Hotspots GM06990 Hot broadPeak GM06990 DNaseI DGF Hotspots from ENCODE/UW 0 41 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM06990 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel GM06990 Hot\
subGroups view=Hotspots cellType=t3GM06990 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm06990Hotspots\
type broadPeak\
wgEncodeAwgTfbsSydhGm12878Nfe2sc22827UniPk GM12878 NFE2 narrowPeak GM12878 TFBS Uniform Peaks of NF-E2_(SC-22827) from ENCODE/Stanford/Analysis 1 41 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NF-E2_(SC-22827) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NFE2\
subGroups tier=a10 cellType=a10GM12878 factor=NFE2 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Nfe2sc22827UniPk\
wgEncodeHaibTfbsGm12878Egr1V0416101PkRep2 GM78 Egr-1 V101 2 broadPeak GM12878 Egr-1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 41 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Egr-1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 Egr-1 V101 2\
subGroups view=Peaks factor=EGR1 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Egr1V0416101PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Mxi1IggmusPk GM78 Mxi1 IgM narrowPeak GM12878 Mxi1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 41 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Mxi1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 Mxi1 IgM\
subGroups view=Peaks factor=MXI1 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Mxi1IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaAlnRep1 GM78 nuc pA- A 1 bam GM12878 nucleus polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 41 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nuc pA- A 1\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaAlnRep1\
type bam\
wgEncodeBroadHistoneH1hescH3k4me2StdSig H1-hESC H3K4m2 bigWig 0.040000 9300.160156 H1-hESC H3K4me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 41 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K4me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H3K4m2\
subGroups view=Signal factor=H3K04ME2 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me2StdSig\
type bigWig 0.040000 9300.160156\
wgEncodeRikenCageH1hescNucleusPapAlnRep2 H1ES nucl pA+ A 2 bam H1-hESC nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 41 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel H1ES nucl pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=nucleus rnaExtract=pAP rep=rep2 rank=rank1\
track wgEncodeRikenCageH1hescNucleusPapAlnRep2\
type bam\
wgEncodeUwAffyExonArrayH7esDiffa5dSimpleSignalRep1 H7-hESC 5d 1 broadPeak H7-hESC differentiated 5 d Exon Array Signal Rep 1 from ENCODE/UW 0 41 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 5 d Exon Array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 5d 1\
subGroups cellType=t3H7HESC treatment=DIFFA5D rep=rep1\
track wgEncodeUwAffyExonArrayH7esDiffa5dSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHaepicUniPk HAEpiC DNase narrowPeak HAEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 41 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HAEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HAEpiC DNase\
subGroups tier=a30 cellType=HAEpiC\
track wgEncodeAwgDnaseUwHaepicUniPk\
wgEncodeOpenChromChipHelas3CtcfSig HeLa-S3 CTCF DS bigWig 0.000000 8.258300 HeLa-S3 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 41 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HeLa-S3 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CtcfSig\
type bigWig 0.000000 8.258300\
wgEncodeHaibGenotypeHnpceRegionsRep1 HNPCEpiC 1 bed 9 + HNPCEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 41 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HNPCEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HNPCEpiC 1\
subGroups cellType=t3HNPCEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHnpceRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HreSitesRep1 HRE bed 9 HRE Methylation 450K Bead Array from ENCODE/HAIB 1 41 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRE Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HRE\
subGroups cellType=t3HRE obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HreSitesRep1\
type bed 9\
wgEncodeUwTfbsHuvecCtcfStdHotspotsRep2 HUVEC CTCF Ht 2 broadPeak HUVEC CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 41 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel HUVEC CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t2HUVEC rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdHotspotsRep2\
type broadPeak\
wgEncodeOpenChromDnaseHuvecSig HUVEC DS bigWig 0.000000 2.605700 HUVEC DNaseI HS Density Signal from ENCODE/Duke 2 41 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel HUVEC DS\
subGroups view=SIG cellType=t2HUVEC treatment=zNONE\
track wgEncodeOpenChromDnaseHuvecSig\
type bigWig 0.000000 2.605700\
wgEncodeUwRepliSeqHuvecG1bPctSignalRep1 HUVEC G1b 1 bigWig 1.000000 100.000000 HUVEC G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 41 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC G1b 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqHuvecG1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseHuvecPkRep1V2 HUVEC Pk 1 narrowPeak HUVEC DNaseI HS Peaks Rep 1 from ENCODE/UW 1 41 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HUVEC Pk 1\
subGroups view=Peaks cellType=t2HUVEC rep=rep1 treatment=None\
track wgEncodeUwDnaseHuvecPkRep1V2\
type narrowPeak\
wgEncodeCaltechRnaSeqK562R2x75Il200AlignsRep1V2 K562 2x75 A 1 bam K562 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 41 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel K562 2x75 A 1\
subGroups view=Aligns cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Il200AlignsRep1V2\
type bam\
wgEncodeCshlShortRnaSeqK562CellShorttotalTapPlusRawRep2 K562 cell TAP + 2 bigWig 1.000000 1897902.000000 K562 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 41 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 cell TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562CellShorttotalTapPlusRawRep2\
type bigWig 1.000000 1897902.000000\
wgEncodeDukeAffyExonMcf7SimpleSignalRep1V2 MCF-7 1 bigBed 6 + MCF-7 Exon array Signal Rep 1 from ENCODE/Duke 0 41 0 0 0 127 127 127 1 0 0 expression 1 longLabel MCF-7 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel MCF-7 1\
subGroups cellType=t2MCF7 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonMcf7SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeOpenChromFaireMcf7VehSig MCF-7 Veh FAIR DS bigWig 0.000000 0.757500 MCF-7 Vehicle FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 41 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Vehicle FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MCF-7 Veh FAIR DS\
subGroups view=SIG cellType=t2MCF7 treatment=VEH\
track wgEncodeOpenChromFaireMcf7VehSig\
type bigWig 0.000000 0.757500\
wgEncodeSydhHistonePanc1H3k27acUcdPk PANC-1 H3K27ac narrowPeak PANC-1 H3K27ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 41 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PANC-1 H3K27ac Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PANC-1 H3K27ac\
subGroups view=Peaks factor=H3K27AC cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k27acUcdPk\
type narrowPeak\
dhcHumDerDenAncSpliceHighFreq Splice HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Splice 0 41 200 0 0 227 127 127 0 0 0 denisova 1 color 200,0,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Splice\
parent dhcHumDerDenAncEns\
shortLabel Splice HiF\
subGroups view=Ens subset=Splice freq=HighFreq\
track dhcHumDerDenAncSpliceHighFreq\
Agilent_Human_Exon_V7_Covered SureSel. V7 P bigBed Agilent - SureSelect All Exon V7 Covered by Probes 0 41 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S31285117_Covered.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V7 Covered by Probes\
parent exomeProbesets on\
shortLabel SureSel. V7 P\
track Agilent_Human_Exon_V7_Covered\
type bigBed\
gtexEqtlTissueVagina vagina bed 9 + Expression QTL in Vagina from GTEx V6 0 41 238 213 210 246 234 232 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,213,210\
idInUrlSql select gene from gtexEqtlTissueVagina where name='%s'\
longLabel Expression QTL in Vagina from GTEx V6\
parent gtexEqtlTissue on\
shortLabel vagina\
track gtexEqtlTissueVagina\
wgEncodeDukeAffyExon8988tSimpleSignalRep1V2 8988T 1 bigBed 6 + 8988T Exon array Signal Rep 1 from ENCODE/Duke 0 42 0 0 0 127 127 127 1 0 0 expression 1 longLabel 8988T Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel 8988T 1\
subGroups cellType=t3A8988T treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExon8988tSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeGisRnaPetA549CellPapAlnRep3 A549 cell pA+ A 3 bam A549 whole cell polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS 0 42 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 whole cell polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 cell pA+ A 3\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CellPapAlnRep3\
type bam\
wgEncodeUwHistoneA549H3k04me3StdHotspotsRep2 A549 H3K4M3 Ht 2 broadPeak A549 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 42 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel A549 H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t2A549 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdHotspotsRep2\
type broadPeak\
encTfChipPkENCFF626AQW A549 RNF2 narrowPeak Transcription Factor ChIP-seq Peaks of RNF2 in A549 from ENCODE 3 (ENCFF626AQW) 1 42 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of RNF2 in A549 from ENCODE 3 (ENCFF626AQW)\
parent encTfChipPk off\
shortLabel A549 RNF2\
subGroups cellType=A549 factor=RNF2\
track encTfChipPkENCFF626AQW\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_ctss_rev AorticSmsToFgf2_05hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_reverse 0 42 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep2%20%28LK26%29.CNhs13367.12748-136A3.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12748-136A3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_tpm_rev AorticSmsToFgf2_05hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_reverse 1 42 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep2%20%28LK26%29.CNhs13367.12748-136A3.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep2 (LK26)_CNhs13367_12748-136A3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12748-136A3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep2LK26_CNhs13367_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12748-136A3\
urlLabel FANTOM5 Details:\
pgNA19704indel ASW NA19704 indel pgSnp ASW NA19704 indel (Complete Genomics) 0 42 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19704 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19704 indel\
subGroups view=C_CG id=CA_div_GS19704 type=Indel\
track pgNA19704indel\
wgEncodeHaibMethylRrbsCaco2UwSitesRep2 Caco-2 2 bed 9 + Caco-2 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 42 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Caco-2 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Caco-2 2\
subGroups cellType=t3CACO2 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsCaco2UwSitesRep2\
type bed 9 +\
wgEncodeHaibRnaSeqEcc1Dm002p4hAlnRep1 ECC-1 DMSO 1 bam ECC-1 DMSO 4 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 42 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 DMSO 4 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 DMSO 1\
subGroups view=Alignments cellType=t3ECC1 treatment=DM002P4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Dm002p4hAlnRep1\
type bam\
wgEncodeUwDgfGm06990Pk GM06990 Pk narrowPeak GM06990 DNaseI DGF Peaks from ENCODE/UW 0 42 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM06990 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel GM06990 Pk\
subGroups view=Peaks cellType=t3GM06990 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm06990Pk\
type narrowPeak\
wgEncodeAwgTfbsHaibGm12878Nficsc81335V0422111UniPk GM12878 NFIC narrowPeak GM12878 TFBS Uniform Peaks of NFIC_(SC-81335) from ENCODE/HudsonAlpha/Analysis 1 42 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NFIC_(SC-81335) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NFIC\
subGroups tier=a10 cellType=a10GM12878 factor=NFIC lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Nficsc81335V0422111UniPk\
wgEncodeHaibTfbsGm12878Egr1V0416101RawRep2 GM78 Egr-1 V101 2 bigWig 0.177257 135.867004 GM12878 Egr-1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 42 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Egr-1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 Egr-1 V101 2\
subGroups view=RawSignal factor=EGR1 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Egr1V0416101RawRep2\
type bigWig 0.177257 135.867004\
wgEncodeSydhTfbsGm12878Mxi1IggmusSig GM78 Mxi1 IgM bigWig 1.000000 13184.000000 GM12878 Mxi1 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 42 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Mxi1 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 Mxi1 IgM\
subGroups view=Signal factor=MXI1 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Mxi1IggmusSig\
type bigWig 1.000000 13184.000000\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaAlnRep2 GM78 nuc pA- A 2 bam GM12878 nucleus polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 42 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nuc pA- A 2\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaAlnRep2\
type bam\
wgEncodeBroadHistoneH1hescH3k4me3StdPk H1-hESC H3K4m3 broadPeak H1-hESC H3K4me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 42 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K4me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC H3K4m3\
subGroups view=Peaks factor=H3K04ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me3StdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPamTssHmmV2 H1ES cell pA- bed 6 H1-hESC whole cell polyA- CAGE TSS HMM from ENCODE/RIKEN 3 42 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel H1ES cell pA-\
subGroups view=TssHmm cellType=t1H1HESC localization=wcell rnaExtract=pAM rep=rep0 rank=rankP\
track wgEncodeRikenCageH1hescCellPamTssHmmV2\
type bed 6\
wgEncodeUwAffyExonArrayH7esDiffa9dSimpleSignalRep1 H7-hESC 9d 1 broadPeak H7-hESC differentiated 9 d Exon Array Signal Rep 1 from ENCODE/UW 0 42 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 9 d Exon Array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 9d 1\
subGroups cellType=t3H7HESC treatment=DIFFA9D rep=rep1\
track wgEncodeUwAffyExonArrayH7esDiffa9dSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHacUniPk HAc DNase narrowPeak HAc DNaseI HS Uniform Peaks from ENCODE/Analysis 1 42 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HAc DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HAc DNase\
subGroups tier=a30 cellType=HAc\
track wgEncodeAwgDnaseUwHacUniPk\
wgEncodeOpenChromChipHelas3CtcfBaseOverlapSignal HeLa-S3 CTCF OS bigWig 0.000000 1958.000000 HeLa-S3 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 42 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HeLa-S3 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3CtcfBaseOverlapSignal\
type bigWig 0.000000 1958.000000\
wgEncodeHaibGenotypeHpaeRegionsRep1 HPAEpiC 1 bed 9 + HPAEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 42 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HPAEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HPAEpiC 1\
subGroups cellType=t3HPAEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHpaeRegionsRep1\
type bed 9 +\
wgEncodeHaibMethyl450HrpeSitesRep1 HRPEpiC bed 9 HRPEpiC Methylation 450K Bead Array from ENCODE/HAIB 1 42 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRPEpiC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel HRPEpiC\
subGroups cellType=t3HRPEPIC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450HrpeSitesRep1\
type bed 9\
wgEncodeUwTfbsHuvecCtcfStdPkRep2 HUVEC CTCF Pk 2 narrowPeak HUVEC CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 42 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel HUVEC CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t2HUVEC rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdPkRep2\
type narrowPeak\
wgEncodeOpenChromDnaseHuvecBaseOverlapSignal HUVEC OS bigWig 0.000000 198.000000 HUVEC DNaseI HS Overlap Signal from ENCODE/Duke 2 42 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel HUVEC OS\
subGroups view=SIGBO cellType=t2HUVEC treatment=zNONE\
track wgEncodeOpenChromDnaseHuvecBaseOverlapSignal\
type bigWig 0.000000 198.000000\
wgEncodeUwRepliSeqHuvecS1PctSignalRep1 HUVEC S1 1 bigWig 1.000000 100.000000 HUVEC S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 42 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC S1 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqHuvecS1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseHuvecRawRep1 HUVEC Sg 1 bigWig 1.000000 12042.000000 HUVEC DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 42 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HUVEC Sg 1\
subGroups view=zRSig cellType=t2HUVEC rep=rep1 treatment=None\
track wgEncodeUwDnaseHuvecRawRep1\
type bigWig 1.000000 12042.000000\
wgEncodeCaltechRnaSeqK562R2x75Il200AlignsRep2V2 K562 2x75 A 2 bam K562 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 42 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel K562 2x75 A 2\
subGroups view=Aligns cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Il200AlignsRep2V2\
type bam\
wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapContigs K562 chrm TAP C bed 6 K562 TAP-only chromatin small RNA-seq Contigs from ENCODE/CSHL 2 42 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only chromatin small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel K562 chrm TAP C\
subGroups view=Contigs cellType=t1K562 localization=CHROMATIN protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapContigs\
type bed 6\
wgEncodeOpenChromFaireMcf7VehBaseOverlapSignal MCF-7 Veh FAIR OS bigWig 0.000000 1481.000000 MCF-7 Vehicle FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 42 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Vehicle FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MCF-7 Veh FAIR OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=VEH\
track wgEncodeOpenChromFaireMcf7VehBaseOverlapSignal\
type bigWig 0.000000 1481.000000\
wgEncodeSydhHistonePanc1H3k27acUcdSig PANC-1 H3K27ac bigWig 1.000000 26675.000000 PANC-1 H3K27ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 42 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PANC-1 H3K27ac Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PANC-1 H3K27ac\
subGroups view=Signal factor=H3K27AC cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1H3k27acUcdSig\
type bigWig 1.000000 26675.000000\
Agilent_Human_Exon_V7_Regions SureSel. V7 T bigBed Agilent - SureSelect All Exon V7 Target Regions 0 42 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S31285117_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V7 Target Regions\
parent exomeProbesets on\
shortLabel SureSel. V7 T\
track Agilent_Human_Exon_V7_Regions\
type bigBed\
dhcHumDerDenAncUtr3Fixed Utr3 Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: 3' UTR 0 42 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: 3' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr3 Fxd\
subGroups view=Ens subset=Utr3 freq=Fixed\
track dhcHumDerDenAncUtr3Fixed\
gtexEqtlTissueWholeBlood wholeBlood bed 9 + Expression QTL in Whole_Blood from GTEx V6 0 42 255 0 255 255 127 255 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 255,0,255\
idInUrlSql select gene from gtexEqtlTissueWholeBlood where name='%s'\
longLabel Expression QTL in Whole_Blood from GTEx V6\
parent gtexEqtlTissue on\
shortLabel wholeBlood\
track gtexEqtlTissueWholeBlood\
wgEncodeDukeAffyExon8988tSimpleSignalRep2V2 8988T 2 bigBed 6 + 8988T Exon array Signal Rep 2 from ENCODE/Duke 0 43 0 0 0 127 127 127 1 0 0 expression 1 longLabel 8988T Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel 8988T 2\
subGroups cellType=t3A8988T treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExon8988tSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeGisRnaPetA549CellPapAlnRep4 A549 cell pA+ A 4 bam A549 whole cell polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS 0 43 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 whole cell polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 cell pA+ A 4\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=cell rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CellPapAlnRep4\
type bam\
wgEncodeUwHistoneA549H3k04me3StdPkRep2 A549 H3K4M3 Pk 2 narrowPeak A549 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 43 0 0 0 127 127 127 0 0 0 regulation 1 longLabel A549 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel A549 H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t2A549 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdPkRep2\
type narrowPeak\
encTfChipPkENCFF172VGB A549 SIN3A 1 narrowPeak Transcription Factor ChIP-seq Peaks of SIN3A in A549 from ENCODE 3 (ENCFF172VGB) 1 43 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SIN3A in A549 from ENCODE 3 (ENCFF172VGB)\
parent encTfChipPk off\
shortLabel A549 SIN3A 1\
subGroups cellType=A549 factor=SIN3A\
track encTfChipPkENCFF172VGB\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_ctss_fwd AorticSmsToFgf2_05hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_forward 0 43 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep3%20%28LK27%29.CNhs13575.12846-137C2.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12846-137C2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_tpm_fwd AorticSmsToFgf2_05hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_forward 1 43 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep3%20%28LK27%29.CNhs13575.12846-137C2.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12846-137C2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2\
urlLabel FANTOM5 Details:\
pgNA19834 ASW NA19834 pgSnp ASW NA19834 (Complete Genomics) 0 43 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19834 (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19834\
subGroups view=C_CG id=CA_div_GS19834 type=SNP\
track pgNA19834\
wgEncodeHaibMethylRrbsCmkUwSitesRep1 CMK 1 bed 9 + CMK Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 43 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CMK Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel CMK 1\
subGroups cellType=t3CMK obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsCmkUwSitesRep1\
type bed 9 +\
wgEncodeOpenChromFaireColonocPk Colon FAIRE Pk narrowPeak Colon FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 43 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Colon FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Colon FAIRE Pk\
subGroups view=Peaks cellType=t3COLONOC treatment=AANONE\
track wgEncodeOpenChromFaireColonocPk\
type narrowPeak\
wgEncodeHaibRnaSeqEcc1Dm002p4hRawRep2 ECC-1 DMSO 2 bigWig 0.176215 817.461975 ECC-1 DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 43 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 DMSO 2\
subGroups view=RawSignal cellType=t3ECC1 treatment=DM002P4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Dm002p4hRawRep2\
type bigWig 0.176215 817.461975\
wgEncodeUwDgfGm06990Sig GM06990 Sig bigWig 1.000000 9745.000000 GM06990 DNaseI DGF Per-base Signal from ENCODE/UW 2 43 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM06990 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel GM06990 Sig\
subGroups view=Signal cellType=t3GM06990 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm06990Sig\
type bigWig 1.000000 9745.000000\
wgEncodeAwgTfbsSydhGm12878NfyaIggmusUniPk GM12878 NFYA narrowPeak GM12878 TFBS Uniform Peaks of NF-YA from ENCODE/Harvard/Analysis 1 43 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NF-YA from ENCODE/Harvard/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NFYA\
subGroups tier=a10 cellType=a10GM12878 factor=NFYA lab=Harvard\
track wgEncodeAwgTfbsSydhGm12878NfyaIggmusUniPk\
wgEncodeHaibTfbsGm12878Elf1sc631V0416101PkRep1 GM78 ELF1 V101 1 broadPeak GM12878 ELF1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 43 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELF1 v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ELF1 V101 1\
subGroups view=Peaks factor=ELF1SC631 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Elf1sc631V0416101PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Nfe2sc22827StdPk GM78 NFE2 Std narrowPeak GM12878 NF-E2 SC22827 Standard ChIP-seq Peaks from ENCODE/SYDH 3 43 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NF-E2 SC22827 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 NFE2 Std\
subGroups view=Peaks factor=NFE2SC22827 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Nfe2sc22827StdPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusPamContigs GM78 nuc pA- C bed 6 + GM12878 nucleus polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 43 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel GM78 nuc pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqGm12878NucleusPamContigs\
type bed 6 +\
wgEncodeBroadHistoneH1hescH3k4me3StdSig H1-hESC H3K4m3 bigWig 0.040000 9565.759766 H1-hESC H3K4me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 43 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K4me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC H3K4m3\
subGroups view=Signal factor=H3K04ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k4me3StdSig\
type bigWig 0.040000 9565.759766\
wgEncodeRikenCageH1hescCellPamPlusSignal H1ES cell pA- + 1 bigWig 0.040000 23004.330078 H1-hESC whole cell polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 43 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel H1ES cell pA- + 1\
subGroups view=PlusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageH1hescCellPamPlusSignal\
type bigWig 0.040000 23004.330078\
wgEncodeUwAffyExonArrayH7esDiffa14dSimpleSignalRep2 H7-hESC 14d 2 broadPeak H7-hESC differentiated 14 d Exon Array Signal Rep 2 from ENCODE/UW 0 43 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 14 d Exon Array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 14d 2\
subGroups cellType=t3H7HESC treatment=DIFFA14D rep=rep2\
track wgEncodeUwAffyExonArrayH7esDiffa14dSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHbmecUniPk HBMEC DNase narrowPeak HBMEC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 43 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HBMEC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HBMEC DNase\
subGroups tier=a30 cellType=HBMEC\
track wgEncodeAwgDnaseUwHbmecUniPk\
wgEncodeOpenChromChipHelas3Pol2Pk HeLa-S3 Pol2 Pk narrowPeak HeLa-S3 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 43 0 119 158 127 187 206 1 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HeLa-S3 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3Pol2Pk\
type narrowPeak\
wgEncodeHaibGenotypeHpaeRegionsRep2 HPAEpiC 2 bed 9 + HPAEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 43 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HPAEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HPAEpiC 2\
subGroups cellType=t3HPAEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHpaeRegionsRep2\
type bed 9 +\
wgEncodeUwTfbsHuvecCtcfStdRawRep2 HUVEC CTCF Sg 2 bigWig 1.000000 1952.000000 HUVEC CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 43 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HUVEC CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t2HUVEC rep=rep2 treatment=aNone\
track wgEncodeUwTfbsHuvecCtcfStdRawRep2\
type bigWig 1.000000 1952.000000\
wgEncodeUwDnaseHuvecHotspotsRep2 HUVEC Ht 2 broadPeak HUVEC DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 43 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel HUVEC Ht 2\
subGroups view=Hot cellType=t2HUVEC rep=rep2 treatment=None\
track wgEncodeUwDnaseHuvecHotspotsRep2\
type broadPeak\
wgEncodeUwRepliSeqHuvecS2PctSignalRep1 HUVEC S2 1 bigWig 1.000000 100.000000 HUVEC S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 43 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC S2 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqHuvecS2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseImr90Pk IMR90 Pk narrowPeak IMR90 DNaseI HS Peaks from ENCODE/Duke 3 43 0 0 0 127 127 127 1 0 0 regulation 1 longLabel IMR90 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel IMR90 Pk\
subGroups view=Peaks cellType=t2IMR90 treatment=zNONE\
track wgEncodeOpenChromDnaseImr90Pk\
type narrowPeak\
wgEncodeHaibMethyl450JurkatSitesRep1 Jurkat bed 9 Jurkat Methylation 450K Bead Array from ENCODE/HAIB 1 43 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Jurkat Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel Jurkat\
subGroups cellType=t3JURKAT obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450JurkatSitesRep1\
type bed 9\
wgEncodeCaltechRnaSeqK562R2x75Th1014Il200SigRep1V4 K562 2x75 Sg 1 bigWig 0.025000 272104.406250 K562 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 43 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal\
shortLabel K562 2x75 Sg 1\
subGroups view=Signal cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Th1014Il200SigRep1V4\
type bigWig 0.025000 272104.406250\
wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapMinusRawRep3 K562 chrm TAP - 1 bigWig 1.000000 1152525.000000 K562 TAP-only chromatin small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 43 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only chromatin small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 chrm TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=CHROMATIN protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapMinusRawRep3\
type bigWig 1.000000 1152525.000000\
wgEncodeSydhHistonePanc1InputUcdSig PANC-1 Input bigWig 1.000000 65207.000000 PANC-1 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 43 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PANC-1 Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PANC-1 Input\
subGroups view=Signal factor=INPUT cellType=cPANC1 control=UCD treatment=NONE\
track wgEncodeSydhHistonePanc1InputUcdSig\
type bigWig 1.000000 65207.000000\
Agilent_Human_Exon_V6_UTRs_Regions SureSelect SureSel. V6+UTR T bigBed Agilent - SureSelect All Exon V6 + UTR r2 Target Regions 0 43 120 94 240 187 174 247 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/S07604624_Regions.bb\
color 120,94,240\
longLabel Agilent - SureSelect All Exon V6 + UTR r2 Target Regions\
parent exomeProbesets off\
shortLabel SureSelect SureSel. V6+UTR T\
track Agilent_Human_Exon_V6_UTRs_Regions\
type bigBed\
dhcHumDerDenAncUtr3FixedDbSnp Utr3 FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: 3' UTR 0 43 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: 3' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr3 FxS\
subGroups view=Ens subset=Utr3 freq=FixedDbSnp\
track dhcHumDerDenAncUtr3FixedDbSnp\
gtexEqtlTissueXformedfibroblasts xformedfibroblasts bed 9 + Expression QTL in Cells_Transformed_fibroblasts from GTEx V6 0 43 154 192 205 204 223 230 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 154,192,205\
idInUrlSql select gene from gtexEqtlTissueXformedfibroblasts where name='%s'\
longLabel Expression QTL in Cells_Transformed_fibroblasts from GTEx V6\
parent gtexEqtlTissue on\
shortLabel xformedfibroblasts\
track gtexEqtlTissueXformedfibroblasts\
wgEncodeGisRnaPetA549CytosolPapClusters A549 cyto pA+ bed 6 + A549 cytosol polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 44 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 cytosol polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel A549 cyto pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP\
track wgEncodeGisRnaPetA549CytosolPapClusters\
type bed 6 +\
wgEncodeUwHistoneA549H3k04me3StdRawRep2 A549 H3K4M3 Sg 2 bigWig 1.000000 2590.000000 A549 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 44 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel A549 H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t2A549 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneA549H3k04me3StdRawRep2\
type bigWig 1.000000 2590.000000\
encTfChipPkENCFF522RIA A549 SIN3A 2 narrowPeak Transcription Factor ChIP-seq Peaks of SIN3A in A549 from ENCODE 3 (ENCFF522RIA) 1 44 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SIN3A in A549 from ENCODE 3 (ENCFF522RIA)\
parent encTfChipPk off\
shortLabel A549 SIN3A 2\
subGroups cellType=A549 factor=SIN3A\
track encTfChipPkENCFF522RIA\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_ctss_rev AorticSmsToFgf2_05hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_reverse 0 44 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep3%20%28LK27%29.CNhs13575.12846-137C2.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12846-137C2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_05hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_tpm_rev AorticSmsToFgf2_05hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_reverse 1 44 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2005hr%2c%20biol_rep3%20%28LK27%29.CNhs13575.12846-137C2.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 05hr, biol_rep3 (LK27)_CNhs13575_12846-137C2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12846-137C2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_05hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF205hrBiolRep3LK27_CNhs13575_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12846-137C2\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcSerumfreeSimpleSignalRep1V2 AoSMC 1 bigBed 6 + AoSMC Serum-free media Exon array Signal Rep 1 from ENCODE/Duke 0 44 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC Serum-free media Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC 1\
subGroups cellType=t3AOSMC treatment=SERUMFREE rep=rep1\
track wgEncodeDukeAffyExonAosmcSerumfreeSimpleSignalRep1V2\
type bigBed 6 +\
pgNA19834indel ASW NA19834 indel pgSnp ASW NA19834 indel (Complete Genomics) 0 44 0 0 0 127 127 127 0 0 0 varRep 1 longLabel ASW NA19834 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel ASW NA19834 indel\
subGroups view=C_CG id=CA_div_GS19834 type=Indel\
track pgNA19834indel\
wgEncodeHaibMethylRrbsCmkUwSitesRep2 CMK 2 bed 9 + CMK Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 44 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CMK Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel CMK 2\
subGroups cellType=t3CMK obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsCmkUwSitesRep2\
type bed 9 +\
wgEncodeOpenChromFaireColonocSig Colon FAIRE DS bigWig 0.000000 0.669900 Colon FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 44 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Colon FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Colon FAIRE DS\
subGroups view=SIG cellType=t3COLONOC treatment=AANONE\
track wgEncodeOpenChromFaireColonocSig\
type bigWig 0.000000 0.669900\
wgEncodeHaibRnaSeqEcc1Dm002p4hAlnRep2 ECC-1 DMSO 2 bam ECC-1 DMSO 4 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 44 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 DMSO 4 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 DMSO 2\
subGroups view=Alignments cellType=t3ECC1 treatment=DM002P4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Dm002p4hAlnRep2\
type bam\
wgEncodeUwDgfGm06990Raw GM06990 Raw bigWig 1.000000 57178.000000 GM06990 DNaseI DGF Raw Signal from ENCODE/UW 0 44 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM06990 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel GM06990 Raw\
subGroups view=zRaw cellType=t3GM06990 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm06990Raw\
type bigWig 1.000000 57178.000000\
wgEncodeAwgTfbsSydhGm12878NfybIggmusUniPk GM12878 NFYB narrowPeak GM12878 TFBS Uniform Peaks of NF-YB from ENCODE/Harvard/Analysis 1 44 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NF-YB from ENCODE/Harvard/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NFYB\
subGroups tier=a10 cellType=a10GM12878 factor=NFYB lab=Harvard\
track wgEncodeAwgTfbsSydhGm12878NfybIggmusUniPk\
wgEncodeHaibTfbsGm12878Elf1sc631V0416101RawRep1 GM78 ELF1 V101 1 bigWig 0.215755 529.677002 GM12878 ELF1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 44 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ELF1 v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ELF1 V101 1\
subGroups view=RawSignal factor=ELF1SC631 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Elf1sc631V0416101RawRep1\
type bigWig 0.215755 529.677002\
wgEncodeSydhTfbsGm12878Nfe2sc22827StdSig GM78 NFE2 Std bigWig 1.000000 4981.000000 GM12878 NF-E2 SC22827 Standard ChIP-seq Signal from ENCODE/SYDH 2 44 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NF-E2 SC22827 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 NFE2 Std\
subGroups view=Signal factor=NFE2SC22827 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Nfe2sc22827StdSig\
type bigWig 1.000000 4981.000000\
wgEncodeCshlLongRnaSeqGm12878NucleusPamJunctions GM78 nuc pA- J bed 6 + GM12878 nucleus polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 44 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 nuc pA- J\
subGroups view=Junctions cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878NucleusPamJunctions\
type bed 6 +\
wgEncodeBroadHistoneH1hescH3k9acStdPk H1-hESC H3K9ac broadPeak H1-hESC H3K9ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 44 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K9ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H3K9ac\
subGroups view=Peaks factor=H3K09AC cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k9acStdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPamMinusSignal H1ES cell pA- - 1 bigWig 0.040000 10790.110352 H1-hESC whole cell polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 44 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel H1ES cell pA- - 1\
subGroups view=MinusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageH1hescCellPamMinusSignal\
type bigWig 0.040000 10790.110352\
wgEncodeUwAffyExonArrayH7esSimpleSignalRep2 H7-hESC 2 broadPeak H7-hESC Exon array Signal Rep 2 from ENCODE/UW 0 44 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 2\
subGroups cellType=t3H7HESC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayH7esSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHcfUniPk HCF DNase narrowPeak HCF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 44 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HCF DNase\
subGroups tier=a30 cellType=HCF\
track wgEncodeAwgDnaseUwHcfUniPk\
wgEncodeOpenChromChipHelas3Pol2Sig HeLa-S3 Pol2 DS bigWig 0.000000 4.858800 HeLa-S3 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 44 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HeLa-S3 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3Pol2Sig\
type bigWig 0.000000 4.858800\
wgEncodeHaibGenotypeHrceRegionsRep1 HRCEpiC 1 bed 9 + HRCEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 44 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRCEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRCEpiC 1\
subGroups cellType=t3HRCEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHrceRegionsRep1\
type bed 9 +\
wgEncodeUwTfbsHuvecInputStdRawRep1 HUVEC In Sg 1 bigWig 1.000000 8683.000000 HUVEC Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 44 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel HUVEC In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2HUVEC rep=rep1 treatment=aNone\
track wgEncodeUwTfbsHuvecInputStdRawRep1\
type bigWig 1.000000 8683.000000\
wgEncodeUwDnaseHuvecPkRep2 HUVEC Pk 2 narrowPeak HUVEC DNaseI HS Peaks Rep 2 from ENCODE/UW 1 44 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel HUVEC Pk 2\
subGroups view=Peaks cellType=t2HUVEC rep=rep2 treatment=None\
track wgEncodeUwDnaseHuvecPkRep2\
type narrowPeak\
wgEncodeUwRepliSeqHuvecS3PctSignalRep1 HUVEC S3 1 bigWig 1.000000 100.000000 HUVEC S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 44 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC S3 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqHuvecS3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseImr90Sig IMR90 DS bigWig 0.000000 1.676300 IMR90 DNaseI HS Density Signal from ENCODE/Duke 2 44 0 0 0 127 127 127 1 0 0 regulation 0 longLabel IMR90 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel IMR90 DS\
subGroups view=SIG cellType=t2IMR90 treatment=zNONE\
track wgEncodeOpenChromDnaseImr90Sig\
type bigWig 0.000000 1.676300\
wgEncodeCaltechRnaSeqK562R2x75Th1014Il200SigRep2V4 K562 2x75 Sg 2 bigWig 0.021200 203032.093750 K562 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 44 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal\
shortLabel K562 2x75 Sg 2\
subGroups view=Signal cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Th1014Il200SigRep2V4\
type bigWig 0.021200 203032.093750\
wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapMinusRawRep4 K562 chrm TAP - 2 bigWig 1.000000 671800.000000 K562 TAP-only chromatin small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 44 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only chromatin small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 chrm TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=CHROMATIN protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapMinusRawRep4\
type bigWig 1.000000 671800.000000\
wgEncodeHaibMethyl450LncapSitesRep1 LNCaP bed 9 LNCaP Methylation 450K Bead Array from ENCODE/HAIB 1 44 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LNCaP Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel LNCaP\
subGroups cellType=t3LNCAP obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450LncapSitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k4me1UcdPk PBMC H3K4me1 narrowPeak PBMC H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 44 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PBMC H3K4me1 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PBMC H3K4me1\
subGroups view=Peaks factor=H3K04ME1 cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k4me1UcdPk\
type narrowPeak\
truseq-dna-exome-targeted-manifest-v1-2 TruSeq DNA V1.2 T bigBed 4 Illumina - TruSeq DNA Exome V1.2 Target Regions 0 44 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/truseq-dna-exome-targeted-regions-manifest-v1-2.bb\
color 22,62,164\
longLabel Illumina - TruSeq DNA Exome V1.2 Target Regions\
parent exomeProbesets off\
shortLabel TruSeq DNA V1.2 T\
track truseq-dna-exome-targeted-manifest-v1-2\
type bigBed 4\
dhcHumDerDenAncUtr3HighFreq Utr3 HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: 3' UTR 0 44 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: 3' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr3 HiF\
subGroups view=Ens subset=Utr3 freq=HighFreq\
track dhcHumDerDenAncUtr3HighFreq\
gtexEqtlTissueXformedlymphocytes xformedlymphocytes bed 9 + Expression QTL in Cells_EBV-transformed_lymphocytes from GTEx V6 0 44 238 130 238 246 192 246 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$ regulation 1 color 238,130,238\
idInUrlSql select gene from gtexEqtlTissueXformedlymphocytes where name='%s'\
longLabel Expression QTL in Cells_EBV-transformed_lymphocytes from GTEx V6\
parent gtexEqtlTissue on\
shortLabel xformedlymphocytes\
track gtexEqtlTissueXformedlymphocytes\
wgEncodeGisRnaPetA549CytosolPapMinusRawRep3 A549 cyto pA+ - 3 bigWig 1.000000 3243320.000000 A549 cytosol polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS 2 45 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 cyto pA+ - 3\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CytosolPapMinusRawRep3\
type bigWig 1.000000 3243320.000000\
wgEncodeUwHistoneA549InputStdRawRep1 A549 In Sg 1 bigWig 1.000000 12152.000000 A549 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 45 0 0 0 127 127 127 0 0 0 regulation 0 longLabel A549 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel A549 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2A549 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneA549InputStdRawRep1\
type bigWig 1.000000 12152.000000\
encTfChipPkENCFF165AUR A549 SIX5 narrowPeak Transcription Factor ChIP-seq Peaks of SIX5 in A549 from ENCODE 3 (ENCFF165AUR) 1 45 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SIX5 in A549 from ENCODE 3 (ENCFF165AUR)\
parent encTfChipPk off\
shortLabel A549 SIX5\
subGroups cellType=A549 factor=SIX5\
track encTfChipPkENCFF165AUR\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_ctss_fwd AorticSmsToFgf2_06hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_forward 0 45 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep1%20%28LK28%29.CNhs13348.12651-134H5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12651-134H5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_tpm_fwd AorticSmsToFgf2_06hrBr1+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_forward 1 45 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep1%20%28LK28%29.CNhs13348.12651-134H5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12651-134H5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcSerumfreeSimpleSignalRep2V2 AoSMC 2 bigBed 6 + AoSMC Serum-free media Exon array Signal Rep 2 from ENCODE/Duke 0 45 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC Serum-free media Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC 2\
subGroups cellType=t3AOSMC treatment=SERUMFREE rep=rep2\
track wgEncodeDukeAffyExonAosmcSerumfreeSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeOpenChromFaireColonocBaseOverlapSignal Colon FAIRE OS bigWig 0.000000 2410.000000 Colon FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 45 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Colon FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Colon FAIRE OS\
subGroups view=SIGBO cellType=t3COLONOC treatment=AANONE\
track wgEncodeOpenChromFaireColonocBaseOverlapSignal\
type bigWig 0.000000 2410.000000\
wgEncodeHaibMethylRrbsEcc1HaibSitesRep1 ECC-1 1 bed 9 + ECC-1 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 45 0 0 0 127 127 127 0 0 0 regulation 1 longLabel ECC-1 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel ECC-1 1\
subGroups cellType=t3ECC1 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsEcc1HaibSitesRep1\
type bed 9 +\
wgEncodeHaibRnaSeqEcc1Estradia4hRawRep1 ECC-1 EST 1 bigWig 0.267722 963.263977 ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 45 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 EST 1\
subGroups view=RawSignal cellType=t3ECC1 treatment=EST10NM4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Estradia4hRawRep1\
type bigWig 0.267722 963.263977\
wgEncodeUwDgfGm12865Hotspots GM12865 Hot broadPeak GM12865 DNaseI DGF Hotspots from ENCODE/UW 0 45 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12865 DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel GM12865 Hot\
subGroups view=Hotspots cellType=t3GM12865 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm12865Hotspots\
type broadPeak\
wgEncodeAwgTfbsSydhGm12878Tr4UniPk GM12878 NR2C2 narrowPeak GM12878 TFBS Uniform Peaks of TR4 from ENCODE/USC/Analysis 1 45 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TR4 from ENCODE/USC/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NR2C2\
subGroups tier=a10 cellType=a10GM12878 factor=NR2C2 lab=USC\
track wgEncodeAwgTfbsSydhGm12878Tr4UniPk\
wgEncodeHaibTfbsGm12878Elf1sc631V0416101PkRep2 GM78 ELF1 V101 2 broadPeak GM12878 ELF1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 45 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ELF1 v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ELF1 V101 2\
subGroups view=Peaks factor=ELF1SC631 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Elf1sc631V0416101PkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaMinusRawSigRep1 GM78 nuc pA- - 1 bigWig 1.000000 4320234.000000 GM12878 nucleus polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 45 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nuc pA- - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaMinusRawSigRep1\
type bigWig 1.000000 4320234.000000\
wgEncodeSydhTfbsGm12878NfkbTnfaIggrabPk GM78 TNF NKB IgR narrowPeak GM12878 NFKB IgG-rab TNFa ChIP-seq Peaks from ENCODE/SYDH 3 45 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NFKB IgG-rab TNFa ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 TNF NKB IgR\
subGroups view=Peaks factor=NFKB cellType=t1GM12878 control=IGGRAB treatment=TNFa\
track wgEncodeSydhTfbsGm12878NfkbTnfaIggrabPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH3k9acStdSig H1-hESC H3K9ac bigWig 0.040000 17840.919922 H1-hESC H3K9ac Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 45 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K9ac Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H3K9ac\
subGroups view=Signal factor=H3K09AC cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k9acStdSig\
type bigWig 0.040000 17840.919922\
wgEncodeRikenCageH1hescCellPamAln H1ES cell pA- A 1 bam H1-hESC whole cell polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 45 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel H1ES cell pA- A 1\
subGroups view=Alignments cellType=t1H1HESC localization=wcell rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageH1hescCellPamAln\
type bam\
wgEncodeUwAffyExonArrayH7esDiffa2dSimpleSignalRep2 H7-hESC 2d 2 broadPeak H7-hESC differentiated 2 d Exon Array Signal Rep 2 from ENCODE/UW 0 45 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 2 d Exon Array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 2d 2\
subGroups cellType=t3H7HESC treatment=DIFFA2D rep=rep2\
track wgEncodeUwAffyExonArrayH7esDiffa2dSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHcfaaUniPk HCFaa DNase narrowPeak HCFaa DNaseI HS Uniform Peaks from ENCODE/Analysis 1 45 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCFaa DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HCFaa DNase\
subGroups tier=a30 cellType=HCFaa\
track wgEncodeAwgDnaseUwHcfaaUniPk\
wgEncodeOpenChromChipHelas3Pol2BaseOverlapSignal HeLa-S3 Pol2 OS bigWig 0.000000 2084.000000 HeLa-S3 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 45 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HeLa-S3 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3Pol2BaseOverlapSignal\
type bigWig 0.000000 2084.000000\
wgEncodeHaibGenotypeHrceRegionsRep2 HRCEpiC 2 bed 9 + HRCEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 45 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRCEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRCEpiC 2\
subGroups cellType=t3HRCEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHrceRegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqHuvecS4PctSignalRep1 HUVEC S4 1 bigWig 1.000000 100.000000 HUVEC S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 45 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC S4 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqHuvecS4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseHuvecRawRep2 HUVEC Sg 2 bigWig 1.000000 33364.000000 HUVEC DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 45 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel HUVEC Sg 2\
subGroups view=zRSig cellType=t2HUVEC rep=rep2 treatment=None\
track wgEncodeUwDnaseHuvecRawRep2\
type bigWig 1.000000 33364.000000\
wgEncodeOpenChromDnaseImr90BaseOverlapSignal IMR90 OS bigWig 0.000000 220.000000 IMR90 DNaseI HS Overlap Signal from ENCODE/Duke 2 45 0 0 0 127 127 127 1 0 0 regulation 0 longLabel IMR90 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel IMR90 OS\
subGroups view=SIGBO cellType=t2IMR90 treatment=zNONE\
track wgEncodeOpenChromDnaseImr90BaseOverlapSignal\
type bigWig 0.000000 220.000000\
wgEncodeCaltechRnaSeqK562R2x75Il200SplicesRep1V2 K562 2x75 Sp 1 bam K562 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 45 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel K562 2x75 Sp 1\
subGroups view=Splices cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Il200SplicesRep1V2\
type bam\
wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapPlusRawRep3 K562 chrm TAP + 1 bigWig 1.000000 1791016.000000 K562 TAP-only chromatin small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 45 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only chromatin small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 chrm TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=CHROMATIN protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapPlusRawRep3\
type bigWig 1.000000 1791016.000000\
wgEncodeHaibMethyl450Mcf10aesTamSitesRep1 MCF10A TAM bed 9 MCF10A TAM Methylation 450K Bead Array from ENCODE/HAIB 1 45 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF10A TAM Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel MCF10A TAM\
subGroups cellType=t3MCF10AERSRC obtainedBy=Stanford treatment=TAM\
track wgEncodeHaibMethyl450Mcf10aesTamSitesRep1\
type bed 9\
wgEncodeUwTfbsMcf7CtcfStdHotspotsRep1 MCF7 CTCF Ht 1 broadPeak MCF-7 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 45 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel MCF7 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t2MCF7 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeSydhHistonePbmcH3k4me1UcdSig PBMC H3K4me1 bigWig 1.000000 16645.000000 PBMC H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 45 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PBMC H3K4me1 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PBMC H3K4me1\
subGroups view=Signal factor=H3K04ME1 cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k4me1UcdSig\
type bigWig 1.000000 16645.000000\
pgHG00732 PUR mother '732 pgSnp PUR Trio Mother HG00732 (Complete Genomics) 0 45 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel PUR Trio Mother HG00732 (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR mother '732\
subGroups view=C_CG id=CB_PUR_732 type=SNP\
track pgHG00732\
truseq-rapid-exome-targeted-regions-manifest-v1-2 TruSeq Rapid v1.2 T bigBed 4 Illumina - TruSeq Rapid Exome V1.2 Target Regions Regions 0 45 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/truseq-rapid-exome-targeted-regions-manifest-v1-2.bb\
color 22,62,164\
longLabel Illumina - TruSeq Rapid Exome V1.2 Target Regions Regions\
parent exomeProbesets off\
shortLabel TruSeq Rapid v1.2 T\
track truseq-rapid-exome-targeted-regions-manifest-v1-2\
type bigBed 4\
dhcHumDerDenAncUtr5Fixed Utr5 Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: 5' UTR 0 45 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: 5' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr5 Fxd\
subGroups view=Ens subset=Utr5 freq=Fixed\
track dhcHumDerDenAncUtr5Fixed\
wgEncodeUwHistoneCd20ro01778H3k04me3StdHotspotsRep1 20+78 H3K4M3 Ht 1 broadPeak CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel 20+78 H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep1\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaPetA549CytosolPapMinusRawRep4 A549 cyto pA+ - 4 bigWig 1.000000 4638480.000000 A549 cytosol polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS 2 46 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 cyto pA+ - 4\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CytosolPapMinusRawRep4\
type bigWig 1.000000 4638480.000000\
encTfChipPkENCFF125YHG A549 SMC3 narrowPeak Transcription Factor ChIP-seq Peaks of SMC3 in A549 from ENCODE 3 (ENCFF125YHG) 1 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SMC3 in A549 from ENCODE 3 (ENCFF125YHG)\
parent encTfChipPk off\
shortLabel A549 SMC3\
subGroups cellType=A549 factor=SMC3\
track encTfChipPkENCFF125YHG\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_ctss_rev AorticSmsToFgf2_06hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_reverse 0 46 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep1%20%28LK28%29.CNhs13348.12651-134H5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12651-134H5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_tpm_rev AorticSmsToFgf2_06hrBr1- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_reverse 1 46 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep1%20%28LK28%29.CNhs13348.12651-134H5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep1 (LK28)_CNhs13348_12651-134H5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12651-134H5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep1LK28_CNhs13348_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12651-134H5\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcTgfbSimpleSignalRep1V2 AoSMC TGFb 1 bigBed 6 + AoSMC TGFb Exon array Signal Rep 1 from ENCODE/Duke 0 46 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC TGFb Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC TGFb 1\
subGroups cellType=t3AOSMC treatment=TGFB rep=rep1\
track wgEncodeDukeAffyExonAosmcTgfbSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsEcc1HaibSitesRep2 ECC-1 2 bed 9 + ECC-1 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel ECC-1 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel ECC-1 2\
subGroups cellType=t3ECC1 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsEcc1HaibSitesRep2\
type bed 9 +\
wgEncodeHaibRnaSeqEcc1Estradia4hAlnRep1 ECC-1 EST 1 bam ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 46 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 EST 1\
subGroups view=Alignments cellType=t3ECC1 treatment=EST10NM4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Estradia4hAlnRep1\
type bam\
wgEncodeOpenChromFaireEndometriumocPk Endometr FAIRE Pk narrowPeak Endometrium FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 46 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Endometrium FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Endometr FAIRE Pk\
subGroups view=Peaks cellType=t3ENDOMETRIUMOC treatment=AANONE\
track wgEncodeOpenChromFaireEndometriumocPk\
type narrowPeak\
wgEncodeUwDgfGm12865Pk GM12865 Pk narrowPeak GM12865 DNaseI DGF Peaks from ENCODE/UW 0 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12865 DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel GM12865 Pk\
subGroups view=Peaks cellType=t3GM12865 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm12865Pk\
type narrowPeak\
wgEncodeAwgTfbsSydhGm12878Nrf1IggmusUniPk GM12878 NRF1 narrowPeak GM12878 TFBS Uniform Peaks of Nrf1 from ENCODE/Stanford/Analysis 1 46 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Nrf1 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 NRF1\
subGroups tier=a10 cellType=a10GM12878 factor=NRF1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Nrf1IggmusUniPk\
wgEncodeHaibTfbsGm12878Elf1sc631V0416101RawRep2 GM78 ELF1 V101 2 bigWig 0.203518 90.158600 GM12878 ELF1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 46 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ELF1 v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ELF1 V101 2\
subGroups view=RawSignal factor=ELF1SC631 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Elf1sc631V0416101RawRep2\
type bigWig 0.203518 90.158600\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaMinusRawSigRep2 GM78 nuc pA- - 2 bigWig 1.000000 1823306.000000 GM12878 nucleus polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 46 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nuc pA- - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 1823306.000000\
wgEncodeSydhTfbsGm12878NfkbTnfaIggrabSig GM78 TNF NKB IgR bigWig 0.000000 6696.200195 GM12878 NFKB IgG-rab TNFa ChIP-seq Signal from ENCODE/SYDH 2 46 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NFKB IgG-rab TNFa ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 TNF NKB IgR\
subGroups view=Signal factor=NFKB cellType=t1GM12878 control=IGGRAB treatment=TNFa\
track wgEncodeSydhTfbsGm12878NfkbTnfaIggrabSig\
type bigWig 0.000000 6696.200195\
wgEncodeBroadHistoneH1hescH3k09me3StdPk H1-hESC H3K9m3 broadPeak H1-hESC H3K9me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 46 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K9me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H3K9m3\
subGroups view=Peaks factor=H3K09ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k09me3StdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPapTssHmm H1ES cell pA+ bed 6 H1-hESC whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 46 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel H1ES cell pA+\
subGroups view=TssHmm cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageH1hescCellPapTssHmm\
type bed 6\
wgEncodeUwAffyExonArrayH7esDiffa5dSimpleSignalRep2 H7-hESC 5d 2 broadPeak H7-hESC differentiated 5 d Exon Array Signal Rep 2 from ENCODE/UW 0 46 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 5 d Exon Array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 5d 2\
subGroups cellType=t3H7HESC treatment=DIFFA5D rep=rep2\
track wgEncodeUwAffyExonArrayH7esDiffa5dSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHcmUniPk HCM DNase narrowPeak HCM DNaseI HS Uniform Peaks from ENCODE/Analysis 1 46 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCM DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HCM DNase\
subGroups tier=a30 cellType=HCM\
track wgEncodeAwgDnaseUwHcmUniPk\
wgEncodeOpenChromChipHelas3InputSig HeLa-S3 Input DS bigWig 0.000000 3.396000 HeLa-S3 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 46 0 119 158 127 187 206 1 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HeLa-S3 Input DS\
subGroups treatment=AANONE view=SIG factor=zCTRL cellType=t2HELAS3\
track wgEncodeOpenChromChipHelas3InputSig\
type bigWig 0.000000 3.396000\
wgEncodeHaibGenotypeHreRegionsRep1 HRE 1 bed 9 + HRE Copy number variants Replicate 1 from ENCODE/HAIB 0 46 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRE Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRE 1\
subGroups cellType=t3HRE obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHreRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqHuvecG2PctSignalRep1 HUVEC G2 1 bigWig 1.000000 100.000000 HUVEC G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 46 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal\
shortLabel HUVEC G2 1\
subGroups view=v1PctSignal cellType=t2HUVEC phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqHuvecG2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeCaltechRnaSeqK562R2x75Il200SplicesRep2V2 K562 2x75 Sp 2 bam K562 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 46 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel K562 2x75 Sp 2\
subGroups view=Splices cellType=t1K562 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R2x75Il200SplicesRep2V2\
type bam\
wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapPlusRawRep4 K562 chrm TAP + 2 bigWig 1.000000 2708620.000000 K562 TAP-only chromatin small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 46 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only chromatin small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 chrm TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=CHROMATIN protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562ChromatinShorttotalTapPlusRawRep4\
type bigWig 1.000000 2708620.000000\
wgEncodeUwDnaseLhcnm2Diff4dHotspotsRep1 LHCNM2 dif4d Ht 1 broadPeak LHCN-M2 DIFF 4 d DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI HS HotSpots Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel LHCNM2 dif4d Ht 1\
subGroups view=Hot cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDnaseLhcnm2Diff4dHotspotsRep1\
type broadPeak\
wgEncodeHaibMethyl450Mcf10aesSitesRep1 MCF10A bed 9 MCF10A Methylation 450K Bead Array from ENCODE/HAIB 1 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF10A Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel MCF10A\
subGroups cellType=t3MCF10AERSRC obtainedBy=Stanford treatment=zNONE\
track wgEncodeHaibMethyl450Mcf10aesSitesRep1\
type bed 9\
wgEncodeUwTfbsMcf7CtcfStdPkRep1 MCF7 CTCF Pk 1 narrowPeak MCF-7 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel MCF7 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t2MCF7 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdPkRep1\
type narrowPeak\
wgEncodeOpenChromDnaseMcf7CtcfshrnaPk MCF7 CTCFshRNA Pk narrowPeak MCF-7 CTCF shRNA knockdown DNaseI HS Peaks from ENCODE/Duke 3 46 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 CTCF shRNA knockdown DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel MCF7 CTCFshRNA Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=CTCFSHRNA\
track wgEncodeOpenChromDnaseMcf7CtcfshrnaPk\
type narrowPeak\
wgEncodeSydhHistonePbmcH3k04me3bUcdPk PBMC H3K4me3 narrowPeak PBMC H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 46 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PBMC H3K4me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PBMC H3K4me3\
subGroups view=Peaks factor=H3K04ME3B cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k04me3bUcdPk\
type narrowPeak\
pgHG00732indel PUR HG00732 indel pgSnp PUR HG00732 (Mother) indel (Complete Genomics) 0 46 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PUR HG00732 (Mother) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR HG00732 indel\
subGroups view=C_CG id=CB_PUR_732 type=Indel\
track pgHG00732indel\
TSOne_Expanded_BED_v2 TruSight One Exp. V2.0 T bigBed 4 Illumina - TruSight ONE Expanded V2.0 Target Regions 0 46 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TSOne_Expanded_BED_v2.0.bb\
color 22,62,164\
longLabel Illumina - TruSight ONE Expanded V2.0 Target Regions\
parent exomeProbesets on\
shortLabel TruSight One Exp. V2.0 T\
track TSOne_Expanded_BED_v2\
type bigBed 4\
dhcHumDerDenAncUtr5FixedDbSnp Utr5 FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: 5' UTR 0 46 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: 5' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr5 FxS\
subGroups view=Ens subset=Utr5 freq=FixedDbSnp\
track dhcHumDerDenAncUtr5FixedDbSnp\
wgEncodeUwHistoneCd20ro01778H3k04me3StdPkRep1 20+78 H3K4M3 Pk 1 narrowPeak CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 47 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel 20+78 H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep1\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdPkRep1\
type narrowPeak\
wgEncodeGisRnaPetA549CytosolPapPlusRawRep3 A549 cyto pA+ + 3 bigWig 1.000000 2786330.000000 A549 cytosol polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS 2 47 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 cyto pA+ + 3\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CytosolPapPlusRawRep3\
type bigWig 1.000000 2786330.000000\
encTfChipPkENCFF348RKC A549 SP1 narrowPeak Transcription Factor ChIP-seq Peaks of SP1 in A549 from ENCODE 3 (ENCFF348RKC) 1 47 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SP1 in A549 from ENCODE 3 (ENCFF348RKC)\
parent encTfChipPk off\
shortLabel A549 SP1\
subGroups cellType=A549 factor=SP1\
track encTfChipPkENCFF348RKC\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_ctss_fwd AorticSmsToFgf2_06hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_forward 0 47 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep2%20%28LK29%29.CNhs13368.12749-136A4.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12749-136A4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_tpm_fwd AorticSmsToFgf2_06hrBr2+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_forward 1 47 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep2%20%28LK29%29.CNhs13368.12749-136A4.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12749-136A4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcTgfbSimpleSignalRep2V2 AoSMC TGFb 2 bigBed 6 + AoSMC TGFb Exon array Signal Rep 2 from ENCODE/Duke 0 47 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC TGFb Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC TGFb 2\
subGroups cellType=t3AOSMC treatment=TGFB rep=rep2\
track wgEncodeDukeAffyExonAosmcTgfbSimpleSignalRep2V2\
type bigBed 6 +\
pgNA06985 CEU NA06985 pgSnp CEU NA06985 (Complete Genomics) 0 47 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA06985 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA06985\
subGroups view=C_CG id=CB_div_GS06985 type=SNP\
track pgNA06985\
wgEncodeHaibRnaSeqEcc1Estradia4hRawRep2 ECC-1 EST 2 bigWig 0.208881 751.294006 ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 47 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 EST 2\
subGroups view=RawSignal cellType=t3ECC1 treatment=EST10NM4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Estradia4hRawRep2\
type bigWig 0.208881 751.294006\
wgEncodeOpenChromFaireEndometriumocSig Endometr FAIRE DS bigWig 0.000000 0.350500 Endometrium FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 47 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Endometrium FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Endometr FAIRE DS\
subGroups view=SIG cellType=t3ENDOMETRIUMOC treatment=AANONE\
track wgEncodeOpenChromFaireEndometriumocSig\
type bigWig 0.000000 0.350500\
wgEncodeHaibMethylRrbsFibroblDukeSitesRep1 Fibrobl 1 bed 9 + Fibrobl Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 47 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Fibrobl Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Fibrobl 1\
subGroups cellType=t3FIBROBL obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsFibroblDukeSitesRep1\
type bed 9 +\
wgEncodeUwDgfGm12865Sig GM12865 Sig bigWig 1.000000 20476.000000 GM12865 DNaseI DGF Per-base Signal from ENCODE/UW 2 47 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM12865 DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel GM12865 Sig\
subGroups view=Signal cellType=t3GM12865 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm12865Sig\
type bigWig 1.000000 20476.000000\
wgEncodeAwgTfbsHaibGm12878Pax5c20Pcr1xUniPk GM12878 PAX5 h narrowPeak GM12878 TFBS Uniform Peaks of PAX5-C20 from ENCODE/HudsonAlpha/Analysis 1 47 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of PAX5-C20 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 PAX5 h\
subGroups tier=a10 cellType=a10GM12878 factor=PAX5 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pax5c20Pcr1xUniPk\
wgEncodeHaibTfbsGm12878Ets1Pcr1xPkRep1V2 GM78 ETS1 PCR1 1 broadPeak GM12878 ETS1 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 47 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ETS1 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ETS1 PCR1 1\
subGroups view=Peaks factor=ETS1 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Ets1Pcr1xPkRep1V2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaPlusRawSigRep1 GM78 nuc pA- + 1 bigWig 1.000000 1853238.000000 GM12878 nucleus polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 47 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nuc pA- + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaPlusRawSigRep1\
type bigWig 1.000000 1853238.000000\
wgEncodeSydhTfbsGm12878NfyaIggmusPk GM78 NYA IgM narrowPeak GM12878 NF-YA IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 47 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NF-YA IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 NYA IgM\
subGroups view=Peaks factor=NFYA cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878NfyaIggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH3k09me3StdSig H1-hESC H3K9m3 bigWig 0.040000 79621.703125 H1-hESC H3K9me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 47 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K9me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H3K9m3\
subGroups view=Signal factor=H3K09ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k09me3StdSig\
type bigWig 0.040000 79621.703125\
wgEncodeRikenCageH1hescCellPapPlusSignalRep1 H1ES cell pA+ + 1 bigWig 0.040000 7334.810059 H1-hESC whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 47 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel H1ES cell pA+ + 1\
subGroups view=PlusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageH1hescCellPapPlusSignalRep1\
type bigWig 0.040000 7334.810059\
wgEncodeUwAffyExonArrayH7esDiffa9dSimpleSignalRep2 H7-hESC 9d 2 broadPeak H7-hESC differentiated 9 d Exon Array Signal Rep 2 from ENCODE/UW 0 47 0 0 0 127 127 127 0 0 0 expression 1 longLabel H7-hESC differentiated 9 d Exon Array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel H7-hESC 9d 2\
subGroups cellType=t3H7HESC treatment=DIFFA9D rep=rep2\
track wgEncodeUwAffyExonArrayH7esDiffa9dSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHcpepicUniPk HCPEpiC DNase narrowPeak HCPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 47 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HCPEpiC DNase\
subGroups tier=a30 cellType=HCPEpiC\
track wgEncodeAwgDnaseUwHcpepicUniPk\
wgEncodeOpenChromChipHepg2CmycPk HepG2 cMyc Pk narrowPeak HepG2 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 47 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HepG2 cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CmycPk\
type narrowPeak\
wgEncodeHaibGenotypeHreRegionsRep2 HRE 2 bed 9 + HRE Copy number variants Replicate 2 from ENCODE/HAIB 0 47 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRE Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRE 2\
subGroups cellType=t3HRE obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHreRegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqHuvecPkRep1 HUVEC Pk 1 bed 9 HUVEC Repli-seq Peaks Rep 1 from ENCODE/UW 0 47 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel HUVEC Pk 1\
subGroups view=v2Peaks cellType=t2HUVEC phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHuvecPkRep1\
type bed 9\
wgEncodeCaltechRnaSeqK562R1x75dAlignsRep1V2 K562 1x75D A 1 bam K562 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 47 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel K562 1x75D A 1\
subGroups view=Aligns cellType=t1K562 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dAlignsRep1V2\
type bam\
wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapContigs K562 cyto TAP C bed 6 K562 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL 2 47 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel K562 cyto TAP C\
subGroups view=Contigs cellType=t1K562 localization=CYTOSOL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapContigs\
type bed 6\
wgEncodeUwDnaseLhcnm2HotspotsRep1 LHCNM2 Ht 1 broadPeak LHCN-M2 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 47 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel LHCNM2 Ht 1\
subGroups view=Hot cellType=t2LHCNM2 treatment=None rep=rep1\
track wgEncodeUwDnaseLhcnm2HotspotsRep1\
type broadPeak\
wgEncodeUwTfbsMcf7CtcfStdRawRep1 MCF7 CTCF Sg 1 bigWig 1.000000 15641.000000 MCF-7 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 47 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel MCF7 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t2MCF7 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdRawRep1\
type bigWig 1.000000 15641.000000\
wgEncodeOpenChromDnaseMcf7CtcfshrnaSig MCF7 CTCFshRNA DS bigWig 0.000000 0.653100 MCF-7 CTCF shRNA knockdown DNaseI HS Density Signal from ENCODE/Duke 2 47 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 CTCF shRNA knockdown DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel MCF7 CTCFshRNA DS\
subGroups view=SIG cellType=t2MCF7 treatment=CTCFSHRNA\
track wgEncodeOpenChromDnaseMcf7CtcfshrnaSig\
type bigWig 0.000000 0.653100\
wgEncodeHaibMethyl450Nb4SitesRep1 NB4 bed 9 NB4 Methylation 450K Bead Array from ENCODE/HAIB 1 47 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NB4 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel NB4\
subGroups cellType=t3NB4 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Nb4SitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k04me3bUcdSig PBMC H3K4me3 bigWig 1.000000 37387.000000 PBMC H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 47 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PBMC H3K4me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PBMC H3K4me3\
subGroups view=Signal factor=H3K04ME3B cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k04me3bUcdSig\
type bigWig 1.000000 37387.000000\
TruSight_One_v1 TruSight One V1.1 T bigBed 4 Illumina - TruSight ONE V1.1 Target Regions 0 47 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TruSight_One_v1.1.bb\
color 22,62,164\
longLabel Illumina - TruSight ONE V1.1 Target Regions\
parent exomeProbesets off\
shortLabel TruSight One V1.1 T\
track TruSight_One_v1\
type bigBed 4\
dhcHumDerDenAncUtr5HighFreq Utr5 HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: 5' UTR 0 47 0 0 200 127 127 227 0 0 0 denisova 1 color 0,0,200\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: 5' UTR\
parent dhcHumDerDenAncEns\
shortLabel Utr5 HiF\
subGroups view=Ens subset=Utr5 freq=HighFreq\
track dhcHumDerDenAncUtr5HighFreq\
wgEncodeUwHistoneCd20ro01778H3k04me3StdRawRep1 20+78 H3K4M3 Sg 1 bigWig 1.000000 3961.000000 CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 48 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel 20+78 H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep1\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdRawRep1\
type bigWig 1.000000 3961.000000\
wgEncodeGisRnaPetA549CytosolPapPlusRawRep4 A549 cyto pA+ + 4 bigWig 1.000000 3905260.000000 A549 cytosol polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS 2 48 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 cyto pA+ + 4\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CytosolPapPlusRawRep4\
type bigWig 1.000000 3905260.000000\
encTfChipPkENCFF315VQM A549 SREBF1 narrowPeak Transcription Factor ChIP-seq Peaks of SREBF1 in A549 from ENCODE 3 (ENCFF315VQM) 1 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SREBF1 in A549 from ENCODE 3 (ENCFF315VQM)\
parent encTfChipPk off\
shortLabel A549 SREBF1\
subGroups cellType=A549 factor=SREBF1\
track encTfChipPkENCFF315VQM\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_ctss_rev AorticSmsToFgf2_06hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_reverse 0 48 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep2%20%28LK29%29.CNhs13368.12749-136A4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12749-136A4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_tpm_rev AorticSmsToFgf2_06hrBr2- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_reverse 1 48 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep2%20%28LK29%29.CNhs13368.12749-136A4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep2 (LK29)_CNhs13368_12749-136A4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12749-136A4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep2LK29_CNhs13368_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12749-136A4\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcSimpleSignalRep1V2 AoSMC 1 bigBed 6 + AoSMC Exon array Signal Rep 1 from ENCODE/Duke 0 48 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC 1\
subGroups cellType=t3AOSMC treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonAosmcSimpleSignalRep1V2\
type bigBed 6 +\
pgNA06985indel CEU NA06985 indel pgSnp CEU NA06985 indel (Complete Genomics) 0 48 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA06985 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA06985 indel\
subGroups view=C_CG id=CB_div_GS06985 type=Indel\
track pgNA06985indel\
wgEncodeHaibRnaSeqEcc1Estradia4hAlnRep2 ECC-1 EST 2 bam ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 48 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 EST 2\
subGroups view=Alignments cellType=t3ECC1 treatment=EST10NM4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Estradia4hAlnRep2\
type bam\
wgEncodeOpenChromFaireEndometriumocBaseOverlapSignal Endometr FAIRE OS bigWig 0.000000 2355.000000 Endometrium FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 48 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Endometrium FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Endometr FAIRE OS\
subGroups view=SIGBO cellType=t3ENDOMETRIUMOC treatment=AANONE\
track wgEncodeOpenChromFaireEndometriumocBaseOverlapSignal\
type bigWig 0.000000 2355.000000\
wgEncodeHaibMethylRrbsFibroblDukeSitesRep2 Fibrobl 2 bed 9 + Fibrobl Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Fibrobl Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Fibrobl 2\
subGroups cellType=t3FIBROBL obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsFibroblDukeSitesRep2\
type bed 9 +\
wgEncodeUwDgfGm12865Raw GM12865 Raw bigWig 1.000000 134427.000000 GM12865 DNaseI DGF Raw Signal from ENCODE/UW 0 48 0 0 0 127 127 127 0 0 0 regulation 0 longLabel GM12865 DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel GM12865 Raw\
subGroups view=zRaw cellType=t3GM12865 treatment=aNONE rep=rep1\
track wgEncodeUwDgfGm12865Raw\
type bigWig 1.000000 134427.000000\
wgEncodeAwgTfbsHaibGm12878Pax5n19Pcr1xUniPk GM12878 PAX5 h2 narrowPeak GM12878 TFBS Uniform Peaks of PAX5-N19 from ENCODE/HudsonAlpha/Analysis 1 48 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of PAX5-N19 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 PAX5 h2\
subGroups tier=a10 cellType=a10GM12878 factor=PAX5 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pax5n19Pcr1xUniPk\
wgEncodeHaibTfbsGm12878Ets1Pcr1xRawRep1 GM78 ETS1 PCR1 1 bigWig 0.221942 138.214005 GM12878 ETS1 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 48 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ETS1 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ETS1 PCR1 1\
subGroups view=RawSignal factor=ETS1 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Ets1Pcr1xRawRep1\
type bigWig 0.221942 138.214005\
wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaPlusRawSigRep2 GM78 nuc pA- + 2 bigWig 1.000000 1589847.000000 GM12878 nucleus polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 48 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nuc pA- + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 1589847.000000\
wgEncodeSydhTfbsGm12878NfyaIggmusSig GM78 NYA IgM bigWig 1.000000 6996.000000 GM12878 NF-YA IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 48 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NF-YA IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 NYA IgM\
subGroups view=Signal factor=NFYA cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878NfyaIggmusSig\
type bigWig 1.000000 6996.000000\
wgEncodeBroadHistoneH1hescH3k27acStdPk H1-hESC H3K27ac broadPeak H1-hESC H3K27ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 48 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K27ac Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC H3K27ac\
subGroups view=Peaks factor=H3K27AC cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k27acStdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPapPlusSignalRep2 H1ES cell pA+ + 2 bigWig 0.050000 5374.350098 H1-hESC whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 48 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel H1ES cell pA+ + 2\
subGroups view=PlusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageH1hescCellPapPlusSignalRep2\
type bigWig 0.050000 5374.350098\
wgEncodeUwAffyExonArrayHacSimpleSignalRep1 HAc 1 broadPeak HAc Exon array Signal Rep 1 from ENCODE/UW 0 48 0 0 0 127 127 127 0 0 0 expression 1 longLabel HAc Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HAc 1\
subGroups cellType=t3HAC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHacSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHct116UniPk HCT-116 DNase narrowPeak HCT-116 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 48 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HCT-116 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HCT-116 DNase\
subGroups tier=a30 cellType=HCT-116\
track wgEncodeAwgDnaseUwHct116UniPk\
wgEncodeOpenChromChipHepg2CmycSig HepG2 cMyc DS bigWig 0.000000 1.815900 HepG2 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 48 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HepG2 cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CmycSig\
type bigWig 0.000000 1.815900\
wgEncodeHaibGenotypeHrpeRegionsRep1 HRPEpiC 1 bed 9 + HRPEpiC Copy number variants Replicate 1 from ENCODE/HAIB 0 48 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRPEpiC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRPEpiC 1\
subGroups cellType=t3HRPEPIC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeHrpeRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqHuvecValleysRep1 HUVEC Vly 1 bed 9 HUVEC Repli-seq Valleys Rep 1 from ENCODE/UW 0 48 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel HUVEC Vly 1\
subGroups view=v3Valleys cellType=t2HUVEC phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHuvecValleysRep1\
type bed 9\
wgEncodeCaltechRnaSeqK562R1x75dAlignsRep2V2 K562 1x75D A 2 bam K562 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 48 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel K562 1x75D A 2\
subGroups view=Aligns cellType=t1K562 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dAlignsRep2V2\
type bam\
wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapMinusRawRep1 K562 cyto TAP - 1 bigWig 1.000000 2803742.000000 K562 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 48 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 cyto TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=CYTOSOL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapMinusRawRep1\
type bigWig 1.000000 2803742.000000\
wgEncodeUwDnaseLhcnm2Diff4dPkRep1 LHCNM2 dif4d Pk 1 narrowPeak LHCN-M2 DIFF 4 d DNaseI HS Peaks Rep 1 from ENCODE/UW 1 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI HS Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel LHCNM2 dif4d Pk 1\
subGroups view=Peaks cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDnaseLhcnm2Diff4dPkRep1\
type narrowPeak\
wgEncodeUwTfbsMcf7CtcfStdHotspotsRep2 MCF7 CTCF Ht 2 broadPeak MCF-7 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel MCF7 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t2MCF7 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeOpenChromDnaseMcf7CtcfshrnaBaseOverlapSignal MCF7 CTCFshRNA OS bigWig 0.000000 319.000000 MCF-7 CTCF shRNA knockdown DNaseI HS Overlap Signal from ENCODE/Duke 2 48 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 CTCF shRNA knockdown DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel MCF7 CTCFshRNA OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=CTCFSHRNA\
track wgEncodeOpenChromDnaseMcf7CtcfshrnaBaseOverlapSignal\
type bigWig 0.000000 319.000000\
wgEncodeHaibMethyl450NhaSitesRep1 NH-A bed 9 NH-A Methylation 450K Bead Array from ENCODE/HAIB 1 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NH-A Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel NH-A\
subGroups cellType=t3NHA obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450NhaSitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k9me3UcdPk PBMC H3K9me3 narrowPeak PBMC H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 48 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PBMC H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PBMC H3K9me3\
subGroups view=Peaks factor=H3K09ME3 cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k9me3UcdPk\
type narrowPeak\
dhcHumDerDenAncSynFixed Syn Fxd bigBed 4 + Modern Human Derived (Fixed), Denisova Ancestral: Syn 0 48 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (Fixed), Denisova Ancestral: Syn\
parent dhcHumDerDenAncEns off\
shortLabel Syn Fxd\
subGroups view=Ens subset=ZLast_Syn freq=Fixed\
track dhcHumDerDenAncSynFixed\
trusight_exome_manifest_a TruSight Target bigBed 4 Illumina - TruSight Exome Target Regions 0 48 22 62 164 138 158 209 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/trusight_exome_manifest_a.bb\
color 22,62,164\
longLabel Illumina - TruSight Exome Target Regions\
parent exomeProbesets off\
shortLabel TruSight Target\
track trusight_exome_manifest_a\
type bigBed 4\
wgEncodeUwHistoneCd20ro01778H3k04me3StdHotspotsRep2 20+78 H3K4M3 Ht 2 broadPeak CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel 20+78 H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep2\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdHotspotsRep2\
type broadPeak\
wgEncodeGisRnaPetA549CytosolPapAlnRep3 A549 cyto pA+ A 3 bam A549 cytosol polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS 0 49 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 cytosol polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 cyto pA+ A 3\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549CytosolPapAlnRep3\
type bam\
encTfChipPkENCFF849UJR A549 SREBF2 narrowPeak Transcription Factor ChIP-seq Peaks of SREBF2 in A549 from ENCODE 3 (ENCFF849UJR) 1 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of SREBF2 in A549 from ENCODE 3 (ENCFF849UJR)\
parent encTfChipPk off\
shortLabel A549 SREBF2\
subGroups cellType=A549 factor=SREBF2\
track encTfChipPkENCFF849UJR\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_ctss_fwd AorticSmsToFgf2_06hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_forward 0 49 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep3%20%28LK30%29.CNhs13576.12847-137C3.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12847-137C3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_tpm_fwd AorticSmsToFgf2_06hrBr3+ bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_forward 1 49 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep3%20%28LK30%29.CNhs13576.12847-137C3.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12847-137C3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=forward\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonAosmcSimpleSignalRep2V2 AoSMC 2 bigBed 6 + AoSMC Exon array Signal Rep 2 from ENCODE/Duke 0 49 0 0 0 127 127 127 1 0 0 expression 1 longLabel AoSMC Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel AoSMC 2\
subGroups cellType=t3AOSMC treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonAosmcSimpleSignalRep2V2\
type bigBed 6 +\
pgNA06994 CEU NA06994 pgSnp CEU NA06994 (Complete Genomics) 0 49 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA06994 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA06994\
subGroups view=C_CG id=CB_div_GS06994 type=SNP\
track pgNA06994\
wgEncodeHaibRnaSeqEcc1Gen4hRawRep1 ECC-1 GEN 1 bigWig 0.248248 738.353027 ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 49 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 GEN 1\
subGroups view=RawSignal cellType=t3ECC1 treatment=GEN4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Gen4hRawRep1\
type bigWig 0.248248 738.353027\
wgEncodeOpenChromFaireFrontalcortexocPk Frntl crtx FAI Pk narrowPeak Frontal cortex FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 49 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Frontal cortex FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Frntl crtx FAI Pk\
subGroups view=Peaks cellType=t3FRONTALCORTEXOC treatment=AANONE\
track wgEncodeOpenChromFaireFrontalcortexocPk\
type narrowPeak\
wgEncodeHaibMethylRrbsGm06990UwSitesRep1 GM06990 1 bed 9 + GM06990 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM06990 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM06990 1\
subGroups cellType=t3GM06990 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm06990UwSitesRep1\
type bed 9 +\
wgEncodeAwgTfbsHaibGm12878Pbx3Pcr1xUniPk GM12878 PBX3 narrowPeak GM12878 TFBS Uniform Peaks of Pbx3 from ENCODE/HudsonAlpha/Analysis 1 49 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pbx3 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 PBX3\
subGroups tier=a10 cellType=a10GM12878 factor=PBX3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pbx3Pcr1xUniPk\
wgEncodeHaibTfbsGm12878Ets1Pcr1xPkRep2V2 GM78 ETS1 PCR1 2 broadPeak GM12878 ETS1 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 49 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ETS1 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 ETS1 PCR1 2\
subGroups view=Peaks factor=ETS1 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Ets1Pcr1xPkRep2V2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusPapAlnRep1 GM78 nuc pA+ A 1 bam GM12878 nucleus polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 49 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nuc pA+ A 1\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapAlnRep1\
type bam\
wgEncodeSydhTfbsGm12878NfybIggmusPk GM78 NYB IgM narrowPeak GM12878 NF-YB IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 49 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NF-YB IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 NYB IgM\
subGroups view=Peaks factor=NFYB cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878NfybIggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH3k27acStdSig H1-hESC H3K27ac bigWig 0.040000 19690.599609 H1-hESC H3K27ac Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 49 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K27ac Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC H3K27ac\
subGroups view=Signal factor=H3K27AC cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k27acStdSig\
type bigWig 0.040000 19690.599609\
wgEncodeRikenCageH1hescCellPapMinusSignalRep1 H1ES cell pA+ - 1 bigWig 0.040000 13309.480469 H1-hESC whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 49 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel H1ES cell pA+ - 1\
subGroups view=MinusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageH1hescCellPapMinusSignalRep1\
type bigWig 0.040000 13309.480469\
wgEncodeUwDgfH7esHotspots H7-hESC Hot broadPeak H7-hESC DNaseI DGF Hotspots from ENCODE/UW 0 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H7-hESC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel H7-hESC Hot\
subGroups view=Hotspots cellType=t3H7HESC treatment=aNONE rep=rep1\
track wgEncodeUwDgfH7esHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHacSimpleSignalRep2 HAc 2 broadPeak HAc Exon array Signal Rep 2 from ENCODE/UW 0 49 0 0 0 127 127 127 0 0 0 expression 1 longLabel HAc Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HAc 2\
subGroups cellType=t3HAC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHacSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwHconfUniPk HConF DNase narrowPeak HConF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 49 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HConF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HConF DNase\
subGroups tier=a30 cellType=HConF\
track wgEncodeAwgDnaseUwHconfUniPk\
wgEncodeOpenChromChipHepg2CmycBaseOverlapSignal HepG2 cMyc OS bigWig 0.000000 558.000000 HepG2 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 49 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HepG2 cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CmycBaseOverlapSignal\
type bigWig 0.000000 558.000000\
wgEncodeHaibGenotypeHrpeRegionsRep2 HRPEpiC 2 bed 9 + HRPEpiC Copy number variants Replicate 2 from ENCODE/HAIB 0 49 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HRPEpiC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HRPEpiC 2\
subGroups cellType=t3HRPEPIC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeHrpeRegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqHuvecWaveSignalRep1 HUVEC Ws 1 bigWig -5.104345 89.079559 HUVEC Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 49 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal\
shortLabel HUVEC Ws 1\
subGroups view=v4WaveSignal cellType=t2HUVEC phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHuvecWaveSignalRep1\
type bigWig -5.104345 89.079559\
wgEncodeCaltechRnaSeqK562R1x75dTh1014UMinusRawRep1V4 K562 1x75D - 1 bigWig -29335.000000 -0.025000 K562 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 49 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal\
shortLabel K562 1x75D - 1\
subGroups view=MinusSignal cellType=t1K562 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dTh1014UMinusRawRep1V4\
type bigWig -29335.000000 -0.025000\
wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapMinusRawRep2 K562 cyto TAP - 2 bigWig 1.000000 3546408.000000 K562 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 49 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 cyto TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapMinusRawRep2\
type bigWig 1.000000 3546408.000000\
wgEncodeUwDnaseLhcnm2PkRep1 LHCNM2 Pk 1 narrowPeak LHCN-M2 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI HS Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel LHCNM2 Pk 1\
subGroups view=Peaks cellType=t2LHCNM2 treatment=None rep=rep1\
track wgEncodeUwDnaseLhcnm2PkRep1\
type narrowPeak\
wgEncodeUwTfbsMcf7CtcfStdPkRep2 MCF7 CTCF Pk 2 narrowPeak MCF-7 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel MCF7 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t2MCF7 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdPkRep2\
type narrowPeak\
wgEncodeOpenChromDnaseMcf7HypoxlacPk MCF7 HypxLacA Pk narrowPeak MCF-7 Hypoxia LacAcid DNaseI HS Peaks from ENCODE/Duke 3 49 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Hypoxia LacAcid DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel MCF7 HypxLacA Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromDnaseMcf7HypoxlacPk\
type narrowPeak\
wgEncodeHaibMethyl450NhbeSitesRep1 NHBE bed 9 NHBE Methylation 450K Bead Array from ENCODE/HAIB 1 49 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NHBE Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel NHBE\
subGroups cellType=t3NHBE obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450NhbeSitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k9me3UcdSig PBMC H3K9me3 bigWig 1.000000 155809.000000 PBMC H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 49 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PBMC H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PBMC H3K9me3\
subGroups view=Signal factor=H3K09ME3 cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k9me3UcdSig\
type bigWig 1.000000 155809.000000\
dhcHumDerDenAncSynFixedDbSnp Syn FxS bigBed 4 + Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Syn 0 49 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (Fixed+dbSNP), Denisova Ancestral: Syn\
parent dhcHumDerDenAncEns off\
shortLabel Syn FxS\
subGroups view=Ens subset=ZLast_Syn freq=FixedDbSnp\
track dhcHumDerDenAncSynFixedDbSnp\
Twist_Comp_Exome_Target Twist Compr. T bigBed Twist - Comprehensive Exome Panel Target Regions 1 49 254 97 0 254 176 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TwistCompExomeTarget_hg19.bb\
color 254,97,0\
longLabel Twist - Comprehensive Exome Panel Target Regions\
parent exomeProbesets on\
shortLabel Twist Compr. T\
track Twist_Comp_Exome_Target\
type bigBed\
visibility dense\
wgEncodeUwHistoneCd20ro01778H3k04me3StdPkRep2 20+78 H3K4M3 Pk 2 narrowPeak CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel 20+78 H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep2\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdPkRep2\
type narrowPeak\
wgEncodeGisRnaPetA549CytosolPapAlnRep4 A549 cyto pA+ A 4 bam A549 cytosol polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS 0 50 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 cytosol polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 cyto pA+ A 4\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=cytosol rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549CytosolPapAlnRep4\
type bam\
encTfChipPkENCFF747LKL A549 TAF1 narrowPeak Transcription Factor ChIP-seq Peaks of TAF1 in A549 from ENCODE 3 (ENCFF747LKL) 1 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of TAF1 in A549 from ENCODE 3 (ENCFF747LKL)\
parent encTfChipPk off\
shortLabel A549 TAF1\
subGroups cellType=A549 factor=TAF1\
track encTfChipPkENCFF747LKL\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_ctss_rev AorticSmsToFgf2_06hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_reverse 0 50 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep3%20%28LK30%29.CNhs13576.12847-137C3.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12847-137C3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToFgf2_06hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_tpm_rev AorticSmsToFgf2_06hrBr3- bigWig Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_reverse 1 50 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20FGF2%2c%2006hr%2c%20biol_rep3%20%28LK30%29.CNhs13576.12847-137C3.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to FGF2, 06hr, biol_rep3 (LK30)_CNhs13576_12847-137C3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12847-137C3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToFgf2_06hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_FGF2 strand=reverse\
track AorticSmoothMuscleCellResponseToFGF206hrBiolRep3LK30_CNhs13576_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12847-137C3\
urlLabel FANTOM5 Details:\
pgNA06994indel CEU NA06994 indel pgSnp CEU NA06994 indel (Complete Genomics) 0 50 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA06994 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA06994 indel\
subGroups view=C_CG id=CB_div_GS06994 type=Indel\
track pgNA06994indel\
wgEncodeDukeAffyExonChorionSimpleSignalRep1V2 Chorion 1 bigBed 6 + Chorion Exon array Signal Rep 1 from ENCODE/Duke 0 50 0 0 0 127 127 127 1 0 0 expression 1 longLabel Chorion Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Chorion 1\
subGroups cellType=t3CHORION treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonChorionSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibRnaSeqEcc1Gen4hAlnRep1 ECC-1 GEN 1 bam ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 50 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 GEN 1\
subGroups view=Alignments cellType=t3ECC1 treatment=GEN4H rep=rep1\
track wgEncodeHaibRnaSeqEcc1Gen4hAlnRep1\
type bam\
wgEncodeOpenChromFaireFrontalcortexocSig Frntl crtx FAI DS bigWig 0.000000 0.592400 Frontal cortex FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 50 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Frontal cortex FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Frntl crtx FAI DS\
subGroups view=SIG cellType=t3FRONTALCORTEXOC treatment=AANONE\
track wgEncodeOpenChromFaireFrontalcortexocSig\
type bigWig 0.000000 0.592400\
wgEncodeHaibMethylRrbsGm06990UwSitesRep2 GM06990 2 bed 9 + GM06990 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM06990 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM06990 2\
subGroups cellType=t3GM06990 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm06990UwSitesRep2\
type bed 9 +\
wgEncodeAwgTfbsHaibGm12878Pmlsc71910V0422111UniPk GM12878 PML narrowPeak GM12878 TFBS Uniform Peaks of PML_(SC-71910) from ENCODE/HudsonAlpha/Analysis 1 50 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of PML_(SC-71910) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 PML\
subGroups tier=a10 cellType=a10GM12878 factor=PML lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pmlsc71910V0422111UniPk\
wgEncodeHaibTfbsGm12878Ets1Pcr1xRawRep2 GM78 ETS1 PCR1 2 bigWig 0.246279 116.305000 GM12878 ETS1 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 50 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ETS1 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 ETS1 PCR1 2\
subGroups view=RawSignal factor=ETS1 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Ets1Pcr1xRawRep2\
type bigWig 0.246279 116.305000\
wgEncodeCshlLongRnaSeqGm12878NucleusPapAlnRep2 GM78 nuc pA+ A 2 bam GM12878 nucleus polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 50 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel GM78 nuc pA+ A 2\
subGroups view=Alignments cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapAlnRep2\
type bam\
wgEncodeSydhTfbsGm12878NfybIggmusSig GM78 NYB IgM bigWig 1.000000 6516.000000 GM12878 NF-YB IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 50 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NF-YB IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 NYB IgM\
subGroups view=Signal factor=NFYB cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878NfybIggmusSig\
type bigWig 1.000000 6516.000000\
wgEncodeBroadHistoneH1hescH3k27me3StdPk H1-hESC H3K27m3 broadPeak H1-hESC H3K27me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 50 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K27me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC H3K27m3\
subGroups view=Peaks factor=H3K27ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k27me3StdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPapMinusSignalRep2 H1ES cell pA+ - 2 bigWig 0.050000 11162.490234 H1-hESC whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 50 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel H1ES cell pA+ - 2\
subGroups view=MinusRawSignal cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageH1hescCellPapMinusSignalRep2\
type bigWig 0.050000 11162.490234\
wgEncodeUwDgfH7esPkV2 H7-hESC Pk narrowPeak H7-hESC DNaseI DGF Peaks from ENCODE/UW 0 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel H7-hESC DNaseI DGF Peaks from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewPeaks off\
shortLabel H7-hESC Pk\
subGroups view=Peaks cellType=t3H7HESC treatment=aNONE rep=rep1\
track wgEncodeUwDgfH7esPkV2\
type narrowPeak\
wgEncodeUwAffyExonArrayHaeSimpleSignalRep1 HAEpiC 1 broadPeak HAEpiC Exon array Signal Rep 1 from ENCODE/UW 0 50 0 0 0 127 127 127 0 0 0 expression 1 longLabel HAEpiC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HAEpiC 1\
subGroups cellType=t3HAEPIC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHaeSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseUwHeepicUniPk HEEpiC DNase narrowPeak HEEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 50 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HEEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HEEpiC DNase\
subGroups tier=a30 cellType=HEEpiC\
track wgEncodeAwgDnaseUwHeepicUniPk\
wgEncodeOpenChromChipHepg2CtcfPk HepG2 CTCF Pk narrowPeak HepG2 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 50 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HepG2 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CtcfPk\
type narrowPeak\
wgEncodeHaibGenotypeHsmmRegionsRep3 HSMM 1 bed 9 + HSMM Copy number variants Replicate 1 (Lab Rep 3) from ENCODE/HAIB 0 50 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HSMM Copy number variants Replicate 1 (Lab Rep 3) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HSMM 1\
subGroups cellType=t3HSMM obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeHsmmRegionsRep3\
type bed 9 +\
wgEncodeUwRepliSeqHuvecSumSignalRep1 HUVEC Sd 1 bigWig 1.000000 2431.000000 HUVEC Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 50 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel HUVEC Sd 1\
subGroups view=v5SumSignal cellType=t2HUVEC phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqHuvecSumSignalRep1\
type bigWig 1.000000 2431.000000\
wgEncodeCaltechRnaSeqK562R1x75dTh1014UMinusRawRep2V4 K562 1x75D - 2 bigWig -26092.800781 -0.018500 K562 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 50 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal\
shortLabel K562 1x75D - 2\
subGroups view=MinusSignal cellType=t1K562 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dTh1014UMinusRawRep2V4\
type bigWig -26092.800781 -0.018500\
wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapPlusRawRep1 K562 cyto TAP + 1 bigWig 1.000000 1944213.000000 K562 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 50 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 cyto TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=CYTOSOL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapPlusRawRep1\
type bigWig 1.000000 1944213.000000\
wgEncodeUwDnaseLhcnm2Diff4dRawRep1 LHCNM2 dif4d Sg 1 bigWig 1.000000 148959.000000 LHCN-M2 DIFF 4 d DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 50 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DIFF 4 d DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel LHCNM2 dif4d Sg 1\
subGroups view=zRSig cellType=t2LHCNM2 treatment=DIFF4D rep=rep1\
track wgEncodeUwDnaseLhcnm2Diff4dRawRep1\
type bigWig 1.000000 148959.000000\
wgEncodeUwTfbsMcf7CtcfStdRawRep2 MCF7 CTCF Sg 2 bigWig 1.000000 15951.000000 MCF-7 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 50 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel MCF7 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t2MCF7 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsMcf7CtcfStdRawRep2\
type bigWig 1.000000 15951.000000\
wgEncodeOpenChromDnaseMcf7HypoxlacSig MCF7 HypxLacA DS bigWig 0.000000 0.741200 MCF-7 Hypoxia LacAcid DNaseI HS Density Signal from ENCODE/Duke 2 50 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia LacAcid DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel MCF7 HypxLacA DS\
subGroups view=SIG cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromDnaseMcf7HypoxlacSig\
type bigWig 0.000000 0.741200\
wgEncodeHaibMethyl450NhdfneoSitesRep1 NHDF-neo bed 9 NHDF-neo Methylation 450K Bead Array from ENCODE/HAIB 1 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NHDF-neo Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel NHDF-neo\
subGroups cellType=t3NHDFNEO obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450NhdfneoSitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k27me3bUcdPk PBMC H3K27me3 narrowPeak PBMC H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 50 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PBMC H3K27me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks off\
shortLabel PBMC H3K27me3\
subGroups view=Peaks factor=H3K27me3B cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k27me3bUcdPk\
type narrowPeak\
dhcHumDerDenAncSynHighFreq Syn HiF bigBed 4 + Modern Human Derived (HighFreq), Denisova Ancestral: Syn 0 50 0 200 0 127 227 127 0 0 0 denisova 1 color 0,200,0\
longLabel Modern Human Derived (HighFreq), Denisova Ancestral: Syn\
parent dhcHumDerDenAncEns off\
shortLabel Syn HiF\
subGroups view=Ens subset=ZLast_Syn freq=HighFreq\
track dhcHumDerDenAncSynHighFreq\
Twist_Exome_Target Twist Core T bigBed Twist - Core Exome Panel Target Regions 1 50 254 97 0 254 176 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TwistExomeTarget_hg19.bb\
color 254,97,0\
longLabel Twist - Core Exome Panel Target Regions\
parent exomeProbesets off\
shortLabel Twist Core T\
track Twist_Exome_Target\
type bigBed\
visibility dense\
wgEncodeUwHistoneCd20ro01778H3k04me3StdRawRep2 20+78 H3K4M3 Sg 2 bigWig 1.000000 4152.000000 CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ (RO 01778) H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel 20+78 H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep2\
track wgEncodeUwHistoneCd20ro01778H3k04me3StdRawRep2\
type bigWig 1.000000 4152.000000\
wgEncodeGisRnaPetA549NucleusPapClusters A549 nucl pA+ bed 6 + A549 nucleus polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 51 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 nucleus polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel A549 nucl pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP\
track wgEncodeGisRnaPetA549NucleusPapClusters\
type bed 6 +\
encTfChipPkENCFF672FQU A549 TCF12 narrowPeak Transcription Factor ChIP-seq Peaks of TCF12 in A549 from ENCODE 3 (ENCFF672FQU) 1 51 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of TCF12 in A549 from ENCODE 3 (ENCFF672FQU)\
parent encTfChipPk off\
shortLabel A549 TCF12\
subGroups cellType=A549 factor=TCF12\
track encTfChipPkENCFF672FQU\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_ctss_fwd AorticSmsToIL1b_00hr00minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_forward 0 51 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep1%20%28LK31%29.CNhs13349.12652-134H6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12652-134H6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_tpm_fwd AorticSmsToIL1b_00hr00minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_forward 1 51 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep1%20%28LK31%29.CNhs13349.12652-134H6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12652-134H6 sequence_tech=hCAGE\
parent TSS_activity_TPM on\
shortLabel AorticSmsToIL1b_00hr00minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6\
urlLabel FANTOM5 Details:\
pgNA07357 CEU NA07357 pgSnp CEU NA07357 (Complete Genomics) 0 51 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA07357 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA07357\
subGroups view=C_CG id=CB_div_GS07357 type=SNP\
track pgNA07357\
wgEncodeDukeAffyExonCllSimpleSignalRep1V2 CLL 1 bigBed 6 + CLL Exon array Signal Rep 1 from ENCODE/Duke 0 51 0 0 0 127 127 127 1 0 0 expression 1 longLabel CLL Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel CLL 1\
subGroups cellType=t3CLL treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonCllSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibRnaSeqEcc1Gen4hRawRep2 ECC-1 GEN 2 bigWig 0.204548 865.341980 ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 51 0 0 0 127 127 127 0 0 0 expression 0 longLabel ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel ECC-1 GEN 2\
subGroups view=RawSignal cellType=t3ECC1 treatment=GEN4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Gen4hRawRep2\
type bigWig 0.204548 865.341980\
wgEncodeOpenChromFaireFrontalcortexocBaseOverlapSignal Frntl crtx FAI OS bigWig 0.000000 2783.000000 Frontal cortex FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 51 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Frontal cortex FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Frntl crtx FAI OS\
subGroups view=SIGBO cellType=t3FRONTALCORTEXOC treatment=AANONE\
track wgEncodeOpenChromFaireFrontalcortexocBaseOverlapSignal\
type bigWig 0.000000 2783.000000\
wgEncodeAwgTfbsHaibGm12878Pol24h8Pcr1xUniPk GM12878 POLR2A h narrowPeak GM12878 TFBS Uniform Peaks of Pol2-4H8 from ENCODE/HudsonAlpha/Analysis 1 51 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2-4H8 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform on\
shortLabel GM12878 POLR2A h\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pol24h8Pcr1xUniPk\
wgEncodeHaibMethylRrbsGm12878ximatHaibSitesRep1 GM12878-XiM 1 bed 9 + GM12878-XiMat Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 51 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878-XiMat Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12878-XiM 1\
subGroups cellType=t3GM12878XIMAT obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm12878ximatHaibSitesRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878Foxm1sc502V0422111PkRep1 GM78 FOXM1 V11 1 broadPeak GM12878 FOXM1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 51 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 FOXM1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 FOXM1 V11 1\
subGroups view=Peaks factor=FOXM1SC502 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Foxm1sc502V0422111PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Nrf1IggmusPk GM78 Nrf1 IgM narrowPeak GM12878 Nrf1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 51 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Nrf1 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 Nrf1 IgM\
subGroups view=Peaks factor=NRF1 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Nrf1IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusPapContigs GM78 nuc pA+ C bed 6 + GM12878 nucleus polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 51 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel GM78 nuc pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapContigs\
type bed 6 +\
wgEncodeBroadHistoneH1hescH3k27me3StdSig H1-hESC H3K27m3 bigWig 0.040000 10269.200195 H1-hESC H3K27me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 51 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K27me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC H3K27m3\
subGroups view=Signal factor=H3K27ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k27me3StdSig\
type bigWig 0.040000 10269.200195\
wgEncodeRikenCageH1hescCellPapAlnRep1 H1ES cell pA+ A 1 bam H1-hESC whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 51 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel H1ES cell pA+ A 1\
subGroups view=Alignments cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageH1hescCellPapAlnRep1\
type bam\
wgEncodeUwDgfH7esSig H7-hESC Sig bigWig 1.000000 99682.000000 H7-hESC DNaseI DGF Per-base Signal from ENCODE/UW 2 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel H7-hESC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel H7-hESC Sig\
subGroups view=Signal cellType=t3H7HESC treatment=aNONE rep=rep1\
track wgEncodeUwDgfH7esSig\
type bigWig 1.000000 99682.000000\
wgEncodeUwAffyExonArrayHaeSimpleSignalRep2 HAEpiC 2 broadPeak HAEpiC Exon array Signal Rep 2 from ENCODE/UW 0 51 0 0 0 127 127 127 0 0 0 expression 1 longLabel HAEpiC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HAEpiC 2\
subGroups cellType=t3HAEPIC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHaeSimpleSignalRep2\
type broadPeak\
wgEncodeOpenChromChipHepg2CtcfSig HepG2 CTCF DS bigWig 0.000000 7.433400 HepG2 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 51 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HepG2 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CtcfSig\
type bigWig 0.000000 7.433400\
wgEncodeAwgDnaseUwHffUniPk HFF DNase narrowPeak HFF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 51 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HFF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HFF DNase\
subGroups tier=a30 cellType=HFF\
track wgEncodeAwgDnaseUwHffUniPk\
wgEncodeHaibGenotypeHsmmtRegionsRep2 HSMMtube 1 bed 9 + HSMM tube Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 51 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HSMM tube Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HSMMtube 1\
subGroups cellType=t3HSMMTUBE obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeHsmmtRegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqImr90G1bPctSignalRep1 IMR90 G1b 1 bigWig 1.000000 100.000000 IMR90 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 G1b 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqImr90G1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeCaltechRnaSeqK562R1x75dTh1014UPlusRawRep1V4 K562 1x75D + 1 bigWig 0.018500 59423.332031 K562 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 51 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal\
shortLabel K562 1x75D + 1\
subGroups view=PlusSignal cellType=t1K562 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dTh1014UPlusRawRep1V4\
type bigWig 0.018500 59423.332031\
wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapPlusRawRep2 K562 cyto TAP + 2 bigWig 1.000000 3541956.000000 K562 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 51 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 cyto TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=CYTOSOL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562CytosolShorttotalTapPlusRawRep2\
type bigWig 1.000000 3541956.000000\
wgEncodeUwDnaseLhcnm2RawRep1 LHCNM2 Sg 1 bigWig 1.000000 38573.000000 LHCN-M2 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel LHCNM2 Sg 1\
subGroups view=zRSig cellType=t2LHCNM2 treatment=None rep=rep1\
track wgEncodeUwDnaseLhcnm2RawRep1\
type bigWig 1.000000 38573.000000\
wgEncodeOpenChromDnaseMcf7HypoxlacBaseOverlapSignal MCF7 HypxLacA OS bigWig 0.000000 231.000000 MCF-7 Hypoxia LacAcid DNaseI HS Overlap Signal from ENCODE/Duke 2 51 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia LacAcid DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel MCF7 HypxLacA OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=HYPOXLAC\
track wgEncodeOpenChromDnaseMcf7HypoxlacBaseOverlapSignal\
type bigWig 0.000000 231.000000\
wgEncodeUwTfbsMcf7InputStdRawRep1 MCF7 In Sg 1 bigWig 1.000000 25597.000000 MCF-7 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel MCF7 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2MCF7 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsMcf7InputStdRawRep1\
type bigWig 1.000000 25597.000000\
wgEncodeHaibMethyl450Nt2d1SitesRep1 NT2-D1 bed 9 NT2-D1 Methylation 450K Bead Array from ENCODE/HAIB 1 51 0 0 0 127 127 127 0 0 0 regulation 1 longLabel NT2-D1 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel NT2-D1\
subGroups cellType=t3NT2D1 obtainedBy=Stanford treatment=zNONE\
track wgEncodeHaibMethyl450Nt2d1SitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcH3k27me3bUcdSig PBMC H3K27me3 bigWig 1.000000 23277.000000 PBMC H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 51 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PBMC H3K27me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PBMC H3K27me3\
subGroups view=Signal factor=H3K27me3B cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcH3k27me3bUcdSig\
type bigWig 1.000000 23277.000000\
Twist_Exome_Target2 Twist Exome 2.0 bigBed Twist - Exome 2.0 Panel Target Regions 1 51 254 97 0 254 176 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TwistExome21.bb\
color 254,97,0\
longLabel Twist - Exome 2.0 Panel Target Regions\
parent exomeProbesets on\
shortLabel Twist Exome 2.0\
track Twist_Exome_Target2\
type bigBed\
visibility dense\
wgEncodeUwHistoneCd20ro01778InputStdRawRep1 20+78 In Sg 1 bigWig 1.000000 15457.000000 CD20+ (RO 01778) Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 52 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ (RO 01778) Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel 20+78 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2BCELLSCD20RO01778 treatment=zNone rep=rep1\
track wgEncodeUwHistoneCd20ro01778InputStdRawRep1\
type bigWig 1.000000 15457.000000\
wgEncodeGisRnaPetA549NucleusPapMinusRawRep3 A549 nucl pA+ - 3 bigWig 1.000000 4591630.000000 A549 nucleus polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS 2 52 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 nucleus polyA+ clone-free RNA PET Minus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 nucl pA+ - 3\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549NucleusPapMinusRawRep3\
type bigWig 1.000000 4591630.000000\
encTfChipPkENCFF754GUT A549 USF2 narrowPeak Transcription Factor ChIP-seq Peaks of USF2 in A549 from ENCODE 3 (ENCFF754GUT) 1 52 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of USF2 in A549 from ENCODE 3 (ENCFF754GUT)\
parent encTfChipPk off\
shortLabel A549 USF2\
subGroups cellType=A549 factor=USF2\
track encTfChipPkENCFF754GUT\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_ctss_rev AorticSmsToIL1b_00hr00minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_reverse 0 52 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep1%20%28LK31%29.CNhs13349.12652-134H6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12652-134H6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_tpm_rev AorticSmsToIL1b_00hr00minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_reverse 1 52 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep1%20%28LK31%29.CNhs13349.12652-134H6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep1 (LK31)_CNhs13349_12652-134H6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12652-134H6 sequence_tech=hCAGE\
parent TSS_activity_TPM on\
shortLabel AorticSmsToIL1b_00hr00minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep1LK31_CNhs13349_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12652-134H6\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsMonocd14ro1746InputStdRawRep1 CD14+ In Sg 1 bigWig 1.000000 3306.000000 Monocytes-CD14+ RO1746 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 52 0 0 0 127 127 127 0 0 0 regulation 0 longLabel Monocytes-CD14+ RO1746 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel CD14+ In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2MONOCYTESCD14RO01746 treatment=aNone rep=rep1\
track wgEncodeUwTfbsMonocd14ro1746InputStdRawRep1\
type bigWig 1.000000 3306.000000\
pgNA07357indel CEU NA07357 indel pgSnp CEU NA07357 indel (Complete Genomics) 0 52 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA07357 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA07357 indel\
subGroups view=C_CG id=CB_div_GS07357 type=Indel\
track pgNA07357indel\
wgEncodeDukeAffyExonCllSimpleSignalRep2V2 CLL 2 bigBed 6 + CLL Exon array Signal Rep 2 from ENCODE/Duke 0 52 0 0 0 127 127 127 1 0 0 expression 1 longLabel CLL Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel CLL 2\
subGroups cellType=t3CLL treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonCllSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibRnaSeqEcc1Gen4hAlnRep2 ECC-1 GEN 2 bam ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 52 0 0 0 127 127 127 0 0 0 expression 1 longLabel ECC-1 GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel ECC-1 GEN 2\
subGroups view=Alignments cellType=t3ECC1 treatment=GEN4H rep=rep2\
track wgEncodeHaibRnaSeqEcc1Gen4hAlnRep2\
type bam\
wgEncodeOpenChromFaireGlioblaPk Gliobla FAIRE Pk narrowPeak Gliobla FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 52 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Gliobla FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Gliobla FAIRE Pk\
subGroups view=Peaks cellType=t3GLIOBLA treatment=AANONE\
track wgEncodeOpenChromFaireGlioblaPk\
type narrowPeak\
wgEncodeAwgTfbsHaibGm12878Pol2Pcr2xUniPk GM12878 POLR2A h2 narrowPeak GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/HudsonAlpha/Analysis 1 52 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR2A h2\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pol2Pcr2xUniPk\
wgEncodeHaibMethylRrbsGm12878ximatHaibSitesRep2 GM12878-XiM 2 bed 9 + GM12878-XiMat Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 52 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12878-XiMat Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12878-XiM 2\
subGroups cellType=t3GM12878XIMAT obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm12878ximatHaibSitesRep2\
type bed 9 +\
wgEncodeHaibTfbsGm12878Foxm1sc502V0422111RawRep1 GM78 FOXM1 V11 1 bigWig 0.107366 117.995003 GM12878 FOXM1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 52 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 FOXM1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 FOXM1 V11 1\
subGroups view=RawSignal factor=FOXM1SC502 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Foxm1sc502V0422111RawRep1\
type bigWig 0.107366 117.995003\
wgEncodeSydhTfbsGm12878Nrf1IggmusSig GM78 Nrf1 IgM bigWig 1.000000 9876.000000 GM12878 Nrf1 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 52 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Nrf1 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 Nrf1 IgM\
subGroups view=Signal factor=NRF1 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Nrf1IggmusSig\
type bigWig 1.000000 9876.000000\
wgEncodeCshlLongRnaSeqGm12878NucleusPapJunctions GM78 nuc pA+ J bed 6 + GM12878 nucleus polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 52 153 38 0 204 146 127 0 0 0 expression 1 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel GM78 nuc pA+ J\
subGroups view=Junctions cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapJunctions\
type bed 6 +\
wgEncodeBroadHistoneH1hescH3k36me3StdPk H1-hESC H3K36m3 broadPeak H1-hESC H3K36me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 52 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K36me3 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel H1-hESC H3K36m3\
subGroups view=Peaks factor=H3K36ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k36me3StdPk\
type broadPeak\
wgEncodeRikenCageH1hescCellPapAlnRep2 H1ES cell pA+ A 2 bam H1-hESC whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 52 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel H1ES cell pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageH1hescCellPapAlnRep2\
type bam\
wgEncodeUwDgfH7esRaw H7-hESC Raw bigWig 1.000000 326258.000000 H7-hESC DNaseI DGF Raw Signal from ENCODE/UW 0 52 0 0 0 127 127 127 0 0 0 regulation 0 longLabel H7-hESC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel H7-hESC Raw\
subGroups view=zRaw cellType=t3H7HESC treatment=aNONE rep=rep1\
track wgEncodeUwDgfH7esRaw\
type bigWig 1.000000 326258.000000\
wgEncodeUwAffyExonArrayHahSimpleSignalRep1 HA-h 1 broadPeak HA-h Exon-array Signal Rep 1 from ENCODE/UW 0 52 0 0 0 127 127 127 0 0 0 expression 1 longLabel HA-h Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HA-h 1\
subGroups cellType=t3HAH rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHahSimpleSignalRep1\
type broadPeak\
wgEncodeOpenChromChipHepg2CtcfBaseOverlapSignal HepG2 CTCF OS bigWig 0.000000 629.000000 HepG2 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 52 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HepG2 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2CtcfBaseOverlapSignal\
type bigWig 0.000000 629.000000\
wgEncodeAwgDnaseUwHffmycUniPk HFF-Myc DNase narrowPeak HFF-Myc DNaseI HS Uniform Peaks from ENCODE/Analysis 1 52 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HFF-Myc DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HFF-Myc DNase\
subGroups tier=a30 cellType=HFF-Myc\
track wgEncodeAwgDnaseUwHffmycUniPk\
wgEncodeHaibGenotypeHtr8RegionsRep1 HTR8svn 1 bed 9 + HTR8svn Copy number variants Replicate 1 from ENCODE/HAIB 0 52 0 0 0 127 127 127 0 0 0 varRep 1 longLabel HTR8svn Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel HTR8svn 1\
subGroups cellType=t3HTR8SVN obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeHtr8RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqImr90S1PctSignalRep1 IMR90 S1 1 bigWig 1.000000 100.000000 IMR90 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 52 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 S1 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqImr90S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeCaltechRnaSeqK562R1x75dTh1014UPlusRawRep2V4 K562 1x75D + 2 bigWig 0.018500 44144.000000 K562 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 52 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal\
shortLabel K562 1x75D + 2\
subGroups view=PlusSignal cellType=t1K562 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dTh1014UPlusRawRep2V4\
type bigWig 0.018500 44144.000000\
wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapContigs K562 nlus TAP C bed 6 K562 TAP-only nucleolus small RNA-seq Contigs from ENCODE/CSHL 2 52 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only nucleolus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel K562 nlus TAP C\
subGroups view=Contigs cellType=t1K562 localization=NUCLEOLUS protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapContigs\
type bed 6\
wgEncodeUwDnaseLhcnm2Diff4dHotspotsRep2 LHCNM2 dif4d Ht 2 broadPeak LHCN-M2 DIFF 4 d DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 52 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI HS HotSpots Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel LHCNM2 dif4d Ht 2\
subGroups view=Hot cellType=t2LHCNM2 treatment=DIFF4D rep=rep2\
track wgEncodeUwDnaseLhcnm2Diff4dHotspotsRep2\
type broadPeak\
wgEncodeOpenChromDnaseMcf7HypoxlacconPk MCF7 HypxCtrl Pk narrowPeak MCF-7 Hypoxia LacAcid Control DNaseI HS Peaks from ENCODE/Duke 3 52 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Hypoxia LacAcid Control DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel MCF7 HypxCtrl Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=HYPOXLACCON\
track wgEncodeOpenChromDnaseMcf7HypoxlacconPk\
type narrowPeak\
wgEncodeHaibMethyl450Ovcar3SitesRep1 ovcar-3 bed 9 ovcar-3 Methylation 450K Bead Array from ENCODE/HAIB 1 52 0 0 0 127 127 127 0 0 0 regulation 1 longLabel ovcar-3 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel ovcar-3\
subGroups cellType=t3OVCAR3 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Ovcar3SitesRep1\
type bed 9\
wgEncodeSydhHistonePbmcInputUcdSig PBMC Input bigWig 1.000000 10456.000000 PBMC Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 52 0 0 0 127 127 127 0 0 0 regulation 0 longLabel PBMC Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel PBMC Input\
subGroups view=Signal factor=INPUT cellType=cPBMC control=UCD treatment=NONE\
track wgEncodeSydhHistonePbmcInputUcdSig\
type bigWig 1.000000 10456.000000\
Twist_Exome_RefSeq_Targets Twist RefSeq T bigBed Twist - RefSeq Exome Panel Target Regions 1 52 254 97 0 254 176 127 0 0 0 map 1 bigDataUrl /gbdb/hg19/exomeProbesets/TwistExomeRefSeqTargets_hg19.bb\
color 254,97,0\
longLabel Twist - RefSeq Exome Panel Target Regions\
parent exomeProbesets off\
shortLabel Twist RefSeq T\
track Twist_Exome_RefSeq_Targets\
type bigBed\
visibility dense\
wgEncodeUwHistoneCd20ro01794H3k04me3StdHotspotsRep3 20+94 H3K4M3 Ht 3 broadPeak CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Hotspots 3 from ENCODE/UW 2 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Hotspots 3 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel 20+94 H3K4M3 Ht 3\
subGroups view=Hot factor=H3K04ME3 cellType=t2BCELLSCD20RO01794 treatment=zNone rep=rep3\
track wgEncodeUwHistoneCd20ro01794H3k04me3StdHotspotsRep3\
type broadPeak\
wgEncodeGisRnaPetA549NucleusPapMinusRawRep4 A549 nucl pA+ - 4 bigWig 1.000000 3575480.000000 A549 nucleus polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS 2 53 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 nucleus polyA+ clone-free RNA PET Minus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel A549 nucl pA+ - 4\
subGroups view=v2MinusRawSignal cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549NucleusPapMinusRawRep4\
type bigWig 1.000000 3575480.000000\
encTfChipPkENCFF713ISJ A549 YY1 narrowPeak Transcription Factor ChIP-seq Peaks of YY1 in A549 from ENCODE 3 (ENCFF713ISJ) 1 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of YY1 in A549 from ENCODE 3 (ENCFF713ISJ)\
parent encTfChipPk off\
shortLabel A549 YY1\
subGroups cellType=A549 factor=YY1\
track encTfChipPkENCFF713ISJ\
wgEncodeUwTfbsAg04449CtcfStdHotspotsRep1 AG49 CTCF Ht 1 broadPeak AG04449 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG49 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AG04449 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdHotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_ctss_fwd AorticSmsToIL1b_00hr00minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_forward 0 53 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep2%20%28LK32%29.CNhs13369.12750-136A5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12750-136A5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_tpm_fwd AorticSmsToIL1b_00hr00minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_forward 1 53 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep2%20%28LK32%29.CNhs13369.12750-136A5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12750-136A5 sequence_tech=hCAGE\
parent TSS_activity_TPM on\
shortLabel AorticSmsToIL1b_00hr00minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5\
urlLabel FANTOM5 Details:\
wgEncodeHaibGenotypeBcjejunumh12817nRegionsRep1 BC Jejunum 1 bed 9 + BC_Jejunum_H12817N Copy number variants Replicate 1 from ENCODE/HAIB 0 53 0 0 0 127 127 127 0 0 0 varRep 1 longLabel BC_Jejunum_H12817N Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel BC Jejunum 1\
subGroups cellType=t3JEJUNUMBCH12817N obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeBcjejunumh12817nRegionsRep1\
type bed 9 +\
pgNA10851 CEU NA10851 pgSnp CEU NA10851 (Complete Genomics) 0 53 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA10851 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA10851\
subGroups view=C_CG id=CB_div_GS10851 type=SNP\
track pgNA10851\
wgEncodeDukeAffyExonColo829SimpleSignalRep1 Colo829 1 bigBed 6 + Colo829 Exon array Signal Rep 1 from ENCODE/Duke 0 53 0 0 0 127 127 127 1 0 0 expression 1 longLabel Colo829 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Colo829 1\
subGroups cellType=t3COLO829 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonColo829SimpleSignalRep1\
type bigBed 6 +\
wgEncodeOpenChromFaireGlioblaSig Gliobla FAIRE DS bigWig 0.000000 0.367200 Gliobla FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 53 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Gliobla FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Gliobla FAIRE DS\
subGroups view=SIG cellType=t3GLIOBLA treatment=AANONE\
track wgEncodeOpenChromFaireGlioblaSig\
type bigWig 0.000000 0.367200\
wgEncodeAwgTfbsSydhGm12878Pol2IggmusUniPk GM12878 POLR2A s narrowPeak GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/Stanford/Analysis 1 53 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR2A s\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Pol2IggmusUniPk\
wgEncodeHaibMethylRrbsGm12891HaibSitesRep1 GM12891 1 bed 9 + GM12891 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12891 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12891 1\
subGroups cellType=t3GM12891 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm12891HaibSitesRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878Foxm1sc502V0422111PkRep2 GM78 FOXM1 V11 2 broadPeak GM12878 FOXM1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 53 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 FOXM1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 FOXM1 V11 2\
subGroups view=Peaks factor=FOXM1SC502 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Foxm1sc502V0422111PkRep2\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusPapMinusRawSigRep1 GM78 nuc pA+ - 1 bigWig 1.000000 170294.000000 GM12878 nucleus polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 53 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nuc pA+ - 1\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapMinusRawSigRep1\
type bigWig 1.000000 170294.000000\
wgEncodeSydhTfbsGm12878P300IggmusPk GM78 p300 IgM narrowPeak GM12878 p300 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 53 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 p300 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 p300 IgM\
subGroups view=Peaks factor=P300 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH3k36me3StdSig H1-hESC H3K36m3 bigWig 0.040000 16712.320312 H1-hESC H3K36me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 53 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K36me3 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel H1-hESC H3K36m3\
subGroups view=Signal factor=H3K36ME3 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k36me3StdSig\
type bigWig 0.040000 16712.320312\
wgEncodeUwAffyExonArrayHahSimpleSignalRep2 HA-h 2 broadPeak HA-h Exon-array Signal Rep 2 from ENCODE/UW 0 53 0 0 0 127 127 127 0 0 0 expression 1 longLabel HA-h Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HA-h 2\
subGroups cellType=t3HAH rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHahSimpleSignalRep2\
type broadPeak\
wgEncodeUwDgfHahHotspots HA-h Hot broadPeak HA-h DNaseI DGF Hotspots from ENCODE/UW 0 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HA-h DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HA-h Hot\
subGroups view=Hotspots cellType=t3HAAH treatment=aNONE rep=rep1\
track wgEncodeUwDgfHahHotspots\
type broadPeak\
wgEncodeOpenChromChipHepg2Pol2Pk HepG2 Pol2 Pk narrowPeak HepG2 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 53 189 0 157 222 127 206 1 0 0 regulation 1 color 189,0,157\
longLabel HepG2 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HepG2 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2Pol2Pk\
type narrowPeak\
wgEncodeAwgDnaseUwHgfUniPk HGF DNase narrowPeak HGF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 53 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HGF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HGF DNase\
subGroups tier=a30 cellType=HGF\
track wgEncodeAwgDnaseUwHgfUniPk\
wgEncodeUwRepliSeqImr90S2PctSignalRep1 IMR90 S2 1 bigWig 1.000000 100.000000 IMR90 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 53 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 S2 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqImr90S2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqJurkatRawRep1 Jurkat 1 bigWig 0.244927 403.884003 Jurkat RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 53 0 0 0 127 127 127 0 0 0 expression 0 longLabel Jurkat RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel Jurkat 1\
subGroups view=RawSignal cellType=t3JURKAT treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqJurkatRawRep1\
type bigWig 0.244927 403.884003\
wgEncodeCaltechRnaSeqK562R1x75dSplicesRep1V2 K562 1x75D Sp 1 bam K562 single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 53 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel K562 1x75D Sp 1\
subGroups view=Splices cellType=t1K562 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dSplicesRep1V2\
type bam\
wgEncodeRikenCageK562ChromatinTotalTssHmmV3 K562 chrm tot bed 6 K562 chromatin total CAGE TSS HMM from ENCODE/RIKEN 3 53 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 chromatin total CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel K562 chrm tot\
subGroups view=TssHmm cellType=t1K562 localization=chromatin rnaExtract=total rep=rep0 rank=rankP\
track wgEncodeRikenCageK562ChromatinTotalTssHmmV3\
type bed 6\
wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapMinusRawRep3 K562 nlus TAP - 1 bigWig 1.000000 939926.000000 K562 TAP-only nucleolus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 53 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleolus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nlus TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEOLUS protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapMinusRawRep3\
type bigWig 1.000000 939926.000000\
wgEncodeUwDnaseLhcnm2HotspotsRep2 LHCNM2 Ht 2 broadPeak LHCN-M2 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel LHCNM2 Ht 2\
subGroups view=Hot cellType=t2LHCNM2 treatment=None rep=rep2\
track wgEncodeUwDnaseLhcnm2HotspotsRep2\
type broadPeak\
wgEncodeOpenChromDnaseMcf7HypoxlacconSig MCF7 HypxCtrl DS bigWig 0.000000 0.726900 MCF-7 Hypoxia LacAcid Control DNaseI HS Density Signal from ENCODE/Duke 2 53 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia LacAcid Control DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel MCF7 HypxCtrl DS\
subGroups view=SIG cellType=t2MCF7 treatment=HYPOXLACCON\
track wgEncodeOpenChromDnaseMcf7HypoxlacconSig\
type bigWig 0.000000 0.726900\
wgEncodeHaibMethyl450Panc1SitesRep1 PANC-1 bed 9 PANC-1 Methylation 450K Bead Array from ENCODE/HAIB 1 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PANC-1 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel PANC-1\
subGroups cellType=t3PANC1 obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450Panc1SitesRep1\
type bed 9\
wgEncodeSydhHistoneU2osH3k9me3UcdPk U2OS H3K9me3 narrowPeak U2OS H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 53 0 0 0 127 127 127 0 0 0 regulation 1 longLabel U2OS H3K9me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel U2OS H3K9me3\
subGroups view=Peaks factor=H3K09ME3 cellType=cU2OS control=UCD treatment=NONE\
track wgEncodeSydhHistoneU2osH3k9me3UcdPk\
type narrowPeak\
wgEncodeUwHistoneCd20ro01794H3k04me3StdPkRep3 20+94 H3K4M3 Pk 3 narrowPeak CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Peaks 3 from ENCODE/UW 3 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Peaks 3 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel 20+94 H3K4M3 Pk 3\
subGroups view=Peaks factor=H3K04ME3 cellType=t2BCELLSCD20RO01794 treatment=zNone rep=rep3\
track wgEncodeUwHistoneCd20ro01794H3k04me3StdPkRep3\
type narrowPeak\
wgEncodeGisRnaPetA549NucleusPapPlusRawRep3 A549 nucl pA+ + 3 bigWig 1.000000 1534180.000000 A549 nucleus polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS 2 54 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 nucleus polyA+ clone-free RNA PET Plus signal Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 nucl pA+ + 3\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549NucleusPapPlusRawRep3\
type bigWig 1.000000 1534180.000000\
encTfChipPkENCFF639NGJ A549 ZBTB33 narrowPeak Transcription Factor ChIP-seq Peaks of ZBTB33 in A549 from ENCODE 3 (ENCFF639NGJ) 1 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ZBTB33 in A549 from ENCODE 3 (ENCFF639NGJ)\
parent encTfChipPk off\
shortLabel A549 ZBTB33\
subGroups cellType=A549 factor=ZBTB33\
track encTfChipPkENCFF639NGJ\
wgEncodeUwTfbsAg04449CtcfStdPkRep1 AG49 CTCF Pk 1 narrowPeak AG04449 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG49 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AG04449 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdPkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_ctss_rev AorticSmsToIL1b_00hr00minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_reverse 0 54 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep2%20%28LK32%29.CNhs13369.12750-136A5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12750-136A5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_tpm_rev AorticSmsToIL1b_00hr00minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_reverse 1 54 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep2%20%28LK32%29.CNhs13369.12750-136A5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep2 (LK32)_CNhs13369_12750-136A5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12750-136A5 sequence_tech=hCAGE\
parent TSS_activity_TPM on\
shortLabel AorticSmsToIL1b_00hr00minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep2LK32_CNhs13369_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12750-136A5\
urlLabel FANTOM5 Details:\
pgNA10851indel CEU NA10851 indel pgSnp CEU NA10851 indel (Complete Genomics) 0 54 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA10851 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA10851 indel\
subGroups view=C_CG id=CB_div_GS10851 type=Indel\
track pgNA10851indel\
wgEncodeDukeAffyExonColo829SimpleSignalRep2 Colo829 2 bigBed 6 + Colo829 Exon array Signal Rep 2 from ENCODE/Duke 0 54 0 0 0 127 127 127 1 0 0 expression 1 longLabel Colo829 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Colo829 2\
subGroups cellType=t3COLO829 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonColo829SimpleSignalRep2\
type bigBed 6 +\
wgEncodeOpenChromFaireGlioblaBaseOverlapSignal Gliobla FAIRE OS bigWig 0.000000 2386.000000 Gliobla FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 54 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Gliobla FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Gliobla FAIRE OS\
subGroups view=SIGBO cellType=t3GLIOBLA treatment=AANONE\
track wgEncodeOpenChromFaireGlioblaBaseOverlapSignal\
type bigWig 0.000000 2386.000000\
wgEncodeAwgTfbsSydhGm12878Pol2s2IggmusUniPk GM12878 POLR2A s2 narrowPeak GM12878 TFBS Uniform Peaks of Pol2(phosphoS2) from ENCODE/Stanford/Analysis 1 54 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2(phosphoS2) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR2A s2\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Pol2s2IggmusUniPk\
wgEncodeHaibMethylRrbsGm12891HaibSitesRep2 GM12891 2 bed 9 + GM12891 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12891 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12891 2\
subGroups cellType=t3GM12891 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm12891HaibSitesRep2\
type bed 9 +\
wgEncodeHaibTfbsGm12878Foxm1sc502V0422111RawRep2 GM78 FOXM1 V11 2 bigWig 0.187763 364.682007 GM12878 FOXM1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 54 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 FOXM1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 FOXM1 V11 2\
subGroups view=RawSignal factor=FOXM1SC502 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Foxm1sc502V0422111RawRep2\
type bigWig 0.187763 364.682007\
wgEncodeCshlLongRnaSeqGm12878NucleusPapMinusRawSigRep2 GM78 nuc pA+ - 2 bigWig 1.000000 167621.000000 GM12878 nucleus polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 54 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel GM78 nuc pA+ - 2\
subGroups view=MinusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapMinusRawSigRep2\
type bigWig 1.000000 167621.000000\
wgEncodeSydhTfbsGm12878P300IggmusSig GM78 p300 IgM bigWig 1.000000 16272.000000 GM12878 p300 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 54 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 p300 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 p300 IgM\
subGroups view=Signal factor=P300 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300IggmusSig\
type bigWig 1.000000 16272.000000\
wgEncodeBroadHistoneH1hescH3k79me2StdPk H1-hESC H3K79m2 broadPeak H1-hESC H3K79me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 54 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H3K79me2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H3K79m2\
subGroups view=Peaks factor=H3K79ME2 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k79me2StdPk\
type broadPeak\
wgEncodeUwDgfHahPk HA-h Pk narrowPeak HA-h DNaseI DGF Peaks from ENCODE/UW 0 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HA-h DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HA-h Pk\
subGroups view=Peaks cellType=t3HAAH treatment=aNONE rep=rep1\
track wgEncodeUwDgfHahPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHaspSimpleSignalRep1 HA-sp 1 broadPeak HA-sp Exon array Signal Rep 1 from ENCODE/UW 0 54 0 0 0 127 127 127 0 0 0 expression 1 longLabel HA-sp Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HA-sp 1\
subGroups cellType=t3HASP rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHaspSimpleSignalRep1\
type broadPeak\
wgEncodeOpenChromChipHepg2Pol2Sig HepG2 Pol2 DS bigWig 0.000000 6.043500 HepG2 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 54 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HepG2 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2Pol2Sig\
type bigWig 0.000000 6.043500\
wgEncodeAwgDnaseUwHipepicUniPk HIPEpiC DNase narrowPeak HIPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 54 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HIPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HIPEpiC DNase\
subGroups tier=a30 cellType=HIPEpiC\
track wgEncodeAwgDnaseUwHipepicUniPk\
wgEncodeUwRepliSeqImr90S3PctSignalRep1 IMR90 S3 1 bigWig 1.000000 100.000000 IMR90 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 54 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 S3 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqImr90S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqJurkatAlnRep1V2 Jurkat 1 bam Jurkat RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 54 0 0 0 127 127 127 0 0 0 expression 1 longLabel Jurkat RNA-seq Alignments Rep 1 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel Jurkat 1\
subGroups view=Alignments cellType=t3JURKAT treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqJurkatAlnRep1V2\
type bam\
wgEncodeHaibGenotypeJurkatRegionsRep1 Jurkat 1 bed 9 + Jurkat Copy number variants Replicate 1 from ENCODE/HAIB 0 54 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Jurkat Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Jurkat 1\
subGroups cellType=t3JURKAT obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeJurkatRegionsRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqK562R1x75dSplicesRep2V2 K562 1x75D Sp 2 bam K562 single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 54 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel K562 1x75D Sp 2\
subGroups view=Splices cellType=t1K562 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqK562R1x75dSplicesRep2V2\
type bam\
wgEncodeRikenCageK562ChromatinTotalPlusSignal K562 chrm tot + 1 bigWig 0.040000 4464.319824 K562 chromatin total CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 54 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 chromatin total CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 chrm tot + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=chromatin rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562ChromatinTotalPlusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapMinusRawRep4 K562 nlus TAP - 2 bigWig 1.000000 941876.000000 K562 TAP-only nucleolus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 54 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleolus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nlus TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEOLUS protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapMinusRawRep4\
type bigWig 1.000000 941876.000000\
wgEncodeUwDnaseLhcnm2Diff4dPkRep2 LHCNM2 dif4d Pk 2 narrowPeak LHCN-M2 DIFF 4 d DNaseI HS Peaks Rep 2 from ENCODE/UW 1 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DIFF 4 d DNaseI HS Peaks Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel LHCNM2 dif4d Pk 2\
subGroups view=Peaks cellType=t2LHCNM2 treatment=DIFF4D rep=rep2\
track wgEncodeUwDnaseLhcnm2Diff4dPkRep2\
type narrowPeak\
wgEncodeOpenChromDnaseMcf7HypoxlacconBaseOverlapSignal MCF7 HypxCtrl OS bigWig 0.000000 220.000000 MCF-7 Hypoxia LacAcid Control DNaseI HS Overlap Signal from ENCODE/Duke 2 54 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Hypoxia LacAcid Control DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel MCF7 HypxCtrl OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=HYPOXLACCON\
track wgEncodeOpenChromDnaseMcf7HypoxlacconBaseOverlapSignal\
type bigWig 0.000000 220.000000\
wgEncodeHaibMethyl450Pfsk1SitesRep1 PFSK-1 bed 9 PFSK-1 Methylation 450K Bead Array from ENCODE/HAIB 1 54 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PFSK-1 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel PFSK-1\
subGroups cellType=t3PFSK1 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450Pfsk1SitesRep1\
type bed 9\
wgEncodeSydhHistoneU2osH3k9me3UcdSig U2OS H3K9me3 bigWig 1.000000 51513.000000 U2OS H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 54 0 0 0 127 127 127 0 0 0 regulation 0 longLabel U2OS H3K9me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel U2OS H3K9me3\
subGroups view=Signal factor=H3K09ME3 cellType=cU2OS control=UCD treatment=NONE\
track wgEncodeSydhHistoneU2osH3k9me3UcdSig\
type bigWig 1.000000 51513.000000\
wgEncodeUwHistoneCd20ro01794H3k04me3StdRawRep3 20+94 H3K4M3 Sg 3 bigWig 1.000000 4845.000000 CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Raw Sig 3 from ENCODE/UW 2 55 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ (RO 01794) H3K4me3 Histone Mod ChIP-seq Raw Sig 3 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel 20+94 H3K4M3 Sg 3\
subGroups view=zRSig factor=H3K04ME3 cellType=t2BCELLSCD20RO01794 treatment=zNone rep=rep3\
track wgEncodeUwHistoneCd20ro01794H3k04me3StdRawRep3\
type bigWig 1.000000 4845.000000\
wgEncodeGisRnaPetA549NucleusPapPlusRawRep4 A549 nucl pA+ + 4 bigWig 1.000000 2703790.000000 A549 nucleus polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS 2 55 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 nucleus polyA+ clone-free RNA PET Plus signal Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel A549 nucl pA+ + 4\
subGroups view=v2PlusRawSignal cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549NucleusPapPlusRawRep4\
type bigWig 1.000000 2703790.000000\
encTfChipPkENCFF947IJX A673 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in A673 from ENCODE 3 (ENCFF947IJX) 1 55 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in A673 from ENCODE 3 (ENCFF947IJX)\
parent encTfChipPk off\
shortLabel A673 CTCF\
subGroups cellType=A673 factor=CTCF\
track encTfChipPkENCFF947IJX\
wgEncodeUwTfbsAg04449CtcfStdRawRep1 AG49 CTCF Sg 1 bigWig 1.000000 2542.000000 AG04449 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 55 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04449 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG49 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AG04449 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdRawRep1\
type bigWig 1.000000 2542.000000\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_ctss_fwd AorticSmsToIL1b_00hr00minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_forward 0 55 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep3%20%28LK33%29.CNhs13577.12848-137C4.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12848-137C4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_tpm_fwd AorticSmsToIL1b_00hr00minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_forward 1 55 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep3%20%28LK33%29.CNhs13577.12848-137C4.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12848-137C4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr00minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4\
urlLabel FANTOM5 Details:\
pgNA12004 CEU NA12004 pgSnp CEU NA12004 (Complete Genomics) 0 55 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA12004 (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12004\
subGroups view=C_CG id=CB_div_GS12004 type=SNP\
track pgNA12004\
wgEncodeDukeAffyExonFibroblSimpleSignalRep1V2 Fibrobl 1 bigBed 6 + Fibrobl Exon array Signal Rep 1 from ENCODE/Duke 0 55 0 0 0 127 127 127 1 0 0 expression 1 longLabel Fibrobl Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Fibrobl 1\
subGroups cellType=t3FIBROBL treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonFibroblSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeAwgTfbsUtaGm12878Pol2UniPk GM12878 POLR2A t narrowPeak GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/UT-A/Analysis 1 55 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/UT-A/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR2A t\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=UT-A\
track wgEncodeAwgTfbsUtaGm12878Pol2UniPk\
wgEncodeOpenChromFaireGm12891Pk GM12891 FAIRE Pk narrowPeak GM12891 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 55 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12891 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel GM12891 FAIRE Pk\
subGroups view=Peaks cellType=t3GM12891 treatment=AANONE\
track wgEncodeOpenChromFaireGm12891Pk\
type narrowPeak\
wgEncodeHaibMethylRrbsGm12892HaibSitesRep1 GM12892 1 bed 9 + GM12892 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 55 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12892 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12892 1\
subGroups cellType=t3GM12892 obtainedBy=HAIB treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm12892HaibSitesRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878GabpPcr2xPkRep1 GM78 GABP PCR2 1 broadPeak GM12878 GABP PCR2x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 55 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 GABP PCR2x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks on\
shortLabel GM78 GABP PCR2 1\
subGroups view=Peaks factor=GABP cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878GabpPcr2xPkRep1\
type broadPeak\
wgEncodeCshlLongRnaSeqGm12878NucleusPapPlusRawSigRep1 GM78 nuc pA+ + 1 bigWig 1.000000 386413.000000 GM12878 nucleus polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 55 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nuc pA+ + 1\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapPlusRawSigRep1\
type bigWig 1.000000 386413.000000\
wgEncodeSydhTfbsGm12878P300sc584IggmusPk GM78 p300 IgM narrowPeak GM12878 p300 SC584 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 55 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 p300 SC584 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 p300 IgM\
subGroups view=Peaks factor=P300SC584 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300sc584IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH3k79me2StdSig H1-hESC H3K79m2 bigWig 0.040000 18712.800781 H1-hESC H3K79me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 55 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H3K79me2 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H3K79m2\
subGroups view=Signal factor=H3K79ME2 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH3k79me2StdSig\
type bigWig 0.040000 18712.800781\
wgEncodeUwDgfHahSig HA-h Sig bigWig 1.000000 63740.000000 HA-h DNaseI DGF Per-base Signal from ENCODE/UW 2 55 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HA-h DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HA-h Sig\
subGroups view=Signal cellType=t3HAAH treatment=aNONE rep=rep1\
track wgEncodeUwDgfHahSig\
type bigWig 1.000000 63740.000000\
wgEncodeUwAffyExonArrayHaspSimpleSignalRep2 HA-sp 2 broadPeak HA-sp Exon array Signal Rep 2 from ENCODE/UW 0 55 0 0 0 127 127 127 0 0 0 expression 1 longLabel HA-sp Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HA-sp 2\
subGroups cellType=t3HASP rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHaspSimpleSignalRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Il200AlignsRep1V2 HeLa 2x75 A 1 bam HeLa-S3 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 55 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HeLa 2x75 A 1\
subGroups view=Aligns cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Il200AlignsRep1V2\
type bam\
wgEncodeOpenChromChipHepg2Pol2BaseOverlapSignal HepG2 Pol2 OS bigWig 0.000000 2206.000000 HepG2 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 55 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HepG2 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2Pol2BaseOverlapSignal\
type bigWig 0.000000 2206.000000\
wgEncodeAwgDnaseUwHl60UniPk HL-60 DNase narrowPeak HL-60 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 55 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HL-60 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HL-60 DNase\
subGroups tier=a30 cellType=HL-60\
track wgEncodeAwgDnaseUwHl60UniPk\
wgEncodeUwRepliSeqImr90S4PctSignalRep1 IMR90 S4 1 bigWig 1.000000 100.000000 IMR90 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 55 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 S4 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqImr90S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqJurkatRawRep2 Jurkat 2 bigWig 0.579586 391.365997 Jurkat RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 55 0 0 0 127 127 127 0 0 0 expression 0 longLabel Jurkat RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel Jurkat 2\
subGroups view=RawSignal cellType=t3JURKAT treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqJurkatRawRep2\
type bigWig 0.579586 391.365997\
wgEncodeHaibGenotypeJurkatRegionsRep2 Jurkat 2 bed 9 + Jurkat Copy number variants Replicate 2 from ENCODE/HAIB 0 55 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Jurkat Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Jurkat 2\
subGroups cellType=t3JURKAT obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeJurkatRegionsRep2\
type bed 9 +\
wgEncodeRikenCageK562ChromatinTotalMinusSignal K562 chrm tot - 1 bigWig 0.040000 4464.319824 K562 chromatin total CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 55 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 chromatin total CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 chrm tot - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=chromatin rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562ChromatinTotalMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapPlusRawRep3 K562 nlus TAP + 1 bigWig 1.000000 1901395.000000 K562 TAP-only nucleolus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 55 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleolus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nlus TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEOLUS protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapPlusRawRep3\
type bigWig 1.000000 1901395.000000\
wgEncodeUwDnaseLhcnm2PkRep2 LHCNM2 Pk 2 narrowPeak LHCN-M2 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 55 0 0 0 127 127 127 0 0 0 regulation 1 longLabel LHCN-M2 DNaseI HS Peaks Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel LHCNM2 Pk 2\
subGroups view=Peaks cellType=t2LHCNM2 treatment=None rep=rep2\
track wgEncodeUwDnaseLhcnm2PkRep2\
type narrowPeak\
wgEncodeOpenChromDnaseMcf7RandshrnaPk MCF7 shRNACtrl Pk narrowPeak MCF-7 Randomized shRNA Control DNaseI HS Peaks from ENCODE/Duke 3 55 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Randomized shRNA Control DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel MCF7 shRNACtrl Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=RANDSHRNA\
track wgEncodeOpenChromDnaseMcf7RandshrnaPk\
type narrowPeak\
wgEncodeHaibMethyl450PrecSitesRep1 PrEC bed 9 PrEC Methylation 450K Bead Array from ENCODE/HAIB 1 55 0 0 0 127 127 127 0 0 0 regulation 1 longLabel PrEC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel PrEC\
subGroups cellType=t3PREC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450PrecSitesRep1\
type bed 9\
wgEncodeSydhHistoneU2osH3k36me3bUcdPk U2OS H3K36me3 narrowPeak U2OS H3K36me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH 3 55 0 0 0 127 127 127 0 0 0 regulation 1 longLabel U2OS H3K36me3 Histone Modifications by ChIP-Seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewPeaks on\
shortLabel U2OS H3K36me3\
subGroups view=Peaks factor=H3K36me3B cellType=cU2OS control=UCD treatment=NONE\
track wgEncodeSydhHistoneU2osH3k36me3bUcdPk\
type narrowPeak\
wgEncodeUwHistoneCd20ro01794InputStdRawRep1 20+94 In Sg 1 bigWig 1.000000 15322.000000 CD20+ (RO 01794) Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 56 0 0 0 127 127 127 0 0 0 regulation 0 longLabel CD20+ (RO 01794) Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel 20+94 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2BCELLSCD20RO01794 treatment=zNone rep=rep1\
track wgEncodeUwHistoneCd20ro01794InputStdRawRep1\
type bigWig 1.000000 15322.000000\
wgEncodeGisRnaPetA549NucleusPapAlnRep3 A549 nucl pA+ A 3 bam A549 nucleus polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS 0 56 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 nucleus polyA+ clone-free RNA PET Alignments Rep 3 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 nucl pA+ A 3\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep3 rank=rank1\
track wgEncodeGisRnaPetA549NucleusPapAlnRep3\
type bam\
encTfChipPkENCFF085BBF A673 EZH2 narrowPeak Transcription Factor ChIP-seq Peaks of EZH2 in A673 from ENCODE 3 (ENCFF085BBF) 1 56 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of EZH2 in A673 from ENCODE 3 (ENCFF085BBF)\
parent encTfChipPk off\
shortLabel A673 EZH2\
subGroups cellType=A673 factor=EZH2\
track encTfChipPkENCFF085BBF\
wgEncodeUwTfbsAg04449CtcfStdHotspotsRep2 AG49 CTCF Ht 2 broadPeak AG04449 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 56 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG49 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AG04449 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdHotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_ctss_rev AorticSmsToIL1b_00hr00minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_reverse 0 56 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep3%20%28LK33%29.CNhs13577.12848-137C4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12848-137C4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr00minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_tpm_rev AorticSmsToIL1b_00hr00minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_reverse 1 56 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr00min%2c%20biol_rep3%20%28LK33%29.CNhs13577.12848-137C4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr00min, biol_rep3 (LK33)_CNhs13577_12848-137C4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12848-137C4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr00minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr00minBiolRep3LK33_CNhs13577_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12848-137C4\
urlLabel FANTOM5 Details:\
pgNA12004indel CEU NA12004 indel pgSnp CEU NA12004 indel (Complete Genomics) 0 56 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CEU NA12004 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CEU NA12004 indel\
subGroups view=C_CG id=CB_div_GS12004 type=Indel\
track pgNA12004indel\
wgEncodeDukeAffyExonFibroblSimpleSignalRep2V2 Fibrobl 2 bigBed 6 + Fibrobl Exon array Signal Rep 2 from ENCODE/Duke 0 56 0 0 0 127 127 127 1 0 0 expression 1 longLabel Fibrobl Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Fibrobl 2\
subGroups cellType=t3FIBROBL treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonFibroblSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Pol2UniPk GM12878 POLR2A y narrowPeak GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/Yale/Analysis 1 56 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol2 from ENCODE/Yale/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR2A y\
subGroups tier=a10 cellType=a10GM12878 factor=POLR2A lab=Yale\
track wgEncodeAwgTfbsSydhGm12878Pol2UniPk\
wgEncodeOpenChromFaireGm12891Sig GM12891 FAIRE DS bigWig 0.000000 0.636800 GM12891 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 56 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM12891 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel GM12891 FAIRE DS\
subGroups view=SIG cellType=t3GM12891 treatment=AANONE\
track wgEncodeOpenChromFaireGm12891Sig\
type bigWig 0.000000 0.636800\
wgEncodeHaibMethylRrbsGm12892HaibSitesRep2 GM12892 2 bed 9 + GM12892 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 56 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM12892 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM12892 2\
subGroups cellType=t3GM12892 obtainedBy=HAIB treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm12892HaibSitesRep2\
type bed 9 +\
wgEncodeHaibTfbsGm12878GabpPcr2xRawRep1 GM78 GABP PCR2 1 bigWig 0.155918 172.757004 GM12878 GABP PCR2x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 56 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 GABP PCR2x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal on\
shortLabel GM78 GABP PCR2 1\
subGroups view=RawSignal factor=GABP cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878GabpPcr2xRawRep1\
type bigWig 0.155918 172.757004\
wgEncodeCshlLongRnaSeqGm12878NucleusPapPlusRawSigRep2 GM78 nuc pA+ + 2 bigWig 1.000000 149923.000000 GM12878 nucleus polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 56 153 38 0 204 146 127 0 0 0 expression 0 color 153,38,0\
longLabel GM12878 nucleus polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel GM78 nuc pA+ + 2\
subGroups view=PlusSignal cellType=t1GM12878 localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqGm12878NucleusPapPlusRawSigRep2\
type bigWig 1.000000 149923.000000\
wgEncodeSydhTfbsGm12878P300sc584IggmusSig GM78 p300 IgM bigWig 1.000000 20108.000000 GM12878 p300 SC584 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 56 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 p300 SC584 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 p300 IgM\
subGroups view=Signal factor=P300SC584 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300sc584IggmusSig\
type bigWig 1.000000 20108.000000\
wgEncodeBroadHistoneH1hescH4k20me1StdPk H1-hESC H4K20m1 broadPeak H1-hESC H4K20me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 56 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC H4K20me1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC H4K20m1\
subGroups view=Peaks factor=H4K20ME1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH4k20me1StdPk\
type broadPeak\
wgEncodeUwDgfHahRaw HA-h Raw bigWig 1.000000 318524.000000 HA-h DNaseI DGF Raw Signal from ENCODE/UW 0 56 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HA-h DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HA-h Raw\
subGroups view=zRaw cellType=t3HAAH treatment=aNONE rep=rep1\
track wgEncodeUwDgfHahRaw\
type bigWig 1.000000 318524.000000\
wgEncodeUwAffyExonArrayHbmecSimpleSignalRep1 HBMEC 1 broadPeak HBMEC Exon array Signal Rep 1 from ENCODE/UW 0 56 0 0 0 127 127 127 0 0 0 expression 1 longLabel HBMEC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HBMEC 1\
subGroups cellType=t3HBMEC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHbmecSimpleSignalRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Il200AlignsRep2V2 HeLa 2x75 A 2 bam HeLa-S3 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 56 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HeLa 2x75 A 2\
subGroups view=Aligns cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Il200AlignsRep2V2\
type bam\
wgEncodeOpenChromChipHepg2InputSig HepG2 Input DS bigWig 0.000000 5.315900 HepG2 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 56 189 0 157 222 127 206 1 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HepG2 Input DS\
subGroups treatment=AANONE view=SIG factor=zCTRL cellType=t2HEPG2\
track wgEncodeOpenChromChipHepg2InputSig\
type bigWig 0.000000 5.315900\
wgEncodeAwgDnaseUwdukeHmecUniPk HMEC DNase narrowPeak HMEC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 56 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMEC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMEC DNase\
subGroups tier=a30 cellType=HMEC\
track wgEncodeAwgDnaseUwdukeHmecUniPk\
wgEncodeUwRepliSeqImr90G2PctSignalRep1 IMR90 G2 1 bigWig 1.000000 100.000000 IMR90 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 56 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel IMR90 G2 1\
subGroups view=v1PctSignal cellType=t2IMR90 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqImr90G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqJurkatAlnRep2 Jurkat 2 bam Jurkat RNA-seq Alignments Replicate 2 from ENCODE/HAIB 0 56 0 0 0 127 127 127 0 0 0 expression 1 longLabel Jurkat RNA-seq Alignments Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel Jurkat 2\
subGroups view=Alignments cellType=t3JURKAT treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqJurkatAlnRep2\
type bam\
wgEncodeRikenCageK562ChromatinTotalAln K562 chrm tot A 1 bam K562 chromatin total CAGE Alignments Rep 1 from ENCODE/RIKEN 0 56 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 chromatin total CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 chrm tot A 1\
subGroups view=Alignments cellType=t1K562 localization=chromatin rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562ChromatinTotalAln\
type bam\
wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapPlusRawRep4 K562 nlus TAP + 2 bigWig 1.000000 1283816.000000 K562 TAP-only nucleolus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 56 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleolus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nlus TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEOLUS protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleolusShorttotalTapPlusRawRep4\
type bigWig 1.000000 1283816.000000\
wgEncodeUwDnaseLhcnm2Diff4dRawRep2 LHCNM2 dif4d Sg 2 bigWig 1.000000 91784.000000 LHCN-M2 DIFF 4 d DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 56 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DIFF 4 d DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel LHCNM2 dif4d Sg 2\
subGroups view=zRSig cellType=t2LHCNM2 treatment=DIFF4D rep=rep2\
track wgEncodeUwDnaseLhcnm2Diff4dRawRep2\
type bigWig 1.000000 91784.000000\
wgEncodeHaibGenotypeLncapRegionsRep1 LNCaP 1 bed 9 + LNCaP Copy number variants Replicate 1 from ENCODE/HAIB 0 56 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LNCaP Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel LNCaP 1\
subGroups cellType=t3LNCAP obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeLncapRegionsRep1\
type bed 9 +\
wgEncodeOpenChromDnaseMcf7RandshrnaSig MCF7 shRNACtrl DS bigWig 0.000000 1.001000 MCF-7 Randomized shRNA Control DNaseI HS Density Signal from ENCODE/Duke 2 56 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Randomized shRNA Control DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel MCF7 shRNACtrl DS\
subGroups view=SIG cellType=t2MCF7 treatment=RANDSHRNA\
track wgEncodeOpenChromDnaseMcf7RandshrnaSig\
type bigWig 0.000000 1.001000\
wgEncodeHaibMethyl450ProgfibSitesRep1 ProgFib bed 9 ProgFib Methylation 450K Bead Array from ENCODE/HAIB 1 56 0 0 0 127 127 127 0 0 0 regulation 1 longLabel ProgFib Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel ProgFib\
subGroups cellType=t3PROGFIB obtainedBy=DUKE treatment=zNONE\
track wgEncodeHaibMethyl450ProgfibSitesRep1\
type bed 9\
wgEncodeSydhHistoneU2osH3k36me3bUcdSig U2OS H3K36me3 bigWig 1.000000 12731.000000 U2OS H3K36me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 56 0 0 0 127 127 127 0 0 0 regulation 0 longLabel U2OS H3K36me3 Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
parent wgEncodeSydhHistoneViewSignal on\
shortLabel U2OS H3K36me3\
subGroups view=Signal factor=H3K36me3B cellType=cU2OS control=UCD treatment=NONE\
track wgEncodeSydhHistoneU2osH3k36me3bUcdSig\
type bigWig 1.000000 12731.000000\
wgEncodeGisRnaPetA549NucleusPapAlnRep4 A549 nucl pA+ A 4 bam A549 nucleus polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS 0 57 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 nucleus polyA+ clone-free RNA PET Alignments Rep 4 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel A549 nucl pA+ A 4\
subGroups view=v3Alignments cellType=bA549 cloned=Free localization=nucleus rnaExtract=PAP rep=rep4 rank=rank2\
track wgEncodeGisRnaPetA549NucleusPapAlnRep4\
type bam\
encTfChipPkENCFF970AVM AG04449 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in AG04449 from ENCODE 3 (ENCFF970AVM) 1 57 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in AG04449 from ENCODE 3 (ENCFF970AVM)\
parent encTfChipPk off\
shortLabel AG04449 CTCF\
subGroups cellType=AG04449 factor=CTCF\
track encTfChipPkENCFF970AVM\
wgEncodeUwTfbsAg04449CtcfStdPkRep2 AG49 CTCF Pk 2 narrowPeak AG04449 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 57 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG49 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AG04449 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdPkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_ctss_fwd AorticSmsToIL1b_00hr15minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_forward 0 57 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep1%20%28LK34%29.CNhs13350.12653-134H7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12653-134H7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_tpm_fwd AorticSmsToIL1b_00hr15minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_forward 1 57 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep1%20%28LK34%29.CNhs13350.12653-134H7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12653-134H7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonFibropag08395SimpleSignalRep1 FibroP_AG08395 1 bigBed 6 + FibroP (AG08395) Exon array Signal Rep 1 from ENCODE/Duke 0 57 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08395) Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08395 1\
subGroups cellType=t3FIBROPAG08395 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonFibropag08395SimpleSignalRep1\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Pol3UniPk GM12878 POLR3G narrowPeak GM12878 TFBS Uniform Peaks of Pol3 from ENCODE/Yale/Analysis 1 57 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Pol3 from ENCODE/Yale/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POLR3G\
subGroups tier=a10 cellType=a10GM12878 factor=POLR3G lab=Yale\
track wgEncodeAwgTfbsSydhGm12878Pol3UniPk\
wgEncodeOpenChromFaireGm12891BaseOverlapSignal GM12891 FAIRE OS bigWig 0.000000 1602.000000 GM12891 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 57 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM12891 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel GM12891 FAIRE OS\
subGroups view=SIGBO cellType=t3GM12891 treatment=AANONE\
track wgEncodeOpenChromFaireGm12891BaseOverlapSignal\
type bigWig 0.000000 1602.000000\
wgEncodeHaibMethylRrbsGm19239DukeSitesRep1 GM19239 1 bed 9 + GM19239 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 57 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19239 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM19239 1\
subGroups cellType=t3GM19239 obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm19239DukeSitesRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878GabpPcr2xPkRep2 GM78 GABP PCR2 2 broadPeak GM12878 GABP PCR2x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 57 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 GABP PCR2x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks on\
shortLabel GM78 GABP PCR2 2\
subGroups view=Peaks factor=GABP cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878GabpPcr2xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878P300bStdPk GM78 p300 Std narrowPeak GM12878 p300 SC584 Standard ChIP-seq Peaks from ENCODE/SYDH 3 57 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 p300 SC584 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 p300 Std\
subGroups view=Peaks factor=P300SC584 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300bStdPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescH4k20me1StdSig H1-hESC H4K20m1 bigWig 0.040000 23103.880859 H1-hESC H4K20me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 57 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC H4K20me1 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC H4K20m1\
subGroups view=Signal factor=H4K20ME1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescH4k20me1StdSig\
type bigWig 0.040000 23103.880859\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaAlnRep1 H1hSC cel pA- A 1 bam H1-hESC whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 57 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cel pA- A 1\
subGroups view=Alignments cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaAlnRep1\
type bam\
wgEncodeUwDgfHaspHotspots HA-sp Hot broadPeak HA-sp DNaseI DGF Hotspots from ENCODE/UW 0 57 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HA-sp DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HA-sp Hot\
subGroups view=Hotspots cellType=t3HAASP treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaspHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHbmecSimpleSignalRep2 HBMEC 2 broadPeak HBMEC Exon array Signal Rep 2 from ENCODE/UW 0 57 0 0 0 127 127 127 0 0 0 expression 1 longLabel HBMEC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HBMEC 2\
subGroups cellType=t3HBMEC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHbmecSimpleSignalRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Th1014Il200SigRep1V4 HeLa 2x75 Sg 1 bigWig 0.024300 59610.000000 HeLa-S3 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 57 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HeLa 2x75 Sg 1\
subGroups view=Signal cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Th1014Il200SigRep1V4\
type bigWig 0.024300 59610.000000\
wgEncodeUwHistoneHelas3H3k4me3StdHotspotsRep1 HeLa H3K4M3 Ht 1 broadPeak HeLa-S3 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 57 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdHotspotsRep1\
type broadPeak\
wgEncodeAwgDnaseUwHmfUniPk HMF DNase narrowPeak HMF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 57 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMF DNase\
subGroups tier=a30 cellType=HMF\
track wgEncodeAwgDnaseUwHmfUniPk\
wgEncodeOpenChromChipHuvecCmycPk HUVEC cMyc Pk narrowPeak HUVEC cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 57 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HUVEC cMyc Pk\
subGroups treatment=AANONE view=Peaks factor=CMYC cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCmycPk\
type narrowPeak\
wgEncodeUwRepliSeqImr90PkRep1 IMR90 Pk 1 bed 9 IMR90 Repli-seq Peaks Rep 1 from ENCODE/UW 0 57 0 0 0 127 127 127 1 0 0 regulation 1 longLabel IMR90 Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel IMR90 Pk 1\
subGroups view=v2Peaks cellType=t2IMR90 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqImr90PkRep1\
type bed 9\
wgEncodeRikenCageK562CytosolPamTssHmmV2 K562 cyto pA- bed 6 K562 cytosol polyA- CAGE TSS HMM from ENCODE/RIKEN 3 57 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA- CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm on\
shortLabel K562 cyto pA-\
subGroups view=TssHmm cellType=t1K562 localization=cytosol rnaExtract=pAM rep=rep0 rank=rankP\
track wgEncodeRikenCageK562CytosolPamTssHmmV2\
type bed 6\
wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapContigs K562 nplm TAP C bed 6 K562 TAP-only nucleoplasm small RNA-seq Contigs from ENCODE/CSHL 2 57 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only nucleoplasm small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel K562 nplm TAP C\
subGroups view=Contigs cellType=t1K562 localization=NUCLEOPLASM protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapContigs\
type bed 6\
wgEncodeUwDnaseLhcnm2RawRep2 LHCNM2 Sg 2 bigWig 1.000000 59976.000000 LHCN-M2 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 57 0 0 0 127 127 127 0 0 0 regulation 0 longLabel LHCN-M2 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel LHCNM2 Sg 2\
subGroups view=zRSig cellType=t2LHCNM2 treatment=None rep=rep2\
track wgEncodeUwDnaseLhcnm2RawRep2\
type bigWig 1.000000 59976.000000\
wgEncodeHaibGenotypeMcf10aesRegionsRep1 MCF10A-Er-Src 1 bed 9 + MCF10A-Er-Src Copy number variants Replicate 1 from ENCODE/HAIB 0 57 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF10A-Er-Src Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF10A-Er-Src 1\
subGroups cellType=t3MCF10AERSRC obtainedBy=Stanford treatment=None rep=rep1\
track wgEncodeHaibGenotypeMcf10aesRegionsRep1\
type bed 9 +\
wgEncodeOpenChromDnaseMcf7RandshrnaBaseOverlapSignal MCF7 shRNACtrl OS bigWig 0.000000 352.000000 MCF-7 Randomized shRNA Control DNaseI HS Overlap Signal from ENCODE/Duke 2 57 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Randomized shRNA Control DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel MCF7 shRNACtrl OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=RANDSHRNA\
track wgEncodeOpenChromDnaseMcf7RandshrnaBaseOverlapSignal\
type bigWig 0.000000 352.000000\
wgEncodeHaibRnaSeqPanc1RawRep1 PANC-1 1 bigWig 0.137402 1973.189941 PANC-1 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 57 0 0 0 127 127 127 0 0 0 expression 0 longLabel PANC-1 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel PANC-1 1\
subGroups view=RawSignal cellType=t3PANC1 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqPanc1RawRep1\
type bigWig 0.137402 1973.189941\
pgHG00733 PUR daughter '733 pgSnp PUR Trio Daughter HG00733 (Complete Genomics) 0 57 128 64 0 191 159 127 0 0 0 varRep 1 color 128,64,0\
longLabel PUR Trio Daughter HG00733 (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR daughter '733\
subGroups view=C_CG id=CC_PUR_733 type=SNP\
track pgHG00733\
wgEncodeHaibMethyl450RptecSitesRep1 RPTEC bed 9 RPTEC Methylation 450K Bead Array from ENCODE/HAIB 1 57 0 0 0 127 127 127 0 0 0 regulation 1 longLabel RPTEC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel RPTEC\
subGroups cellType=t3RPTEC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450RptecSitesRep1\
type bed 9\
wgEncodeSydhHistoneU2osInputUcdSig U2OS Input bigWig 0.000000 11117.500000 U2OS Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH 2 57 0 0 0 127 127 127 0 0 0 regulation 0 longLabel U2OS Input Histone Modifications by ChIP-Seq Signal from ENCODE/SYDH\
origAssembly hg18\
parent wgEncodeSydhHistoneViewSignal off\
shortLabel U2OS Input\
subGroups view=Signal factor=INPUT cellType=cU2OS control=UCD treatment=NONE\
track wgEncodeSydhHistoneU2osInputUcdSig\
type bigWig 0.000000 11117.500000\
encTfChipPkENCFF681OWQ AG04450 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in AG04450 from ENCODE 3 (ENCFF681OWQ) 1 58 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in AG04450 from ENCODE 3 (ENCFF681OWQ)\
parent encTfChipPk off\
shortLabel AG04450 CTCF\
subGroups cellType=AG04450 factor=CTCF\
track encTfChipPkENCFF681OWQ\
wgEncodeUwTfbsAg04449CtcfStdRawRep2 AG49 CTCF Sg 2 bigWig 1.000000 14258.000000 AG04449 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 58 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04449 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG49 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AG04449 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04449CtcfStdRawRep2\
type bigWig 1.000000 14258.000000\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_ctss_rev AorticSmsToIL1b_00hr15minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_reverse 0 58 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep1%20%28LK34%29.CNhs13350.12653-134H7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12653-134H7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_tpm_rev AorticSmsToIL1b_00hr15minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_reverse 1 58 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep1%20%28LK34%29.CNhs13350.12653-134H7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep1 (LK34)_CNhs13350_12653-134H7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12653-134H7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep1LK34_CNhs13350_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12653-134H7\
urlLabel FANTOM5 Details:\
wgEncodeDukeAffyExonFibropag08395SimpleSignalRep2 FibroP_AG08395 2 bigBed 6 + FibroP (AG08395) Exon array Signal Rep 2 from ENCODE/Duke 0 58 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08395) Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08395 2\
subGroups cellType=t3FIBROPAG08395 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonFibropag08395SimpleSignalRep2\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878Pou2f2Pcr1xUniPk GM12878 POU2F2 narrowPeak GM12878 TFBS Uniform Peaks of POU2F2 from ENCODE/HudsonAlpha/Analysis 1 58 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of POU2F2 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 POU2F2\
subGroups tier=a10 cellType=a10GM12878 factor=POU2F2 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pou2f2Pcr1xUniPk\
wgEncodeOpenChromFaireGm12892Pk GM12892 FAIRE Pk narrowPeak GM12892 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 58 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM12892 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel GM12892 FAIRE Pk\
subGroups view=Peaks cellType=t3GM12892 treatment=AANONE\
track wgEncodeOpenChromFaireGm12892Pk\
type narrowPeak\
wgEncodeHaibMethylRrbsGm19239DukeSitesRep2 GM19239 2 bed 9 + GM19239 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 58 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19239 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM19239 2\
subGroups cellType=t3GM19239 obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm19239DukeSitesRep2\
type bed 9 +\
wgEncodeHaibTfbsGm12878GabpPcr2xRawRep2 GM78 GABP PCR2 2 bigWig 0.102584 210.141998 GM12878 GABP PCR2x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 58 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 GABP PCR2x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal on\
shortLabel GM78 GABP PCR2 2\
subGroups view=RawSignal factor=GABP cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878GabpPcr2xRawRep2\
type bigWig 0.102584 210.141998\
wgEncodeSydhTfbsGm12878P300bStdSig GM78 p300 Std bigWig 1.000000 5365.000000 GM12878 p300 SC584 Standard ChIP-seq Signal from ENCODE/SYDH 2 58 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 p300 SC584 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 p300 Std\
subGroups view=Signal factor=P300SC584 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878P300bStdSig\
type bigWig 1.000000 5365.000000\
wgEncodeBroadHistoneH1hescHdac2a300705aPk H1-hESC HDAC2 broadPeak H1-hESC HDAC2 (A300-705A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 58 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC HDAC2 (A300-705A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC HDAC2\
subGroups view=Peaks factor=HDAC2A300705A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescHdac2a300705aPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaAlnRep2 H1hSC cel pA- A 2 bam H1-hESC whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 58 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cel pA- A 2\
subGroups view=Alignments cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaAlnRep2\
type bam\
wgEncodeUwDgfHaspPk HA-sp Pk narrowPeak HA-sp DNaseI DGF Peaks from ENCODE/UW 0 58 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HA-sp DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HA-sp Pk\
subGroups view=Peaks cellType=t3HAASP treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaspPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHbvpSimpleSignalRep1 HBVP 1 broadPeak HBVP Exon-array Signal Rep 1 from ENCODE/UW 0 58 0 0 0 127 127 127 0 0 0 expression 1 longLabel HBVP Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HBVP 1\
subGroups cellType=t3HBVP rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHbvpSimpleSignalRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Th1014Il200SigRep2V4 HeLa 2x75 Sg 2 bigWig 0.021200 80230.414062 HeLa-S3 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 58 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HeLa 2x75 Sg 2\
subGroups view=Signal cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Th1014Il200SigRep2V4\
type bigWig 0.021200 80230.414062\
wgEncodeGisRnaPetHelas3CellPapClustersRep1 HeLa cell pA+ 1 bed 6 + HeLa-S3 whole cell polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 58 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 whole cell polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HeLa cell pA+ 1\
subGroups view=v1Clusters cellType=bHELAS3 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CellPapClustersRep1\
type bed 6 +\
wgEncodeUwHistoneHelas3H3k4me3StdPkRep1 HeLa H3K4M3 Pk 1 narrowPeak HeLa-S3 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 58 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdPkRep1\
type narrowPeak\
wgEncodeAwgDnaseUwHmveclblUniPk HMVEC-LBl DNase narrowPeak HMVEC-LBl DNaseI HS Uniform Peaks from ENCODE/Analysis 1 58 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-LBl DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-LBl DNase\
subGroups tier=a30 cellType=HMVEC-LBl\
track wgEncodeAwgDnaseUwHmveclblUniPk\
wgEncodeOpenChromChipHuvecCmycSig HUVEC cMyc DS bigWig 0.000000 2.169800 HUVEC cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 58 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HUVEC cMyc DS\
subGroups treatment=AANONE view=SIG factor=CMYC cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCmycSig\
type bigWig 0.000000 2.169800\
wgEncodeUwRepliSeqImr90ValleysRep1 IMR90 Vly 1 bed 9 IMR90 Repli-seq Valleys Rep 1 from ENCODE/UW 0 58 0 0 0 127 127 127 1 0 0 regulation 1 longLabel IMR90 Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel IMR90 Vly 1\
subGroups view=v3Valleys cellType=t2IMR90 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqImr90ValleysRep1\
type bed 9\
wgEncodeRikenCageK562CytosolPamPlusSignal K562 cyto pA- + 1 bigWig 0.120000 6131.720215 K562 cytosol polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 58 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal on\
shortLabel K562 cyto pA- + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562CytosolPamPlusSignal\
type bigWig 0.120000 6131.720215\
wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapMinusRawRep3 K562 nplm TAP - 1 bigWig 1.000000 2388836.000000 K562 TAP-only nucleoplasm small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 58 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleoplasm small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nplm TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEOPLASM protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapMinusRawRep3\
type bigWig 1.000000 2388836.000000\
wgEncodeHaibGenotypeMcf10aesRegionsRep2 MCF10A-Er-Src 2 bed 9 + MCF10A-Er-Src Copy number variants Replicate 2 from ENCODE/HAIB 0 58 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF10A-Er-Src Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF10A-Er-Src 2\
subGroups cellType=t3MCF10AERSRC obtainedBy=Stanford treatment=None rep=rep2\
track wgEncodeHaibGenotypeMcf10aesRegionsRep2\
type bed 9 +\
wgEncodeUwDnaseMcf7Est100nm1hHotspotsRep1 MCF7 Est1h Ht 1 broadPeak MCF-7 Estradiol 100 nM 1 hr DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 58 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS HotSpots Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 Est1h Ht 1\
subGroups view=Hot cellType=t2MCF7 treatment=EST100NM1H rep=rep1\
track wgEncodeUwDnaseMcf7Est100nm1hHotspotsRep1\
type broadPeak\
wgEncodeOpenChromDnaseMcf7Pk MCF7 Pk narrowPeak MCF-7 DNaseI HS Peaks from ENCODE/Duke 3 58 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel MCF7 Pk\
subGroups view=Peaks cellType=t2MCF7 treatment=zNONE\
track wgEncodeOpenChromDnaseMcf7Pk\
type narrowPeak\
wgEncodeHaibRnaSeqPanc1AlnRep1 PANC-1 1 bam PANC-1 RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 58 0 0 0 127 127 127 0 0 0 expression 1 longLabel PANC-1 RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel PANC-1 1\
subGroups view=Alignments cellType=t3PANC1 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqPanc1AlnRep1\
type bam\
pgHG00733indel PUR HG00733 indel pgSnp PUR HG00733 (Daughter) indel (Complete Genomics) 0 58 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PUR HG00733 (Daughter) indel (Complete Genomics)\
parent pgSnpCg\
shortLabel PUR HG00733 indel\
subGroups view=C_CG id=CC_PUR_733 type=Indel\
track pgHG00733indel\
wgEncodeHaibMethyl450SaecSitesRep1 SAEC bed 9 SAEC Methylation 450K Bead Array from ENCODE/HAIB 1 58 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SAEC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel SAEC\
subGroups cellType=t3SAEC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450SaecSitesRep1\
type bed 9\
encTfChipPkENCFF622DUX AG09309 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in AG09309 from ENCODE 3 (ENCFF622DUX) 1 59 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in AG09309 from ENCODE 3 (ENCFF622DUX)\
parent encTfChipPk off\
shortLabel AG09309 CTCF\
subGroups cellType=AG09309 factor=CTCF\
track encTfChipPkENCFF622DUX\
wgEncodeUwTfbsAg04449InputStdRawRep1 AG49 In Sg 1 bigWig 1.000000 14656.000000 AG04449 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 59 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04449 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG49 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AG04449 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04449InputStdRawRep1\
type bigWig 1.000000 14656.000000\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_ctss_fwd AorticSmsToIL1b_00hr15minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_forward 0 59 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep2%20%28LK35%29.CNhs13370.12751-136A6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12751-136A6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_tpm_fwd AorticSmsToIL1b_00hr15minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_forward 1 59 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep2%20%28LK35%29.CNhs13370.12751-136A6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12751-136A6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6\
urlLabel FANTOM5 Details:\
pgNA18526 CHB NA18526 pgSnp CHB NA18526 (Complete Genomics) 0 59 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18526 (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18526\
subGroups view=C_CG id=CC_div_GS18526 type=SNP\
track pgNA18526\
wgEncodeDukeAffyExonFibropag08395SimpleSignalRep3 FibroP_AG08395 3 bigBed 6 + FibroP (AG08395) Exon array Signal Rep 3 from ENCODE/Duke 0 59 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08395) Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08395 3\
subGroups cellType=t3FIBROPAG08395 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonFibropag08395SimpleSignalRep3\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878Rad21V0416101UniPk GM12878 RAD21 h narrowPeak GM12878 TFBS Uniform Peaks of Rad21 from ENCODE/HudsonAlpha/Analysis 1 59 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Rad21 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RAD21 h\
subGroups tier=a10 cellType=a10GM12878 factor=RAD21 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Rad21V0416101UniPk\
wgEncodeOpenChromFaireGm12892Sig GM12892 FAIRE DS bigWig 0.000000 0.395000 GM12892 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 59 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM12892 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel GM12892 FAIRE DS\
subGroups view=SIG cellType=t3GM12892 treatment=AANONE\
track wgEncodeOpenChromFaireGm12892Sig\
type bigWig 0.000000 0.395000\
wgEncodeHaibMethylRrbsGm19240DukeSitesRep1 GM19240 1 bed 9 + GM19240 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 59 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19240 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM19240 1\
subGroups cellType=t3GM19240 obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsGm19240DukeSitesRep1\
type bed 9 +\
wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xPkRep1 GM78 IRF4 PCR1 1 broadPeak GM12878 IRF4 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 59 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 IRF4 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 IRF4 PCR1 1\
subGroups view=Peaks factor=IRF4SC6059 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Pol2IggmusPk GM78 Pol2 IgM narrowPeak GM12878 Pol2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 59 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Pol2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 Pol2 IgM\
subGroups view=Peaks factor=POL2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescHdac2a300705aSig H1-hESC HDAC2 bigWig 0.040000 387.519989 H1-hESC HDAC2 (A300-705A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 59 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC HDAC2 (A300-705A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC HDAC2\
subGroups view=Signal factor=HDAC2A300705A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescHdac2a300705aSig\
type bigWig 0.040000 387.519989\
wgEncodeCshlLongRnaSeqH1hescCellPamContigs H1hSC cel pA- C bed 6 + H1-hESC whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 59 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC cel pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=CELL rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqH1hescCellPamContigs\
type bed 6 +\
wgEncodeUwDgfHaspSig HA-sp Sig bigWig 1.000000 92887.000000 HA-sp DNaseI DGF Per-base Signal from ENCODE/UW 2 59 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HA-sp DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HA-sp Sig\
subGroups view=Signal cellType=t3HAASP treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaspSig\
type bigWig 1.000000 92887.000000\
wgEncodeUwAffyExonArrayHbvsmcSimpleSignalRep1 HBVSMC 1 broadPeak HBVSMC Exon-array Signal Rep 1 from ENCODE/UW 0 59 0 0 0 127 127 127 0 0 0 expression 1 longLabel HBVSMC Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HBVSMC 1\
subGroups cellType=t3HBVSMC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHbvsmcSimpleSignalRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Il200SplicesRep1V2 HeLa 2x75 Sp 1 bam HeLa-S3 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 59 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HeLa 2x75 Sp 1\
subGroups view=Splices cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Il200SplicesRep1V2\
type bam\
wgEncodeGisRnaPetHelas3CellPapMinusRawRep1 HeLa cell pA+ - 1 bigWig 1.000000 938357.000000 HeLa-S3 whole cell polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 59 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 whole cell polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HeLa cell pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHELAS3 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CellPapMinusRawRep1\
type bigWig 1.000000 938357.000000\
wgEncodeUwHistoneHelas3H3k4me3StdRawRep1 HeLa H3K4M3 Sg 1 bigWig 1.000000 3307.000000 HeLa-S3 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 59 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdRawRep1\
type bigWig 1.000000 3307.000000\
wgEncodeAwgDnaseUwHmvecllyUniPk HMVEC-LLy DNase narrowPeak HMVEC-LLy DNaseI HS Uniform Peaks from ENCODE/Analysis 1 59 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-LLy DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-LLy DNase\
subGroups tier=a30 cellType=HMVEC-LLy\
track wgEncodeAwgDnaseUwHmvecllyUniPk\
wgEncodeOpenChromChipHuvecCmycBaseOverlapSignal HUVEC cMyc OS bigWig 0.000000 530.000000 HUVEC cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 59 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HUVEC cMyc OS\
subGroups treatment=AANONE view=SIGBO factor=CMYC cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCmycBaseOverlapSignal\
type bigWig 0.000000 530.000000\
wgEncodeUwRepliSeqImr90WaveSignalRep1 IMR90 Ws 1 bigWig -4.765058 90.173477 IMR90 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 59 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal off\
shortLabel IMR90 Ws 1\
subGroups view=v4WaveSignal cellType=t2IMR90 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqImr90WaveSignalRep1\
type bigWig -4.765058 90.173477\
wgEncodeRikenCageK562CytosolPamMinusSignal K562 cyto pA- - 1 bigWig 0.120000 9517.360352 K562 cytosol polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 59 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal on\
shortLabel K562 cyto pA- - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562CytosolPamMinusSignal\
type bigWig 0.120000 9517.360352\
wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapMinusRawRep4 K562 nplm TAP - 2 bigWig 1.000000 3143187.000000 K562 TAP-only nucleoplasm small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 59 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleoplasm small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nplm TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEOPLASM protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapMinusRawRep4\
type bigWig 1.000000 3143187.000000\
wgEncodeHaibGenotypeMcf10aesRegionsRep3 MCF10A-Er-Src 3 bed 9 + MCF10A-Er-Src Copy number variants Replicate 3 from ENCODE/HAIB 0 59 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF10A-Er-Src Copy number variants Replicate 3 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF10A-Er-Src 3\
subGroups cellType=t3MCF10AERSRC obtainedBy=Stanford treatment=None rep=rep3\
track wgEncodeHaibGenotypeMcf10aesRegionsRep3\
type bed 9 +\
wgEncodeOpenChromDnaseMcf7Sig MCF7 DS bigWig 0.000000 0.624200 MCF-7 DNaseI HS Density Signal from ENCODE/Duke 2 59 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel MCF7 DS\
subGroups view=SIG cellType=t2MCF7 treatment=zNONE\
track wgEncodeOpenChromDnaseMcf7Sig\
type bigWig 0.000000 0.624200\
wgEncodeUwDnaseMcf7Estctrl0hHotspotsRep1 MCF7 EstCtrl Ht 1 broadPeak MCF-7 Estradiol Control 0 hr DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 59 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS HotSpots Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 EstCtrl Ht 1\
subGroups view=Hot cellType=t2MCF7 treatment=ESTCTRL0H rep=rep1\
track wgEncodeUwDnaseMcf7Estctrl0hHotspotsRep1\
type broadPeak\
wgEncodeHaibRnaSeqPanc1RawRep2 PANC-1 2 bigWig 0.146817 2090.860107 PANC-1 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 59 0 0 0 127 127 127 0 0 0 expression 0 longLabel PANC-1 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel PANC-1 2\
subGroups view=RawSignal cellType=t3PANC1 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqPanc1RawRep2\
type bigWig 0.146817 2090.860107\
wgEncodeHaibMethyl450SkmcSitesRep1 SKMC bed 9 SKMC Methylation 450K Bead Array from ENCODE/HAIB 1 59 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SKMC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel SKMC\
subGroups cellType=t3SKMC obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450SkmcSitesRep1\
type bed 9\
encTfChipPkENCFF245PXW AG09319 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in AG09319 from ENCODE 3 (ENCFF245PXW) 1 60 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in AG09319 from ENCODE 3 (ENCFF245PXW)\
parent encTfChipPk off\
shortLabel AG09319 CTCF\
subGroups cellType=AG09319 factor=CTCF\
track encTfChipPkENCFF245PXW\
wgEncodeUwTfbsAg04450CtcfStdHotspotsRep1 AG50 CTCF Ht 1 broadPeak AG04450 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 60 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG50 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AG04450 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdHotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_ctss_rev AorticSmsToIL1b_00hr15minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_reverse 0 60 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep2%20%28LK35%29.CNhs13370.12751-136A6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12751-136A6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_tpm_rev AorticSmsToIL1b_00hr15minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_reverse 1 60 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep2%20%28LK35%29.CNhs13370.12751-136A6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep2 (LK35)_CNhs13370_12751-136A6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12751-136A6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep2LK35_CNhs13370_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12751-136A6\
urlLabel FANTOM5 Details:\
pgNA18526indel CHB NA18526 indel pgSnp CHB NA18526 indel (Complete Genomics) 0 60 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18526 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18526 indel\
subGroups view=C_CG id=CC_div_GS18526 type=Indel\
track pgNA18526indel\
wgEncodeDukeAffyExonFibropag08396SimpleSignalRep1 FibroP_AG08396 1 bigBed 6 + FibroP (AG08396) Exon array Signal Rep 1 from ENCODE/Duke 0 60 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08396) Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08396 1\
subGroups cellType=t3FIBROPAG08396 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonFibropag08396SimpleSignalRep1\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Rad21IggrabUniPk GM12878 RAD21 s narrowPeak GM12878 TFBS Uniform Peaks of Rad21 from ENCODE/Stanford/Analysis 1 60 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Rad21 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RAD21 s\
subGroups tier=a10 cellType=a10GM12878 factor=RAD21 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Rad21IggrabUniPk\
wgEncodeOpenChromFaireGm12892BaseOverlapSignal GM12892 FAIRE OS bigWig 0.000000 1267.000000 GM12892 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 60 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM12892 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel GM12892 FAIRE OS\
subGroups view=SIGBO cellType=t3GM12892 treatment=AANONE\
track wgEncodeOpenChromFaireGm12892BaseOverlapSignal\
type bigWig 0.000000 1267.000000\
wgEncodeHaibMethylRrbsGm19240DukeSitesRep2 GM19240 2 bed 9 + GM19240 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 60 0 0 0 127 127 127 0 0 0 regulation 1 longLabel GM19240 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel GM19240 2\
subGroups cellType=t3GM19240 obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsGm19240DukeSitesRep2\
type bed 9 +\
wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xRawRep1 GM78 IRF4 PCR1 1 bigWig 0.188264 148.587006 GM12878 IRF4 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 60 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 IRF4 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 IRF4 PCR1 1\
subGroups view=RawSignal factor=IRF4SC6059 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xRawRep1\
type bigWig 0.188264 148.587006\
wgEncodeSydhTfbsGm12878Pol2IggmusSig GM78 Pol2 IgM bigWig 0.000000 21303.699219 GM12878 Pol2 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 60 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Pol2 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 Pol2 IgM\
subGroups view=Signal factor=POL2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2IggmusSig\
type bigWig 0.000000 21303.699219\
wgEncodeBroadHistoneH1hescHdac6a301341aPk H1-hESC HDAC6 broadPeak H1-hESC HDAC6 (A301-341A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 60 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC HDAC6 (A301-341A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC HDAC6\
subGroups view=Peaks factor=HDAC6A301341A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescHdac6a301341aPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellPamJunctions H1hSC cel pA- J bed 6 + H1-hESC whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 60 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC cel pA- J\
subGroups view=Junctions cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescCellPamJunctions\
type bed 6 +\
wgEncodeUwDgfHaspRaw HA-sp Raw bigWig 1.000000 218346.000000 HA-sp DNaseI DGF Raw Signal from ENCODE/UW 0 60 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HA-sp DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HA-sp Raw\
subGroups view=zRaw cellType=t3HAASP treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaspRaw\
type bigWig 1.000000 218346.000000\
wgEncodeUwAffyExonArrayHbvsmcSimpleSignalRep2 HBVSMC 2 broadPeak HBVSMC Exon-array Signal Rep 2 from ENCODE/UW 0 60 0 0 0 127 127 127 0 0 0 expression 1 longLabel HBVSMC Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HBVSMC 2\
subGroups cellType=t3HBVSMC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHbvsmcSimpleSignalRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R2x75Il200SplicesRep2V2 HeLa 2x75 Sp 2 bam HeLa-S3 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 60 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HeLa 2x75 Sp 2\
subGroups view=Splices cellType=t2HELAS3 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R2x75Il200SplicesRep2V2\
type bam\
wgEncodeGisRnaPetHelas3CellPapPlusRawRep1 HeLa cell pA+ + 1 bigWig 1.000000 771912.000000 HeLa-S3 whole cell polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 60 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 whole cell polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HeLa cell pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHELAS3 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CellPapPlusRawRep1\
type bigWig 1.000000 771912.000000\
wgEncodeUwHistoneHelas3H3k4me3StdHotspotsRep2 HeLa H3K4M3 Ht 2 broadPeak HeLa-S3 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 60 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdHotspotsRep2\
type broadPeak\
wgEncodeAwgDnaseUwHmvecdadUniPk HMVEC-dAd DNase narrowPeak HMVEC-dAd DNaseI HS Uniform Peaks from ENCODE/Analysis 1 60 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dAd DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dAd DNase\
subGroups tier=a30 cellType=HMVEC-dAd\
track wgEncodeAwgDnaseUwHmvecdadUniPk\
wgEncodeOpenChromChipHuvecCtcfPk HUVEC CTCF Pk narrowPeak HUVEC CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 60 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HUVEC CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCtcfPk\
type narrowPeak\
wgEncodeUwRepliSeqImr90SumSignalRep1 IMR90 Sd 1 bigWig 1.000000 1949.000000 IMR90 Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 60 0 0 0 127 127 127 0 0 0 regulation 0 longLabel IMR90 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel IMR90 Sd 1\
subGroups view=v5SumSignal cellType=t2IMR90 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqImr90SumSignalRep1\
type bigWig 1.000000 1949.000000\
wgEncodeRikenCageK562CytosolPamAln K562 cyto pA- A 1 bam K562 cytosol polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 60 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 cyto pA- A 1\
subGroups view=Alignments cellType=t1K562 localization=cytosol rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562CytosolPamAln\
type bam\
wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapPlusRawRep3 K562 nplm TAP + 1 bigWig 1.000000 889514.000000 K562 TAP-only nucleoplasm small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 60 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleoplasm small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nplm TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEOPLASM protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapPlusRawRep3\
type bigWig 1.000000 889514.000000\
wgEncodeHaibGenotypeMcf10aesTamRegionsRep1 MCF10A Tam 1 bed 9 + MCF10A-Er-Src Tamoxifen Copy number variants Replicate 1 from ENCODE/HAIB 0 60 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MCF10A-Er-Src Tamoxifen Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel MCF10A Tam 1\
subGroups cellType=t3MCF10AESTAM obtainedBy=Stanford treatment=TAM rep=rep1\
track wgEncodeHaibGenotypeMcf10aesTamRegionsRep1\
type bed 9 +\
wgEncodeUwDnaseMcf7HotspotsRep1 MCF7 Ht 1 broadPeak MCF-7 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 60 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 Ht 1\
subGroups view=Hot cellType=t2MCF7 rep=rep1 treatment=None\
track wgEncodeUwDnaseMcf7HotspotsRep1\
type broadPeak\
wgEncodeOpenChromDnaseMcf7BaseOverlapSignal MCF7 OS bigWig 0.000000 198.000000 MCF-7 DNaseI HS Overlap Signal from ENCODE/Duke 2 60 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel MCF7 OS\
subGroups view=SIGBO cellType=t2MCF7 treatment=zNONE\
track wgEncodeOpenChromDnaseMcf7BaseOverlapSignal\
type bigWig 0.000000 198.000000\
wgEncodeHaibRnaSeqPanc1AlnRep2 PANC-1 2 bam PANC-1 RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 60 0 0 0 127 127 127 0 0 0 expression 1 longLabel PANC-1 RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel PANC-1 2\
subGroups view=Alignments cellType=t3PANC1 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqPanc1AlnRep2\
type bam\
wgEncodeHaibMethyl450SknmcSitesRep1 SK-N-MC bed 9 SK-N-MC Methylation 450K Bead Array from ENCODE/HAIB 1 60 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SK-N-MC Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel SK-N-MC\
subGroups cellType=t3SKNMC obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450SknmcSitesRep1\
type bed 9\
encTfChipPkENCFF746CIL AG10803 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in AG10803 from ENCODE 3 (ENCFF746CIL) 1 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in AG10803 from ENCODE 3 (ENCFF746CIL)\
parent encTfChipPk off\
shortLabel AG10803 CTCF\
subGroups cellType=AG10803 factor=CTCF\
track encTfChipPkENCFF746CIL\
wgEncodeUwTfbsAg04450CtcfStdPkRep1 AG50 CTCF Pk 1 narrowPeak AG04450 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG50 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AG04450 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdPkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_ctss_fwd AorticSmsToIL1b_00hr15minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_forward 0 61 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep3%20%28LK36%29.CNhs13578.12849-137C5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12849-137C5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_tpm_fwd AorticSmsToIL1b_00hr15minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_forward 1 61 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep3%20%28LK36%29.CNhs13578.12849-137C5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12849-137C5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseMonocd14Pk CD14 Pk narrowPeak Monocytes CD14+ DNaseI HS Peaks from ENCODE/Duke 3 61 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Monocytes CD14+ DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel CD14 Pk\
subGroups view=Peaks cellType=t2MONOCYTESCD14 treatment=zNONE\
track wgEncodeOpenChromDnaseMonocd14Pk\
type narrowPeak\
pgNA18537 CHB NA18537 pgSnp CHB NA18537 (Complete Genomics) 0 61 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18537 (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18537\
subGroups view=C_CG id=CC_div_GS18537 type=SNP\
track pgNA18537\
wgEncodeDukeAffyExonFibropag08396SimpleSignalRep2 FibroP_AG08396 2 bigBed 6 + FibroP (AG08396) Exon array Signal Rep 2 from ENCODE/Duke 0 61 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08396) Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08396 2\
subGroups cellType=t3FIBROPAG08396 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonFibropag08396SimpleSignalRep2\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Corestsc30189IggmusUniPk GM12878 RCOR1 narrowPeak GM12878 TFBS Uniform Peaks of COREST_(sc-30189) from ENCODE/Stanford/Analysis 1 61 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of COREST_(sc-30189) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RCOR1\
subGroups tier=a10 cellType=a10GM12878 factor=RCOR1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Corestsc30189IggmusUniPk\
wgEncodeOpenChromFaireGm18507Pk GM18507 FAIRE Pk narrowPeak GM18507 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 61 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM18507 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel GM18507 FAIRE Pk\
subGroups view=Peaks cellType=t3GM18507 treatment=AANONE\
track wgEncodeOpenChromFaireGm18507Pk\
type narrowPeak\
wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xPkRep2 GM78 IRF4 PCR1 2 broadPeak GM12878 IRF4 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 61 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 IRF4 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 IRF4 PCR1 2\
subGroups view=Peaks factor=IRF4SC6059 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Pol2StdPk GM78 Pol2 Std narrowPeak GM12878 Pol2 Standard ChIP-seq Peaks from ENCODE/SYDH 3 61 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Pol2 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 Pol2 Std\
subGroups view=Peaks factor=POL2 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2StdPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescHdac6a301341aSig H1-hESC HDAC6 bigWig 0.040000 383.880005 H1-hESC HDAC6 (A301-341A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 61 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC HDAC6 (A301-341A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC HDAC6\
subGroups view=Signal factor=HDAC6A301341A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescHdac6a301341aSig\
type bigWig 0.040000 383.880005\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaMinusRawSigRep1 H1hSC cel pA- - 1 bigWig 1.000000 764531.000000 H1-hESC whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 61 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cel pA- - 1\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaMinusRawSigRep1\
type bigWig 1.000000 764531.000000\
wgEncodeHaibMethylRrbsHaeUwSitesRep1 HAEpiC 1 bed 9 + HAEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HAEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HAEpiC 1\
subGroups cellType=t3HAEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHaeUwSitesRep1\
type bed 9 +\
wgEncodeUwDgfHaeHotspots HAEpiC Hot broadPeak HAEpiC DNaseI DGF Hotspots from ENCODE/UW 0 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HAEpiC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HAEpiC Hot\
subGroups view=Hotspots cellType=t3HAEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaeHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHcfSimpleSignalRep1 HCF 1 broadPeak HCF Exon array Signal Rep 1 from ENCODE/UW 0 61 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCF Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCF 1\
subGroups cellType=t3HCF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHcfSimpleSignalRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R1x75dAlignsRep1V2 HeLa 1x75D A 1 bam HeLa-S3 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 61 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HeLa 1x75D A 1\
subGroups view=Aligns cellType=t2HELAS3 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dAlignsRep1V2\
type bam\
wgEncodeGisRnaPetHelas3CellPapAlnRep1 HeLa cell pA+ A 1 bam HeLa-S3 whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 61 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HeLa cell pA+ A 1\
subGroups view=v3Alignments cellType=bHELAS3 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CellPapAlnRep1\
type bam\
wgEncodeUwHistoneHelas3H3k4me3StdPkRep2 HeLa H3K4M3 Pk 2 narrowPeak HeLa-S3 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 61 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdPkRep2\
type narrowPeak\
wgEncodeAwgDnaseUwHmvecdbladUniPk HMVEC-dBl-A narrowPeak HMVEC-dBl-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis 1 61 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dBl-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dBl-A\
subGroups tier=a30 cellType=HMVEC-dBl-Ad\
track wgEncodeAwgDnaseUwHmvecdbladUniPk\
wgEncodeOpenChromChipHuvecCtcfSig HUVEC CTCF DS bigWig 0.000000 10.211700 HUVEC CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 61 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HUVEC CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCtcfSig\
type bigWig 0.000000 10.211700\
wgEncodeRikenCageK562CytosolPapTssHmm K562 cyto pA+ bed 6 K562 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 61 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm on\
shortLabel K562 cyto pA+\
subGroups view=TssHmm cellType=t1K562 localization=cytosol rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageK562CytosolPapTssHmm\
type bed 6\
wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapPlusRawRep4 K562 nplm TAP + 2 bigWig 1.000000 1228583.000000 K562 TAP-only nucleoplasm small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 61 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleoplasm small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nplm TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEOPLASM protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleoplasmShorttotalTapPlusRawRep4\
type bigWig 1.000000 1228583.000000\
wgEncodeUwRepliSeqMcf7G1bPctSignalRep1 MCF-7 G1b 1 bigWig 1.000000 100.000000 MCF-7 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 61 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 G1b 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqMcf7G1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7Est100nm1hPkRep1 MCF7 Est1h Pk 1 narrowPeak MCF-7 Estradiol 100 nM 1 hr DNaseI HS Peaks Rep 1 from ENCODE/UW 1 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 Est1h Pk 1\
subGroups view=Peaks cellType=t2MCF7 treatment=EST100NM1H rep=rep1\
track wgEncodeUwDnaseMcf7Est100nm1hPkRep1\
type narrowPeak\
wgEncodeHaibGenotypeMelanoRegionsRep1 Melano 1 bed 9 + Melano Copy number variants Replicate 1 from ENCODE/HAIB 0 61 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Melano Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Melano 1\
subGroups cellType=t3MELANO obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeMelanoRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqPfsk1RawRep1 PFSK-1 1 bigWig 0.149150 1066.459961 PFSK-1 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 61 0 0 0 127 127 127 0 0 0 expression 0 longLabel PFSK-1 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel PFSK-1 1\
subGroups view=RawSignal cellType=t3PFSK1 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqPfsk1RawRep1\
type bigWig 0.149150 1066.459961\
wgEncodeHaibMethyl450SknshraSitesRep1 SK-N-SH_RA bed 9 SK-N-SH_RA Methylation 450K Bead Array from ENCODE/HAIB 1 61 0 0 0 127 127 127 0 0 0 regulation 1 longLabel SK-N-SH_RA Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel SK-N-SH_RA\
subGroups cellType=t3SKNSHRA obtainedBy=UW treatment=zNONE\
track wgEncodeHaibMethyl450SknshraSitesRep1\
type bed 9\
wgEncodeUwTfbsAg04450CtcfStdRawRep1 AG50 CTCF Sg 1 bigWig 1.000000 13221.000000 AG04450 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 62 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04450 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG50 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AG04450 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdRawRep1\
type bigWig 1.000000 13221.000000\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_ctss_rev AorticSmsToIL1b_00hr15minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_reverse 0 62 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep3%20%28LK36%29.CNhs13578.12849-137C5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12849-137C5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr15minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_tpm_rev AorticSmsToIL1b_00hr15minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_reverse 1 62 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr15min%2c%20biol_rep3%20%28LK36%29.CNhs13578.12849-137C5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr15min, biol_rep3 (LK36)_CNhs13578_12849-137C5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12849-137C5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr15minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr15minBiolRep3LK36_CNhs13578_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12849-137C5\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF965BBC BE2C CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in BE2C from ENCODE 3 (ENCFF965BBC) 1 62 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in BE2C from ENCODE 3 (ENCFF965BBC)\
parent encTfChipPk off\
shortLabel BE2C CTCF\
subGroups cellType=BE2C factor=CTCF\
track encTfChipPkENCFF965BBC\
wgEncodeOpenChromDnaseMonocd14Sig CD14 DS bigWig 0.000000 2.037700 Monocytes CD14+ DNaseI HS Density Signal from ENCODE/Duke 2 62 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Monocytes CD14+ DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel CD14 DS\
subGroups view=SIG cellType=t2MONOCYTESCD14 treatment=zNONE\
track wgEncodeOpenChromDnaseMonocd14Sig\
type bigWig 0.000000 2.037700\
pgNA18537indel CHB NA18537 indel pgSnp CHB NA18537 indel (Complete Genomics) 0 62 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18537 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18537 indel\
subGroups view=C_CG id=CC_div_GS18537 type=Indel\
track pgNA18537indel\
wgEncodeDukeAffyExonFibropag08396SimpleSignalRep3 FibroP_AG08396 3 bigBed 6 + FibroP (AG08396) Exon array Signal Rep 3 from ENCODE/Duke 0 62 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG08396) Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG08396 3\
subGroups cellType=t3FIBROPAG08396 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonFibropag08396SimpleSignalRep3\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878NfkbTnfaIggrabUniPk GM12878+TNFa RELA narrowPeak GM12878 (TNFa) TFBS Uniform Peaks of NFKB from ENCODE/Stanford/Analysis 1 62 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 (TNFa) TFBS Uniform Peaks of NFKB from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878+TNFa RELA\
subGroups tier=a10 cellType=a10GM12878 factor=RELA lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878NfkbTnfaIggrabUniPk\
wgEncodeOpenChromFaireGm18507Sig GM18507 FAIRE DS bigWig 0.000000 0.867300 GM18507 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 62 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM18507 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel GM18507 FAIRE DS\
subGroups view=SIG cellType=t3GM18507 treatment=AANONE\
track wgEncodeOpenChromFaireGm18507Sig\
type bigWig 0.000000 0.867300\
wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xRawRep2 GM78 IRF4 PCR1 2 bigWig 0.161846 177.746994 GM12878 IRF4 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 62 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 IRF4 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 IRF4 PCR1 2\
subGroups view=RawSignal factor=IRF4SC6059 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Irf4sc6059Pcr1xRawRep2\
type bigWig 0.161846 177.746994\
wgEncodeSydhTfbsGm12878Pol2StdSig GM78 Pol2 Std bigWig 0.000000 26789.000000 GM12878 Pol2 Standard ChIP-seq Signal from ENCODE/SYDH 2 62 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Pol2 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 Pol2 Std\
subGroups view=Signal factor=POL2 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2StdSig\
type bigWig 0.000000 26789.000000\
wgEncodeBroadHistoneH1hescJarid1aab26049StdPk H1-hESC JARID1A broadPeak H1-hESC JARID1A (ab26049) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 62 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC JARID1A (ab26049) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC JARID1A\
subGroups view=Peaks factor=JARID1AAB26049 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescJarid1aab26049StdPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaMinusRawSigRep2 H1hSC cel pA- - 2 bigWig 1.000000 770082.000000 H1-hESC whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 62 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cel pA- - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 770082.000000\
wgEncodeHaibMethylRrbsHaeUwSitesRep2 HAEpiC 2 bed 9 + HAEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 62 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HAEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HAEpiC 2\
subGroups cellType=t3HAEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHaeUwSitesRep2\
type bed 9 +\
wgEncodeUwDgfHaePkV2 HAEpiC Pk narrowPeak HAEpiC DNaseI DGF Peaks from ENCODE/UW 0 62 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HAEpiC DNaseI DGF Peaks from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HAEpiC Pk\
subGroups view=Peaks cellType=t3HAEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaePkV2\
type narrowPeak\
wgEncodeUwAffyExonArrayHcfSimpleSignalRep2 HCF 2 broadPeak HCF Exon array Signal Rep 2 from ENCODE/UW 0 62 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCF Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCF 2\
subGroups cellType=t3HCF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHcfSimpleSignalRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R1x75dAlignsRep2V2 HeLa 1x75D A 2 bam HeLa-S3 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 62 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HeLa 1x75D A 2\
subGroups view=Aligns cellType=t2HELAS3 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dAlignsRep2V2\
type bam\
wgEncodeGisRnaPetHelas3CytosolPapClustersRep1 HeLa cyto pA+ 1 bed 6 + HeLa-S3 cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 62 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HeLa cyto pA+ 1\
subGroups view=v1Clusters cellType=bHELAS3 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CytosolPapClustersRep1\
type bed 6 +\
wgEncodeUwHistoneHelas3H3k4me3StdRawRep2 HeLa H3K4M3 Sg 2 bigWig 1.000000 4978.000000 HeLa-S3 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 62 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k4me3StdRawRep2\
type bigWig 1.000000 4978.000000\
wgEncodeAwgDnaseUwHmvecdblneoUniPk HMVEC-dBl-N DNase narrowPeak HMVEC-dBl-Neo DNaseI HS Uniform Peaks from ENCODE/Analysis 1 62 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dBl-Neo DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dBl-N DNase\
subGroups tier=a30 cellType=HMVEC-dBl-Neo\
track wgEncodeAwgDnaseUwHmvecdblneoUniPk\
wgEncodeOpenChromChipHuvecCtcfBaseOverlapSignal HUVEC CTCF OS bigWig 0.000000 1348.000000 HUVEC CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 62 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HUVEC CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecCtcfBaseOverlapSignal\
type bigWig 0.000000 1348.000000\
wgEncodeRikenCageK562CytosolPapPlusSignalRep1 K562 cyto pA+ + 1 bigWig 0.040000 10278.469727 K562 cytosol polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 62 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal on\
shortLabel K562 cyto pA+ + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CytosolPapPlusSignalRep1\
type bigWig 0.040000 10278.469727\
wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapContigs K562 nucl TAP C bed 6 K562 TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL 2 62 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 TAP-only nucleus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel K562 nucl TAP C\
subGroups view=Contigs cellType=t1K562 localization=NUCLEUS protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapContigs\
type bed 6\
wgEncodeUwRepliSeqMcf7S1PctSignalRep1 MCF-7 S1 1 bigWig 1.000000 100.000000 MCF-7 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 62 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 S1 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqMcf7S1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7Estctrl0hPkRep1 MCF7 EstCtrl Pk 1 narrowPeak MCF-7 Estradiol Control 0 hr DNaseI HS Peaks Rep 1 from ENCODE/UW 1 62 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 EstCtrl Pk 1\
subGroups view=Peaks cellType=t2MCF7 treatment=ESTCTRL0H rep=rep1\
track wgEncodeUwDnaseMcf7Estctrl0hPkRep1\
type narrowPeak\
wgEncodeHaibGenotypeMelanoRegionsRep2 Melano 2 bed 9 + Melano Copy number variants Replicate 2 from ENCODE/HAIB 0 62 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Melano Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Melano 2\
subGroups cellType=t3MELANO obtainedBy=Duke treatment=None rep=rep2\
track wgEncodeHaibGenotypeMelanoRegionsRep2\
type bed 9 +\
wgEncodeHaibRnaSeqPfsk1AlnRep1 PFSK-1 1 bam PFSK-1 RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 62 0 0 0 127 127 127 0 0 0 expression 1 longLabel PFSK-1 RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel PFSK-1 1\
subGroups view=Alignments cellType=t3PFSK1 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqPfsk1AlnRep1\
type bam\
wgEncodeHaibMethyl450T47dDm002p24hSitesRep1 T-47D DMSO bed 9 T-47D DMSO Methylation 450K Bead Array from ENCODE/HAIB 1 62 0 0 0 127 127 127 0 0 0 regulation 1 longLabel T-47D DMSO Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel T-47D DMSO\
subGroups cellType=t3T47D obtainedBy=HAIB treatment=DM002P24H\
track wgEncodeHaibMethyl450T47dDm002p24hSitesRep1\
type bed 9\
wgEncodeUwTfbsAg04450CtcfStdHotspotsRep2 AG50 CTCF Ht 2 broadPeak AG04450 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 63 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG50 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AG04450 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdHotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_ctss_fwd AorticSmsToIL1b_00hr30minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_forward 0 63 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep1%20%28LK37%29.CNhs13351.12654-134H8.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12654-134H8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_tpm_fwd AorticSmsToIL1b_00hr30minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_forward 1 63 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep1%20%28LK37%29.CNhs13351.12654-134H8.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12654-134H8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF649IRT BJ CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in BJ from ENCODE 3 (ENCFF649IRT) 1 63 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in BJ from ENCODE 3 (ENCFF649IRT)\
parent encTfChipPk off\
shortLabel BJ CTCF\
subGroups cellType=BJ factor=CTCF\
track encTfChipPkENCFF649IRT\
wgEncodeOpenChromDnaseMonocd14BaseOverlapSignal CD14 OS bigWig 0.000000 253.000000 Monocytes CD14+ DNaseI HS Overlap Signal from ENCODE/Duke 2 63 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Monocytes CD14+ DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel CD14 OS\
subGroups view=SIGBO cellType=t2MONOCYTESCD14 treatment=zNONE\
track wgEncodeOpenChromDnaseMonocd14BaseOverlapSignal\
type bigWig 0.000000 253.000000\
pgNA18555 CHB NA18555 pgSnp CHB NA18555 (Complete Genomics) 0 63 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18555 (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18555\
subGroups view=C_CG id=CC_div_GS18555 type=SNP\
track pgNA18555\
wgEncodeDukeAffyExonFibropag20443SimpleSignalRep1 FibroP_AG20443 1 bigBed 6 + FibroP (AG20443) Exon array Signal Rep 1 from ENCODE/Duke 0 63 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG20443) Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG20443 1\
subGroups cellType=t3FIBROPAG20443 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonFibropag20443SimpleSignalRep1\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878NrsfPcr1xUniPk GM12878 REST narrowPeak GM12878 TFBS Uniform Peaks of NRSF from ENCODE/HudsonAlpha/Analysis 1 63 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of NRSF from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 REST\
subGroups tier=a10 cellType=a10GM12878 factor=REST lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878NrsfPcr1xUniPk\
wgEncodeOpenChromFaireGm18507BaseOverlapSignal GM18507 FAIRE OS bigWig 0.000000 2552.000000 GM18507 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 63 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM18507 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel GM18507 FAIRE OS\
subGroups view=SIGBO cellType=t3GM18507 treatment=AANONE\
track wgEncodeOpenChromFaireGm18507BaseOverlapSignal\
type bigWig 0.000000 2552.000000\
wgEncodeHaibTfbsGm12878Mef2aPcr1xPkRep1 GM78 MEF2A PCR1 1 broadPeak GM12878 MEF2A PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 63 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MEF2A PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MEF2A PCR1 1\
subGroups view=Peaks factor=MEF2A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mef2aPcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Pol2s2IggmusPk GM78 PolS IgM narrowPeak GM12878 Pol2 S2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 63 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Pol2 S2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 PolS IgM\
subGroups view=Peaks factor=POL2S2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2s2IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescJarid1aab26049StdSig H1-hESC JARID1A bigWig 0.040000 31501.599609 H1-hESC JARID1A (ab26049) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 63 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC JARID1A (ab26049) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC JARID1A\
subGroups view=Signal factor=JARID1AAB26049 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescJarid1aab26049StdSig\
type bigWig 0.040000 31501.599609\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaPlusRawSigRep1 H1hSC cel pA- + 1 bigWig 1.000000 1138574.000000 H1-hESC whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 63 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cel pA- + 1\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaPlusRawSigRep1\
type bigWig 1.000000 1138574.000000\
wgEncodeUwDgfHaeSig HAEpiC Sig bigWig 1.000000 30034.000000 HAEpiC DNaseI DGF Per-base Signal from ENCODE/UW 2 63 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HAEpiC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HAEpiC Sig\
subGroups view=Signal cellType=t3HAEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaeSig\
type bigWig 1.000000 30034.000000\
wgEncodeHaibMethylRrbsHcfUwSitesRep1 HCF 1 bed 9 + HCF Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 63 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCF Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCF 1\
subGroups cellType=t3HCF obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHcfUwSitesRep1\
type bed 9 +\
wgEncodeUwAffyExonArrayHcfaaSimpleSignalRep1 HCFaa 1 broadPeak HCFaa Exon array Signal Rep 1 from ENCODE/UW 0 63 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCFaa Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCFaa 1\
subGroups cellType=t3HCFAA rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHcfaaSimpleSignalRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UMinusRawRep1V4 HeLa 1x75D - 1 bigWig -23652.000000 -0.021200 HeLa-S3 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 63 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HeLa 1x75D - 1\
subGroups view=MinusSignal cellType=t2HELAS3 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UMinusRawRep1V4\
type bigWig -23652.000000 -0.021200\
wgEncodeGisRnaPetHelas3CytosolPapMinusRawRep1 HeLa cyto pA+ - 1 bigWig 1.000000 733576.000000 HeLa-S3 cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 63 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HeLa cyto pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHELAS3 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CytosolPapMinusRawRep1\
type bigWig 1.000000 733576.000000\
wgEncodeUwHistoneHelas3H3k27me3StdHotspotsRep1 HeLa H3K27M3 Ht 1 broadPeak HeLa-S3 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 63 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K27M3 Ht 1\
subGroups view=Hot factor=H3K27ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdHotspotsRep1\
type broadPeak\
wgEncodeAwgDnaseUwHmvecdlyadUniPk HMVEC-dLy-A DNase narrowPeak HMVEC-dLy-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis 1 63 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dLy-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dLy-A DNase\
subGroups tier=a30 cellType=HMVEC-dLy-Ad\
track wgEncodeAwgDnaseUwHmvecdlyadUniPk\
wgEncodeOpenChromChipHuvecPol2Pk HUVEC Pol2 Pk narrowPeak HUVEC Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 63 224 75 0 239 165 127 1 0 0 regulation 1 color 224,75,0\
longLabel HUVEC Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel HUVEC Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecPol2Pk\
type narrowPeak\
wgEncodeRikenCageK562CytosolPapPlusSignalRep2 K562 cyto pA+ + 2 bigWig 0.060000 10864.750000 K562 cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 63 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 cyto pA+ + 2\
subGroups view=PlusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CytosolPapPlusSignalRep2\
type bigWig 0.060000 10864.750000\
wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapMinusRawRep1 K562 nucl TAP - 1 bigWig 1.000000 2509548.000000 K562 TAP-only nucleus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 63 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleus small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nucl TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapMinusRawRep1\
type bigWig 1.000000 2509548.000000\
wgEncodeUwRepliSeqMcf7S2PctSignalRep1 MCF-7 S2 1 bigWig 1.000000 100.000000 MCF-7 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 63 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 S2 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqMcf7S2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7PkRep1 MCF7 Pk 1 narrowPeak MCF-7 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 63 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 Pk 1\
subGroups view=Peaks cellType=t2MCF7 rep=rep1 treatment=None\
track wgEncodeUwDnaseMcf7PkRep1\
type narrowPeak\
wgEncodeHaibGenotypeMyometrRegionsRep1 Myometr 1 bed 9 + Myometr Copy number variants Replicate 1 from ENCODE/HAIB 0 63 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Myometr Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Myometr 1\
subGroups cellType=t3MYOMETR obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeMyometrRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqPfsk1RawRep2 PFSK-1 2 bigWig 0.178471 1536.329956 PFSK-1 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 63 0 0 0 127 127 127 0 0 0 expression 0 longLabel PFSK-1 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel PFSK-1 2\
subGroups view=RawSignal cellType=t3PFSK1 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqPfsk1RawRep2\
type bigWig 0.178471 1536.329956\
wgEncodeHaibMethyl450U87SitesRep1 U87 bed 9 U87 Methylation 450K Bead Array from ENCODE/HAIB 1 63 0 0 0 127 127 127 0 0 0 regulation 1 longLabel U87 Methylation 450K Bead Array from ENCODE/HAIB\
parent wgEncodeHaibMethyl450 off\
shortLabel U87\
subGroups cellType=t3U87 obtainedBy=HAIB treatment=zNONE\
track wgEncodeHaibMethyl450U87SitesRep1\
type bed 9\
wgEncodeUwTfbsAg04450CtcfStdPkRep2 AG50 CTCF Pk 2 narrowPeak AG04450 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 64 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG50 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AG04450 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdPkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_ctss_rev AorticSmsToIL1b_00hr30minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_reverse 0 64 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep1%20%28LK37%29.CNhs13351.12654-134H8.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12654-134H8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_tpm_rev AorticSmsToIL1b_00hr30minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_reverse 1 64 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep1%20%28LK37%29.CNhs13351.12654-134H8.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep1 (LK37)_CNhs13351_12654-134H8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12654-134H8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep1LK37_CNhs13351_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12654-134H8\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF449NOT B_cell CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in B_cell from ENCODE 3 (ENCFF449NOT) 1 64 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in B_cell from ENCODE 3 (ENCFF449NOT)\
parent encTfChipPk off\
shortLabel B_cell CTCF\
subGroups cellType=B_cell factor=CTCF\
track encTfChipPkENCFF449NOT\
pgNA18555indel CHB NA18555 indel pgSnp CHB NA18555 indel (Complete Genomics) 0 64 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18555 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18555 indel\
subGroups view=C_CG id=CC_div_GS18555 type=Indel\
track pgNA18555indel\
wgEncodeDukeAffyExonFibropag20443SimpleSignalRep2 FibroP_AG20443 2 bigBed 6 + FibroP (AG20443) Exon array Signal Rep 2 from ENCODE/Duke 0 64 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG20443) Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG20443 2\
subGroups cellType=t3FIBROPAG20443 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonFibropag20443SimpleSignalRep2\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Rfx5200401194IggmusUniPk GM12878 RFX5 narrowPeak GM12878 TFBS Uniform Peaks of RFX5_(200-401-194) from ENCODE/Stanford/Analysis 1 64 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of RFX5_(200-401-194) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RFX5\
subGroups tier=a10 cellType=a10GM12878 factor=RFX5 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Rfx5200401194IggmusUniPk\
wgEncodeOpenChromFaireGm19239Pk GM19239 FAIRE Pk narrowPeak GM19239 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 64 0 0 0 127 127 127 1 0 0 regulation 1 longLabel GM19239 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel GM19239 FAIRE Pk\
subGroups view=Peaks cellType=t3GM19239 treatment=AANONE\
track wgEncodeOpenChromFaireGm19239Pk\
type narrowPeak\
wgEncodeHaibTfbsGm12878Mef2aPcr1xRawRep1 GM78 MEF2A PCR1 1 bigWig 0.357467 789.643982 GM12878 MEF2A PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 64 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MEF2A PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MEF2A PCR1 1\
subGroups view=RawSignal factor=MEF2A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mef2aPcr1xRawRep1\
type bigWig 0.357467 789.643982\
wgEncodeSydhTfbsGm12878Pol2s2IggmusSig GM78 PolS IgM bigWig 1.000000 5123.000000 GM12878 Pol2 S2 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 64 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Pol2 S2 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 PolS IgM\
subGroups view=Signal factor=POL2S2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol2s2IggmusSig\
type bigWig 1.000000 5123.000000\
wgEncodeBroadHistoneH1hescJmjd2aa300861a1Pk H1-hESC JMJD2A broadPeak H1-hESC JMJD2A (A300-861A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 64 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC JMJD2A (A300-861A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC JMJD2A\
subGroups view=Peaks factor=JMJD2AA300861A1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescJmjd2aa300861a1Pk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaPlusRawSigRep2 H1hSC cel pA- + 2 bigWig 1.000000 745615.000000 H1-hESC whole cell polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 64 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cel pA- + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 745615.000000\
wgEncodeUwDgfHaeRaw HAEpiC Raw bigWig 1.000000 110519.000000 HAEpiC DNaseI DGF Raw Signal from ENCODE/UW 0 64 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HAEpiC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HAEpiC Raw\
subGroups view=zRaw cellType=t3HAEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHaeRaw\
type bigWig 1.000000 110519.000000\
wgEncodeHaibMethylRrbsHcfUwSitesRep2 HCF 2 bed 9 + HCF Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 64 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCF Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCF 2\
subGroups cellType=t3HCF obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHcfUwSitesRep2\
type bed 9 +\
wgEncodeUwAffyExonArrayHcfaaSimpleSignalRep2 HCFaa 2 broadPeak HCFaa Exon array Signal Rep 2 from ENCODE/UW 0 64 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCFaa Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCFaa 2\
subGroups cellType=t3HCFAA rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHcfaaSimpleSignalRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UMinusRawRep2V4 HeLa 1x75D - 2 bigWig -31520.000000 -0.025000 HeLa-S3 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 64 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HeLa 1x75D - 2\
subGroups view=MinusSignal cellType=t2HELAS3 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UMinusRawRep2V4\
type bigWig -31520.000000 -0.025000\
wgEncodeGisRnaPetHelas3CytosolPapPlusRawRep1 HeLa cyto pA+ + 1 bigWig 1.000000 830046.000000 HeLa-S3 cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 64 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HeLa cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHELAS3 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CytosolPapPlusRawRep1\
type bigWig 1.000000 830046.000000\
wgEncodeUwHistoneHelas3H3k27me3StdPkRep1 HeLa H3K27M3 Pk 1 narrowPeak HeLa-S3 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 64 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K27M3 Pk 1\
subGroups view=Peaks factor=H3K27ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdPkRep1\
type narrowPeak\
wgEncodeAwgDnaseUwHmvecdlyneoUniPk HMVEC-dLy-N DNase narrowPeak HMVEC-dLy-Neo DNaseI HS Uniform Peaks from ENCODE/Analysis 1 64 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dLy-Neo DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dLy-N DNase\
subGroups tier=a30 cellType=HMVEC-dLy-Neo\
track wgEncodeAwgDnaseUwHmvecdlyneoUniPk\
wgEncodeOpenChromChipHuvecPol2Sig HUVEC Pol2 DS bigWig 0.000000 10.084000 HUVEC Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 64 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HUVEC Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecPol2Sig\
type bigWig 0.000000 10.084000\
wgEncodeRikenCageK562CytosolPapMinusSignalRep1 K562 cyto pA+ - 1 bigWig 0.040000 13557.019531 K562 cytosol polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 64 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal on\
shortLabel K562 cyto pA+ - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CytosolPapMinusSignalRep1\
type bigWig 0.040000 13557.019531\
wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapMinusRawRep2 K562 nucl TAP - 2 bigWig 1.000000 2051665.000000 K562 TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 64 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleus small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 nucl TAP - 2\
subGroups view=MinusSignal cellType=t1K562 localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapMinusRawRep2\
type bigWig 1.000000 2051665.000000\
wgEncodeUwRepliSeqMcf7S3PctSignalRep1 MCF-7 S3 1 bigWig 1.000000 100.000000 MCF-7 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 64 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 S3 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqMcf7S3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7Est100nm1hRawRep1 MCF7 Est1h Sg 1 bigWig 1.000000 88562.000000 MCF-7 Estradiol 100 nM 1 hr DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 64 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 Est1h Sg 1\
subGroups view=zRSig cellType=t2MCF7 treatment=EST100NM1H rep=rep1\
track wgEncodeUwDnaseMcf7Est100nm1hRawRep1\
type bigWig 1.000000 88562.000000\
wgEncodeHaibGenotypeNb4RegionsRep1 NB4 1 bed 9 + NB4 Copy number variants Replicate 1 from ENCODE/HAIB 0 64 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NB4 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NB4 1\
subGroups cellType=t3NB4 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeNb4RegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqPfsk1AlnRep2 PFSK-1 2 bam PFSK-1 RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 64 0 0 0 127 127 127 0 0 0 expression 1 longLabel PFSK-1 RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel PFSK-1 2\
subGroups view=Alignments cellType=t3PFSK1 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqPfsk1AlnRep2\
type bam\
wgEncodeOpenChromDnaseSknshPk SK-N-SH Pk narrowPeak SK-N-SH DNaseI HS Peaks from ENCODE/Duke 3 64 0 0 0 127 127 127 1 0 0 regulation 1 longLabel SK-N-SH DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel SK-N-SH Pk\
subGroups view=Peaks cellType=t2SKNSH treatment=zNONE\
track wgEncodeOpenChromDnaseSknshPk\
type narrowPeak\
wgEncodeUwTfbsAg04450CtcfStdRawRep2 AG50 CTCF Sg 2 bigWig 1.000000 10438.000000 AG04450 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 65 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04450 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG50 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AG04450 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg04450CtcfStdRawRep2\
type bigWig 1.000000 10438.000000\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_ctss_fwd AorticSmsToIL1b_00hr30minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_forward 0 65 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep2%20%28LK38%29.CNhs13371.12752-136A7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12752-136A7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_tpm_fwd AorticSmsToIL1b_00hr30minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_forward 1 65 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep2%20%28LK38%29.CNhs13371.12752-136A7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12752-136A7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF658MKE C4-2B CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in C4-2B from ENCODE 3 (ENCFF658MKE) 1 65 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in C4-2B from ENCODE 3 (ENCFF658MKE)\
parent encTfChipPk off\
shortLabel C4-2B CTCF\
subGroups cellType=C4-2B factor=CTCF\
track encTfChipPkENCFF658MKE\
pgNA18558 CHB NA18558 pgSnp CHB NA18558 (Complete Genomics) 0 65 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18558 (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18558\
subGroups view=C_CG id=CC_div_GS18558 type=SNP\
track pgNA18558\
wgEncodeDukeAffyExonFibropag20443SimpleSignalRep3 FibroP_AG20443 3 bigBed 6 + FibroP (AG20443) Exon array Signal Rep 3 from ENCODE/Duke 0 65 0 0 0 127 127 127 1 0 0 expression 1 longLabel FibroP (AG20443) Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel FibroP_AG20443 3\
subGroups cellType=t3FIBROPAG20443 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonFibropag20443SimpleSignalRep3\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878Runx3sc101553V0422111UniPk GM12878 RUNX3 narrowPeak GM12878 TFBS Uniform Peaks of RUNX3_(SC-101553) from ENCODE/HudsonAlpha/Analysis 1 65 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of RUNX3_(SC-101553) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RUNX3\
subGroups tier=a10 cellType=a10GM12878 factor=RUNX3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Runx3sc101553V0422111UniPk\
wgEncodeOpenChromFaireGm19239Sig GM19239 FAIRE DS bigWig 0.000000 1.023000 GM19239 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 65 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM19239 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel GM19239 FAIRE DS\
subGroups view=SIG cellType=t3GM19239 treatment=AANONE\
track wgEncodeOpenChromFaireGm19239Sig\
type bigWig 0.000000 1.023000\
wgEncodeHaibTfbsGm12878Mef2aPcr1xPkRep2 GM78 MEF2A PCR1 2 broadPeak GM12878 MEF2A PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 65 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MEF2A PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MEF2A PCR1 2\
subGroups view=Peaks factor=MEF2A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mef2aPcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Pol3StdPk GM78 Pol3 Std narrowPeak GM12878 POL3 Standard ChIP-seq Peaks from ENCODE/SYDH 3 65 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 POL3 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 Pol3 Std\
subGroups view=Peaks factor=POL3 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol3StdPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescJmjd2aa300861a1Sig H1-hESC JMJD2A bigWig 0.040000 394.200012 H1-hESC JMJD2A (A300-861A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 65 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC JMJD2A (A300-861A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC JMJD2A\
subGroups view=Signal factor=JMJD2AA300861A1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescJmjd2aa300861a1Sig\
type bigWig 0.040000 394.200012\
wgEncodeCshlLongRnaSeqH1hescCellPapAlnRep1 H1hSC cel pA+ A 1 bam H1-hESC whole cell polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 65 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cel pA+ A 1\
subGroups view=Alignments cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellPapAlnRep1\
type bam\
wgEncodeUwDgfHcfHotspots HCF Hot broadPeak HCF DNaseI DGF Hotspots from ENCODE/UW 0 65 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCF DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HCF Hot\
subGroups view=Hotspots cellType=t3HCF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHcmSimpleSignalRep1 HCM 1 broadPeak HCM Exon array Signal Rep 1 from ENCODE/UW 0 65 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCM Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCM 1\
subGroups cellType=t3HCM rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHcmSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHcmUwSitesRep1 HCM 1 bed 9 + HCM Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 65 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCM Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCM 1\
subGroups cellType=t3HCM obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHcmUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UPlusRawRep1V4 HeLa 1x75D + 1 bigWig 0.021200 51041.000000 HeLa-S3 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 65 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HeLa 1x75D + 1\
subGroups view=PlusSignal cellType=t2HELAS3 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UPlusRawRep1V4\
type bigWig 0.021200 51041.000000\
wgEncodeGisRnaPetHelas3CytosolPapAlnRep1 HeLa cyto pA+ A 1 bam HeLa-S3 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 65 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HeLa cyto pA+ A 1\
subGroups view=v3Alignments cellType=bHELAS3 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3CytosolPapAlnRep1\
type bam\
wgEncodeUwHistoneHelas3H3k27me3StdRawRep1 HeLa H3K27M3 Sg 1 bigWig 1.000000 6433.000000 HeLa-S3 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 65 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K27M3 Sg 1\
subGroups view=zRSig factor=H3K27ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdRawRep1\
type bigWig 1.000000 6433.000000\
wgEncodeAwgDnaseUwHmvecdneoUniPk HMVEC-dNeo DNase narrowPeak HMVEC-dNeo DNaseI HS Uniform Peaks from ENCODE/Analysis 1 65 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HMVEC-dNeo DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HMVEC-dNeo DNase\
subGroups tier=a30 cellType=HMVEC-dNeo\
track wgEncodeAwgDnaseUwHmvecdneoUniPk\
wgEncodeOpenChromChipHuvecPol2BaseOverlapSignal HUVEC Pol2 OS bigWig 0.000000 3853.000000 HUVEC Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 65 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel HUVEC Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecPol2BaseOverlapSignal\
type bigWig 0.000000 3853.000000\
wgEncodeRikenCageK562CytosolPapMinusSignalRep2 K562 cyto pA+ - 2 bigWig 0.060000 18765.929688 K562 cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 65 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 cyto pA+ - 2\
subGroups view=MinusRawSignal cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CytosolPapMinusSignalRep2\
type bigWig 0.060000 18765.929688\
wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapPlusRawRep1 K562 nucl TAP + 1 bigWig 1.000000 842350.000000 K562 TAP-only nucleus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 65 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleus small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nucl TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEUS protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapPlusRawRep1\
type bigWig 1.000000 842350.000000\
wgEncodeUwRepliSeqMcf7S4PctSignalRep1 MCF-7 S4 1 bigWig 1.000000 100.000000 MCF-7 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 65 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 S4 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqMcf7S4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7Estctrl0hRawRep1 MCF7 EstCtrl Sg 1 bigWig 1.000000 60405.000000 MCF-7 Estradiol Control 0 hr DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 65 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 EstCtrl Sg 1\
subGroups view=zRSig cellType=t2MCF7 treatment=ESTCTRL0H rep=rep1\
track wgEncodeUwDnaseMcf7Estctrl0hRawRep1\
type bigWig 1.000000 60405.000000\
wgEncodeHaibGenotypeNb4RegionsRep2 NB4 2 bed 9 + NB4 Copy number variants Replicate 2 from ENCODE/HAIB 0 65 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NB4 Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NB4 2\
subGroups cellType=t3NB4 obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeNb4RegionsRep2\
type bed 9 +\
wgEncodeOpenChromDnaseSknshSig SK-N-SH DS bigWig 0.000000 2.501600 SK-N-SH DNaseI HS Density Signal from ENCODE/Duke 2 65 0 0 0 127 127 127 1 0 0 regulation 0 longLabel SK-N-SH DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel SK-N-SH DS\
subGroups view=SIG cellType=t2SKNSH treatment=zNONE\
track wgEncodeOpenChromDnaseSknshSig\
type bigWig 0.000000 2.501600\
wgEncodeHaibRnaSeqT47dBpa14hRawRep1 T-47D BPA 1 bigWig 0.149111 676.367004 T-47D BPA 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 65 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D BPA 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D BPA 1\
subGroups view=RawSignal cellType=t3T47D treatment=BPA14h rep=rep1\
track wgEncodeHaibRnaSeqT47dBpa14hRawRep1\
type bigWig 0.149111 676.367004\
wgEncodeUwTfbsAg04450InputStdRawRep1 AG50 In Sg 1 bigWig 1.000000 17581.000000 AG04450 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 66 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04450 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG50 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AG04450 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg04450InputStdRawRep1\
type bigWig 1.000000 17581.000000\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_ctss_rev AorticSmsToIL1b_00hr30minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_reverse 0 66 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep2%20%28LK38%29.CNhs13371.12752-136A7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12752-136A7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_tpm_rev AorticSmsToIL1b_00hr30minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_reverse 1 66 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep2%20%28LK38%29.CNhs13371.12752-136A7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep2 (LK38)_CNhs13371_12752-136A7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12752-136A7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep2LK38_CNhs13371_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12752-136A7\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF842WEF C4-2B ZFX narrowPeak Transcription Factor ChIP-seq Peaks of ZFX in C4-2B from ENCODE 3 (ENCFF842WEF) 1 66 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ZFX in C4-2B from ENCODE 3 (ENCFF842WEF)\
parent encTfChipPk off\
shortLabel C4-2B ZFX\
subGroups cellType=C4-2B factor=ZFX\
track encTfChipPkENCFF842WEF\
pgNA18558indel CHB NA18558 indel pgSnp CHB NA18558 indel (Complete Genomics) 0 66 0 0 0 127 127 127 0 0 0 varRep 1 longLabel CHB NA18558 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel CHB NA18558 indel\
subGroups view=C_CG id=CC_div_GS18558 type=Indel\
track pgNA18558indel\
wgEncodeDukeAffyExonGlioblaSimpleSignalRep1V2 Gliobla 1 bigBed 6 + Gliobla Exon array Signal Rep 1 from ENCODE/Duke 0 66 0 0 0 127 127 127 1 0 0 expression 1 longLabel Gliobla Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Gliobla 1\
subGroups cellType=t3GLIOBLA treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGlioblaSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878RxraPcr1xUniPk GM12878 RXRA narrowPeak GM12878 TFBS Uniform Peaks of RXRA from ENCODE/HudsonAlpha/Analysis 1 66 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of RXRA from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 RXRA\
subGroups tier=a10 cellType=a10GM12878 factor=RXRA lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878RxraPcr1xUniPk\
wgEncodeOpenChromFaireGm19239BaseOverlapSignal GM19239 FAIRE OS bigWig 0.000000 1562.000000 GM19239 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 66 0 0 0 127 127 127 1 0 0 regulation 0 longLabel GM19239 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel GM19239 FAIRE OS\
subGroups view=SIGBO cellType=t3GM19239 treatment=AANONE\
track wgEncodeOpenChromFaireGm19239BaseOverlapSignal\
type bigWig 0.000000 1562.000000\
wgEncodeHaibTfbsGm12878Mef2aPcr1xRawRep2 GM78 MEF2A PCR1 2 bigWig 0.208574 219.733002 GM12878 MEF2A PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 66 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MEF2A PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MEF2A PCR1 2\
subGroups view=RawSignal factor=MEF2A cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mef2aPcr1xRawRep2\
type bigWig 0.208574 219.733002\
wgEncodeSydhTfbsGm12878Pol3StdSig GM78 Pol3 Std bigWig 0.000000 11643.400391 GM12878 POL3 Standard ChIP-seq Signal from ENCODE/SYDH 2 66 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 POL3 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 Pol3 Std\
subGroups view=Signal factor=POL3 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Pol3StdSig\
type bigWig 0.000000 11643.400391\
wgEncodeBroadHistoneH1hescP300kat3bPk H1-hESC P300 broadPeak H1-hESC P300 KAT3B Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 66 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC P300 KAT3B Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC P300\
subGroups view=Peaks factor=P300KAT3B cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescP300kat3bPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellPapAlnRep2 H1hSC cel pA+ A 2 bam H1-hESC whole cell polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 66 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cel pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellPapAlnRep2\
type bam\
wgEncodeUwDgfHcfPk HCF Pk narrowPeak HCF DNaseI DGF Peaks from ENCODE/UW 0 66 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCF DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HCF Pk\
subGroups view=Peaks cellType=t3HCF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHcmSimpleSignalRep2 HCM 2 broadPeak HCM Exon array Signal Rep 2 from ENCODE/UW 0 66 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCM Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCM 2\
subGroups cellType=t3HCM rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHcmSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHcmUwSitesRep2 HCM 2 bed 9 + HCM Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 66 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCM Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCM 2\
subGroups cellType=t3HCM obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHcmUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UPlusRawRep2V4 HeLa 1x75D + 2 bigWig 0.025000 42784.000000 HeLa-S3 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 66 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HeLa 1x75D + 2\
subGroups view=PlusSignal cellType=t2HELAS3 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dTh1014UPlusRawRep2V4\
type bigWig 0.025000 42784.000000\
wgEncodeUwHistoneHelas3H3k27me3StdHotspotsRep2 HeLa H3K27M3 Ht 2 broadPeak HeLa-S3 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 66 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K27M3 Ht 2\
subGroups view=Hot factor=H3K27ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdHotspotsRep2\
type broadPeak\
wgEncodeGisRnaPetHelas3NucleusPapClustersRep1V2 HeLa nucl pA+ 1 bed 6 + HeLa-S3 nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 66 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HeLa nucl pA+ 1\
subGroups view=v1Clusters cellType=bHELAS3 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3NucleusPapClustersRep1V2\
type bed 6 +\
wgEncodeAwgDnaseUwHnpcepicUniPk HNPCEpiC DNase narrowPeak HNPCEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 66 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HNPCEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HNPCEpiC DNase\
subGroups tier=a30 cellType=HNPCEpiC\
track wgEncodeAwgDnaseUwHnpcepicUniPk\
wgEncodeOpenChromChipHuvecInputSig HUVEC Input DS bigWig 0.000000 4.696200 HUVEC Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 66 224 75 0 239 165 127 1 0 0 regulation 0 color 224,75,0\
longLabel HUVEC Input TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel HUVEC Input DS\
subGroups treatment=AANONE view=SIG factor=zCTRL cellType=t2HUVEC\
track wgEncodeOpenChromChipHuvecInputSig\
type bigWig 0.000000 4.696200\
wgEncodeRikenCageK562CytosolPapAlnRep1 K562 cyto pA+ A 1 bam K562 cytosol polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 66 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 cyto pA+ A 1\
subGroups view=Alignments cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CytosolPapAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapPlusRawRep2 K562 nucl TAP + 2 bigWig 1.000000 697712.000000 K562 TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 66 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only nucleus small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 nucl TAP + 2\
subGroups view=PlusSignal cellType=t1K562 localization=NUCLEUS protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqK562NucleusShorttotalTapPlusRawRep2\
type bigWig 1.000000 697712.000000\
wgEncodeUwRepliSeqMcf7G2PctSignalRep1 MCF-7 G2 1 bigWig 1.000000 100.000000 MCF-7 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 66 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel MCF-7 G2 1\
subGroups view=v1PctSignal cellType=t2MCF7 phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqMcf7G2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeUwDnaseMcf7RawRep1 MCF7 Sg 1 bigWig 1.000000 33810.000000 MCF-7 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 66 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 Sg 1\
subGroups view=zRSig cellType=t2MCF7 rep=rep1 treatment=None\
track wgEncodeUwDnaseMcf7RawRep1\
type bigWig 1.000000 33810.000000\
wgEncodeHaibGenotypeNhaDukeRegionsRep1 NH-A Duke 1 bed 9 + NH-A (Duke) Copy number variants Replicate 1 from ENCODE/HAIB 0 66 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NH-A (Duke) Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NH-A Duke 1\
subGroups cellType=t3NHAd obtainedBy=Duke treatment=None rep=rep1\
track wgEncodeHaibGenotypeNhaDukeRegionsRep1\
type bed 9 +\
wgEncodeOpenChromDnaseSknshBaseOverlapSignal SK-N-SH OS bigWig 0.000000 231.000000 SK-N-SH DNaseI HS Overlap Signal from ENCODE/Duke 2 66 0 0 0 127 127 127 1 0 0 regulation 0 longLabel SK-N-SH DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel SK-N-SH OS\
subGroups view=SIGBO cellType=t2SKNSH treatment=zNONE\
track wgEncodeOpenChromDnaseSknshBaseOverlapSignal\
type bigWig 0.000000 231.000000\
wgEncodeHaibRnaSeqT47dBpa14hAlnRep1 T-47D BPA 1 bam T-47D BPA 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 66 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D BPA 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D BPA 1\
subGroups view=Alignments cellType=t3T47D treatment=BPA14h rep=rep1\
track wgEncodeHaibRnaSeqT47dBpa14hAlnRep1\
type bam\
wgEncodeOpenChromDnase8988tPk 8988T Pk narrowPeak 8988T DNaseI HS Peaks from ENCODE/Duke 3 67 0 0 0 127 127 127 1 0 0 regulation 1 longLabel 8988T DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel 8988T Pk\
subGroups view=Peaks cellType=t3A8988T treatment=zNONE\
track wgEncodeOpenChromDnase8988tPk\
type narrowPeak\
wgEncodeUwTfbsAg09309CtcfStdHotspotsRep1 AG09 CTCF Ht 1 broadPeak AG09309 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 67 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG09 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AG09309 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdHotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_ctss_fwd AorticSmsToIL1b_00hr30minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_forward 0 67 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep3%20%28LK39%29.CNhs13579.12850-137C6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12850-137C6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_tpm_fwd AorticSmsToIL1b_00hr30minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_forward 1 67 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep3%20%28LK39%29.CNhs13579.12850-137C6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12850-137C6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF437LHG CD14+monocyte CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in CD14-positive_monocyte from ENCODE 3 (ENCFF437LHG) 1 67 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in CD14-positive_monocyte from ENCODE 3 (ENCFF437LHG)\
parent encTfChipPk off\
shortLabel CD14+monocyte CTCF\
subGroups cellType=CD14-positive_monocyte factor=CTCF\
track encTfChipPkENCFF437LHG\
pgNA20845 GIH NA20845 pgSnp GIH NA20845 (Complete Genomics) 0 67 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20845 (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20845\
subGroups view=C_CG id=CD_div_GS20845 type=SNP\
track pgNA20845\
wgEncodeDukeAffyExonGlioblaSimpleSignalRep2V2 Gliobla 2 bigBed 6 + Gliobla Exon array Signal Rep 2 from ENCODE/Duke 0 67 0 0 0 127 127 127 1 0 0 expression 1 longLabel Gliobla Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Gliobla 2\
subGroups cellType=t3GLIOBLA treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGlioblaSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Sin3anb6001263IggmusUniPk GM12878 SIN3A narrowPeak GM12878 TFBS Uniform Peaks of SIN3A_(NB600-1263) from ENCODE/Stanford/Analysis 1 67 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of SIN3A_(NB600-1263) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 SIN3A\
subGroups tier=a10 cellType=a10GM12878 factor=SIN3A lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Sin3anb6001263IggmusUniPk\
wgEncodeHaibTfbsGm12878Mef2csc13268V0416101PkRep1 GM78 MEFC V101 1 broadPeak GM12878 MEF2C v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 67 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MEF2C v041610.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MEFC V101 1\
subGroups view=Peaks factor=MEF2CSC13268 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mef2csc13268V0416101PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Rad21IggrabPk GM78 Rad2 IgR narrowPeak GM12878 Rad21 IgG-rab ChIP-seq Peaks from ENCODE/SYDH 3 67 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Rad21 IgG-rab ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 Rad2 IgR\
subGroups view=Peaks factor=RAD21 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Rad21IggrabPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescP300kat3bSig H1-hESC P300 bigWig 0.040000 384.000000 H1-hESC P300 KAT3B Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 67 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC P300 KAT3B Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC P300\
subGroups view=Signal factor=P300KAT3B cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescP300kat3bSig\
type bigWig 0.040000 384.000000\
wgEncodeCshlLongRnaSeqH1hescCellPapContigs H1hSC cel pA+ C bed 6 + H1-hESC whole cell polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 67 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC cel pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=CELL rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqH1hescCellPapContigs\
type bed 6 +\
wgEncodeUwDgfHcfSig HCF Sig bigWig 1.000000 110210.000000 HCF DNaseI DGF Per-base Signal from ENCODE/UW 2 67 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCF DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HCF Sig\
subGroups view=Signal cellType=t3HCF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfSig\
type bigWig 1.000000 110210.000000\
wgEncodeUwAffyExonArrayHconfSimpleSignalRep1 HConF 1 broadPeak HConF Exon array Signal Rep 1 from ENCODE/UW 0 67 0 0 0 127 127 127 0 0 0 expression 1 longLabel HConF Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HConF 1\
subGroups cellType=t3HCONF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHconfSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHcpeUwSitesRep1 HCPEpiC 1 bed 9 + HCPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 67 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCPEpiC 1\
subGroups cellType=t3HCPEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHcpeUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHelas3R1x75dSplicesRep1V2 HeLa 1x75D Sp 1 bam HeLa-S3 single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 67 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HeLa 1x75D Sp 1\
subGroups view=Splices cellType=t2HELAS3 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dSplicesRep1V2\
type bam\
wgEncodeUwHistoneHelas3H3k27me3StdPkRep2 HeLa H3K27M3 Pk 2 narrowPeak HeLa-S3 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 67 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K27M3 Pk 2\
subGroups view=Peaks factor=H3K27ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdPkRep2\
type narrowPeak\
wgEncodeGisRnaPetHelas3NucleusPapMinusRawRep1V2 HeLa nucl pA+ - 1 bigWig 1.000000 1236460.000000 HeLa-S3 nucleus polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 67 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 nucleus polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HeLa nucl pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHELAS3 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3NucleusPapMinusRawRep1V2\
type bigWig 1.000000 1236460.000000\
wgEncodeAwgDnaseUwHpaecUniPk HPAEC DNase narrowPeak HPAEC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 67 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HPAEC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HPAEC DNase\
subGroups tier=a30 cellType=HPAEC\
track wgEncodeAwgDnaseUwHpaecUniPk\
wgEncodeOpenChromFaireHtr8Pk HTR8svn FAIRE Pk narrowPeak HTR8svn FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 67 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HTR8svn FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel HTR8svn FAIRE Pk\
subGroups treatment=AANONE view=Peaks cellType=t3HTR8SVN\
track wgEncodeOpenChromFaireHtr8Pk\
type narrowPeak\
wgEncodeRikenCageK562CytosolPapAlnRep2 K562 cyto pA+ A 2 bam K562 cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 67 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 cytosol polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 cyto pA+ A 2\
subGroups view=Alignments cellType=t1K562 localization=cytosol rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CytosolPapAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqK562PolysomeShortMinusRaw K562 psom TAP - 1 bigWig 1.000000 192904.000000 K562 TAP-only polysome small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 67 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only polysome small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel K562 psom TAP - 1\
subGroups view=MinusSignal cellType=t1K562 localization=POLYSOME protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562PolysomeShortMinusRaw\
type bigWig 1.000000 192904.000000\
wgEncodeOpenChromChipMcf7CmycEstroPkRep1 MCF-7 est cMyc Pk narrowPeak MCF-7 estrogen cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 67 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 estrogen cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 est cMyc Pk\
subGroups view=Peaks factor=CMYC cellType=t2MCF7 treatment=ESTRO\
track wgEncodeOpenChromChipMcf7CmycEstroPkRep1\
type narrowPeak\
wgEncodeUwRepliSeqMcf7PkRep1 MCF-7 Pk 1 bed 9 MCF-7 Repli-seq Peaks Rep 1 from ENCODE/UW 0 67 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel MCF-7 Pk 1\
subGroups view=v2Peaks cellType=t2MCF7 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqMcf7PkRep1\
type bed 9\
wgEncodeUwDnaseMcf7Est100nm1hHotspotsRep2 MCF7 Est1h Ht 2 broadPeak MCF-7 Estradiol 100 nM 1 hr DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 67 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS HotSpots Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 Est1h Ht 2\
subGroups view=Hot cellType=t2MCF7 treatment=EST100NM1H rep=rep2\
track wgEncodeUwDnaseMcf7Est100nm1hHotspotsRep2\
type broadPeak\
wgEncodeHaibGenotypeNhaRegionsRep1 NH-A UW 1 bed 9 + NH-A (UW) Copy number variants Replicate 1 from ENCODE/HAIB 0 67 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NH-A (UW) Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NH-A UW 1\
subGroups cellType=t3NHAu obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeNhaRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqT47dBpa14hRawRep2 T-47D BPA 2 bigWig 0.129285 618.044983 T-47D BPA 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 67 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D BPA 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D BPA 2\
subGroups view=RawSignal cellType=t3T47D treatment=BPA14h rep=rep2\
track wgEncodeHaibRnaSeqT47dBpa14hRawRep2\
type bigWig 0.129285 618.044983\
wgEncodeOpenChromDnase8988tSig 8988T DS bigWig 0.000000 1.842900 8988T DNaseI HS Density Signal from ENCODE/Duke 2 68 0 0 0 127 127 127 1 0 0 regulation 0 longLabel 8988T DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel 8988T DS\
subGroups view=SIG cellType=t3A8988T treatment=zNONE\
track wgEncodeOpenChromDnase8988tSig\
type bigWig 0.000000 1.842900\
wgEncodeUwTfbsAg09309CtcfStdPkRep1 AG09 CTCF Pk 1 narrowPeak AG09309 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 68 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG09 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AG09309 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdPkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_ctss_rev AorticSmsToIL1b_00hr30minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_reverse 0 68 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep3%20%28LK39%29.CNhs13579.12850-137C6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12850-137C6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr30minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_tpm_rev AorticSmsToIL1b_00hr30minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_reverse 1 68 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr30min%2c%20biol_rep3%20%28LK39%29.CNhs13579.12850-137C6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr30min, biol_rep3 (LK39)_CNhs13579_12850-137C6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12850-137C6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr30minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr30minBiolRep3LK39_CNhs13579_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12850-137C6\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF882YQH Caco-2 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in Caco-2 from ENCODE 3 (ENCFF882YQH) 1 68 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in Caco-2 from ENCODE 3 (ENCFF882YQH)\
parent encTfChipPk off\
shortLabel Caco-2 CTCF\
subGroups cellType=Caco-2 factor=CTCF\
track encTfChipPkENCFF882YQH\
pgNA20845indel GIH NA20845 indel pgSnp GIH NA20845 indel (Complete Genomics) 0 68 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20845 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20845 indel\
subGroups view=C_CG id=CD_div_GS20845 type=Indel\
track pgNA20845indel\
wgEncodeDukeAffyExonGlioblaSimpleSignalRep3V2 Gliobla 3 bigBed 6 + Gliobla Exon array Signal Rep 3 from ENCODE/Duke 0 68 0 0 0 127 127 127 1 0 0 expression 1 longLabel Gliobla Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Gliobla 3\
subGroups cellType=t3GLIOBLA treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonGlioblaSimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeAwgTfbsHaibGm12878Six5Pcr1xUniPk GM12878 SIX5 narrowPeak GM12878 TFBS Uniform Peaks of SIX5 from ENCODE/HudsonAlpha/Analysis 1 68 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of SIX5 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 SIX5\
subGroups tier=a10 cellType=a10GM12878 factor=SIX5 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Six5Pcr1xUniPk\
wgEncodeHaibTfbsGm12878Mef2csc13268V0416101RawRep1 GM78 MEFC V101 1 bigWig 0.370631 137.225998 GM12878 MEF2C v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 68 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MEF2C v041610.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MEFC V101 1\
subGroups view=RawSignal factor=MEF2CSC13268 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mef2csc13268V0416101RawRep1\
type bigWig 0.370631 137.225998\
wgEncodeSydhTfbsGm12878Rad21IggrabSig GM78 Rad2 IgR bigWig 0.000000 7561.200195 GM12878 Rad21 IgG-rab ChIP-seq Signal from ENCODE/SYDH 2 68 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Rad21 IgG-rab ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 Rad2 IgR\
subGroups view=Signal factor=RAD21 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Rad21IggrabSig\
type bigWig 0.000000 7561.200195\
wgEncodeBroadHistoneH1hescPhf8a301772aPk H1-hESC PHF8 broadPeak H1-hESC PHF8 (A301-772A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 68 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC PHF8 (A301-772A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC PHF8\
subGroups view=Peaks factor=PHF8A301772A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescPhf8a301772aPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellPapJunctions H1hSC cel pA+ J bed 6 + H1-hESC whole cell polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 68 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC cel pA+ J\
subGroups view=Junctions cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescCellPapJunctions\
type bed 6 +\
wgEncodeUwDgfHcfRaw HCF Raw bigWig 1.000000 314066.000000 HCF DNaseI DGF Raw Signal from ENCODE/UW 0 68 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCF DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HCF Raw\
subGroups view=zRaw cellType=t3HCF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfRaw\
type bigWig 1.000000 314066.000000\
wgEncodeUwAffyExonArrayHconfSimpleSignalRep2 HConF 2 broadPeak HConF Exon array Signal Rep 2 from ENCODE/UW 0 68 0 0 0 127 127 127 0 0 0 expression 1 longLabel HConF Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HConF 2\
subGroups cellType=t3HCONF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHconfSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHcpeUwSitesRep2 HCPEpiC 2 bed 9 + HCPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 68 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCPEpiC 2\
subGroups cellType=t3HCPEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHcpeUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHelas3R1x75dSplicesRep2V2 HeLa 1x75D Sp 2 bam HeLa-S3 single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 68 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HeLa 1x75D Sp 2\
subGroups view=Splices cellType=t2HELAS3 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHelas3R1x75dSplicesRep2V2\
type bam\
wgEncodeUwHistoneHelas3H3k27me3StdRawRep2 HeLa H3K27M3 Sg 2 bigWig 1.000000 7668.000000 HeLa-S3 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 68 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K27M3 Sg 2\
subGroups view=zRSig factor=H3K27ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k27me3StdRawRep2\
type bigWig 1.000000 7668.000000\
wgEncodeGisRnaPetHelas3NucleusPapPlusRawRep1V2 HeLa nucl pA+ + 1 bigWig 1.000000 2411020.000000 HeLa-S3 nucleus polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 68 0 119 158 127 187 206 0 0 0 expression 0 color 0,119,158\
longLabel HeLa-S3 nucleus polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HeLa nucl pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHELAS3 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3NucleusPapPlusRawRep1V2\
type bigWig 1.000000 2411020.000000\
wgEncodeAwgDnaseUwHpafUniPk HPAF DNase narrowPeak HPAF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 68 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HPAF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HPAF DNase\
subGroups tier=a30 cellType=HPAF\
track wgEncodeAwgDnaseUwHpafUniPk\
wgEncodeOpenChromFaireHtr8Sig HTR8svn FAIRE DS bigWig 0.000000 0.335400 HTR8svn FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 68 0 0 0 127 127 127 1 0 0 regulation 0 longLabel HTR8svn FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel HTR8svn FAIRE DS\
subGroups treatment=AANONE view=SIG cellType=t3HTR8SVN\
track wgEncodeOpenChromFaireHtr8Sig\
type bigWig 0.000000 0.335400\
wgEncodeRikenCageK562NucleolusTotalTssHmmV3 K562 nlos tot bed 6 K562 nucleolus total CAGE TSS HMM from ENCODE/RIKEN 3 68 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleolus total CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel K562 nlos tot\
subGroups view=TssHmm cellType=t1K562 localization=nucleolus rnaExtract=total rep=rep0 rank=rankP\
track wgEncodeRikenCageK562NucleolusTotalTssHmmV3\
type bed 6\
wgEncodeCshlShortRnaSeqK562PolysomeShortPlusRaw K562 psom TAP + 1 bigWig 1.000000 20832.000000 K562 TAP-only polysome small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 68 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 TAP-only polysome small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel K562 psom TAP + 1\
subGroups view=PlusSignal cellType=t1K562 localization=POLYSOME protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqK562PolysomeShortPlusRaw\
type bigWig 1.000000 20832.000000\
wgEncodeOpenChromChipMcf7CmycEstroSig MCF-7 est cMyc DS bigWig 0.000000 0.801700 MCF-7 estrogen cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 68 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 estrogen cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 est cMyc DS\
subGroups view=SIG factor=CMYC cellType=t2MCF7 treatment=ESTRO\
track wgEncodeOpenChromChipMcf7CmycEstroSig\
type bigWig 0.000000 0.801700\
wgEncodeUwRepliSeqMcf7ValleysRep1 MCF-7 Vly 1 bed 9 MCF-7 Repli-seq Valleys Rep 1 from ENCODE/UW 0 68 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel MCF-7 Vly 1\
subGroups view=v3Valleys cellType=t2MCF7 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqMcf7ValleysRep1\
type bed 9\
wgEncodeUwDnaseMcf7Estctrl0hHotspotsRep2 MCF7 EstCtrl Ht 2 broadPeak MCF-7 Estradiol Control 0 hr DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 68 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS HotSpots Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 EstCtrl Ht 2\
subGroups view=Hot cellType=t2MCF7 treatment=ESTCTRL0H rep=rep2\
track wgEncodeUwDnaseMcf7Estctrl0hHotspotsRep2\
type broadPeak\
wgEncodeHaibGenotypeNhaRegionsRep2 NH-A UW 2 bed 9 + NH-A (UW) Copy number variants Replicate 2 from ENCODE/HAIB 0 68 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NH-A (UW) Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NH-A UW 2\
subGroups cellType=t3NHAu obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeNhaRegionsRep2\
type bed 9 +\
wgEncodeHaibRnaSeqT47dBpa14hAlnRep2 T-47D BPA 2 bam T-47D BPA 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 68 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D BPA 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D BPA 2\
subGroups view=Alignments cellType=t3T47D treatment=BPA14h rep=rep2\
track wgEncodeHaibRnaSeqT47dBpa14hAlnRep2\
type bam\
wgEncodeOpenChromDnase8988tBaseOverlapSignal 8988T OS bigWig 0.000000 286.000000 8988T DNaseI HS Overlap Signal from ENCODE/Duke 2 69 0 0 0 127 127 127 1 0 0 regulation 0 longLabel 8988T DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel 8988T OS\
subGroups view=SIGBO cellType=t3A8988T treatment=zNONE\
track wgEncodeOpenChromDnase8988tBaseOverlapSignal\
type bigWig 0.000000 286.000000\
wgEncodeCshlShortRnaSeqA549CellCiptapContigs A549 cell CIP C bed 6 A549 CIP-TAP whole cell small RNA-seq Contigs from ENCODE/CSHL 2 69 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 CIP-TAP whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cell CIP C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=CELL protocol=CIPTAP rank=none\
track wgEncodeCshlShortRnaSeqA549CellCiptapContigs\
type bed 6\
wgEncodeUwTfbsAg09309CtcfStdRawRep1 AG09 CTCF Sg 1 bigWig 1.000000 8409.000000 AG09309 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 69 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09309 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG09 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AG09309 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdRawRep1\
type bigWig 1.000000 8409.000000\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_ctss_fwd AorticSmsToIL1b_00hr45minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_forward 0 69 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep1%20%28LK40%29.CNhs13352.12655-134H9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12655-134H9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_tpm_fwd AorticSmsToIL1b_00hr45minBr1+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_forward 1 69 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep1%20%28LK40%29.CNhs13352.12655-134H9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12655-134H9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9\
urlLabel FANTOM5 Details:\
encTfChipPkENCFF421PBO DOHH2 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in DOHH2 from ENCODE 3 (ENCFF421PBO) 1 69 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in DOHH2 from ENCODE 3 (ENCFF421PBO)\
parent encTfChipPk off\
shortLabel DOHH2 CTCF\
subGroups cellType=DOHH2 factor=CTCF\
track encTfChipPkENCFF421PBO\
pgNA20846 GIH NA20846 pgSnp GIH NA20846 (Complete Genomics) 0 69 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20846 (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20846\
subGroups view=C_CG id=CD_div_GS20846 type=SNP\
track pgNA20846\
wgEncodeDukeAffyExonGlioblaSimpleSignalRep4V2 Gliobla 4 bigBed 6 + Gliobla Exon array Signal Rep 4 from ENCODE/Duke 0 69 0 0 0 127 127 127 1 0 0 expression 1 longLabel Gliobla Exon array Signal Rep 4 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Gliobla 4\
subGroups cellType=t3GLIOBLA treatment=zNONE rep=rep4\
track wgEncodeDukeAffyExonGlioblaSimpleSignalRep4V2\
type bigBed 6 +\
wgEncodeAwgTfbsSydhGm12878Smc3ab9263IggmusUniPk GM12878 SMC3 narrowPeak GM12878 TFBS Uniform Peaks of SMC3_(ab9263) from ENCODE/Stanford/Analysis 1 69 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of SMC3_(ab9263) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 SMC3\
subGroups tier=a10 cellType=a10GM12878 factor=SMC3 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Smc3ab9263IggmusUniPk\
wgEncodeHaibTfbsGm12878Mef2csc13268V0416101PkRep2 GM78 MEFC V101 2 broadPeak GM12878 MEF2C v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 69 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MEF2C v041610.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MEFC V101 2\
subGroups view=Peaks factor=MEF2CSC13268 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mef2csc13268V0416101PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Rfx5200401194IggmusPk GM78 RFX5 IgM narrowPeak GM12878 RFX5 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 69 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 RFX5 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 RFX5 IgM\
subGroups view=Peaks factor=RFX5200401194 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Rfx5200401194IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescPhf8a301772aSig H1-hESC PHF8 bigWig 0.040000 340.799988 H1-hESC PHF8 (A301-772A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 69 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC PHF8 (A301-772A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC PHF8\
subGroups view=Signal factor=PHF8A301772A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescPhf8a301772aSig\
type bigWig 0.040000 340.799988\
wgEncodeCshlLongRnaSeqH1hescCellPapMinusRawSigRep1 H1hSC cel pA+ - 1 bigWig 1.000000 458570.000000 H1-hESC whole cell polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 69 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cel pA+ - 1\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellPapMinusRawSigRep1\
type bigWig 1.000000 458570.000000\
wgEncodeUwDgfHcfaaHotspots HCFaa Hot broadPeak HCFaa DNaseI DGF Hotspots from ENCODE/UW 0 69 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCFaa DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HCFaa Hot\
subGroups view=Hotspots cellType=t3HCFAA treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfaaHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHcpeSimpleSignalRep1 HCPEpiC 1 broadPeak HCPEpiC Exon array Signal Rep 1 from ENCODE/UW 0 69 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCPEpiC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCPEpiC 1\
subGroups cellType=t3HCPEPIC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHcpeSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHct116StanfordSitesRep1 HCT-116 1 bed 9 + HCT-116 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 69 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCT-116 1\
subGroups cellType=t3HCT116 obtainedBy=Stanford treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHct116StanfordSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdHotspotsRep1 HeLa H3K36M3 Ht 1 broadPeak HeLa-S3 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 69 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K36M3 Ht 1\
subGroups view=Hot factor=H3K36ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaPetHelas3NucleusPapAlnRep1V2 HeLa nucl pA+ A 1 bam HeLa-S3 nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 69 0 119 158 127 187 206 0 0 0 expression 1 color 0,119,158\
longLabel HeLa-S3 nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HeLa nucl pA+ A 1\
subGroups view=v3Alignments cellType=bHELAS3 cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHelas3NucleusPapAlnRep1V2\
type bam\
wgEncodeCaltechRnaSeqHepg2R2x75Il200AlignsRep1V2 HepG 2x75 A 1 bam HepG2 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 69 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HepG 2x75 A 1\
subGroups view=Aligns cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Il200AlignsRep1V2\
type bam\
wgEncodeAwgDnaseDukeHpde6e6e7UniPk HPDE6-E6E7 DNase narrowPeak HPDE6-E6E7 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 69 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HPDE6-E6E7 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HPDE6-E6E7 DNase\
subGroups tier=a30 cellType=HPDE6-E6E7\
track wgEncodeAwgDnaseDukeHpde6e6e7UniPk\
wgEncodeOpenChromFaireHtr8BaseOverlapSignal HTR8svn FAIRE OS bigWig 0.000000 1371.000000 HTR8svn FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 69 0 0 0 127 127 127 1 0 0 regulation 0 longLabel HTR8svn FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel HTR8svn FAIRE OS\
subGroups treatment=AANONE view=SIGBO cellType=t3HTR8SVN\
track wgEncodeOpenChromFaireHtr8BaseOverlapSignal\
type bigWig 0.000000 1371.000000\
wgEncodeRikenCageK562NucleolusTotalPlusSignal K562 nlus tot + 1 bigWig 0.050000 38081.750000 K562 nucleolus total CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 69 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleolus total CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 nlus tot + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleolusTotalPlusSignal\
type bigWig 0.050000 38081.750000\
wgEncodeOpenChromChipMcf7CmycEstroBaseOverlapSignal MCF-7 est cMyc OS bigWig 0.000000 2368.000000 MCF-7 estrogen cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 69 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 estrogen cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 est cMyc OS\
subGroups view=SIGBO factor=CMYC cellType=t2MCF7 treatment=ESTRO\
track wgEncodeOpenChromChipMcf7CmycEstroBaseOverlapSignal\
type bigWig 0.000000 2368.000000\
wgEncodeUwRepliSeqMcf7WaveSignalRep1 MCF-7 Ws 1 bigWig -3.953135 86.434151 MCF-7 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 69 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal off\
shortLabel MCF-7 Ws 1\
subGroups view=v4WaveSignal cellType=t2MCF7 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqMcf7WaveSignalRep1\
type bigWig -3.953135 86.434151\
wgEncodeUwDnaseMcf7HotspotsRep2 MCF7 Ht 2 broadPeak MCF-7 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 69 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel MCF7 Ht 2\
subGroups view=Hot cellType=t2MCF7 rep=rep2 treatment=None\
track wgEncodeUwDnaseMcf7HotspotsRep2\
type broadPeak\
wgEncodeHaibGenotypeNhbeRegionsRep1 NHBE 1 bed 9 + NHBE Copy number variants Replicate 1 from ENCODE/HAIB 0 69 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NHBE Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NHBE 1\
subGroups cellType=t3NHBE obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeNhbeRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqT47dDm002p4hRawRep1 T-47D DMSO 1 bigWig 0.138023 880.583984 T-47D DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 69 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D DMSO 1\
subGroups view=RawSignal cellType=t3T47D treatment=DM002P4H rep=rep1\
track wgEncodeHaibRnaSeqT47dDm002p4hRawRep1\
type bigWig 0.138023 880.583984\
wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapMinusRep3 A549 cell CIP - 1 bigWig 1.000000 4763731.000000 A549 CIP-TAP whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 70 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell CIP - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=CIPTAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapMinusRep3\
type bigWig 1.000000 4763731.000000\
wgEncodeUwTfbsAg09309CtcfStdHotspotsRep2 AG09 CTCF Ht 2 broadPeak AG09309 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 70 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG09 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AG09309 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdHotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_ctss_rev AorticSmsToIL1b_00hr45minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_reverse 0 70 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep1%20%28LK40%29.CNhs13352.12655-134H9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12655-134H9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_tpm_rev AorticSmsToIL1b_00hr45minBr1- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_reverse 1 70 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep1%20%28LK40%29.CNhs13352.12655-134H9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep1 (LK40)_CNhs13352_12655-134H9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12655-134H9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep1LK40_CNhs13352_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12655-134H9\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th0Pk CD4+ Th0 Pk narrowPeak Adult CD4+ Th0 DNaseI HS Peaks from ENCODE/Duke 3 70 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Adult CD4+ Th0 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel CD4+ Th0 Pk\
subGroups view=Peaks cellType=t3ADULTCD4TH0 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th0Pk\
type narrowPeak\
pgNA20846indel GIH NA20846 indel pgSnp GIH NA20846 indel (Complete Genomics) 0 70 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20846 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20846 indel\
subGroups view=C_CG id=CD_div_GS20846 type=Indel\
track pgNA20846indel\
encTfChipPkENCFF930QUM GM06990 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM06990 from ENCODE 3 (ENCFF930QUM) 1 70 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM06990 from ENCODE 3 (ENCFF930QUM)\
parent encTfChipPk off\
shortLabel GM06990 CTCF\
subGroups cellType=GM06990 factor=CTCF\
track encTfChipPkENCFF930QUM\
wgEncodeAwgTfbsHaibGm12878Sp1Pcr1xUniPk GM12878 SP1 narrowPeak GM12878 TFBS Uniform Peaks of SP1 from ENCODE/HudsonAlpha/Analysis 1 70 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of SP1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform on\
shortLabel GM12878 SP1\
subGroups tier=a10 cellType=a10GM12878 factor=SP1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Sp1Pcr1xUniPk\
wgEncodeDukeAffyExonGm12891SimpleSignalRep1V2 GM12891 1 bigBed 6 + GM12891 Exon array Signal Rep 1 from ENCODE/Duke 0 70 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM12891 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM12891 1\
subGroups cellType=t3GM12891 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm12891SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Mef2csc13268V0416101RawRep2 GM78 MEFC V101 2 bigWig 0.227777 159.158997 GM12878 MEF2C v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 70 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MEF2C v041610.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MEFC V101 2\
subGroups view=RawSignal factor=MEF2CSC13268 cellType=t1GM12878 protocol=V0416101 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mef2csc13268V0416101RawRep2\
type bigWig 0.227777 159.158997\
wgEncodeSydhTfbsGm12878Rfx5200401194IggmusSig GM78 RFX5 IgM bigWig 1.000000 12822.000000 GM12878 RFX5 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 70 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 RFX5 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 RFX5 IgM\
subGroups view=Signal factor=RFX5200401194 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Rfx5200401194IggmusSig\
type bigWig 1.000000 12822.000000\
wgEncodeBroadHistoneH1hescPlu1Pk H1-hESC PLU1 broadPeak H1-hESC PLU1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 70 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC PLU1 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC PLU1\
subGroups view=Peaks factor=PLU1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescPlu1Pk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellPapMinusRawSigRep2 H1hSC cel pA+ - 2 bigWig 1.000000 337372.000000 H1-hESC whole cell polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 70 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cel pA+ - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellPapMinusRawSigRep2\
type bigWig 1.000000 337372.000000\
wgEncodeUwDgfHcfaaPk HCFaa Pk narrowPeak HCFaa DNaseI DGF Peaks from ENCODE/UW 0 70 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCFaa DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HCFaa Pk\
subGroups view=Peaks cellType=t3HCFAA treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfaaPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHcpeSimpleSignalRep2 HCPEpiC 2 broadPeak HCPEpiC Exon array Signal Rep 2 from ENCODE/UW 0 70 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCPEpiC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCPEpiC 2\
subGroups cellType=t3HCPEPIC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHcpeSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHct116StanfordSitesRep2 HCT-116 2 bed 9 + HCT-116 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 70 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCT-116 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HCT-116 2\
subGroups cellType=t3HCT116 obtainedBy=Stanford treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHct116StanfordSitesRep2\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdPkRep1 HeLa H3K36M3 Pk 1 narrowPeak HeLa-S3 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 70 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K36M3 Pk 1\
subGroups view=Peaks factor=H3K36ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdPkRep1\
type narrowPeak\
wgEncodeCaltechRnaSeqHepg2R2x75Il200AlignsRep2V2 HepG 2x75 A 2 bam HepG2 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 70 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HepG 2x75 A 2\
subGroups view=Aligns cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Il200AlignsRep2V2\
type bam\
wgEncodeGisRnaPetHepg2CytosolPapClustersRep1 HepG cyto pA+ 1 bed 6 + HepG2 cytosol polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 70 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 cytosol polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HepG cyto pA+ 1\
subGroups view=v1Clusters cellType=bHEPG2 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2CytosolPapClustersRep1\
type bed 6 +\
wgEncodeAwgDnaseUwHpfUniPk HPF DNase narrowPeak HPF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 70 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HPF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HPF DNase\
subGroups tier=a30 cellType=HPF\
track wgEncodeAwgDnaseUwHpfUniPk\
wgEncodeRikenCageK562NucleolusTotalMinusSignal K562 nlus tot - 1 bigWig 0.050000 19662.699219 K562 nucleolus total CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 70 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleolus total CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 nlus tot - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleolusTotalMinusSignal\
type bigWig 0.050000 19662.699219\
wgEncodeOpenChromFaireKidneyocPk Kidney FAIRE Pk narrowPeak Kidney FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 70 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Kidney FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Kidney FAIRE Pk\
subGroups view=Peaks cellType=t3KIDNEYOC treatment=AANONE\
track wgEncodeOpenChromFaireKidneyocPk\
type narrowPeak\
wgEncodeOpenChromChipMcf7CmycSerumstvdPkRep1 MCF-7 cMyc stv Pk narrowPeak MCF-7 serum starved cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 70 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 serum starved cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 cMyc stv Pk\
subGroups view=Peaks factor=CMYC cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CmycSerumstvdPkRep1\
type narrowPeak\
wgEncodeUwRepliSeqMcf7SumSignalRep1 MCF-7 Sd 1 bigWig 1.000000 5286.000000 MCF-7 Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 70 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel MCF-7 Sd 1\
subGroups view=v5SumSignal cellType=t2MCF7 phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqMcf7SumSignalRep1\
type bigWig 1.000000 5286.000000\
wgEncodeUwDnaseMcf7Est100nm1hPkRep2 MCF7 Est1h Pk 2 narrowPeak MCF-7 Estradiol 100 nM 1 hr DNaseI HS Peaks Rep 2 from ENCODE/UW 1 70 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS Peaks Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 Est1h Pk 2\
subGroups view=Peaks cellType=t2MCF7 treatment=EST100NM1H rep=rep2\
track wgEncodeUwDnaseMcf7Est100nm1hPkRep2\
type narrowPeak\
wgEncodeHaibGenotypeNhbeRegionsRep2 NHBE 2 bed 9 + NHBE Copy number variants Replicate 2 from ENCODE/HAIB 0 70 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NHBE Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NHBE 2\
subGroups cellType=t3NHBE obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeNhbeRegionsRep2\
type bed 9 +\
wgEncodeHaibRnaSeqT47dDm002p4hAlnRep1 T-47D DMSO 1 bam T-47D DMSO 4 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 70 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D DMSO 4 hr 0.02% RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D DMSO 1\
subGroups view=Alignments cellType=t3T47D treatment=DM002P4H rep=rep1\
track wgEncodeHaibRnaSeqT47dDm002p4hAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapMinusRep4 A549 cell CIP - 2 bigWig 1.000000 6632740.000000 A549 CIP-TAP whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 71 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell CIP - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=CIPTAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapMinusRep4\
type bigWig 1.000000 6632740.000000\
wgEncodeUwTfbsAg09309CtcfStdPkRep2 AG09 CTCF Pk 2 narrowPeak AG09309 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 71 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG09 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AG09309 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdPkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_ctss_fwd AorticSmsToIL1b_00hr45minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_forward 0 71 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep2%20%28LK41%29.CNhs13372.12753-136A8.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12753-136A8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_tpm_fwd AorticSmsToIL1b_00hr45minBr2+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_forward 1 71 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep2%20%28LK41%29.CNhs13372.12753-136A8.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12753-136A8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th0Sig CD4+ Th0 DS bigWig 0.000000 2.507900 Adult CD4+ Th0 DNaseI HS Density Signal from ENCODE/Duke 2 71 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Adult CD4+ Th0 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel CD4+ Th0 DS\
subGroups view=SIG cellType=t3ADULTCD4TH0 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th0Sig\
type bigWig 0.000000 2.507900\
pgNA20847 GIH NA20847 pgSnp GIH NA20847 (Complete Genomics) 0 71 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20847 (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20847\
subGroups view=C_CG id=CD_div_GS20847 type=SNP\
track pgNA20847\
encTfChipPkENCFF757CRW GM08714 ZNF274 narrowPeak Transcription Factor ChIP-seq Peaks of ZNF274 in GM08714 from ENCODE 3 (ENCFF757CRW) 1 71 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of ZNF274 in GM08714 from ENCODE 3 (ENCFF757CRW)\
parent encTfChipPk off\
shortLabel GM08714 ZNF274\
subGroups cellType=GM08714 factor=ZNF274\
track encTfChipPkENCFF757CRW\
wgEncodeAwgTfbsHaibGm12878Pu1Pcr1xUniPk GM12878 SPI1 narrowPeak GM12878 TFBS Uniform Peaks of PU.1 from ENCODE/HudsonAlpha/Analysis 1 71 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of PU.1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 SPI1\
subGroups tier=a10 cellType=a10GM12878 factor=SPI1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Pu1Pcr1xUniPk\
wgEncodeDukeAffyExonGm12891SimpleSignalRep2V2 GM12891 2 bigBed 6 + GM12891 Exon array Signal Rep 2 from ENCODE/Duke 0 71 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM12891 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM12891 2\
subGroups cellType=t3GM12891 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm12891SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Mta3sc81325V0422111PkRep1 GM78 MTA3 V11 1 broadPeak GM12878 MTA3 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 71 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MTA3 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MTA3 V11 1\
subGroups view=Peaks factor=MTA3SC81325 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mta3sc81325V0422111PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Sin3anb6001263IggmusPk GM78 SIN3A IgM narrowPeak GM12878 SIN3A IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 71 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SIN3A IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 SIN3A IgM\
subGroups view=Peaks factor=SIN3ANB6001263 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Sin3anb6001263IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescPlu1Sig H1-hESC PLU1 bigWig 0.040000 368.399994 H1-hESC PLU1 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 71 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC PLU1 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC PLU1\
subGroups view=Signal factor=PLU1 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescPlu1Sig\
type bigWig 0.040000 368.399994\
wgEncodeCshlLongRnaSeqH1hescCellPapPlusRawSigRep1 H1hSC cel pA+ + 1 bigWig 1.000000 1426609.000000 H1-hESC whole cell polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 71 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cel pA+ + 1\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqH1hescCellPapPlusRawSigRep1\
type bigWig 1.000000 1426609.000000\
wgEncodeUwDgfHcfaaSig HCFaa Sig bigWig 1.000000 62515.000000 HCFaa DNaseI DGF Per-base Signal from ENCODE/UW 2 71 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCFaa DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HCFaa Sig\
subGroups view=Signal cellType=t3HCFAA treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfaaSig\
type bigWig 1.000000 62515.000000\
wgEncodeUwAffyExonArrayHct116SimpleSignalRep1 HCT-116 1 broadPeak HCT-116 Exon array Signal Rep 1 from ENCODE/UW 0 71 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCT-116 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCT-116 1\
subGroups cellType=t3HCT116 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHct116SimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHeeUwSitesRep1 HEEpiC 1 bed 9 + HEEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 71 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEEpiC 1\
subGroups cellType=t3HEEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHeeUwSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdRawRep1 HeLa H3K36M3 Sg 1 bigWig 1.000000 8609.000000 HeLa-S3 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 71 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K36M3 Sg 1\
subGroups view=zRSig factor=H3K36ME3 cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdRawRep1\
type bigWig 1.000000 8609.000000\
wgEncodeCaltechRnaSeqHepg2R2x75Th1014Il200SigRep1V4 HepG 2x75 Sg 1 bigWig 0.024300 222408.000000 HepG2 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 71 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HepG 2x75 Sg 1\
subGroups view=Signal cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Th1014Il200SigRep1V4\
type bigWig 0.024300 222408.000000\
wgEncodeGisRnaPetHepg2CytosolPapMinusRawSigRep1 HepG cyto pA+ - 1 bigWig 1.000000 235211.000000 HepG2 cytosol polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 71 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 cytosol polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HepG cyto pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHEPG2 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2CytosolPapMinusRawSigRep1\
type bigWig 1.000000 235211.000000\
wgEncodeAwgDnaseUwHpdlfUniPk HPdLF DNase narrowPeak HPdLF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 71 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HPdLF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HPdLF DNase\
subGroups tier=a30 cellType=HPdLF\
track wgEncodeAwgDnaseUwHpdlfUniPk\
wgEncodeRikenCageK562NucleolusTotalAln K562 nlus tot A 1 bam K562 nucleolus total CAGE Alignments Rep 1 from ENCODE/RIKEN 0 71 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleolus total CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 nlus tot A 1\
subGroups view=Alignments cellType=t1K562 localization=nucleolus rnaExtract=total rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleolusTotalAln\
type bam\
wgEncodeOpenChromFaireKidneyocSig Kidney FAIRE DS bigWig 0.000000 1.018100 Kidney FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 71 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Kidney FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Kidney FAIRE DS\
subGroups view=SIG cellType=t3KIDNEYOC treatment=AANONE\
track wgEncodeOpenChromFaireKidneyocSig\
type bigWig 0.000000 1.018100\
wgEncodeOpenChromChipMcf7CmycSerumstvdSig MCF-7 cMyc stv DS bigWig 0.000000 1.093700 MCF-7 serum starved cMyc TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 71 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved cMyc TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 cMyc stv DS\
subGroups view=SIG factor=CMYC cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CmycSerumstvdSig\
type bigWig 0.000000 1.093700\
wgEncodeUwDnaseMcf7Estctrl0hPkRep2 MCF7 EstCtrl Pk 2 narrowPeak MCF-7 Estradiol Control 0 hr DNaseI HS Peaks Rep 2 from ENCODE/UW 1 71 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS Peaks Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 EstCtrl Pk 2\
subGroups view=Peaks cellType=t2MCF7 treatment=ESTCTRL0H rep=rep2\
track wgEncodeUwDnaseMcf7Estctrl0hPkRep2\
type narrowPeak\
wgEncodeHaibGenotypeNhdfneoRegionsRep1 NHDF-neo 1 bed 9 + NHDF-neo Copy number variants Replicate 1 from ENCODE/HAIB 0 71 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NHDF-neo Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NHDF-neo 1\
subGroups cellType=t3NHDFNEO obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeNhdfneoRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshG1bPctSignalRep1 SK-N-SH G1b 1 bigWig 1.000000 100.000000 SK-N-SH G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 71 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH G1b 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqSknshG1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dDm002p4hRawRep2 T-47D DMSO 2 bigWig 0.098354 737.018005 T-47D DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 71 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D DMSO 4 hr 0.02% RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D DMSO 2\
subGroups view=RawSignal cellType=t3T47D treatment=DM002P4H rep=rep2\
track wgEncodeHaibRnaSeqT47dDm002p4hRawRep2\
type bigWig 0.098354 737.018005\
wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapPlusRep3 A549 cell CIP + 1 bigWig 1.000000 4744248.000000 A549 CIP-TAP whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 72 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell CIP + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=CIPTAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapPlusRep3\
type bigWig 1.000000 4744248.000000\
wgEncodeUwTfbsAg09309CtcfStdRawRep2 AG09 CTCF Sg 2 bigWig 1.000000 7371.000000 AG09309 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 72 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09309 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG09 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AG09309 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09309CtcfStdRawRep2\
type bigWig 1.000000 7371.000000\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_ctss_rev AorticSmsToIL1b_00hr45minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_reverse 0 72 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep2%20%28LK41%29.CNhs13372.12753-136A8.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12753-136A8 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_tpm_rev AorticSmsToIL1b_00hr45minBr2- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_reverse 1 72 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep2%20%28LK41%29.CNhs13372.12753-136A8.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep2 (LK41)_CNhs13372_12753-136A8_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12753-136A8 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep2LK41_CNhs13372_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12753-136A8\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th0BaseOverlapSignal CD4+ Th0 OS bigWig 0.000000 330.000000 Adult CD4+ Th0 DNaseI HS Overlap Signal from ENCODE/Duke 2 72 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Adult CD4+ Th0 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel CD4+ Th0 OS\
subGroups view=SIGBO cellType=t3ADULTCD4TH0 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th0BaseOverlapSignal\
type bigWig 0.000000 330.000000\
pgNA20847indel GIH NA20847 indel pgSnp GIH NA20847 indel (Complete Genomics) 0 72 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20847 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20847 indel\
subGroups view=C_CG id=CD_div_GS20847 type=Indel\
track pgNA20847indel\
encTfChipPkENCFF855HSK GM10266 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM10266 from ENCODE 3 (ENCFF855HSK) 1 72 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM10266 from ENCODE 3 (ENCFF855HSK)\
parent encTfChipPk off\
shortLabel GM10266 CTCF\
subGroups cellType=GM10266 factor=CTCF\
track encTfChipPkENCFF855HSK\
wgEncodeAwgTfbsHaibGm12878SrfPcr2xUniPk GM12878 SRF narrowPeak GM12878 TFBS Uniform Peaks of SRF from ENCODE/HudsonAlpha/Analysis 1 72 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of SRF from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 SRF\
subGroups tier=a10 cellType=a10GM12878 factor=SRF lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878SrfPcr2xUniPk\
wgEncodeDukeAffyExonGm12892SimpleSignalRep1V2 GM12892 1 bigBed 6 + GM12892 Exon array Signal Rep 1 from ENCODE/Duke 0 72 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM12892 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM12892 1\
subGroups cellType=t3GM12892 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm12892SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Mta3sc81325V0422111RawRep1 GM78 MTA3 V11 1 bigWig 0.124447 108.705002 GM12878 MTA3 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 72 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MTA3 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MTA3 V11 1\
subGroups view=RawSignal factor=MTA3SC81325 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Mta3sc81325V0422111RawRep1\
type bigWig 0.124447 108.705002\
wgEncodeSydhTfbsGm12878Sin3anb6001263IggmusSig GM78 SIN3A IgM bigWig 1.000000 9364.000000 GM12878 SIN3A IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 72 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 SIN3A IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 SIN3A IgM\
subGroups view=Signal factor=SIN3ANB6001263 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Sin3anb6001263IggmusSig\
type bigWig 1.000000 9364.000000\
wgEncodeBroadHistoneH1hescRbbp5a300109aStdPk H1-hESC RBBP5 broadPeak H1-hESC RBBP5 (A300-109A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 72 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC RBBP5 (A300-109A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC RBBP5\
subGroups view=Peaks factor=RBBP5A300109A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescRbbp5a300109aStdPk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCellPapPlusRawSigRep2 H1hSC cel pA+ + 2 bigWig 1.000000 676628.000000 H1-hESC whole cell polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 72 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC whole cell polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cel pA+ + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CELL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCellPapPlusRawSigRep2\
type bigWig 1.000000 676628.000000\
wgEncodeUwDgfHcfaaRaw HCFaa Raw bigWig 1.000000 301616.000000 HCFaa DNaseI DGF Raw Signal from ENCODE/UW 0 72 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCFaa DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HCFaa Raw\
subGroups view=zRaw cellType=t3HCFAA treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcfaaRaw\
type bigWig 1.000000 301616.000000\
wgEncodeUwAffyExonArrayHct116SimpleSignalRep2 HCT-116 2 broadPeak HCT-116 Exon array Signal Rep 2 from ENCODE/UW 0 72 0 0 0 127 127 127 0 0 0 expression 1 longLabel HCT-116 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HCT-116 2\
subGroups cellType=t3HCT116 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHct116SimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHeeUwSitesRep2 HEEpiC 2 bed 9 + HEEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 72 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEEpiC 2\
subGroups cellType=t3HEEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHeeUwSitesRep2\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdHotspotsRep2 HeLa H3K36M3 Ht 2 broadPeak HeLa-S3 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 72 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HeLa H3K36M3 Ht 2\
subGroups view=Hot factor=H3K36ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdHotspotsRep2\
type broadPeak\
wgEncodeCaltechRnaSeqHepg2R2x75Th1014Il200SigRep2V4 HepG 2x75 Sg 2 bigWig 0.024300 201608.000000 HepG2 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 72 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HepG 2x75 Sg 2\
subGroups view=Signal cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Th1014Il200SigRep2V4\
type bigWig 0.024300 201608.000000\
wgEncodeGisRnaPetHepg2CytosolPapPlusRawSigRep1 HepG cyto pA+ + 1 bigWig 1.000000 124707.000000 HepG2 cytosol polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 72 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 cytosol polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HepG cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHEPG2 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2CytosolPapPlusRawSigRep1\
type bigWig 1.000000 124707.000000\
wgEncodeAwgDnaseUwHrcepicUniPk HRCEpiC DNase narrowPeak HRCEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 72 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HRCEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HRCEpiC DNase\
subGroups tier=a30 cellType=HRCEpiC\
track wgEncodeAwgDnaseUwHrcepicUniPk\
wgEncodeRikenCageK562NucleoplasmTotalTssHmmV3 K562 nplm tot bed 6 K562 nucleoplasm total CAGE TSS HMM from ENCODE/RIKEN 3 72 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleoplasm total CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel K562 nplm tot\
subGroups view=TssHmm cellType=t1K562 localization=nucleoplasm rnaExtract=total rep=rep0 rank=rankP\
track wgEncodeRikenCageK562NucleoplasmTotalTssHmmV3\
type bed 6\
wgEncodeOpenChromFaireKidneyocBaseOverlapSignal Kidney FAIRE OS bigWig 0.000000 2031.000000 Kidney FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 72 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Kidney FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Kidney FAIRE OS\
subGroups view=SIGBO cellType=t3KIDNEYOC treatment=AANONE\
track wgEncodeOpenChromFaireKidneyocBaseOverlapSignal\
type bigWig 0.000000 2031.000000\
wgEncodeOpenChromChipMcf7CmycSerumstvdBaseOverlapSignal MCF-7 cMyc stv OS bigWig 0.000000 2682.000000 MCF-7 serum starved cMyc TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 72 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved cMyc TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 cMyc stv OS\
subGroups view=SIGBO factor=CMYC cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CmycSerumstvdBaseOverlapSignal\
type bigWig 0.000000 2682.000000\
wgEncodeUwDnaseMcf7PkRep2 MCF7 Pk 2 narrowPeak MCF-7 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 72 0 0 0 127 127 127 0 0 0 regulation 1 longLabel MCF-7 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel MCF7 Pk 2\
subGroups view=Peaks cellType=t2MCF7 rep=rep2 treatment=None\
track wgEncodeUwDnaseMcf7PkRep2\
type narrowPeak\
wgEncodeHaibGenotypeNt2d1RegionsRep1 NT2-D1 1 bed 9 + NT2-D1 Copy number variants Replicate 1 from ENCODE/HAIB 0 72 0 0 0 127 127 127 0 0 0 varRep 1 longLabel NT2-D1 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel NT2-D1 1\
subGroups cellType=t3NT2D1 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeNt2d1RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshS1PctSignalRep1 SK-N-SH S1 1 bigWig 1.000000 100.000000 SK-N-SH S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 72 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH S1 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqSknshS1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dDm002p4hAlnRep2 T-47D DMSO 2 bam T-47D DMSO 4 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 72 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D DMSO 4 hr 0.02% RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D DMSO 2\
subGroups view=Alignments cellType=t3T47D treatment=DM002P4H rep=rep2\
track wgEncodeHaibRnaSeqT47dDm002p4hAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapPlusRep4 A549 cell CIP + 2 bigWig 1.000000 6610431.000000 A549 CIP-TAP whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 73 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell CIP + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=CIPTAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalCiptapPlusRep4\
type bigWig 1.000000 6610431.000000\
wgEncodeUwTfbsAg09309InputStdRawRep1 AG09 In Sg 1 bigWig 1.000000 7173.000000 AG09309 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 73 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09309 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG09 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AG09309 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09309InputStdRawRep1\
type bigWig 1.000000 7173.000000\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_ctss_fwd AorticSmsToIL1b_00hr45minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_forward 0 73 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep3%20%28LK42%29.CNhs13580.12851-137C7.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12851-137C7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_tpm_fwd AorticSmsToIL1b_00hr45minBr3+ bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_forward 1 73 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep3%20%28LK42%29.CNhs13580.12851-137C7.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12851-137C7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th1Pk CD4+ Th1 Pk narrowPeak Adult CD4+ Th1 DNaseI HS Peaks from ENCODE/Duke 3 73 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Adult CD4+ Th1 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel CD4+ Th1 Pk\
subGroups view=Peaks cellType=t3ADULTCD4TH1 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th1Pk\
type narrowPeak\
pgNA20850 GIH NA20850 pgSnp GIH NA20850 (Complete Genomics) 0 73 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20850 (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20850\
subGroups view=C_CG id=CD_div_GS20850 type=SNP\
track pgNA20850\
encTfChipPkENCFF671RVI GM12864 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12864 from ENCODE 3 (ENCFF671RVI) 1 73 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12864 from ENCODE 3 (ENCFF671RVI)\
parent encTfChipPk off\
shortLabel GM12864 CTCF\
subGroups cellType=GM12864 factor=CTCF\
track encTfChipPkENCFF671RVI\
wgEncodeAwgTfbsSydhGm12878Stat1UniPk GM12878 STAT1 narrowPeak GM12878 TFBS Uniform Peaks of STAT1 from ENCODE/Stanford/Analysis 1 73 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of STAT1 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 STAT1\
subGroups tier=a10 cellType=a10GM12878 factor=STAT1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Stat1UniPk\
wgEncodeDukeAffyExonGm12892SimpleSignalRep2V2 GM12892 2 bigBed 6 + GM12892 Exon array Signal Rep 2 from ENCODE/Duke 0 73 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM12892 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM12892 2\
subGroups cellType=t3GM12892 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm12892SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Mta3sc81325V0422111PkRep2 GM78 MTA3 V11 2 broadPeak GM12878 MTA3 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 73 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 MTA3 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 MTA3 V11 2\
subGroups view=Peaks factor=MTA3SC81325 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mta3sc81325V0422111PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Smc3ab9263IggmusPk GM78 SMC3 IgM narrowPeak GM12878 SMC3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 73 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SMC3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 SMC3 IgM\
subGroups view=Peaks factor=SMC3ab9263 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Smc3ab9263IggmusPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescRbbp5a300109aStdSig H1-hESC RBBP5 bigWig 0.040000 20446.599609 H1-hESC RBBP5 (A300-109A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 73 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC RBBP5 (A300-109A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC RBBP5\
subGroups view=Signal factor=RBBP5A300109A cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescRbbp5a300109aStdSig\
type bigWig 0.040000 20446.599609\
wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaAlnRep2 H1hSC cyt pA- A 2 bam H1-hESC cytosol polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 73 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cyt pA- A 2\
subGroups view=Alignments cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaAlnRep2\
type bam\
wgEncodeUwDgfHcmHotspots HCM Hot broadPeak HCM DNaseI DGF Hotspots from ENCODE/UW 0 73 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCM DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HCM Hot\
subGroups view=Hotspots cellType=t3HCM treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcmHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHeeSimpleSignalRep1 HEEpiC 1 broadPeak HEEpiC Exon array Signal Rep 1 from ENCODE/UW 0 73 0 0 0 127 127 127 0 0 0 expression 1 longLabel HEEpiC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HEEpiC 1\
subGroups cellType=t3HEEPIC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHeeSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHek293StanfordSitesRep1 HEK293 St 1 bed 9 + HEK293 St Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 73 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEK293 St Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEK293 St 1\
subGroups cellType=t3HEK293 obtainedBy=Stanford treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHek293StanfordSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdPkRep2 HeLa H3K36M3 Pk 2 narrowPeak HeLa-S3 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 73 0 119 158 127 187 206 0 0 0 regulation 1 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HeLa H3K36M3 Pk 2\
subGroups view=Peaks factor=H3K36ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdPkRep2\
type narrowPeak\
wgEncodeCaltechRnaSeqHepg2R2x75Il200SplicesRep1V2 HepG 2x75 Sp 1 bam HepG2 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 73 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HepG 2x75 Sp 1\
subGroups view=Splices cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Il200SplicesRep1V2\
type bam\
wgEncodeGisRnaPetHepg2CytosolPapAlnRep1 HepG cyto pA+ A 1 bam HepG2 cytosol polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 73 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 cytosol polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HepG cyto pA+ A 1\
subGroups view=v3Alignments cellType=bHEPG2 cloned=Based localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2CytosolPapAlnRep1\
type bam\
wgEncodeAwgDnaseUwHreUniPk HRE DNase narrowPeak HRE DNaseI HS Uniform Peaks from ENCODE/Analysis 1 73 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HRE DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HRE DNase\
subGroups tier=a30 cellType=HRE\
track wgEncodeAwgDnaseUwHreUniPk\
wgEncodeRikenCageK562NucleoplasmTotalPlusSignal K562 nplm tot + 1 bigWig 0.040000 4464.319824 K562 nucleoplasm total CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 73 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleoplasm total CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 nplm tot + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=nucleoplasm rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleoplasmTotalPlusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipMcf7CmycSerumstimPkRep1 MCF-7 cMyc stm Pk narrowPeak MCF-7 serum stim cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 73 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 serum stim cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 cMyc stm Pk\
subGroups view=Peaks factor=CMYC cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CmycSerumstimPkRep1\
type narrowPeak\
wgEncodeUwDnaseMcf7Est100nm1hRawRep2 MCF7 Est1h Sg 2 bigWig 1.000000 125232.000000 MCF-7 Estradiol 100 nM 1 hr DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 73 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Estradiol 100 nM 1 hr DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 Est1h Sg 2\
subGroups view=zRSig cellType=t2MCF7 treatment=EST100NM1H rep=rep2\
track wgEncodeUwDnaseMcf7Est100nm1hRawRep2\
type bigWig 1.000000 125232.000000\
wgEncodeOpenChromFaireMedulloPk Medullo FAIRE Pk narrowPeak Medullo FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 73 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Medullo FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Medullo FAIRE Pk\
subGroups view=Peaks cellType=t3MEDULLO treatment=AANONE\
track wgEncodeOpenChromFaireMedulloPk\
type narrowPeak\
wgEncodeHaibGenotypeOvcar3RegionsRep1 Ovcar-3 1 bed 9 + Ovcar-3 Copy number variants Replicate 1 from ENCODE/HAIB 0 73 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Ovcar-3 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel Ovcar-3 1\
subGroups cellType=t3OVCAR3 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeOvcar3RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshS2PctSignalRep1 SK-N-SH S2 1 bigWig 1.000000 100.000000 SK-N-SH S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 73 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH S2 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqSknshS2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dEstradia4hRawRep1 T-47D EST 1 bigWig 0.271642 1572.939941 T-47D ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 73 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D EST 1\
subGroups view=RawSignal cellType=t3T47D treatment=EST10NM4H rep=rep1\
track wgEncodeHaibRnaSeqT47dEstradia4hRawRep1\
type bigWig 0.271642 1572.939941\
wgEncodeCshlShortRnaSeqA549CellContigs A549 cell C bed 6 A549 whole cell small RNA-seq Contigs from ENCODE/CSHL 2 74 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cell C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=CELL protocol=NONE rank=none\
track wgEncodeCshlShortRnaSeqA549CellContigs\
type bed 6\
wgEncodeUwTfbsAg09319CtcfStdHotspotsRep1 AG19 CTCF Ht 1 broadPeak AG09319 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 74 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG19 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AG09319 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdHotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_ctss_rev AorticSmsToIL1b_00hr45minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_reverse 0 74 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep3%20%28LK42%29.CNhs13580.12851-137C7.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12851-137C7 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_00hr45minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_tpm_rev AorticSmsToIL1b_00hr45minBr3- bigWig Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_reverse 1 74 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2000hr45min%2c%20biol_rep3%20%28LK42%29.CNhs13580.12851-137C7.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 00hr45min, biol_rep3 (LK42)_CNhs13580_12851-137C7_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12851-137C7 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_00hr45minBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b00hr45minBiolRep3LK42_CNhs13580_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12851-137C7\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th1Sig CD4+ Th1 DS bigWig 0.000000 2.975700 Adult CD4+ Th1 DNaseI HS Density Signal from ENCODE/Duke 2 74 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Adult CD4+ Th1 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel CD4+ Th1 DS\
subGroups view=SIG cellType=t3ADULTCD4TH1 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th1Sig\
type bigWig 0.000000 2.975700\
pgNA20850indel GIH NA20850 indel pgSnp GIH NA20850 indel (Complete Genomics) 0 74 0 0 0 127 127 127 0 0 0 varRep 1 longLabel GIH NA20850 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel GIH NA20850 indel\
subGroups view=C_CG id=CD_div_GS20850 type=Indel\
track pgNA20850indel\
encTfChipPkENCFF132AJR GM12865 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12865 from ENCODE 3 (ENCFF132AJR) 1 74 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12865 from ENCODE 3 (ENCFF132AJR)\
parent encTfChipPk off\
shortLabel GM12865 CTCF\
subGroups cellType=GM12865 factor=CTCF\
track encTfChipPkENCFF132AJR\
wgEncodeAwgTfbsSydhGm12878Stat3IggmusUniPk GM12878 STAT3 narrowPeak GM12878 TFBS Uniform Peaks of STAT3 from ENCODE/Stanford/Analysis 1 74 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of STAT3 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 STAT3\
subGroups tier=a10 cellType=a10GM12878 factor=STAT3 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Stat3IggmusUniPk\
wgEncodeDukeAffyExonGm18507SimpleSignalRep1V2 GM18507 1 bigBed 6 + GM18507 Exon array Signal Rep 1 from ENCODE/Duke 0 74 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM18507 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM18507 1\
subGroups cellType=t3GM18507 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm18507SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Mta3sc81325V0422111RawRep2 GM78 MTA3 V11 2 bigWig 0.124979 102.202003 GM12878 MTA3 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 74 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 MTA3 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 MTA3 V11 2\
subGroups view=RawSignal factor=MTA3SC81325 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Mta3sc81325V0422111RawRep2\
type bigWig 0.124979 102.202003\
wgEncodeSydhTfbsGm12878Smc3ab9263IggmusSig GM78 SMC3 IgM bigWig 1.000000 13469.000000 GM12878 SMC3 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 74 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 SMC3 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 SMC3 IgM\
subGroups view=Signal factor=SMC3ab9263 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Smc3ab9263IggmusSig\
type bigWig 1.000000 13469.000000\
wgEncodeBroadHistoneH1hescSap3039731Pk H1-hESC SAP30 broadPeak H1-hESC SAP30 (39731) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 74 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC SAP30 (39731) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC SAP30\
subGroups view=Peaks factor=SAP3039731 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSap3039731Pk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCytosolPamContigsV2 H1hSC cyt pA- C bed 6 + H1-hESC cytosol polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 74 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC cyt pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqH1hescCytosolPamContigsV2\
type bed 6 +\
wgEncodeUwDgfHcmPk HCM Pk narrowPeak HCM DNaseI DGF Peaks from ENCODE/UW 0 74 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCM DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HCM Pk\
subGroups view=Peaks cellType=t3HCM treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcmPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHeeSimpleSignalRep2 HEEpiC 2 broadPeak HEEpiC Exon array Signal Rep 2 from ENCODE/UW 0 74 0 0 0 127 127 127 0 0 0 expression 1 longLabel HEEpiC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HEEpiC 2\
subGroups cellType=t3HEEPIC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHeeSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHek293UwSitesRep1 HEK293 UW 1 bed 9 + HEK293 UW Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 74 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEK293 UW Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEK293 UW 1\
subGroups cellType=t3HEK293 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHek293UwSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHelas3H3k36me3StdRawRep2 HeLa H3K36M3 Sg 2 bigWig 1.000000 8774.000000 HeLa-S3 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 74 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa H3K36M3 Sg 2\
subGroups view=zRSig factor=H3K36ME3 cellType=t2HELAS3 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHelas3H3k36me3StdRawRep2\
type bigWig 1.000000 8774.000000\
wgEncodeCaltechRnaSeqHepg2R2x75Il200SplicesRep2V2 HepG 2x75 Sp 2 bam HepG2 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 74 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HepG 2x75 Sp 2\
subGroups view=Splices cellType=t2HEPG2 insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R2x75Il200SplicesRep2V2\
type bam\
wgEncodeGisRnaPetHepg2NucleusPapClustersRep1 HepG nucl pA+ 1 bed 6 + HepG2 nucleus polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS 2 74 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 nucleus polyA+ clone-based RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HepG nucl pA+ 1\
subGroups view=v1Clusters cellType=bHEPG2 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2NucleusPapClustersRep1\
type bed 6 +\
wgEncodeAwgDnaseUwHrgecUniPk HRGEC DNase narrowPeak HRGEC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 74 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HRGEC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HRGEC DNase\
subGroups tier=a30 cellType=HRGEC\
track wgEncodeAwgDnaseUwHrgecUniPk\
wgEncodeRikenCageK562NucleoplasmTotalMinusSignal K562 nplm tot - 1 bigWig 0.040000 4464.319824 K562 nucleoplasm total CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 74 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleoplasm total CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 nplm tot - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=nucleoplasm rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleoplasmTotalMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipMcf7CmycSerumstimSig MCF-7 cMyc stm DS bigWig 0.000000 4.694000 MCF-7 serum stim cMyc TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 74 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum stim cMyc TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 cMyc stm DS\
subGroups view=SIG factor=CMYC cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CmycSerumstimSig\
type bigWig 0.000000 4.694000\
wgEncodeUwDnaseMcf7Estctrl0hRawRep2 MCF7 EstCtrl Sg 2 bigWig 1.000000 138143.000000 MCF-7 Estradiol Control 0 hr DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 74 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 Estradiol Control 0 hr DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 EstCtrl Sg 2\
subGroups view=zRSig cellType=t2MCF7 treatment=ESTCTRL0H rep=rep2\
track wgEncodeUwDnaseMcf7Estctrl0hRawRep2\
type bigWig 1.000000 138143.000000\
wgEncodeOpenChromFaireMedulloSig Medullo FAIRE DS bigWig 0.000000 0.433400 Medullo FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 74 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Medullo FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Medullo FAIRE DS\
subGroups view=SIG cellType=t3MEDULLO treatment=AANONE\
track wgEncodeOpenChromFaireMedulloSig\
type bigWig 0.000000 0.433400\
wgEncodeHaibGenotypePanc1RegionsRep1 PANC-1 1 bed 9 + PANC-1 Copy number variants Replicate 1 from ENCODE/HAIB 0 74 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PANC-1 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel PANC-1 1\
subGroups cellType=t3PANC1 obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypePanc1RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshS3PctSignalRep1 SK-N-SH S3 1 bigWig 1.000000 100.000000 SK-N-SH S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 74 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH S3 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqSknshS3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dEstradia4hAlnRep1 T-47D EST 1 bam T-47D ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 74 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D EST 1\
subGroups view=Alignments cellType=t3T47D treatment=EST10NM4H rep=rep1\
track wgEncodeHaibRnaSeqT47dEstradia4hAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalMinusRep3 A549 cell - 1 bigWig 1.000000 14944297.000000 A549 whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 75 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=NONE rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalMinusRep3\
type bigWig 1.000000 14944297.000000\
wgEncodeUwTfbsAg09319CtcfStdPkRep1 AG19 CTCF Pk 1 narrowPeak AG09319 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 75 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG19 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AG09319 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdPkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_ctss_fwd AorticSmsToIL1b_01hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_forward 0 75 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep1%20%28LK43%29.CNhs13353.12656-134I1.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12656-134I1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_01hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_tpm_fwd AorticSmsToIL1b_01hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_forward 1 75 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep1%20%28LK43%29.CNhs13353.12656-134I1.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12656-134I1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_01hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAdultcd4th1BaseOverlapSignal CD4+ Th1 OS bigWig 0.000000 385.000000 Adult CD4+ Th1 DNaseI HS Overlap Signal from ENCODE/Duke 2 75 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Adult CD4+ Th1 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel CD4+ Th1 OS\
subGroups view=SIGBO cellType=t3ADULTCD4TH1 treatment=zNONE\
track wgEncodeOpenChromDnaseAdultcd4th1BaseOverlapSignal\
type bigWig 0.000000 385.000000\
encTfChipPkENCFF295AWO GM12873 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12873 from ENCODE 3 (ENCFF295AWO) 1 75 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12873 from ENCODE 3 (ENCFF295AWO)\
parent encTfChipPk off\
shortLabel GM12873 CTCF\
subGroups cellType=GM12873 factor=CTCF\
track encTfChipPkENCFF295AWO\
wgEncodeAwgTfbsHaibGm12878Stat5asc74442V0422111UniPk GM12878 STAT5A narrowPeak GM12878 TFBS Uniform Peaks of STAT5A_(SC-74442) from ENCODE/HudsonAlpha/Analysis 1 75 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of STAT5A_(SC-74442) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 STAT5A\
subGroups tier=a10 cellType=a10GM12878 factor=STAT5A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Stat5asc74442V0422111UniPk\
wgEncodeDukeAffyExonGm18507SimpleSignalRep2V2 GM18507 2 bigBed 6 + GM18507 Exon array Signal Rep 2 from ENCODE/Duke 0 75 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM18507 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM18507 2\
subGroups cellType=t3GM18507 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm18507SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111PkRep1 GM78 NFATC1 V11 1 broadPeak GM12878 NFATC1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 75 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NFATC1 v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NFATC1 V11 1\
subGroups view=Peaks factor=NFATC1SC17834 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Spt20StdPk GM78 SPT Std narrowPeak GM12878 SPT20 Standard ChIP-seq Peaks from ENCODE/SYDH 3 75 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SPT20 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 SPT Std\
subGroups view=Peaks factor=SPT20 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Spt20StdPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescSap3039731Sig H1-hESC SAP30 bigWig 0.040000 329.559998 H1-hESC SAP30 (39731) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 75 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC SAP30 (39731) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC SAP30\
subGroups view=Signal factor=SAP3039731 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSap3039731Sig\
type bigWig 0.040000 329.559998\
wgEncodeCshlLongRnaSeqH1hescCytosolPamJunctions H1hSC cyt pA- J bed 6 + H1-hESC cytosol polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 75 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC cyt pA- J\
subGroups view=Junctions cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescCytosolPamJunctions\
type bed 6 +\
wgEncodeUwDgfHcmSig HCM Sig bigWig 1.000000 45232.000000 HCM DNaseI DGF Per-base Signal from ENCODE/UW 2 75 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCM DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HCM Sig\
subGroups view=Signal cellType=t3HCM treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcmSig\
type bigWig 1.000000 45232.000000\
wgEncodeUwAffyExonArrayHek293SimpleSignalRep1 HEK293 1 broadPeak HEK293 Exon array Signal Rep 1 from ENCODE/UW 0 75 0 0 0 127 127 127 0 0 0 expression 1 longLabel HEK293 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HEK293 1\
subGroups cellType=t3HEK293 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHek293SimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHek293StanfordSitesRep2 HEK293 St 2 bed 9 + HEK293 St Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 75 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEK293 St Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEK293 St 2\
subGroups cellType=t3HEK293 obtainedBy=Stanford treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHek293StanfordSitesRep2\
type bed 9 +\
wgEncodeUwHistoneHelas3InputStdRawRep1 HeLa In Sg 1 bigWig 1.000000 10388.000000 HeLa-S3 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 75 0 119 158 127 187 206 0 0 0 regulation 0 color 0,119,158\
longLabel HeLa-S3 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HeLa In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2HELAS3 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHelas3InputStdRawRep1\
type bigWig 1.000000 10388.000000\
wgEncodeCaltechRnaSeqHepg2R1x75dAlignsRep1V3 HepG 1x75D A 1 bam HepG2 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 75 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HepG 1x75D A 1\
subGroups view=Aligns cellType=t2HEPG2 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dAlignsRep1V3\
type bam\
wgEncodeGisRnaPetHepg2NucleusPapMinusRawSigRep1 HepG nucl pA+ - 1 bigWig 1.000000 105811.000000 HepG2 nucleus polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS 2 75 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 nucleus polyA+ clone-based RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HepG nucl pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHEPG2 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2NucleusPapMinusRawSigRep1\
type bigWig 1.000000 105811.000000\
wgEncodeAwgDnaseUwHrpepicUniPk HRPEpiC DNase narrowPeak HRPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis 1 75 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HRPEpiC DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HRPEpiC DNase\
subGroups tier=a30 cellType=HRPEpiC\
track wgEncodeAwgDnaseUwHrpepicUniPk\
pgNA18940 JPT NA18940 pgSnp JPT NA18940 (Complete Genomics) 0 75 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18940 (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18940\
subGroups view=C_CG id=CE_div_GS18940 type=SNP\
track pgNA18940\
wgEncodeRikenCageK562NucleoplasmTotalAln K562 nplm tot A 1 bam K562 nucleoplasm total CAGE Alignments Rep 1 from ENCODE/RIKEN 0 75 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleoplasm total CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 nplm tot A 1\
subGroups view=Alignments cellType=t1K562 localization=nucleoplasm rnaExtract=total rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleoplasmTotalAln\
type bam\
wgEncodeOpenChromChipMcf7CmycSerumstimBaseOverlapSignal MCF-7 cMyc stm OS bigWig 0.000000 4340.000000 MCF-7 serum stim cMyc TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 75 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum stim cMyc TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 cMyc stm OS\
subGroups view=SIGBO factor=CMYC cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CmycSerumstimBaseOverlapSignal\
type bigWig 0.000000 4340.000000\
wgEncodeUwDnaseMcf7RawRep2 MCF7 Sg 2 bigWig 1.000000 69705.000000 MCF-7 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 75 0 0 0 127 127 127 0 0 0 regulation 0 longLabel MCF-7 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel MCF7 Sg 2\
subGroups view=zRSig cellType=t2MCF7 rep=rep2 treatment=None\
track wgEncodeUwDnaseMcf7RawRep2\
type bigWig 1.000000 69705.000000\
wgEncodeOpenChromFaireMedulloBaseOverlapSignal Medullo FAIRE OS bigWig 0.000000 3221.000000 Medullo FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 75 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Medullo FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Medullo FAIRE OS\
subGroups view=SIGBO cellType=t3MEDULLO treatment=AANONE\
track wgEncodeOpenChromFaireMedulloBaseOverlapSignal\
type bigWig 0.000000 3221.000000\
wgEncodeHaibGenotypePanc1RegionsRep2 PANC-1 2 bed 9 + PANC-1 Copy number variants Replicate 2 from ENCODE/HAIB 0 75 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PANC-1 Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel PANC-1 2\
subGroups cellType=t3PANC1 obtainedBy=HudsonAlpha treatment=None rep=rep2\
track wgEncodeHaibGenotypePanc1RegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqSknshS4PctSignalRep1 SK-N-SH S4 1 bigWig 1.000000 100.000000 SK-N-SH S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 75 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH S4 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqSknshS4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dEstradia4hRawRep2 T-47D EST 2 bigWig 0.090113 781.908997 T-47D ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 75 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D ESTRADIOL 4 hr 10 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D EST 2\
subGroups view=RawSignal cellType=t3T47D treatment=EST10NM4H rep=rep2\
track wgEncodeHaibRnaSeqT47dEstradia4hRawRep2\
type bigWig 0.090113 781.908997\
wgEncodeCshlShortRnaSeqA549CellShorttotalMinusRep4 A549 cell - 2 bigWig 1.000000 13048663.000000 A549 whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 76 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=NONE rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalMinusRep4\
type bigWig 1.000000 13048663.000000\
wgEncodeUwTfbsAg09319CtcfStdRawRep1 AG19 CTCF Sg 1 bigWig 1.000000 11837.000000 AG09319 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 76 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09319 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG19 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AG09319 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdRawRep1\
type bigWig 1.000000 11837.000000\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_ctss_rev AorticSmsToIL1b_01hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_reverse 0 76 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep1%20%28LK43%29.CNhs13353.12656-134I1.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12656-134I1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_01hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_tpm_rev AorticSmsToIL1b_01hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_reverse 1 76 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep1%20%28LK43%29.CNhs13353.12656-134I1.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep1 (LK43)_CNhs13353_12656-134I1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12656-134I1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_01hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep1LK43_CNhs13353_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12656-134I1\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAosmcSerumfreePk AoSMC Srm Free Pk narrowPeak AoSMC Serum Free Media DNaseI HS Peaks from ENCODE/Duke 3 76 0 0 0 127 127 127 1 0 0 regulation 1 longLabel AoSMC Serum Free Media DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel AoSMC Srm Free Pk\
subGroups view=Peaks cellType=t3AOSMC treatment=SERUMFREE\
track wgEncodeOpenChromDnaseAosmcSerumfreePk\
type narrowPeak\
wgEncodeUwDnaseMonocd14ro1746HotspotsRep2 CD14+ Mono Ht 2 broadPeak Monocytes CD14+ RO01746 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 76 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Monocytes CD14+ RO01746 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel CD14+ Mono Ht 2\
subGroups view=Hot cellType=t2MONOCYTESCD14RO01746 rep=rep2 treatment=None\
track wgEncodeUwDnaseMonocd14ro1746HotspotsRep2\
type broadPeak\
encTfChipPkENCFF446MKT GM12874 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12874 from ENCODE 3 (ENCFF446MKT) 1 76 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12874 from ENCODE 3 (ENCFF446MKT)\
parent encTfChipPk off\
shortLabel GM12874 CTCF\
subGroups cellType=GM12874 factor=CTCF\
track encTfChipPkENCFF446MKT\
wgEncodeAwgTfbsHaibGm12878Taf1Pcr1xUniPk GM12878 TAF1 narrowPeak GM12878 TFBS Uniform Peaks of TAF1 from ENCODE/HudsonAlpha/Analysis 1 76 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TAF1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 TAF1\
subGroups tier=a10 cellType=a10GM12878 factor=TAF1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Taf1Pcr1xUniPk\
wgEncodeDukeAffyExonGm18507SimpleSignalRep3V2 GM18507 3 bigBed 6 + GM18507 Exon array Signal Rep 3 from ENCODE/Duke 0 76 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM18507 Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM18507 3\
subGroups cellType=t3GM18507 treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonGm18507SimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111RawRep1 GM78 NFATC1 V11 1 bigWig 0.134567 119.528999 GM12878 NFATC1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 76 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NFATC1 v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NFATC1 V11 1\
subGroups view=RawSignal factor=NFATC1SC17834 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111RawRep1\
type bigWig 0.134567 119.528999\
wgEncodeSydhTfbsGm12878Spt20StdSig GM78 SPT Std bigWig 1.000000 279087.000000 GM12878 SPT20 Standard ChIP-seq Signal from ENCODE/SYDH 2 76 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 SPT20 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 SPT Std\
subGroups view=Signal factor=SPT20 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Spt20StdSig\
type bigWig 1.000000 279087.000000\
wgEncodeBroadHistoneH1hescSirt6Pk H1-hESC SIRT6 broadPeak H1-hESC SIRT6 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 76 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC SIRT6 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC SIRT6\
subGroups view=Peaks factor=SIRT6 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSirt6Pk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaMinusRawSigRep2 H1hSC cyt pA- - 2 bigWig 1.000000 4084665.000000 H1-hESC cytosol polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 76 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cyt pA- - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 4084665.000000\
wgEncodeUwDgfHcmRaw HCM Raw bigWig 1.000000 290539.000000 HCM DNaseI DGF Raw Signal from ENCODE/UW 0 76 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCM DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HCM Raw\
subGroups view=zRaw cellType=t3HCM treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcmRaw\
type bigWig 1.000000 290539.000000\
wgEncodeUwAffyExonArrayHek293SimpleSignalRep2 HEK293 2 broadPeak HEK293 Exon array Signal Rep 2 from ENCODE/UW 0 76 0 0 0 127 127 127 0 0 0 expression 1 longLabel HEK293 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HEK293 2\
subGroups cellType=t3HEK293 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHek293SimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHek293UwSitesRep2 HEK293 UW 2 bed 9 + HEK293 UW Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 76 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEK293 UW Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HEK293 UW 2\
subGroups cellType=t3HEK293 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHek293UwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHepg2R1x75dAlignsRep2V3 HepG 1x75D A 2 bam HepG2 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 76 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HepG 1x75D A 2\
subGroups view=Aligns cellType=t2HEPG2 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dAlignsRep2V3\
type bam\
wgEncodeUwHistoneHepg2H3k4me3StdHotspotsRep1 HepG H3K4M3 Ht 1 broadPeak HepG2 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 76 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdHotspotsRep1\
type broadPeak\
wgEncodeGisRnaPetHepg2NucleusPapPlusRawSigRep1 HepG nucl pA+ + 1 bigWig 1.000000 101038.000000 HepG2 nucleus polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS 2 76 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 nucleus polyA+ clone-based RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HepG nucl pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHEPG2 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2NucleusPapPlusRawSigRep1\
type bigWig 1.000000 101038.000000\
wgEncodeAwgDnaseUwdukeHsmmUniPk HSMM DNase narrowPeak HSMM DNaseI HS Uniform Peaks from ENCODE/Analysis 1 76 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HSMM DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HSMM DNase\
subGroups tier=a30 cellType=HSMM\
track wgEncodeAwgDnaseUwdukeHsmmUniPk\
pgNA18940indel JPT NA18940 indel pgSnp JPT NA18940 indel (Complete Genomics) 0 76 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18940 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18940 indel\
subGroups view=C_CG id=CE_div_GS18940 type=Indel\
track pgNA18940indel\
wgEncodeRikenCageK562NucleusPamTssHmmV2 K562 nucl pA- bed 6 K562 nucleus polyA- CAGE TSS HMM from ENCODE/RIKEN 3 76 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA- CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm on\
shortLabel K562 nucl pA-\
subGroups view=TssHmm cellType=t1K562 localization=nucleus rnaExtract=pAM rep=rep0 rank=rankP\
track wgEncodeRikenCageK562NucleusPamTssHmmV2\
type bed 6\
wgEncodeOpenChromChipMcf7CmycVehPkRep1 MCF-7 veh cMyc Pk narrowPeak MCF-7 vehicle cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 76 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 vehicle cMyc TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 veh cMyc Pk\
subGroups treatment=VEH view=Peaks factor=CMYC cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CmycVehPkRep1\
type narrowPeak\
wgEncodeOpenChromFaireMrta2041Pk MRT A204.1 F Pk narrowPeak MRT A204.1 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 76 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MRT A204.1 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MRT A204.1 F Pk\
subGroups view=Peaks cellType=t3MRTA204 treatment=AANONE\
track wgEncodeOpenChromFaireMrta2041Pk\
type narrowPeak\
wgEncodeHaibGenotypePfsk1RegionsRep1 PFSK-1 1 bed 9 + PFSK-1 Copy number variants Replicate 1 from ENCODE/HAIB 0 76 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PFSK-1 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel PFSK-1 1\
subGroups cellType=t3PFSK1 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypePfsk1RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshG2PctSignalRep1 SK-N-SH G2 1 bigWig 1.000000 100.000000 SK-N-SH G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 76 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel SK-N-SH G2 1\
subGroups view=v1PctSignal cellType=t2SKNSH phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqSknshG2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeHaibRnaSeqT47dEstradia4hAlnRep2 T-47D EST 2 bam T-47D ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 76 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D ESTRADIOL 4 hr 10 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D EST 2\
subGroups view=Alignments cellType=t3T47D treatment=EST10NM4H rep=rep2\
track wgEncodeHaibRnaSeqT47dEstradia4hAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalPlusRep3 A549 cell + 1 bigWig 1.000000 14934186.000000 A549 whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 77 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=NONE rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalPlusRep3\
type bigWig 1.000000 14934186.000000\
wgEncodeUwTfbsAg09319CtcfStdHotspotsRep2 AG19 CTCF Ht 2 broadPeak AG09319 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 77 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG19 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AG09319 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdHotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_ctss_fwd AorticSmsToIL1b_01hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_forward 0 77 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep2%20%28LK44%29.CNhs13373.12754-136A9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12754-136A9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_01hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_tpm_fwd AorticSmsToIL1b_01hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_forward 1 77 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep2%20%28LK44%29.CNhs13373.12754-136A9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12754-136A9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_01hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAosmcSerumfreeSig AoSMC Srm Free DS bigWig 0.000000 0.726900 AoSMC Serum Free Media DNaseI HS Density Signal from ENCODE/Duke 2 77 0 0 0 127 127 127 1 0 0 regulation 0 longLabel AoSMC Serum Free Media DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel AoSMC Srm Free DS\
subGroups view=SIG cellType=t3AOSMC treatment=SERUMFREE\
track wgEncodeOpenChromDnaseAosmcSerumfreeSig\
type bigWig 0.000000 0.726900\
wgEncodeUwDnaseMonocd14ro1746PkRep2 CD14+ Mono Pk 2 narrowPeak Monocytes CD14+ RO01746 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 77 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Monocytes CD14+ RO01746 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel CD14+ Mono Pk 2\
subGroups view=Peaks cellType=t2MONOCYTESCD14RO01746 rep=rep2 treatment=None\
track wgEncodeUwDnaseMonocd14ro1746PkRep2\
type narrowPeak\
encTfChipPkENCFF733YSO GM12875 CTCF narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12875 from ENCODE 3 (ENCFF733YSO) 1 77 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12875 from ENCODE 3 (ENCFF733YSO)\
parent encTfChipPk off\
shortLabel GM12875 CTCF\
subGroups cellType=GM12875 factor=CTCF\
track encTfChipPkENCFF733YSO\
wgEncodeAwgTfbsSydhGm12878Tblr1ab24550IggmusUniPk GM12878 TBL1XR1 narrowPeak GM12878 TFBS Uniform Peaks of TBLR1_(ab24550) from ENCODE/Stanford/Analysis 1 77 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TBLR1_(ab24550) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 TBL1XR1\
subGroups tier=a10 cellType=a10GM12878 factor=TBL1XR1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Tblr1ab24550IggmusUniPk\
wgEncodeDukeAffyExonGm19238SimpleSignalRep1V2 GM19238 1 bigBed 6 + GM19238 Exon array Signal Rep 1 from ENCODE/Duke 0 77 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19238 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19238 1\
subGroups cellType=t3GM19238 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm19238SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111PkRep2 GM78 NFATC1 V11 2 broadPeak GM12878 NFATC1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 77 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NFATC1 v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NFATC1 V11 2\
subGroups view=Peaks factor=NFATC1SC17834 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Srebp1IggrabPk GM78 SREBP1 IgR narrowPeak GM12878 SREBP1 IgG-rab ChIP-seq Peaks from ENCODE/SYDH 3 77 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SREBP1 IgG-rab ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 SREBP1 IgR\
subGroups view=Peaks factor=SREBP1 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Srebp1IggrabPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescSirt6Sig H1-hESC SIRT6 bigWig 0.040000 397.559998 H1-hESC SIRT6 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 77 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC SIRT6 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC SIRT6\
subGroups view=Signal factor=SIRT6 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSirt6Sig\
type bigWig 0.040000 397.559998\
wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaPlusRawSigRep2 H1hSC cyt pA- + 2 bigWig 1.000000 12750162.000000 H1-hESC cytosol polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 77 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cyt pA- + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 12750162.000000\
wgEncodeUwDgfHcpeHotspots HCPEpiC Hot broadPeak HCPEpiC DNaseI DGF Hotspots from ENCODE/UW 0 77 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCPEpiC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HCPEpiC Hot\
subGroups view=Hotspots cellType=t3HCPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcpeHotspots\
type broadPeak\
wgEncodeHaibMethylRrbsHepatocytesDukeSitesRep1 Hepatocytes 1 bed 9 + Hepatocytes Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 77 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Hepatocytes Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Hepatocytes 1\
subGroups cellType=t3HEPATOCYTES obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHepatocytesDukeSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UMinusRawRep1V4 HepG 1x75D - 1 bigWig -123468.328125 -0.003000 HepG2 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 77 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HepG 1x75D - 1\
subGroups view=MinusSignal cellType=t2HEPG2 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UMinusRawRep1V4\
type bigWig -123468.328125 -0.003000\
wgEncodeUwHistoneHepg2H3k4me3StdPkRep1 HepG H3K4M3 Pk 1 narrowPeak HepG2 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 77 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdPkRep1\
type narrowPeak\
wgEncodeGisRnaPetHepg2NucleusPapAlnRep1 HepG nucl pA+ A 1 bam HepG2 nucleus polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS 0 77 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 nucleus polyA+ clone-based RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HepG nucl pA+ A 1\
subGroups view=v3Alignments cellType=bHEPG2 cloned=Based localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHepg2NucleusPapAlnRep1\
type bam\
wgEncodeUwAffyExonArrayHffSimpleSignalRep1 HFF 1 broadPeak HFF Exon-array Signal Rep 1 from ENCODE/UW 0 77 0 0 0 127 127 127 0 0 0 expression 1 longLabel HFF Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HFF 1\
subGroups cellType=t3HFF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHffSimpleSignalRep1\
type broadPeak\
wgEncodeAwgDnaseDukeHsmmembUniPk HSMM_emb DNase narrowPeak HSMM_emb DNaseI HS Uniform Peaks from ENCODE/Analysis 1 77 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HSMM_emb DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HSMM_emb DNase\
subGroups tier=a30 cellType=HSMM_emb\
track wgEncodeAwgDnaseDukeHsmmembUniPk\
pgNA18942 JPT NA18942 pgSnp JPT NA18942 (Complete Genomics) 0 77 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18942 (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18942\
subGroups view=C_CG id=CE_div_GS18942 type=SNP\
track pgNA18942\
wgEncodeRikenCageK562NucleusPamPlusSignal K562 nucl pA- + 1 bigWig 0.040000 4464.319824 K562 nucleus polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 77 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal on\
shortLabel K562 nucl pA- + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleusPamPlusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipMcf7CmycVehSig MCF-7 veh cMyc DS bigWig 0.000000 3.484600 MCF-7 vehicle cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 77 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 vehicle cMyc TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 veh cMyc DS\
subGroups treatment=VEH view=SIG factor=CMYC cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CmycVehSig\
type bigWig 0.000000 3.484600\
wgEncodeOpenChromFaireMrta2041Sig MRT A204.1 F DS bigWig 0.000000 0.650900 MRT A204.1 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 77 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT A204.1 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MRT A204.1 F DS\
subGroups view=SIG cellType=t3MRTA204 treatment=AANONE\
track wgEncodeOpenChromFaireMrta2041Sig\
type bigWig 0.000000 0.650900\
wgEncodeHaibGenotypePrecRegionsRep1 PrEC 1 bed 9 + PrEC Copy number variants Replicate 1 from ENCODE/HAIB 0 77 0 0 0 127 127 127 0 0 0 varRep 1 longLabel PrEC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel PrEC 1\
subGroups cellType=t3PREC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypePrecRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshPkRep1 SK-N-SH Pk 1 bed 9 SK-N-SH Repli-seq Peaks Rep 1 from ENCODE/UW 0 77 0 0 0 127 127 127 1 0 0 regulation 1 longLabel SK-N-SH Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel SK-N-SH Pk 1\
subGroups view=v2Peaks cellType=t2SKNSH phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqSknshPkRep1\
type bed 9\
wgEncodeHaibRnaSeqT47dGen4hRawRep1 T-47D GEN 1 bigWig 0.256140 872.221008 T-47D GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 77 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D GEN 1\
subGroups view=RawSignal cellType=t3T47D treatment=GEN4H rep=rep1\
track wgEncodeHaibRnaSeqT47dGen4hRawRep1\
type bigWig 0.256140 872.221008\
wgEncodeCshlShortRnaSeqA549CellShorttotalPlusRep4 A549 cell + 2 bigWig 1.000000 9095308.000000 A549 whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 78 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=NONE rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalPlusRep4\
type bigWig 1.000000 9095308.000000\
wgEncodeUwTfbsAg09319CtcfStdPkRep2 AG19 CTCF Pk 2 narrowPeak AG09319 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 78 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG19 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AG09319 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdPkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_ctss_rev AorticSmsToIL1b_01hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_reverse 0 78 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep2%20%28LK44%29.CNhs13373.12754-136A9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12754-136A9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_01hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_tpm_rev AorticSmsToIL1b_01hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_reverse 1 78 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2001hr%2c%20biol_rep2%20%28LK44%29.CNhs13373.12754-136A9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 01hr, biol_rep2 (LK44)_CNhs13373_12754-136A9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12754-136A9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_01hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b01hrBiolRep2LK44_CNhs13373_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12754-136A9\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseAosmcSerumfreeBaseOverlapSignal AoSMC Srm Free OS bigWig 0.000000 151.000000 AoSMC Serum Free Media DNaseI HS Overlap Signal from ENCODE/Duke 2 78 0 0 0 127 127 127 1 0 0 regulation 0 longLabel AoSMC Serum Free Media DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel AoSMC Srm Free OS\
subGroups view=SIGBO cellType=t3AOSMC treatment=SERUMFREE\
track wgEncodeOpenChromDnaseAosmcSerumfreeBaseOverlapSignal\
type bigWig 0.000000 151.000000\
wgEncodeUwDnaseMonocd14ro1746RawRep2 CD14+ Mono Sg 2 bigWig 1.000000 36131.000000 Monocytes CD14+ RO01746 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 78 0 0 0 127 127 127 0 0 0 regulation 0 longLabel Monocytes CD14+ RO01746 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel CD14+ Mono Sg 2\
subGroups view=zRSig cellType=t2MONOCYTESCD14RO01746 rep=rep2 treatment=None\
track wgEncodeUwDnaseMonocd14ro1746RawRep2\
type bigWig 1.000000 36131.000000\
encTfChipPkENCFF027VZK GM12878 ARID3A narrowPeak Transcription Factor ChIP-seq Peaks of ARID3A in GM12878 from ENCODE 3 (ENCFF027VZK) 1 78 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ARID3A in GM12878 from ENCODE 3 (ENCFF027VZK)\
parent encTfChipPk off\
shortLabel GM12878 ARID3A\
subGroups cellType=GM12878 factor=ARID3A\
track encTfChipPkENCFF027VZK\
wgEncodeAwgTfbsSydhGm12878TbpIggmusUniPk GM12878 TBP narrowPeak GM12878 TFBS Uniform Peaks of TBP from ENCODE/Stanford/Analysis 1 78 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TBP from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 TBP\
subGroups tier=a10 cellType=a10GM12878 factor=TBP lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878TbpIggmusUniPk\
wgEncodeDukeAffyExonGm19238SimpleSignalRep2V2 GM19238 2 bigBed 6 + GM19238 Exon array Signal Rep 2 from ENCODE/Duke 0 78 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19238 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19238 2\
subGroups cellType=t3GM19238 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm19238SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111RawRep2 GM78 NFATC1 V11 2 bigWig 0.152496 124.818001 GM12878 NFATC1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 78 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NFATC1 v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NFATC1 V11 2\
subGroups view=RawSignal factor=NFATC1SC17834 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Nfatc1sc17834V0422111RawRep2\
type bigWig 0.152496 124.818001\
wgEncodeSydhTfbsGm12878Srebp1IggrabSig GM78 SREBP1 IgR bigWig 1.000000 568.000000 GM12878 SREBP1 IgG-rab ChIP-seq Signal from ENCODE/SYDH 2 78 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 SREBP1 IgG-rab ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 SREBP1 IgR\
subGroups view=Signal factor=SREBP1 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Srebp1IggrabSig\
type bigWig 1.000000 568.000000\
wgEncodeBroadHistoneH1hescSuz12051317Pk H1-hESC SUZ12 broadPeak H1-hESC SUZ12 (05-1317) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 78 0 107 27 127 181 141 1 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC SUZ12 (05-1317) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel H1-hESC SUZ12\
subGroups view=Peaks factor=SUZ12051317 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSuz12051317Pk\
type broadPeak\
wgEncodeCshlLongRnaSeqH1hescCytosolPapAlnRep2 H1hSC cyt pA+ A 2 bam H1-hESC cytosol polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 78 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC cyt pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolPapAlnRep2\
type bam\
wgEncodeUwDgfHcpePkV2 HCPEpiC Pk narrowPeak HCPEpiC DNaseI DGF Peaks from ENCODE/UW 0 78 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HCPEpiC DNaseI DGF Peaks from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HCPEpiC Pk\
subGroups view=Peaks cellType=t3HCPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcpePkV2\
type narrowPeak\
wgEncodeHaibMethylRrbsHepatocytesDukeSitesRep2 Hepatocytes 2 bed 9 + Hepatocytes Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 78 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Hepatocytes Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel Hepatocytes 2\
subGroups cellType=t3HEPATOCYTES obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHepatocytesDukeSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UMinusRawRep2V4 HepG 1x75D - 2 bigWig -92854.000000 -0.003000 HepG2 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 78 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HepG 1x75D - 2\
subGroups view=MinusSignal cellType=t2HEPG2 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UMinusRawRep2V4\
type bigWig -92854.000000 -0.003000\
wgEncodeUwHistoneHepg2H3k4me3StdRawRep1 HepG H3K4M3 Sg 1 bigWig 1.000000 1372.000000 HepG2 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 78 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdRawRep1\
type bigWig 1.000000 1372.000000\
wgEncodeUwAffyExonArrayHffSimpleSignalRep2 HFF 2 broadPeak HFF Exon-array Signal Rep 2 from ENCODE/UW 0 78 0 0 0 127 127 127 0 0 0 expression 1 longLabel HFF Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HFF 2\
subGroups cellType=t3HFF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHffSimpleSignalRep2\
type broadPeak\
wgEncodeAwgDnaseUwdukeHsmmtubeUniPk HSMMtube DNase narrowPeak HSMMtube DNaseI HS Uniform Peaks from ENCODE/Analysis 1 78 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HSMMtube DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HSMMtube DNase\
subGroups tier=a30 cellType=HSMMtube\
track wgEncodeAwgDnaseUwdukeHsmmtubeUniPk\
wgEncodeGisRnaPetHuvecCytosolPapClustersRep1V2 HUVE cyto pA+ 1 bed 6 + HUVEC cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 78 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC cytosol polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HUVE cyto pA+ 1\
subGroups view=v1Clusters cellType=bHUVEC cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecCytosolPapClustersRep1V2\
type bed 6 +\
pgNA18942indel JPT NA18942 indel pgSnp JPT NA18942 indel (Complete Genomics) 0 78 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18942 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18942 indel\
subGroups view=C_CG id=CE_div_GS18942 type=Indel\
track pgNA18942indel\
wgEncodeRikenCageK562NucleusPamMinusSignal K562 nucl pA- - 1 bigWig 0.040000 4464.319824 K562 nucleus polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 78 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal on\
shortLabel K562 nucl pA- - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleusPamMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeOpenChromChipMcf7CmycVehBaseOverlapSignal MCF-7 veh cMyc OS bigWig 0.000000 4372.000000 MCF-7 vehicle cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 78 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 vehicle cMyc TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 veh cMyc OS\
subGroups treatment=VEH view=SIGBO factor=CMYC cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CmycVehBaseOverlapSignal\
type bigWig 0.000000 4372.000000\
wgEncodeOpenChromFaireMrta2041BaseOverlapSignal MRT A204.1 F OS bigWig 0.000000 1571.000000 MRT A204.1 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 78 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT A204.1 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MRT A204.1 F OS\
subGroups view=SIGBO cellType=t3MRTA204 treatment=AANONE\
track wgEncodeOpenChromFaireMrta2041BaseOverlapSignal\
type bigWig 0.000000 1571.000000\
wgEncodeHaibGenotypeRptecRegionsRep1 RPTEC 1 bed 9 + RPTEC Copy number variants Replicate 1 from ENCODE/HAIB 0 78 0 0 0 127 127 127 0 0 0 varRep 1 longLabel RPTEC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel RPTEC 1\
subGroups cellType=t3RPTEC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeRptecRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshValleysRep1 SK-N-SH Vly 1 bed 9 SK-N-SH Repli-seq Valleys Rep 1 from ENCODE/UW 0 78 0 0 0 127 127 127 1 0 0 regulation 1 longLabel SK-N-SH Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel SK-N-SH Vly 1\
subGroups view=v3Valleys cellType=t2SKNSH phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqSknshValleysRep1\
type bed 9\
wgEncodeHaibRnaSeqT47dGen4hAlnRep1 T-47D GEN 1 bam T-47D GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 78 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D GEN 1\
subGroups view=Alignments cellType=t3T47D treatment=GEN4H rep=rep1\
track wgEncodeHaibRnaSeqT47dGen4hAlnRep1\
type bam\
wgEncodeCshlShortRnaSeqA549CellTapContigsV2 A549 cell TAP C bed 6 A549 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL 2 79 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 TAP-only whole cell small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cell TAP C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=CELL protocol=TAP rank=none\
track wgEncodeCshlShortRnaSeqA549CellTapContigsV2\
type bed 6\
wgEncodeUwDnaseAg04449HotspotsRep1 AG04449 Ht 1 broadPeak AG04449 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 79 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG04449 Ht 1\
subGroups view=Hot cellType=t3AG04449 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04449HotspotsRep1\
type broadPeak\
wgEncodeUwTfbsAg09319CtcfStdRawRep2 AG19 CTCF Sg 2 bigWig 1.000000 16542.000000 AG09319 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 79 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09319 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG19 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AG09319 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg09319CtcfStdRawRep2\
type bigWig 1.000000 16542.000000\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_ctss_fwd AorticSmsToIL1b_02hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_forward 0 79 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep2%20%28LK47%29.CNhs13374.12755-136B1.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12755-136B1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_02hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_tpm_fwd AorticSmsToIL1b_02hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_forward 1 79 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep2%20%28LK47%29.CNhs13374.12755-136B1.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12755-136B1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_02hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseCerebellumocPk Cerbllm Pk narrowPeak Cerebellum OC DNaseI HS Peaks from ENCODE/Duke 3 79 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Cerebellum OC DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel Cerbllm Pk\
subGroups view=Peaks cellType=t3CEREBELLUMOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebellumocPk\
type narrowPeak\
encTfChipPkENCFF166OZW GM12878 ARNT narrowPeak Transcription Factor ChIP-seq Peaks of ARNT in GM12878 from ENCODE 3 (ENCFF166OZW) 1 79 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ARNT in GM12878 from ENCODE 3 (ENCFF166OZW)\
parent encTfChipPk off\
shortLabel GM12878 ARNT\
subGroups cellType=GM12878 factor=ARNT\
track encTfChipPkENCFF166OZW\
wgEncodeAwgTfbsHaibGm12878Tcf12Pcr1xUniPk GM12878 TCF12 narrowPeak GM12878 TFBS Uniform Peaks of TCF12 from ENCODE/HudsonAlpha/Analysis 1 79 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TCF12 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 TCF12\
subGroups tier=a10 cellType=a10GM12878 factor=TCF12 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Tcf12Pcr1xUniPk\
wgEncodeDukeAffyExonGm19239SimpleSignalRep1V2 GM19239 1 bigBed 6 + GM19239 Exon array Signal Rep 1 from ENCODE/Duke 0 79 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19239 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19239 1\
subGroups cellType=t3GM19239 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm19239SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nficsc81335V0422111PkRep1 GM78 NFIC V11 1 broadPeak GM12878 NFIC v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 79 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NFIC v042211.1 ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NFIC V11 1\
subGroups view=Peaks factor=NFICSC81335 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Nficsc81335V0422111PkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Srebp2IggrabPk GM78 SREBP2 IgR narrowPeak GM12878 SREBP2 IgG-rab ChIP-seq Peaks from ENCODE/SYDH 3 79 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 SREBP2 IgG-rab ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 SREBP2 IgR\
subGroups view=Peaks factor=SREBP2 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Srebp2IggrabPk\
type narrowPeak\
wgEncodeBroadHistoneH1hescSuz12051317Sig H1-hESC SUZ12 bigWig 0.040000 398.920013 H1-hESC SUZ12 (05-1317) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 79 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC SUZ12 (05-1317) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC SUZ12\
subGroups view=Signal factor=SUZ12051317 cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescSuz12051317Sig\
type bigWig 0.040000 398.920013\
wgEncodeCshlLongRnaSeqH1hescCytosolPapContigsV2 H1hSC cyt pA+ C bed 6 + H1-hESC cytosol polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 79 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC cyt pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqH1hescCytosolPapContigsV2\
type bed 6 +\
wgEncodeUwDgfHcpeSig HCPEpiC Sig bigWig 1.000000 28712.000000 HCPEpiC DNaseI DGF Per-base Signal from ENCODE/UW 2 79 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCPEpiC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HCPEpiC Sig\
subGroups view=Signal cellType=t3HCPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcpeSig\
type bigWig 1.000000 28712.000000\
wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UPlusRawRep1V4 HepG 1x75D + 1 bigWig 0.025000 117038.125000 HepG2 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 79 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HepG 1x75D + 1\
subGroups view=PlusSignal cellType=t2HEPG2 readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UPlusRawRep1V4\
type bigWig 0.025000 117038.125000\
wgEncodeUwHistoneHepg2H3k4me3StdHotspotsRep2 HepG H3K4M3 Ht 2 broadPeak HepG2 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 79 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdHotspotsRep2\
type broadPeak\
wgEncodeUwAffyExonArrayHffmycSimpleSignalRep1 HFF-Myc 1 broadPeak HFF-Myc Exon-array Signal Rep 1 from ENCODE/UW 0 79 0 0 0 127 127 127 0 0 0 expression 1 longLabel HFF-Myc Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HFF-Myc 1\
subGroups cellType=t3HFFMYC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHffmycSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHipeUwSitesRep1 HIPEpiC 1 bed 9 + HIPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 79 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HIPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HIPEpiC 1\
subGroups cellType=t3HIPEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHipeUwSitesRep1\
type bed 9 +\
wgEncodeAwgDnaseDukeHtr8svnUniPk HTR8svn DNase narrowPeak HTR8svn DNaseI HS Uniform Peaks from ENCODE/Analysis 1 79 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HTR8svn DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HTR8svn DNase\
subGroups tier=a30 cellType=HTR8svn\
track wgEncodeAwgDnaseDukeHtr8svnUniPk\
wgEncodeGisRnaPetHuvecCytosolPapMinusRawRep1V2 HUVE cyto pA+ - 1 bigWig 1.000000 925042.000000 HUVEC cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS 2 79 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC cytosol polyA+ clone-free RNA PET Minus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HUVE cyto pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHUVEC cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecCytosolPapMinusRawRep1V2\
type bigWig 1.000000 925042.000000\
pgNA18947 JPT NA18947 pgSnp JPT NA18947 (Complete Genomics) 0 79 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18947 (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18947\
subGroups view=C_CG id=CE_div_GS18947 type=SNP\
track pgNA18947\
wgEncodeRikenCageK562NucleusPamAln K562 nucl pA- A 1 bam K562 nucleus polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 79 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 nucl pA- A 1\
subGroups view=Alignments cellType=t1K562 localization=nucleus rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562NucleusPamAln\
type bam\
wgEncodeOpenChromChipMcf7CtcfPk MCF-7 CTCF Pk narrowPeak MCF-7 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 79 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 CTCF Pk\
subGroups treatment=AANONE view=Peaks factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfPk\
type narrowPeak\
wgEncodeOpenChromFaireMrtg4016Pk MRT G401.6 F Pk narrowPeak MRT G401.6 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 79 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MRT G401.6 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MRT G401.6 F Pk\
subGroups view=Peaks cellType=t3MRTG401 treatment=AANONE\
track wgEncodeOpenChromFaireMrtg4016Pk\
type narrowPeak\
wgEncodeHaibGenotypeRptecRegionsRep2 RPTEC 2 bed 9 + RPTEC Copy number variants Replicate 2 from ENCODE/HAIB 0 79 0 0 0 127 127 127 0 0 0 varRep 1 longLabel RPTEC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel RPTEC 2\
subGroups cellType=t3RPTEC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeRptecRegionsRep2\
type bed 9 +\
wgEncodeUwRepliSeqSknshWaveSignalRep1 SK-N-SH Ws 1 bigWig -4.517115 80.696381 SK-N-SH Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 79 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal off\
shortLabel SK-N-SH Ws 1\
subGroups view=v4WaveSignal cellType=t2SKNSH phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqSknshWaveSignalRep1\
type bigWig -4.517115 80.696381\
wgEncodeHaibRnaSeqT47dGen4hRawRep2 T-47D GEN 2 bigWig 0.174213 644.237976 T-47D GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 79 0 0 0 127 127 127 0 0 0 expression 0 longLabel T-47D GENISTEIN 4 hr 100 nM RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel T-47D GEN 2\
subGroups view=RawSignal cellType=t3T47D treatment=GEN4H rep=rep2\
track wgEncodeHaibRnaSeqT47dGen4hRawRep2\
type bigWig 0.174213 644.237976\
wgEncodeCshlShortRnaSeqA549CellShorttotalTapMinusRep1V2 A549 cell TAP - 1 bigWig 1.000000 6730925.000000 A549 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 80 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only whole cell small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell TAP - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalTapMinusRep1V2\
type bigWig 1.000000 6730925.000000\
wgEncodeUwDnaseAg04449PkRep1 AG04449 Pk 1 narrowPeak AG04449 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 80 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG04449 Pk 1\
subGroups view=Peaks cellType=t3AG04449 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04449PkRep1\
type narrowPeak\
wgEncodeUwTfbsAg09319InputStdRawRep1 AG19 In Sg 1 bigWig 1.000000 23698.000000 AG09319 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 80 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09319 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG19 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AG09319 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg09319InputStdRawRep1\
type bigWig 1.000000 23698.000000\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_ctss_rev AorticSmsToIL1b_02hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_reverse 0 80 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep2%20%28LK47%29.CNhs13374.12755-136B1.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12755-136B1 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_02hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_tpm_rev AorticSmsToIL1b_02hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_reverse 1 80 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep2%20%28LK47%29.CNhs13374.12755-136B1.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep2 (LK47)_CNhs13374_12755-136B1_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12755-136B1 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_02hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep2LK47_CNhs13374_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12755-136B1\
urlLabel FANTOM5 Details:\
wgEncodeOpenChromDnaseCerebellumocSig Cerbllm DS bigWig 0.000000 1.795000 Cerebellum OC DNaseI HS Density Signal from ENCODE/Duke 2 80 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Cerebellum OC DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel Cerbllm DS\
subGroups view=SIG cellType=t3CEREBELLUMOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebellumocSig\
type bigWig 0.000000 1.795000\
encTfChipPkENCFF917CXD GM12878 ASH2L narrowPeak Transcription Factor ChIP-seq Peaks of ASH2L in GM12878 from ENCODE 3 (ENCFF917CXD) 1 80 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ASH2L in GM12878 from ENCODE 3 (ENCFF917CXD)\
parent encTfChipPk off\
shortLabel GM12878 ASH2L\
subGroups cellType=GM12878 factor=ASH2L\
track encTfChipPkENCFF917CXD\
wgEncodeAwgTfbsHaibGm12878Tcf3Pcr1xUniPk GM12878 TCF3 narrowPeak GM12878 TFBS Uniform Peaks of TCF3_(SC-349) from ENCODE/HudsonAlpha/Analysis 1 80 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of TCF3_(SC-349) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 TCF3\
subGroups tier=a10 cellType=a10GM12878 factor=TCF3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Tcf3Pcr1xUniPk\
wgEncodeDukeAffyExonGm19239SimpleSignalRep2V2 GM19239 2 bigBed 6 + GM19239 Exon array Signal Rep 2 from ENCODE/Duke 0 80 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19239 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19239 2\
subGroups cellType=t3GM19239 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm19239SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nficsc81335V0422111RawRep1 GM78 NFIC V11 1 bigWig 0.137796 126.428001 GM12878 NFIC v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 80 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NFIC v042211.1 ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NFIC V11 1\
subGroups view=RawSignal factor=NFICSC81335 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Nficsc81335V0422111RawRep1\
type bigWig 0.137796 126.428001\
wgEncodeSydhTfbsGm12878Srebp2IggrabSig GM78 SREBP2 IgR bigWig 1.000000 600.000000 GM12878 SREBP2 IgG-rab ChIP-seq Signal from ENCODE/SYDH 2 80 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 SREBP2 IgG-rab ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 SREBP2 IgR\
subGroups view=Signal factor=SREBP2 cellType=t1GM12878 control=IGGRAB treatment=aNONE\
track wgEncodeSydhTfbsGm12878Srebp2IggrabSig\
type bigWig 1.000000 600.000000\
wgEncodeBroadHistoneH1hescControlStdSig H1-hESC Input bigWig 0.040000 10153.759766 H1-hESC Input Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 80 0 107 27 127 181 141 1 0 0 regulation 0 color 0,107,27\
longLabel H1-hESC Input Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel H1-hESC Input\
subGroups view=Signal factor=zCTRL cellType=t1H1HESC treatment=zNONE\
track wgEncodeBroadHistoneH1hescControlStdSig\
type bigWig 0.040000 10153.759766\
wgEncodeCshlLongRnaSeqH1hescCytosolPapJunctions H1hSC cyt pA+ J bed 6 + H1-hESC cytosol polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 80 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC cytosol polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC cyt pA+ J\
subGroups view=Junctions cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescCytosolPapJunctions\
type bed 6 +\
wgEncodeUwDgfHcpeRaw HCPEpiC Raw bigWig 1.000000 96000.000000 HCPEpiC DNaseI DGF Raw Signal from ENCODE/UW 0 80 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HCPEpiC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HCPEpiC Raw\
subGroups view=zRaw cellType=t3HCPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHcpeRaw\
type bigWig 1.000000 96000.000000\
wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UPlusRawRep2V4 HepG 1x75D + 2 bigWig 0.018800 87949.000000 HepG2 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 80 189 0 157 222 127 206 0 0 0 expression 0 color 189,0,157\
longLabel HepG2 single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HepG 1x75D + 2\
subGroups view=PlusSignal cellType=t2HEPG2 readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dTh1014UPlusRawRep2V4\
type bigWig 0.018800 87949.000000\
wgEncodeUwHistoneHepg2H3k4me3StdPkRep2 HepG H3K4M3 Pk 2 narrowPeak HepG2 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 80 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdPkRep2\
type narrowPeak\
wgEncodeUwAffyExonArrayHffmycSimpleSignalRep2 HFF-Myc 2 broadPeak HFF-Myc Exon-array Signal Rep 2 from ENCODE/UW 0 80 0 0 0 127 127 127 0 0 0 expression 1 longLabel HFF-Myc Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HFF-Myc 2\
subGroups cellType=t3HFFMYC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHffmycSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHipeUwSitesRep2 HIPEpiC 2 bed 9 + HIPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 80 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HIPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HIPEpiC 2\
subGroups cellType=t3HIPEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHipeUwSitesRep2\
type bed 9 +\
wgEncodeGisRnaPetHuvecCytosolPapPlusRawRep1V2 HUVE cyto pA+ + 1 bigWig 1.000000 1596070.000000 HUVEC cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS 2 80 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC cytosol polyA+ clone-free RNA PET Plus Signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HUVE cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHUVEC cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecCytosolPapPlusRawRep1V2\
type bigWig 1.000000 1596070.000000\
wgEncodeAwgDnaseUwHvmfUniPk HVMF DNase narrowPeak HVMF DNaseI HS Uniform Peaks from ENCODE/Analysis 1 80 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HVMF DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HVMF DNase\
subGroups tier=a30 cellType=HVMF\
track wgEncodeAwgDnaseUwHvmfUniPk\
pgNA18947indel JPT NA18947 indel pgSnp JPT NA18947 indel (Complete Genomics) 0 80 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18947 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18947 indel\
subGroups view=C_CG id=CE_div_GS18947 type=Indel\
track pgNA18947indel\
wgEncodeRikenCageK562NucleusPapTssHmm K562 nucl pA+ bed 6 K562 nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 80 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm on\
shortLabel K562 nucl pA+\
subGroups view=TssHmm cellType=t1K562 localization=nucleus rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageK562NucleusPapTssHmm\
type bed 6\
wgEncodeOpenChromChipMcf7CtcfSig MCF-7 CTCF DS bigWig 0.000000 10.135200 MCF-7 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 80 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 CTCF DS\
subGroups treatment=AANONE view=SIG factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfSig\
type bigWig 0.000000 10.135200\
wgEncodeOpenChromFaireMrtg4016Sig MRT G401.6 F DS bigWig 0.000000 0.801300 MRT G401.6 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 80 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT G401.6 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MRT G401.6 F DS\
subGroups view=SIG cellType=t3MRTG401 treatment=AANONE\
track wgEncodeOpenChromFaireMrtg4016Sig\
type bigWig 0.000000 0.801300\
wgEncodeHaibGenotypeSaecRegionsRep1 SAEC 1 bed 9 + SAEC Copy number variants Replicate 1 from ENCODE/HAIB 0 80 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SAEC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SAEC 1\
subGroups cellType=t3SAEC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeSaecRegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqSknshSumSignalRep1 SK-N-SH Sd 1 bigWig 1.000000 2886.000000 SK-N-SH Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 80 0 0 0 127 127 127 0 0 0 regulation 0 longLabel SK-N-SH Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel SK-N-SH Sd 1\
subGroups view=v5SumSignal cellType=t2SKNSH phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqSknshSumSignalRep1\
type bigWig 1.000000 2886.000000\
wgEncodeHaibRnaSeqT47dGen4hAlnRep2 T-47D GEN 2 bam T-47D GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 80 0 0 0 127 127 127 0 0 0 expression 1 longLabel T-47D GENISTEIN 4 hr 100 nM RNA-seq Alignments Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel T-47D GEN 2\
subGroups view=Alignments cellType=t3T47D treatment=GEN4H rep=rep2\
track wgEncodeHaibRnaSeqT47dGen4hAlnRep2\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalTapMinusRep2V2 A549 cell TAP - 2 bigWig 1.000000 6935555.000000 A549 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 81 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only whole cell small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cell TAP - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalTapMinusRep2V2\
type bigWig 1.000000 6935555.000000\
wgEncodeUwTfbsAg10803CtcfStdHotspotsRep1 AG03 CTCF Ht 1 broadPeak AG10803 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 81 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG03 CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AG10803 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdHotspotsRep1\
type broadPeak\
wgEncodeUwDnaseAg04449RawRep1 AG04449 Sg 1 bigWig 1.000000 31758.000000 AG04449 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 81 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04449 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG04449 Sg 1\
subGroups view=zRSig cellType=t3AG04449 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04449RawRep1\
type bigWig 1.000000 31758.000000\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_ctss_fwd AorticSmsToIL1b_02hrBr3+ bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_forward 0 81 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep3%20%28LK48%29.CNhs13582.12853-137C9.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12853-137C9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_02hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_tpm_fwd AorticSmsToIL1b_02hrBr3+ bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_forward 1 81 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep3%20%28LK48%29.CNhs13582.12853-137C9.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12853-137C9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_02hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esG1bPctSignalRep1 BG02ES G1b 1 bigWig 1.000000 100.000000 BG02ES G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 81 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES G1b 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqBg02esG1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseCerebellumocBaseOverlapSignal Cerbllm OS bigWig 0.000000 220.000000 Cerebellum OC DNaseI HS Overlap Signal from ENCODE/Duke 2 81 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Cerebellum OC DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel Cerbllm OS\
subGroups view=SIGBO cellType=t3CEREBELLUMOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebellumocBaseOverlapSignal\
type bigWig 0.000000 220.000000\
encTfChipPkENCFF127GYQ GM12878 ATF2 1 narrowPeak Transcription Factor ChIP-seq Peaks of ATF2 in GM12878 from ENCODE 3 (ENCFF127GYQ) 1 81 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ATF2 in GM12878 from ENCODE 3 (ENCFF127GYQ)\
parent encTfChipPk off\
shortLabel GM12878 ATF2 1\
subGroups cellType=GM12878 factor=ATF2\
track encTfChipPkENCFF127GYQ\
wgEncodeAwgTfbsHaibGm12878Usf1Pcr2xUniPk GM12878 USF1 narrowPeak GM12878 TFBS Uniform Peaks of USF-1 from ENCODE/HudsonAlpha/Analysis 1 81 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of USF-1 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 USF1\
subGroups tier=a10 cellType=a10GM12878 factor=USF1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Usf1Pcr2xUniPk\
wgEncodeDukeAffyExonGm19240SimpleSignalRep1V2 GM19240 1 bigBed 6 + GM19240 Exon array Signal Rep 1 from ENCODE/Duke 0 81 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19240 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19240 1\
subGroups cellType=t3GM19240 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonGm19240SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nficsc81335V0422111PkRep2 GM78 NFIC V11 2 broadPeak GM12878 NFIC v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 81 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NFIC v042211.1 ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NFIC V11 2\
subGroups view=Peaks factor=NFICSC81335 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Nficsc81335V0422111PkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Stat1StdPk GM78 STA1 Std narrowPeak GM12878 STAT1 Standard ChIP-seq Peaks from ENCODE/SYDH 3 81 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 STAT1 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 STA1 Std\
subGroups view=Peaks factor=STAT1 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Stat1StdPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqH1hescCytosolPapMinusRawSigRep2 H1hSC cyt pA+ - 2 bigWig 1.000000 250111.000000 H1-hESC cytosol polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 81 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC cyt pA+ - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolPapMinusRawSigRep2\
type bigWig 1.000000 250111.000000\
wgEncodeUwDgfHeeHotspots HEEpiC Hot broadPeak HEEpiC DNaseI DGF Hotspots from ENCODE/UW 0 81 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEEpiC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HEEpiC Hot\
subGroups view=Hotspots cellType=t3HEEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHeeHotspots\
type broadPeak\
wgEncodeAwgDnaseDukeHelas3ifna4hUniPk HeLaS3(IFN) DNase narrowPeak HeLa-S3 (IFNa) DNaseI HS Uniform Peaks from ENCODE/Analysis 1 81 0 0 0 127 127 127 1 0 0 regulation 1 longLabel HeLa-S3 (IFNa) DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel HeLaS3(IFN) DNase\
subGroups tier=a30 cellType=HeLa-S3-IFNa\
track wgEncodeAwgDnaseDukeHelas3ifna4hUniPk\
wgEncodeCaltechRnaSeqHepg2R1x75dSplicesRep1V2 HepG 1x75D Sp 1 bam HepG2 single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 81 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HepG 1x75D Sp 1\
subGroups view=Splices cellType=t2HEPG2 insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dSplicesRep1V2\
type bam\
wgEncodeUwHistoneHepg2H3k4me3StdRawRep2 HepG H3K4M3 Sg 2 bigWig 1.000000 1522.000000 HepG2 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 81 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k4me3StdRawRep2\
type bigWig 1.000000 1522.000000\
wgEncodeUwAffyExonArrayHgfSimpleSignalRep1 HGF 1 broadPeak HGF Exon array Signal Rep 1 from ENCODE/UW 0 81 0 0 0 127 127 127 0 0 0 expression 1 longLabel HGF Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HGF 1\
subGroups cellType=t3HGF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHgfSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHl60UwSitesRep1 HL-60 1 bed 9 + HL-60 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 81 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HL-60 Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HL-60 1\
subGroups cellType=t3HL60 obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHl60UwSitesRep1\
type bed 9 +\
wgEncodeGisRnaPetHuvecCytosolPapAlnRep1V2 HUVE cyto pA+ A 1 bam HUVEC cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 81 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HUVE cyto pA+ A 1\
subGroups view=v3Alignments cellType=bHUVEC cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecCytosolPapAlnRep1V2\
type bam\
pgNA18956 JPT NA18956 pgSnp JPT NA18956 (Complete Genomics) 0 81 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18956 (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18956\
subGroups view=C_CG id=CE_div_GS18956 type=SNP\
track pgNA18956\
wgEncodeBroadHistoneK562Cbpsc369Pk K562 CBP (SC-369) broadPeak K562 CBP (sc-369) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 81 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CBP (sc-369) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CBP (SC-369)\
subGroups view=Peaks factor=CBPSC369 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbpsc369Pk\
type broadPeak\
wgEncodeRikenCageK562NucleusPapPlusSignalRep1 K562 nucl pA+ + 1 bigWig 0.050000 34920.730469 K562 nucleus polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 81 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal on\
shortLabel K562 nucl pA+ + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleusPapPlusSignalRep1\
type bigWig 0.050000 34920.730469\
wgEncodeOpenChromChipMcf7CtcfBaseOverlapSignal MCF-7 CTCF OS bigWig 0.000000 4684.000000 MCF-7 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 81 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 CTCF OS\
subGroups treatment=AANONE view=SIGBO factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfBaseOverlapSignal\
type bigWig 0.000000 4684.000000\
wgEncodeOpenChromFaireMrtg4016BaseOverlapSignal MRT G401.6 F OS bigWig 0.000000 1909.000000 MRT G401.6 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 81 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT G401.6 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MRT G401.6 F OS\
subGroups view=SIGBO cellType=t3MRTG401 treatment=AANONE\
track wgEncodeOpenChromFaireMrtg4016BaseOverlapSignal\
type bigWig 0.000000 1909.000000\
wgEncodeHaibGenotypeSaecRegionsRep2 SAEC 2 bed 9 + SAEC Copy number variants Replicate 2 from ENCODE/HAIB 0 81 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SAEC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SAEC 2\
subGroups cellType=t3SAEC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeSaecRegionsRep2\
type bed 9 +\
wgEncodeHaibRnaSeqU87RawRep1V2 U87 1 bigWig 1.000000 52464.000000 U87 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB 2 81 0 0 0 127 127 127 0 0 0 expression 0 longLabel U87 RNA-seq Raw Signal Rep 1 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel U87 1\
subGroups view=RawSignal cellType=t3U87 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqU87RawRep1V2\
type bigWig 1.000000 52464.000000\
wgEncodeCshlShortRnaSeqA549CellShorttotalTapPlusRep1V2 A549 cell TAP + 1 bigWig 1.000000 6306518.000000 A549 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 82 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only whole cell small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell TAP + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=TAP rep=rep1 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CellShorttotalTapPlusRep1V2\
type bigWig 1.000000 6306518.000000\
wgEncodeUwTfbsAg10803CtcfStdPkRep1 AG03 CTCF Pk 1 narrowPeak AG10803 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 82 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG03 CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AG10803 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdPkRep1\
type narrowPeak\
wgEncodeUwDnaseAg04449HotspotsRep2 AG04449 Ht 2 broadPeak AG04449 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 82 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG04449 Ht 2\
subGroups view=Hot cellType=t3AG04449 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04449HotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_ctss_rev AorticSmsToIL1b_02hrBr3- bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_reverse 0 82 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep3%20%28LK48%29.CNhs13582.12853-137C9.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12853-137C9 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_02hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_tpm_rev AorticSmsToIL1b_02hrBr3- bigWig Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_reverse 1 82 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2002hr%2c%20biol_rep3%20%28LK48%29.CNhs13582.12853-137C9.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 02hr, biol_rep3 (LK48)_CNhs13582_12853-137C9_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12853-137C9 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_02hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b02hrBiolRep3LK48_CNhs13582_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12853-137C9\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esS1PctSignalRep1 BG02ES S1 1 bigWig 1.000000 100.000000 BG02ES S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 82 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES S1 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqBg02esS1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseCerebrumfrontalocPk Cerbrm frnt Pk narrowPeak Cerebrum frontal OC DNaseI HS Peaks from ENCODE/Duke 3 82 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Cerebrum frontal OC DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel Cerbrm frnt Pk\
subGroups view=Peaks cellType=t3CEREBRUMFRONTALOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebrumfrontalocPk\
type narrowPeak\
encTfChipPkENCFF609KOY GM12878 ATF2 2 narrowPeak Transcription Factor ChIP-seq Peaks of ATF2 in GM12878 from ENCODE 3 (ENCFF609KOY) 1 82 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ATF2 in GM12878 from ENCODE 3 (ENCFF609KOY)\
parent encTfChipPk off\
shortLabel GM12878 ATF2 2\
subGroups cellType=GM12878 factor=ATF2\
track encTfChipPkENCFF609KOY\
wgEncodeAwgTfbsSydhGm12878Usf2IggmusUniPk GM12878 USF2 narrowPeak GM12878 TFBS Uniform Peaks of USF2 from ENCODE/Stanford/Analysis 1 82 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of USF2 from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 USF2\
subGroups tier=a10 cellType=a10GM12878 factor=USF2 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Usf2IggmusUniPk\
wgEncodeDukeAffyExonGm19240SimpleSignalRep2V2 GM19240 2 bigBed 6 + GM19240 Exon array Signal Rep 2 from ENCODE/Duke 0 82 0 0 0 127 127 127 1 0 0 expression 1 longLabel GM19240 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel GM19240 2\
subGroups cellType=t3GM19240 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonGm19240SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibTfbsGm12878Nficsc81335V0422111RawRep2 GM78 NFIC V11 2 bigWig 0.150112 255.979004 GM12878 NFIC v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 82 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NFIC v042211.1 ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NFIC V11 2\
subGroups view=RawSignal factor=NFICSC81335 cellType=t1GM12878 protocol=V0422111 treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Nficsc81335V0422111RawRep2\
type bigWig 0.150112 255.979004\
wgEncodeSydhTfbsGm12878Stat1StdSig GM78 STA1 Std bigWig 1.000000 11984.000000 GM12878 STAT1 Standard ChIP-seq Signal from ENCODE/SYDH 2 82 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 STAT1 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 STA1 Std\
subGroups view=Signal factor=STAT1 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Stat1StdSig\
type bigWig 1.000000 11984.000000\
wgEncodeCshlLongRnaSeqH1hescCytosolPapPlusRawSigRep2 H1hSC cyt pA+ + 2 bigWig 1.000000 463028.000000 H1-hESC cytosol polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 82 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC cytosol polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC cyt pA+ + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=CYTOSOL rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescCytosolPapPlusRawSigRep2\
type bigWig 1.000000 463028.000000\
wgEncodeUwDgfHeePk HEEpiC Pk narrowPeak HEEpiC DNaseI DGF Peaks from ENCODE/UW 0 82 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HEEpiC DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HEEpiC Pk\
subGroups view=Peaks cellType=t3HEEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHeePk\
type narrowPeak\
wgEncodeAwgDnaseDukeHepatocytesUniPk Hepatocytes DNase narrowPeak Hepatocytes DNaseI HS Uniform Peaks from ENCODE/Analysis 1 82 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Hepatocytes DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Hepatocytes DNase\
subGroups tier=a30 cellType=Hepatocytes\
track wgEncodeAwgDnaseDukeHepatocytesUniPk\
wgEncodeCaltechRnaSeqHepg2R1x75dSplicesRep2V2 HepG 1x75D Sp 2 bam HepG2 single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 82 189 0 157 222 127 206 0 0 0 expression 1 color 189,0,157\
longLabel HepG2 single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HepG 1x75D Sp 2\
subGroups view=Splices cellType=t2HEPG2 insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHepg2R1x75dSplicesRep2V2\
type bam\
wgEncodeUwHistoneHepg2H3k27me3StdHotspotsRep1 HepG H3K27M3 Ht 1 broadPeak HepG2 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 82 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K27M3 Ht 1\
subGroups view=Hot factor=H3K27ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdHotspotsRep1\
type broadPeak\
wgEncodeUwAffyExonArrayHgfSimpleSignalRep2 HGF 2 broadPeak HGF Exon array Signal Rep 2 from ENCODE/UW 0 82 0 0 0 127 127 127 0 0 0 expression 1 longLabel HGF Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HGF 2\
subGroups cellType=t3HGF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHgfSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHl60UwSitesRep2 HL-60 2 bed 9 + HL-60 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 82 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HL-60 Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HL-60 2\
subGroups cellType=t3HL60 obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHl60UwSitesRep2\
type bed 9 +\
wgEncodeGisRnaPetHuvecNucleusPapClustersRep1 HUVE nucl pA+ 1 bed 6 + HUVEC nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS 2 82 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC nucleus polyA+ clone-free RNA PET Clusters Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel HUVE nucl pA+ 1\
subGroups view=v1Clusters cellType=bHUVEC cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecNucleusPapClustersRep1\
type bed 6 +\
pgNA18956indel JPT NA18956 indel pgSnp JPT NA18956 indel (Complete Genomics) 0 82 0 0 0 127 127 127 0 0 0 varRep 1 longLabel JPT NA18956 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel JPT NA18956 indel\
subGroups view=C_CG id=CE_div_GS18956 type=Indel\
track pgNA18956indel\
wgEncodeBroadHistoneK562Cbpsc369Sig K562 CBP (SC-369) bigWig 0.040000 400.000000 K562 CBP (sc-369) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 82 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CBP (sc-369) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CBP (SC-369)\
subGroups view=Signal factor=CBPSC369 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbpsc369Sig\
type bigWig 0.040000 400.000000\
wgEncodeRikenCageK562NucleusPapPlusSignalRep2 K562 nucl pA+ + 2 bigWig 0.050000 45255.660156 K562 nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 82 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 nucl pA+ + 2\
subGroups view=PlusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562NucleusPapPlusSignalRep2\
type bigWig 0.050000 45255.660156\
wgEncodeOpenChromChipMcf7CtcfEstroPkRep1 MCF-7 est CTCF Pk narrowPeak MCF-7 estrogen CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 82 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 estrogen CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 est CTCF Pk\
subGroups treatment=ESTRO view=Peaks factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfEstroPkRep1\
type narrowPeak\
wgEncodeOpenChromFaireMrtttc549Pk MRT TTC549 F Pk narrowPeak MRT TTC549 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 82 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MRT TTC549 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel MRT TTC549 F Pk\
subGroups view=Peaks cellType=t3MRTTTC549 treatment=AANONE\
track wgEncodeOpenChromFaireMrtttc549Pk\
type narrowPeak\
wgEncodeHaibGenotypeSkmcRegionsRep1 SKMC 1 bed 9 + SKMC Copy number variants Replicate 1 from ENCODE/HAIB 0 82 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SKMC Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SKMC 1\
subGroups cellType=t3SKMC obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeSkmcRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqU87AlnRep1V2 U87 1 bam U87 RNA-seq Alignments Rep 1 from ENCODE/HAIB 0 82 0 0 0 127 127 127 0 0 0 expression 1 longLabel U87 RNA-seq Alignments Rep 1 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel U87 1\
subGroups view=Alignments cellType=t3U87 treatment=zNONE rep=rep1\
track wgEncodeHaibRnaSeqU87AlnRep1V2\
type bam\
wgEncodeCshlShortRnaSeqA549CellShorttotalTapPlusRep2V2 A549 cell TAP + 2 bigWig 1.000000 7325977.000000 A549 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 83 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only whole cell small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cell TAP + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CELL protocol=TAP rep=rep2 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CellShorttotalTapPlusRep2V2\
type bigWig 1.000000 7325977.000000\
wgEncodeUwTfbsAg10803CtcfStdRawRep1 AG03 CTCF Sg 1 bigWig 1.000000 19625.000000 AG10803 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 83 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG10803 CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG03 CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AG10803 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdRawRep1\
type bigWig 1.000000 19625.000000\
wgEncodeUwDnaseAg04449PkRep2 AG04449 Pk 2 narrowPeak AG04449 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 83 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04449 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG04449 Pk 2\
subGroups view=Peaks cellType=t3AG04449 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04449PkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_ctss_fwd AorticSmsToIL1b_03hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_forward 0 83 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep1%20%28LK49%29.CNhs13355.12658-134I3.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12658-134I3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_03hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_tpm_fwd AorticSmsToIL1b_03hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_forward 1 83 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep1%20%28LK49%29.CNhs13355.12658-134I3.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12658-134I3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_03hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esS2PctSignalRep1 BG02ES S2 1 bigWig 1.000000 100.000000 BG02ES S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 83 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES S2 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqBg02esS2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseCerebrumfrontalocSig Cerbrm frnt DS bigWig 0.000000 1.972200 Cerebrum frontal OC DNaseI HS Density Signal from ENCODE/Duke 2 83 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Cerebrum frontal OC DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel Cerbrm frnt DS\
subGroups view=SIG cellType=t3CEREBRUMFRONTALOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebrumfrontalocSig\
type bigWig 0.000000 1.972200\
encTfChipPkENCFF726VEK GM12878 ATF7 narrowPeak Transcription Factor ChIP-seq Peaks of ATF7 in GM12878 from ENCODE 3 (ENCFF726VEK) 1 83 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of ATF7 in GM12878 from ENCODE 3 (ENCFF726VEK)\
parent encTfChipPk off\
shortLabel GM12878 ATF7\
subGroups cellType=GM12878 factor=ATF7\
track encTfChipPkENCFF726VEK\
wgEncodeAwgTfbsSydhGm12878WhipIggmusUniPk GM12878 WRNIP1 narrowPeak GM12878 TFBS Uniform Peaks of WHIP from ENCODE/Stanford/Analysis 1 83 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of WHIP from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 WRNIP1\
subGroups tier=a10 cellType=a10GM12878 factor=WRNIP1 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878WhipIggmusUniPk\
wgEncodeHaibTfbsGm12878NrsfPcr1xPkRep1 GM78 NRSF PCR1 1 broadPeak GM12878 NRSF PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 83 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NRSF PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NRSF PCR1 1\
subGroups view=Peaks factor=NRSF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878NrsfPcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Stat3IggmusPk GM78 STA3 IgM narrowPeak GM12878 STAT3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 83 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 STAT3 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 STA3 IgM\
subGroups view=Peaks factor=STAT3 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Stat3IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaAlnRep2 H1hSC nuc pA- A 2 bam H1-hESC nucleus polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 83 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC nuc pA- A 2\
subGroups view=Alignments cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaAlnRep2\
type bam\
wgEncodeDukeAffyExonH7esSimpleSignalRep1 H7-hESC 1 bigBed 6 + H7-hESC Exon array Signal Rep 1 from ENCODE/Duke 0 83 0 0 0 127 127 127 1 0 0 expression 1 longLabel H7-hESC Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H7-hESC 1\
subGroups cellType=t3H7HESC treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonH7esSimpleSignalRep1\
type bigBed 6 +\
wgEncodeUwDgfHeeSig HEEpiC Sig bigWig 1.000000 120281.000000 HEEpiC DNaseI DGF Per-base Signal from ENCODE/UW 2 83 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HEEpiC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HEEpiC Sig\
subGroups view=Signal cellType=t3HEEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHeeSig\
type bigWig 1.000000 120281.000000\
wgEncodeUwHistoneHepg2H3k27me3StdPkRep1 HepG H3K27M3 Pk 1 narrowPeak HepG2 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 83 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K27M3 Pk 1\
subGroups view=Peaks factor=H3K27ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdPkRep1\
type narrowPeak\
wgEncodeUwAffyExonArrayHipeSimpleSignalRep1 HIPEpiC 1 broadPeak HIPEpiC Exon array Signal Rep 1 from ENCODE/UW 0 83 0 0 0 127 127 127 0 0 0 expression 1 longLabel HIPEpiC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HIPEpiC 1\
subGroups cellType=t3HIPEPIC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHipeSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHmecUwSitesRep1 HMEC 1 bed 9 + HMEC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 83 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMEC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HMEC 1\
subGroups cellType=t3HMEC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHmecUwSitesRep1\
type bed 9 +\
wgEncodeAwgDnaseDukeHuh7UniPk Huh7 DNase narrowPeak Huh7 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 83 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Huh7 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Huh7 DNase\
subGroups tier=a30 cellType=Huh-7\
track wgEncodeAwgDnaseDukeHuh7UniPk\
wgEncodeGisRnaPetHuvecNucleusPapMinusRawRep1 HUVE nucl pA+ - 1 bigWig 1.000000 31077.000000 HUVEC nucleus polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS 2 83 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC nucleus polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel HUVE nucl pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bHUVEC cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecNucleusPapMinusRawRep1\
type bigWig 1.000000 31077.000000\
wgEncodeCaltechRnaSeqHuvecR2x75Il200AlignsRep1V2 HUVEC 2x75 A 1 bam HUVEC 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 83 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HUVEC 2x75 A 1\
subGroups view=Aligns cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Il200AlignsRep1V2\
type bam\
wgEncodeBroadHistoneK562Cbx2Pk K562 CBX2 broadPeak K562 CBX2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 83 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CBX2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CBX2\
subGroups view=Peaks factor=CBX2 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx2Pk\
type broadPeak\
wgEncodeRikenCageK562NucleusPapMinusSignalRep1 K562 nucl pA+ - 1 bigWig 0.050000 16401.419922 K562 nucleus polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 83 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal on\
shortLabel K562 nucl pA+ - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleusPapMinusSignalRep1\
type bigWig 0.050000 16401.419922\
pgNA19017 LWK NA19017 pgSnp LWK NA19017 (Complete Genomics) 0 83 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19017 (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19017\
subGroups view=C_CG id=CF_div_GS19017 type=SNP\
track pgNA19017\
wgEncodeOpenChromChipMcf7CtcfEstroSig MCF-7 est CTCF DS bigWig 0.000000 4.305300 MCF-7 estrogen CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 83 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 estrogen CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 est CTCF DS\
subGroups treatment=ESTRO view=SIG factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfEstroSig\
type bigWig 0.000000 4.305300\
wgEncodeOpenChromFaireMrtttc549Sig MRT TTC549 F DS bigWig 0.000000 0.664800 MRT TTC549 FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 83 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT TTC549 FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel MRT TTC549 F DS\
subGroups view=SIG cellType=t3MRTTTC549 treatment=AANONE\
track wgEncodeOpenChromFaireMrtttc549Sig\
type bigWig 0.000000 0.664800\
wgEncodeHaibGenotypeSkmcRegionsRep2 SKMC 2 bed 9 + SKMC Copy number variants Replicate 2 from ENCODE/HAIB 0 83 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SKMC Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SKMC 2\
subGroups cellType=t3SKMC obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeSkmcRegionsRep2\
type bed 9 +\
wgEncodeHaibRnaSeqU87RawRep2V2 U87 2 bigWig 1.000000 70252.000000 U87 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB 2 83 0 0 0 127 127 127 0 0 0 expression 0 longLabel U87 RNA-seq Raw Signal Rep 2 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewSignal off\
shortLabel U87 2\
subGroups view=RawSignal cellType=t3U87 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqU87RawRep2V2\
type bigWig 1.000000 70252.000000\
wgEncodeCshlShortRnaSeqA549CytosolCiptapContigs A549 cyto CIP C bed 6 A549 CIP-TAP cytosol small RNA-seq Contigs from ENCODE/CSHL 2 84 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 CIP-TAP cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cyto CIP C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=CYTOSOL protocol=CIPTAP rank=none\
track wgEncodeCshlShortRnaSeqA549CytosolCiptapContigs\
type bed 6\
wgEncodeUwTfbsAg10803CtcfStdHotspotsRep2 AG03 CTCF Ht 2 broadPeak AG10803 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 84 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AG03 CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AG10803 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdHotspotsRep2\
type broadPeak\
wgEncodeUwDnaseAg04449RawRep2 AG04449 Sg 2 bigWig 1.000000 35692.000000 AG04449 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 84 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04449 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG04449 Sg 2\
subGroups view=zRSig cellType=t3AG04449 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04449RawRep2\
type bigWig 1.000000 35692.000000\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_ctss_rev AorticSmsToIL1b_03hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_reverse 0 84 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep1%20%28LK49%29.CNhs13355.12658-134I3.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12658-134I3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_03hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_tpm_rev AorticSmsToIL1b_03hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_reverse 1 84 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep1%20%28LK49%29.CNhs13355.12658-134I3.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep1 (LK49)_CNhs13355_12658-134I3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12658-134I3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_03hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep1LK49_CNhs13355_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12658-134I3\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esS3PctSignalRep1 BG02ES S3 1 bigWig 1.000000 100.000000 BG02ES S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 84 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES S3 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqBg02esS3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseCerebrumfrontalocBaseOverlapSignal Cerbrm frnt OS bigWig 0.000000 231.000000 Cerebrum frontal OC DNaseI HS Overlap Signal from ENCODE/Duke 2 84 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Cerebrum frontal OC DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel Cerbrm frnt OS\
subGroups view=SIGBO cellType=t3CEREBRUMFRONTALOC treatment=zNONE\
track wgEncodeOpenChromDnaseCerebrumfrontalocBaseOverlapSignal\
type bigWig 0.000000 231.000000\
encTfChipPkENCFF012JXJ GM12878 BACH1 narrowPeak Transcription Factor ChIP-seq Peaks of BACH1 in GM12878 from ENCODE 3 (ENCFF012JXJ) 1 84 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BACH1 in GM12878 from ENCODE 3 (ENCFF012JXJ)\
parent encTfChipPk off\
shortLabel GM12878 BACH1\
subGroups cellType=GM12878 factor=BACH1\
track encTfChipPkENCFF012JXJ\
wgEncodeAwgTfbsHaibGm12878Yy1sc281Pcr1xUniPk GM12878 YY1 h narrowPeak GM12878 TFBS Uniform Peaks of YY1_(SC-281) from ENCODE/HudsonAlpha/Analysis 1 84 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of YY1_(SC-281) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 YY1 h\
subGroups tier=a10 cellType=a10GM12878 factor=YY1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Yy1sc281Pcr1xUniPk\
wgEncodeHaibTfbsGm12878NrsfPcr1xRawRep1 GM78 NRSF PCR1 1 bigWig 0.274588 164.820999 GM12878 NRSF PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 84 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NRSF PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NRSF PCR1 1\
subGroups view=RawSignal factor=NRSF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878NrsfPcr1xRawRep1\
type bigWig 0.274588 164.820999\
wgEncodeSydhTfbsGm12878Stat3IggmusSig GM78 STA3 IgM bigWig 1.000000 10782.000000 GM12878 STAT3 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 84 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 STAT3 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 STA3 IgM\
subGroups view=Signal factor=STAT3 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Stat3IggmusSig\
type bigWig 1.000000 10782.000000\
wgEncodeCshlLongRnaSeqH1hescNucleusPamContigsV2 H1hSC nuc pA- C bed 6 + H1-hESC nucleus polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 84 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC nuc pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqH1hescNucleusPamContigsV2\
type bed 6 +\
wgEncodeDukeAffyExonH7esSimpleSignalRep2 H7-hESC 2 bigBed 6 + H7-hESC Exon array Signal Rep 2 from ENCODE/Duke 0 84 0 0 0 127 127 127 1 0 0 expression 1 longLabel H7-hESC Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H7-hESC 2\
subGroups cellType=t3H7HESC treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonH7esSimpleSignalRep2\
type bigBed 6 +\
wgEncodeUwDgfHeeRaw HEEpiC Raw bigWig 1.000000 408862.000000 HEEpiC DNaseI DGF Raw Signal from ENCODE/UW 0 84 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HEEpiC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HEEpiC Raw\
subGroups view=zRaw cellType=t3HEEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHeeRaw\
type bigWig 1.000000 408862.000000\
wgEncodeUwHistoneHepg2H3k27me3StdRawRep1 HepG H3K27M3 Sg 1 bigWig 1.000000 2797.000000 HepG2 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 84 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K27M3 Sg 1\
subGroups view=zRSig factor=H3K27ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdRawRep1\
type bigWig 1.000000 2797.000000\
wgEncodeUwAffyExonArrayHipeSimpleSignalRep2 HIPEpiC 2 broadPeak HIPEpiC Exon array Signal Rep 2 from ENCODE/UW 0 84 0 0 0 127 127 127 0 0 0 expression 1 longLabel HIPEpiC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HIPEpiC 2\
subGroups cellType=t3HIPEPIC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHipeSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHmecUwSitesRep2 HMEC 2 bed 9 + HMEC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 84 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMEC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HMEC 2\
subGroups cellType=t3HMEC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHmecUwSitesRep2\
type bed 9 +\
wgEncodeAwgDnaseDukeHuh75UniPk Huh7.5 DNase narrowPeak Huh7.5 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 84 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Huh7.5 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Huh7.5 DNase\
subGroups tier=a30 cellType=Huh-75\
track wgEncodeAwgDnaseDukeHuh75UniPk\
wgEncodeGisRnaPetHuvecNucleusPapPlusRawRep1 HUVE nucl pA+ + 1 bigWig 1.000000 582351.000000 HUVEC nucleus polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS 2 84 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC nucleus polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel HUVE nucl pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bHUVEC cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecNucleusPapPlusRawRep1\
type bigWig 1.000000 582351.000000\
wgEncodeCaltechRnaSeqHuvecR2x75Il200AlignsRep2V2 HUVEC 2x75 A 2 bam HUVEC 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 84 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HUVEC 2x75 A 2\
subGroups view=Aligns cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Il200AlignsRep2V2\
type bam\
wgEncodeBroadHistoneK562Cbx2Sig K562 CBX2 bigWig 0.040000 341.279999 K562 CBX2 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 84 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CBX2 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CBX2\
subGroups view=Signal factor=CBX2 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx2Sig\
type bigWig 0.040000 341.279999\
wgEncodeRikenCageK562NucleusPapMinusSignalRep2 K562 nucl pA+ - 2 bigWig 0.050000 10692.429688 K562 nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 84 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 nucl pA+ - 2\
subGroups view=MinusRawSignal cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562NucleusPapMinusSignalRep2\
type bigWig 0.050000 10692.429688\
pgNA19017indel LWK NA19017 indel pgSnp LWK NA19017 indel (Complete Genomics) 0 84 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19017 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19017 indel\
subGroups view=C_CG id=CF_div_GS19017 type=Indel\
track pgNA19017indel\
wgEncodeOpenChromChipMcf7CtcfEstroBaseOverlapSignal MCF-7 est CTCF OS bigWig 0.000000 4381.000000 MCF-7 estrogen CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 84 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 estrogen CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 est CTCF OS\
subGroups treatment=ESTRO view=SIGBO factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfEstroBaseOverlapSignal\
type bigWig 0.000000 4381.000000\
wgEncodeOpenChromFaireMrtttc549BaseOverlapSignal MRT TTC549 F OS bigWig 0.000000 1553.000000 MRT TTC549 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 84 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MRT TTC549 FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel MRT TTC549 F OS\
subGroups view=SIGBO cellType=t3MRTTTC549 treatment=AANONE\
track wgEncodeOpenChromFaireMrtttc549BaseOverlapSignal\
type bigWig 0.000000 1553.000000\
wgEncodeHaibGenotypeSknshraRegionsRep1 SK-N-SH_RA 1 bed 9 + SK-N-SH_RA Copy number variants Replicate 1 from ENCODE/HAIB 0 84 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SK-N-SH_RA Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SK-N-SH_RA 1\
subGroups cellType=t3SKNSHRA obtainedBy=UW treatment=None rep=rep1\
track wgEncodeHaibGenotypeSknshraRegionsRep1\
type bed 9 +\
wgEncodeHaibRnaSeqU87AlnRep2V2 U87 2 bam U87 RNA-seq Alignments Rep 2 from ENCODE/HAIB 0 84 0 0 0 127 127 127 0 0 0 expression 1 longLabel U87 RNA-seq Alignments Rep 2 from ENCODE/HAIB\
origAssembly hg18\
parent wgEncodeHaibRnaSeqViewAlignments off\
shortLabel U87 2\
subGroups view=Alignments cellType=t3U87 treatment=zNONE rep=rep2\
track wgEncodeHaibRnaSeqU87AlnRep2V2\
type bam\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapMinusRep3 A549 cyto CIP - 1 bigWig 1.000000 4845573.000000 A549 CIP-TAP cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 85 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto CIP - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=CIPTAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapMinusRep3\
type bigWig 1.000000 4845573.000000\
wgEncodeUwTfbsAg10803CtcfStdPkRep2 AG03 CTCF Pk 2 narrowPeak AG10803 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 85 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG10803 CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AG03 CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AG10803 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdPkRep2\
type narrowPeak\
wgEncodeUwDnaseAg04450HotspotsRep1 AG04450 Ht 1 broadPeak AG04450 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 85 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG04450 Ht 1\
subGroups view=Hot cellType=t3AG04450 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04450HotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_ctss_fwd AorticSmsToIL1b_03hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_forward 0 85 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep2%20%28LK50%29.CNhs13375.12756-136B2.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12756-136B2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_03hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_tpm_fwd AorticSmsToIL1b_03hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_forward 1 85 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep2%20%28LK50%29.CNhs13375.12756-136B2.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12756-136B2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_03hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esS4PctSignalRep1 BG02ES S4 1 bigWig 1.000000 100.000000 BG02ES S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 85 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES S4 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqBg02esS4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseChorionPk Chorion Pk narrowPeak Chorion DNaseI HS Peaks from ENCODE/Duke 3 85 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Chorion DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel Chorion Pk\
subGroups view=Peaks cellType=t3CHORION treatment=zNONE\
track wgEncodeOpenChromDnaseChorionPk\
type narrowPeak\
encTfChipPkENCFF593FBF GM12878 BATF narrowPeak Transcription Factor ChIP-seq Peaks of BATF in GM12878 from ENCODE 3 (ENCFF593FBF) 1 85 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BATF in GM12878 from ENCODE 3 (ENCFF593FBF)\
parent encTfChipPk on\
shortLabel GM12878 BATF\
subGroups cellType=GM12878 factor=BATF\
track encTfChipPkENCFF593FBF\
wgEncodeAwgTfbsSydhGm12878Yy1UniPk GM12878 YY1 c narrowPeak GM12878 TFBS Uniform Peaks of YY1 from ENCODE/USC/Analysis 1 85 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of YY1 from ENCODE/USC/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 YY1 c\
subGroups tier=a10 cellType=a10GM12878 factor=YY1 lab=USC\
track wgEncodeAwgTfbsSydhGm12878Yy1UniPk\
wgEncodeHaibTfbsGm12878NrsfPcr1xPkRep2 GM78 NRSF PCR1 2 broadPeak GM12878 NRSF PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 85 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NRSF PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NRSF PCR1 2\
subGroups view=Peaks factor=NRSF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878NrsfPcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Tblr1ab24550IggmusPk GM78 TBLR1 IgM narrowPeak GM12878 TBLR1 AB24550 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 85 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TBLR1 AB24550 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 TBLR1 IgM\
subGroups view=Peaks factor=TBLR1AB24550 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Tblr1ab24550IggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqH1hescNucleusPamJunctions H1hSC nuc pA- J bed 6 + H1-hESC nucleus polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 85 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC nuc pA- J\
subGroups view=Junctions cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescNucleusPamJunctions\
type bed 6 +\
wgEncodeDukeAffyExonH7esSimpleSignalRep3 H7-hESC 3 bigBed 6 + H7-hESC Exon array Signal Rep 3 from ENCODE/Duke 0 85 0 0 0 127 127 127 1 0 0 expression 1 longLabel H7-hESC Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H7-hESC 3\
subGroups cellType=t3H7HESC treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonH7esSimpleSignalRep3\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k27me3StdHotspotsRep2 HepG H3K27M3 Ht 2 broadPeak HepG2 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 85 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K27M3 Ht 2\
subGroups view=Hot factor=H3K27ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdHotspotsRep2\
type broadPeak\
wgEncodeUwDgfHffHotspots HFF Hot broadPeak HFF DNaseI DGF Hotspots from ENCODE/UW 0 85 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HFF DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HFF Hot\
subGroups view=Hotspots cellType=t3HFF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHffHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHl60SimpleSignalRep1 HL-60 1 broadPeak HL-60 Exon array Signal Rep 1 from ENCODE/UW 0 85 0 0 0 127 127 127 0 0 0 expression 1 longLabel HL-60 Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HL-60 1\
subGroups cellType=t3HL60 rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHl60SimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHnpceUwSitesRep1 HNPCEpiC 1 bed 9 + HNPCEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 85 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HNPCEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HNPCEpiC 1\
subGroups cellType=t3HNPCEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHnpceUwSitesRep1\
type bed 9 +\
wgEncodeGisRnaPetHuvecNucleusPapAlnRep1 HUVE nucl pA+ A 1 bam HUVEC nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 85 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC nucleus polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel HUVE nucl pA+ A 1\
subGroups view=v3Alignments cellType=bHUVEC cloned=Free localization=nucleus rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetHuvecNucleusPapAlnRep1\
type bam\
wgEncodeCaltechRnaSeqHuvecR2x75Th1014Il200SigRep1V4 HUVEC 2x75 Sg 1 bigWig 0.025000 140203.156250 HUVEC 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 85 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HUVEC 2x75 Sg 1\
subGroups view=Signal cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Th1014Il200SigRep1V4\
type bigWig 0.025000 140203.156250\
wgEncodeAwgDnaseDukeIpsUniPk iPS DNase narrowPeak iPS DNaseI HS Uniform Peaks from ENCODE/Analysis 1 85 0 0 0 127 127 127 1 0 0 regulation 1 longLabel iPS DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel iPS DNase\
subGroups tier=a30 cellType=IPS\
track wgEncodeAwgDnaseDukeIpsUniPk\
wgEncodeBroadHistoneK562Cbx3sc101004Pk K562 CBX3 broadPeak K562 CBX3 (SC-101004) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 85 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CBX3 (SC-101004) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CBX3\
subGroups view=Peaks factor=CBX3SC101004 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx3sc101004Pk\
type broadPeak\
wgEncodeRikenCageK562NucleusPapAlnRep1 K562 nucl pA+ A 1 bam K562 nucleus polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 85 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 nucl pA+ A 1\
subGroups view=Alignments cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562NucleusPapAlnRep1\
type bam\
pgNA19020 LWK NA19020 pgSnp LWK NA19020 (Complete Genomics) 0 85 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19020 (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19020\
subGroups view=C_CG id=CF_div_GS19020 type=SNP\
track pgNA19020\
wgEncodeOpenChromChipMcf7CtcfSerumstvdPkRep1 MCF-7 CTCF stv Pk narrowPeak MCF-7 serum starved CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 85 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 serum starved CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 CTCF stv Pk\
subGroups view=Peaks factor=CTCF cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CtcfSerumstvdPkRep1\
type narrowPeak\
wgEncodeOpenChromFaireNhaPk NH-A FAIRE Pk narrowPeak NH-A FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 85 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NH-A FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel NH-A FAIRE Pk\
subGroups view=Peaks cellType=t3NHA treatment=AANONE\
track wgEncodeOpenChromFaireNhaPk\
type narrowPeak\
wgEncodeHaibGenotypeSknshraRegionsRep2 SK-N-SH_RA 2 bed 9 + SK-N-SH_RA Copy number variants Replicate 2 from ENCODE/HAIB 0 85 0 0 0 127 127 127 0 0 0 varRep 1 longLabel SK-N-SH_RA Copy number variants Replicate 2 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel SK-N-SH_RA 2\
subGroups cellType=t3SKNSHRA obtainedBy=UW treatment=None rep=rep2\
track wgEncodeHaibGenotypeSknshraRegionsRep2\
type bed 9 +\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapMinusRep4 A549 cyto CIP - 2 bigWig 1.000000 39285896.000000 A549 CIP-TAP cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 86 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto CIP - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=CIPTAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapMinusRep4\
type bigWig 1.000000 39285896.000000\
wgEncodeUwTfbsAg10803CtcfStdRawRep2 AG03 CTCF Sg 2 bigWig 1.000000 21460.000000 AG10803 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 86 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG10803 CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG03 CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AG10803 rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAg10803CtcfStdRawRep2\
type bigWig 1.000000 21460.000000\
wgEncodeUwDnaseAg04450PkRep1 AG04450 Pk 1 narrowPeak AG04450 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 86 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG04450 Pk 1\
subGroups view=Peaks cellType=t3AG04450 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04450PkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_ctss_rev AorticSmsToIL1b_03hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_reverse 0 86 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep2%20%28LK50%29.CNhs13375.12756-136B2.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12756-136B2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_03hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_tpm_rev AorticSmsToIL1b_03hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_reverse 1 86 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2003hr%2c%20biol_rep2%20%28LK50%29.CNhs13375.12756-136B2.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 03hr, biol_rep2 (LK50)_CNhs13375_12756-136B2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12756-136B2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_03hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b03hrBiolRep2LK50_CNhs13375_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12756-136B2\
urlLabel FANTOM5 Details:\
wgEncodeHaibGenotypeBcsmallintestine0111002RegionsRep1 BC Sm Intest 1 bed 9 + BC_Small_Intestine_01-11002 Copy number variants Replicate 1 from ENCODE/HAIB 0 86 0 0 0 127 127 127 0 0 0 varRep 1 longLabel BC_Small_Intestine_01-11002 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel BC Sm Intest 1\
subGroups cellType=t3SMALLINTESTINEBC0111002 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeBcsmallintestine0111002RegionsRep1\
type bed 9 +\
wgEncodeUwRepliSeqBg02esG2PctSignalRep1 BG02ES G2 1 bigWig 1.000000 100.000000 BG02ES G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 86 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BG02ES G2 1\
subGroups view=v1PctSignal cellType=t3BG02ES phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqBg02esG2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseChorionSig Chorion DS bigWig 0.000000 1.413200 Chorion DNaseI HS Density Signal from ENCODE/Duke 2 86 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Chorion DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel Chorion DS\
subGroups view=SIG cellType=t3CHORION treatment=zNONE\
track wgEncodeOpenChromDnaseChorionSig\
type bigWig 0.000000 1.413200\
encTfChipPkENCFF468MFY GM12878 BCL11A narrowPeak Transcription Factor ChIP-seq Peaks of BCL11A in GM12878 from ENCODE 3 (ENCFF468MFY) 1 86 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BCL11A in GM12878 from ENCODE 3 (ENCFF468MFY)\
parent encTfChipPk off\
shortLabel GM12878 BCL11A\
subGroups cellType=GM12878 factor=BCL11A\
track encTfChipPkENCFF468MFY\
wgEncodeAwgTfbsHaibGm12878Zbtb33Pcr1xUniPk GM12878 ZBTB33 narrowPeak GM12878 TFBS Uniform Peaks of ZBTB33 from ENCODE/HudsonAlpha/Analysis 1 86 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ZBTB33 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ZBTB33\
subGroups tier=a10 cellType=a10GM12878 factor=ZBTB33 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Zbtb33Pcr1xUniPk\
wgEncodeHaibTfbsGm12878NrsfPcr1xRawRep2 GM78 NRSF PCR1 2 bigWig 0.252183 615.265015 GM12878 NRSF PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 86 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NRSF PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NRSF PCR1 2\
subGroups view=RawSignal factor=NRSF cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878NrsfPcr1xRawRep2\
type bigWig 0.252183 615.265015\
wgEncodeSydhTfbsGm12878Tblr1ab24550IggmusSig GM78 TBLR1 IgM bigWig 1.000000 12597.000000 GM12878 TBLR1 AB24550 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 86 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 TBLR1 AB24550 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 TBLR1 IgM\
subGroups view=Signal factor=TBLR1AB24550 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Tblr1ab24550IggmusSig\
type bigWig 1.000000 12597.000000\
wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaMinusRawSigRep2 H1hSC nuc pA- - 2 bigWig 1.000000 3290208.000000 H1-hESC nucleus polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 86 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC nuc pA- - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 3290208.000000\
wgEncodeDukeAffyExonH9esSimpleSignalRep1V2 H9ES 1 bigBed 6 + H9ES Exon array Signal Rep 1 from ENCODE/Duke 0 86 0 0 0 127 127 127 1 0 0 expression 1 longLabel H9ES Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H9ES 1\
subGroups cellType=t3H9ES treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonH9esSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k27me3StdPkRep2 HepG H3K27M3 Pk 2 narrowPeak HepG2 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 86 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K27M3 Pk 2\
subGroups view=Peaks factor=H3K27ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdPkRep2\
type narrowPeak\
wgEncodeUwDgfHffPk HFF Pk narrowPeak HFF DNaseI DGF Peaks from ENCODE/UW 0 86 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HFF DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HFF Pk\
subGroups view=Peaks cellType=t3HFF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHffPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHl60SimpleSignalRep2 HL-60 2 broadPeak HL-60 Exon array Signal Rep 2 from ENCODE/UW 0 86 0 0 0 127 127 127 0 0 0 expression 1 longLabel HL-60 Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HL-60 2\
subGroups cellType=t3HL60 rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHl60SimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHnpceUwSitesRep2 HNPCEpiC 2 bed 9 + HNPCEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 86 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HNPCEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HNPCEpiC 2\
subGroups cellType=t3HNPCEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHnpceUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR2x75Th1014Il200SigRep2V4 HUVEC 2x75 Sg 2 bigWig 0.025000 109492.835938 HUVEC 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech 2 86 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel HUVEC 2x75 Sg 2\
subGroups view=Signal cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Th1014Il200SigRep2V4\
type bigWig 0.025000 109492.835938\
wgEncodeGisRnaPetImr90CellPapClusters IMR9 cell pA+ bed 6 + IMR90 whole cell polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 86 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 whole cell polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel IMR9 cell pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP\
track wgEncodeGisRnaPetImr90CellPapClusters\
type bed 6 +\
wgEncodeAwgDnaseDukeIshikawaestradiolUniPk Ishika(Est) DNase narrowPeak Ishikawa (Estradiol) DNaseI HS Uniform Peaks from ENCODE/Analysis 1 86 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Ishikawa (Estradiol) DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Ishika(Est) DNase\
subGroups tier=a30 cellType=Ishikawa-Estr\
track wgEncodeAwgDnaseDukeIshikawaestradiolUniPk\
wgEncodeBroadHistoneK562Cbx3sc101004Sig K562 CBX3 bigWig 0.040000 400.000000 K562 CBX3 (SC-101004) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 86 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CBX3 (SC-101004) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CBX3\
subGroups view=Signal factor=CBX3SC101004 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx3sc101004Sig\
type bigWig 0.040000 400.000000\
wgEncodeRikenCageK562NucleusPapAlnRep2 K562 nucl pA+ A 2 bam K562 nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 86 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 nucleus polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 nucl pA+ A 2\
subGroups view=Alignments cellType=t1K562 localization=nucleus rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562NucleusPapAlnRep2\
type bam\
pgNA19020indel LWK NA19020 indel pgSnp LWK NA19020 indel (Complete Genomics) 0 86 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19020 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19020 indel\
subGroups view=C_CG id=CF_div_GS19020 type=Indel\
track pgNA19020indel\
wgEncodeOpenChromChipMcf7CtcfSerumstvdSig MCF-7 CTCF stv DS bigWig 0.000000 8.219700 MCF-7 serum starved CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 86 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 CTCF stv DS\
subGroups view=SIG factor=CTCF cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CtcfSerumstvdSig\
type bigWig 0.000000 8.219700\
wgEncodeOpenChromFaireNhaSig NH-A FAIRE DS bigWig 0.000000 0.459700 NH-A FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 86 0 0 0 127 127 127 1 0 0 regulation 0 longLabel NH-A FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel NH-A FAIRE DS\
subGroups view=SIG cellType=t3NHA treatment=AANONE\
track wgEncodeOpenChromFaireNhaSig\
type bigWig 0.000000 0.459700\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapPlusRep3 A549 cyto CIP + 1 bigWig 1.000000 4828783.000000 A549 CIP-TAP cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 87 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto CIP + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=CIPTAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapPlusRep3\
type bigWig 1.000000 4828783.000000\
wgEncodeUwTfbsAg10803InputStdRawRep1 AG03 In Sg 1 bigWig 1.000000 21401.000000 AG10803 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 87 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG10803 Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AG03 In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AG10803 rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAg10803InputStdRawRep1\
type bigWig 1.000000 21401.000000\
wgEncodeUwDnaseAg04450RawRep1 AG04450 Sg 1 bigWig 1.000000 23646.000000 AG04450 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 87 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04450 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG04450 Sg 1\
subGroups view=zRSig cellType=t3AG04450 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg04450RawRep1\
type bigWig 1.000000 23646.000000\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_ctss_fwd AorticSmsToIL1b_04hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_forward 0 87 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep1%20%28LK52%29.CNhs13682.12659-134I4.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12659-134I4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_tpm_fwd AorticSmsToIL1b_04hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_forward 1 87 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep1%20%28LK52%29.CNhs13682.12659-134I4.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12659-134I4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esPkRep1 BG02ES Pk 1 bed 9 BG02ES Repli-seq Peaks Rep 1 from ENCODE/UW 0 87 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BG02ES Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel BG02ES Pk 1\
subGroups view=v2Peaks cellType=t3BG02ES phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBg02esPkRep1\
type bed 9\
wgEncodeOpenChromDnaseChorionBaseOverlapSignal Chorion OS bigWig 0.000000 286.000000 Chorion DNaseI HS Overlap Signal from ENCODE/Duke 2 87 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Chorion DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel Chorion OS\
subGroups view=SIGBO cellType=t3CHORION treatment=zNONE\
track wgEncodeOpenChromDnaseChorionBaseOverlapSignal\
type bigWig 0.000000 286.000000\
encTfChipPkENCFF625SHY GM12878 BCL3 narrowPeak Transcription Factor ChIP-seq Peaks of BCL3 in GM12878 from ENCODE 3 (ENCFF625SHY) 1 87 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BCL3 in GM12878 from ENCODE 3 (ENCFF625SHY)\
parent encTfChipPk off\
shortLabel GM12878 BCL3\
subGroups cellType=GM12878 factor=BCL3\
track encTfChipPkENCFF625SHY\
wgEncodeAwgTfbsHaibGm12878Zeb1sc25388V0416102UniPk GM12878 ZEB1 narrowPeak GM12878 TFBS Uniform Peaks of ZEB1_(SC-25388) from ENCODE/HudsonAlpha/Analysis 1 87 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ZEB1_(SC-25388) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ZEB1\
subGroups tier=a10 cellType=a10GM12878 factor=ZEB1 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibGm12878Zeb1sc25388V0416102UniPk\
wgEncodeHaibTfbsGm12878NrsfPcr2xPkRep1 GM78 NRSF PCR2 1 broadPeak GM12878 NRSF PCR2x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 87 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NRSF PCR2x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NRSF PCR2 1\
subGroups view=Peaks factor=NRSF cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878NrsfPcr2xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878TbpIggmusPk GM78 TBP IgM narrowPeak GM12878 TBP IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 87 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TBP IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 TBP IgM\
subGroups view=Peaks factor=TBP cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878TbpIggmusPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaPlusRawSigRep2 H1hSC nuc pA- + 2 bigWig 1.000000 8968383.000000 H1-hESC nucleus polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 87 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA- RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC nuc pA- + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusLongnonpolyaPlusRawSigRep2\
type bigWig 1.000000 8968383.000000\
wgEncodeDukeAffyExonH9esSimpleSignalRep2 H9ES 2 bigBed 6 + H9ES Exon array Signal Rep 2 from ENCODE/Duke 0 87 0 0 0 127 127 127 1 0 0 expression 1 longLabel H9ES Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H9ES 2\
subGroups cellType=t3H9ES treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonH9esSimpleSignalRep2\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k27me3StdRawRep2 HepG H3K27M3 Sg 2 bigWig 1.000000 3019.000000 HepG2 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 87 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K27me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K27M3 Sg 2\
subGroups view=zRSig factor=H3K27ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k27me3StdRawRep2\
type bigWig 1.000000 3019.000000\
wgEncodeUwDgfHffSig HFF Sig bigWig 1.000000 25572.000000 HFF DNaseI DGF Per-base Signal from ENCODE/UW 2 87 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HFF DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HFF Sig\
subGroups view=Signal cellType=t3HFF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHffSig\
type bigWig 1.000000 25572.000000\
wgEncodeUwAffyExonArrayHmecSimpleSignalRep1 HMEC 1 broadPeak HMEC Exon array Signal Rep 1 from ENCODE/UW 0 87 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMEC Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMEC 1\
subGroups cellType=t3HMEC rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmecSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHpaeUwSitesRep1 HPAEpiC 1 bed 9 + HPAEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 87 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HPAEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HPAEpiC 1\
subGroups cellType=t3HPAEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHpaeUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR2x75Il200SplicesRep1V2 HUVEC 2x75 Sp 1 bam HUVEC 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 87 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HUVEC 2x75 Sp 1\
subGroups view=Splices cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Il200SplicesRep1V2\
type bam\
wgEncodeGisRnaPetImr90CellPapMinusRawRep1 IMR9 cell pA+ - 1 bigWig 1.000000 787688.000000 IMR90 whole cell polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS 2 87 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 whole cell polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel IMR9 cell pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CellPapMinusRawRep1\
type bigWig 1.000000 787688.000000\
wgEncodeAwgDnaseDukeIshikawatamoxifenUniPk Ishika(Tam) DNase narrowPeak Ishikawa (Tamoxifen) DNaseI HS Uniform Peaks from ENCODE/Analysis 1 87 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Ishikawa (Tamoxifen) DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Ishika(Tam) DNase\
subGroups tier=a30 cellType=Ishikawa-Tamox\
track wgEncodeAwgDnaseDukeIshikawatamoxifenUniPk\
wgEncodeBroadHistoneK562Cbx8Pk K562 CBX8 broadPeak K562 CBX8 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 87 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CBX8 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CBX8\
subGroups view=Peaks factor=CBX8 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx8Pk\
type broadPeak\
wgEncodeRikenCageK562PolysomePamTssHmmV2 K562 poly pA- bed 6 K562 polysome polyA- CAGE TSS HMM from ENCODE/RIKEN 3 87 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polysome polyA- CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel K562 poly pA-\
subGroups view=TssHmm cellType=t1K562 localization=polysome rnaExtract=pAM rep=rep0 rank=rankP\
track wgEncodeRikenCageK562PolysomePamTssHmmV2\
type bed 6\
pgNA19025 LWK NA19025 pgSnp LWK NA19025 (Complete Genomics) 0 87 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19025 (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19025\
subGroups view=C_CG id=CF_div_GS19025 type=SNP\
track pgNA19025\
wgEncodeOpenChromChipMcf7CtcfSerumstvdBaseOverlapSignal MCF-7 CTCF stv OS bigWig 0.000000 4938.000000 MCF-7 serum starved CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 87 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 CTCF stv OS\
subGroups view=SIGBO factor=CTCF cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7CtcfSerumstvdBaseOverlapSignal\
type bigWig 0.000000 4938.000000\
wgEncodeOpenChromFaireNhaBaseOverlapSignal NH-A FAIRE OS bigWig 0.000000 1226.000000 NH-A FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 87 0 0 0 127 127 127 1 0 0 regulation 0 longLabel NH-A FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel NH-A FAIRE OS\
subGroups view=SIGBO cellType=t3NHA treatment=AANONE\
track wgEncodeOpenChromFaireNhaBaseOverlapSignal\
type bigWig 0.000000 1226.000000\
wgEncodeHaibGenotypeT47dRegionsRep2 T-47D 1 bed 9 + T-47D Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB 0 87 0 0 0 127 127 127 0 0 0 varRep 1 longLabel T-47D Copy number variants Replicate 1 (Lab Rep 2) from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel T-47D 1\
subGroups cellType=t3T47D obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeT47dRegionsRep2\
type bed 9 +\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapPlusRep4 A549 cyto CIP + 2 bigWig 1.000000 10026360.000000 A549 CIP-TAP cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 88 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 CIP-TAP cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto CIP + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=CIPTAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalCiptapPlusRep4\
type bigWig 1.000000 10026360.000000\
wgEncodeUwDnaseAg04450HotspotsRep2 AG04450 Ht 2 broadPeak AG04450 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 88 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG04450 Ht 2\
subGroups view=Hot cellType=t3AG04450 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04450HotspotsRep2\
type broadPeak\
wgEncodeUwTfbsAoafCtcfStdHotspotsRep1 AoAF CTCF Ht 1 broadPeak AoAF CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 88 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AoAF CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3AOAF rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdHotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_ctss_rev AorticSmsToIL1b_04hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_reverse 0 88 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep1%20%28LK52%29.CNhs13682.12659-134I4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12659-134I4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_tpm_rev AorticSmsToIL1b_04hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_reverse 1 88 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep1%20%28LK52%29.CNhs13682.12659-134I4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep1 (LK52)_CNhs13682_12659-134I4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12659-134I4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep1LK52_CNhs13682_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12659-134I4\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esValleysRep1 BG02ES Vly 1 bed 9 BG02ES Repli-seq Valleys Rep 1 from ENCODE/UW 0 88 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BG02ES Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel BG02ES Vly 1\
subGroups view=v3Valleys cellType=t3BG02ES phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBg02esValleysRep1\
type bed 9\
wgEncodeOpenChromDnaseCllPk CLL Pk narrowPeak CLL DNaseI HS Peaks from ENCODE/Duke 3 88 0 0 0 127 127 127 1 0 0 regulation 1 longLabel CLL DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel CLL Pk\
subGroups view=Peaks cellType=t3CLL treatment=zNONE\
track wgEncodeOpenChromDnaseCllPk\
type narrowPeak\
encTfChipPkENCFF853SOB GM12878 BHLHE40 1 narrowPeak Transcription Factor ChIP-seq Peaks of BHLHE40 in GM12878 from ENCODE 3 (ENCFF853SOB) 1 88 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BHLHE40 in GM12878 from ENCODE 3 (ENCFF853SOB)\
parent encTfChipPk off\
shortLabel GM12878 BHLHE40 1\
subGroups cellType=GM12878 factor=BHLHE40\
track encTfChipPkENCFF853SOB\
wgEncodeAwgTfbsSydhGm12878Znf143166181apUniPk GM12878 ZNF143 narrowPeak GM12878 TFBS Uniform Peaks of Znf143_(16618-1-AP) from ENCODE/Stanford/Analysis 1 88 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of Znf143_(16618-1-AP) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ZNF143\
subGroups tier=a10 cellType=a10GM12878 factor=ZNF143 lab=Stanford\
track wgEncodeAwgTfbsSydhGm12878Znf143166181apUniPk\
wgEncodeHaibTfbsGm12878NrsfPcr2xRawRep1 GM78 NRSF PCR2 1 bigWig 0.170084 245.302994 GM12878 NRSF PCR2x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 88 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NRSF PCR2x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NRSF PCR2 1\
subGroups view=RawSignal factor=NRSF cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878NrsfPcr2xRawRep1\
type bigWig 0.170084 245.302994\
wgEncodeSydhTfbsGm12878TbpIggmusSig GM78 TBP IgM bigWig 0.000000 25521.199219 GM12878 TBP IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 88 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 TBP IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 TBP IgM\
subGroups view=Signal factor=TBP cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878TbpIggmusSig\
type bigWig 0.000000 25521.199219\
wgEncodeCshlLongRnaSeqH1hescNucleusPapAlnRep2 H1hSC nuc pA+ A 2 bam H1-hESC nucleus polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 88 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA+ RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel H1hSC nuc pA+ A 2\
subGroups view=Alignments cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusPapAlnRep2\
type bam\
wgEncodeDukeAffyExonH9esSimpleSignalRep3 H9ES 3 bigBed 6 + H9ES Exon array Signal Rep 3 from ENCODE/Duke 0 88 0 0 0 127 127 127 1 0 0 expression 1 longLabel H9ES Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel H9ES 3\
subGroups cellType=t3H9ES treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonH9esSimpleSignalRep3\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k36me3StdHotspotsRep1 HepG H3K36M3 Ht 1 broadPeak HepG2 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 88 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K36M3 Ht 1\
subGroups view=Hot factor=H3K36ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdHotspotsRep1\
type broadPeak\
wgEncodeUwDgfHffRaw HFF Raw bigWig 1.000000 274268.000000 HFF DNaseI DGF Raw Signal from ENCODE/UW 0 88 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HFF DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HFF Raw\
subGroups view=zRaw cellType=t3HFF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHffRaw\
type bigWig 1.000000 274268.000000\
wgEncodeUwAffyExonArrayHmecSimpleSignalRep2 HMEC 2 broadPeak HMEC Exon array Signal Rep 2 from ENCODE/UW 0 88 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMEC Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMEC 2\
subGroups cellType=t3HMEC rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmecSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHpaeUwSitesRep2 HPAEpiC 2 bed 9 + HPAEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 88 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HPAEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HPAEpiC 2\
subGroups cellType=t3HPAEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHpaeUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR2x75Il200SplicesRep2V2 HUVEC 2x75 Sp 2 bam HUVEC 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 88 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC 200 bp paired read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HUVEC 2x75 Sp 2\
subGroups view=Splices cellType=t2HUVEC insertLength=il200 readType=a1R2x75 rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR2x75Il200SplicesRep2V2\
type bam\
wgEncodeGisRnaPetImr90CellPapMinusRawRep2 IMR9 cell pA+ - 2 bigWig 1.000000 1356150.000000 IMR90 whole cell polyA+ clone-free RNA PET Minus signal Rep 2 from ENCODE/GIS 2 88 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 whole cell polyA+ clone-free RNA PET Minus signal Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel IMR9 cell pA+ - 2\
subGroups view=v2MinusRawSignal cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CellPapMinusRawRep2\
type bigWig 1.000000 1356150.000000\
wgEncodeAwgDnaseUwJurkatUniPk Jurkat DNase narrowPeak Jurkat DNaseI HS Uniform Peaks from ENCODE/Analysis 1 88 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Jurkat DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Jurkat DNase\
subGroups tier=a30 cellType=Jurkat\
track wgEncodeAwgDnaseUwJurkatUniPk\
wgEncodeBroadHistoneK562Cbx8Sig K562 CBX8 bigWig 0.040000 352.679993 K562 CBX8 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 88 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CBX8 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CBX8\
subGroups view=Signal factor=CBX8 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Cbx8Sig\
type bigWig 0.040000 352.679993\
wgEncodeRikenCageK562PolysomePamPlusSignal K562 psom pA- + 1 bigWig 0.040000 4464.319824 K562 polysome polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 88 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polysome polyA- CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 psom pA- + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=polysome rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562PolysomePamPlusSignal\
type bigWig 0.040000 4464.319824\
pgNA19025indel LWK NA19025 indel pgSnp LWK NA19025 indel (Complete Genomics) 0 88 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19025 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19025 indel\
subGroups view=C_CG id=CF_div_GS19025 type=Indel\
track pgNA19025indel\
wgEncodeOpenChromChipMcf7CtcfSerumstimPkRep1 MCF-7 CTCF stm Pk narrowPeak MCF-7 serum stim CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 88 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 serum stim CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 CTCF stm Pk\
subGroups view=Peaks factor=CTCF cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CtcfSerumstimPkRep1\
type narrowPeak\
wgEncodeOpenChromFaireNhbePk NHBE FAIRE Pk narrowPeak NHBE FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 88 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NHBE FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel NHBE FAIRE Pk\
subGroups view=Peaks cellType=t3NHBE treatment=AANONE\
track wgEncodeOpenChromFaireNhbePk\
type narrowPeak\
wgEncodeHaibGenotypeU87RegionsRep1 U87 1 bed 9 + U87 Copy number variants Replicate 1 from ENCODE/HAIB 0 88 0 0 0 127 127 127 0 0 0 varRep 1 longLabel U87 Copy number variants Replicate 1 from ENCODE/HAIB\
parent wgEncodeHaibGenotype off\
shortLabel U87 1\
subGroups cellType=t3U87 obtainedBy=HudsonAlpha treatment=None rep=rep1\
track wgEncodeHaibGenotypeU87RegionsRep1\
type bed 9 +\
wgEncodeCshlShortRnaSeqA549CytosolContigs A549 cyto C bed 6 A549 cytosol small RNA-seq Contigs from ENCODE/CSHL 2 89 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cyto C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=CYTOSOL protocol=NONE rank=none\
track wgEncodeCshlShortRnaSeqA549CytosolContigs\
type bed 6\
wgEncodeUwDnaseAg04450PkRep2 AG04450 Pk 2 narrowPeak AG04450 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 89 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG04450 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG04450 Pk 2\
subGroups view=Peaks cellType=t3AG04450 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04450PkRep2\
type narrowPeak\
wgEncodeUwTfbsAoafCtcfStdPkRep1 AoAF CTCF Pk 1 narrowPeak AoAF CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 89 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AoAF CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3AOAF rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdPkRep1\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_ctss_fwd AorticSmsToIL1b_04hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_forward 0 89 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep2%20%28LK53%29.CNhs13376.12757-136B3.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12757-136B3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_tpm_fwd AorticSmsToIL1b_04hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_forward 1 89 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep2%20%28LK53%29.CNhs13376.12757-136B3.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12757-136B3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esWaveSignalRep1 BG02ES Ws 1 bigWig -3.279608 86.164284 BG02ES Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 89 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal off\
shortLabel BG02ES Ws 1\
subGroups view=v4WaveSignal cellType=t3BG02ES phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBg02esWaveSignalRep1\
type bigWig -3.279608 86.164284\
wgEncodeOpenChromDnaseCllSig CLL DS bigWig 0.000000 0.697500 CLL DNaseI HS Density Signal from ENCODE/Duke 2 89 0 0 0 127 127 127 1 0 0 regulation 0 longLabel CLL DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel CLL DS\
subGroups view=SIG cellType=t3CLL treatment=zNONE\
track wgEncodeOpenChromDnaseCllSig\
type bigWig 0.000000 0.697500\
encTfChipPkENCFF095GMM GM12878 BHLHE40 2 narrowPeak Transcription Factor ChIP-seq Peaks of BHLHE40 in GM12878 from ENCODE 3 (ENCFF095GMM) 1 89 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BHLHE40 in GM12878 from ENCODE 3 (ENCFF095GMM)\
parent encTfChipPk off\
shortLabel GM12878 BHLHE40 2\
subGroups cellType=GM12878 factor=BHLHE40\
track encTfChipPkENCFF095GMM\
wgEncodeAwgTfbsSydhGm12878Znf274UniPk GM12878 ZNF274 narrowPeak GM12878 TFBS Uniform Peaks of ZNF274 from ENCODE/USC/Analysis 1 89 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ZNF274 from ENCODE/USC/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ZNF274\
subGroups tier=a10 cellType=a10GM12878 factor=ZNF274 lab=USC\
track wgEncodeAwgTfbsSydhGm12878Znf274UniPk\
wgEncodeHaibTfbsGm12878NrsfPcr2xPkRep2 GM78 NRSF PCR2 2 broadPeak GM12878 NRSF PCR2x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 89 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 NRSF PCR2x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 NRSF PCR2 2\
subGroups view=Peaks factor=NRSF cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878NrsfPcr2xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Tr4StdPk GM78 TR4 Std narrowPeak GM12878 TR4 Standard ChIP-seq Peaks from ENCODE/SYDH 3 89 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TR4 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 TR4 Std\
subGroups view=Peaks factor=TR4 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Tr4StdPk\
type narrowPeak\
wgEncodeCshlLongRnaSeqH1hescNucleusPapContigsV2 H1hSC nuc pA+ C bed 6 + H1-hESC nucleus polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL 3 89 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA+ RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel H1hSC nuc pA+ C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAP\
track wgEncodeCshlLongRnaSeqH1hescNucleusPapContigsV2\
type bed 6 +\
wgEncodeDukeAffyExonHek293tSimpleSignalRep1 HEK293T 1 bigBed 6 + HEK293T Exon array Signal Rep 1 from ENCODE/Duke 0 89 0 0 0 127 127 127 1 0 0 expression 1 longLabel HEK293T Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HEK293T 1\
subGroups cellType=t3HEK293T treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHek293tSimpleSignalRep1\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k36me3StdPkRep1 HepG H3K36M3 Pk 1 narrowPeak HepG2 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 89 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K36M3 Pk 1\
subGroups view=Peaks factor=H3K36ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdPkRep1\
type narrowPeak\
wgEncodeUwDgfHgfHotspots HGF Hot broadPeak HGF DNaseI DGF Hotspots from ENCODE/UW 0 89 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HGF DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HGF Hot\
subGroups view=Hotspots cellType=t3HGF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHgfHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHmfSimpleSignalRep1 HMF 1 broadPeak HMF Exon array Signal Rep 1 from ENCODE/UW 0 89 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMF Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMF 1\
subGroups cellType=t3HMF rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmfSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHrceUwSitesRep1 HRCEpiC 1 bed 9 + HRCEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 89 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRCEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRCEpiC 1\
subGroups cellType=t3HRCEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHrceUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dAlignsRep1V2 HUVEC 1x75D A 1 bam HUVEC single read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 89 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC single read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HUVEC 1x75D A 1\
subGroups view=Aligns cellType=t2HUVEC insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dAlignsRep1V2\
type bam\
wgEncodeGisRnaPetImr90CellPapPlusRawRep1 IMR9 cell pA+ + 1 bigWig 1.000000 917538.000000 IMR90 whole cell polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS 2 89 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 whole cell polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel IMR9 cell pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CellPapPlusRawRep1\
type bigWig 1.000000 917538.000000\
wgEncodeBroadHistoneK562Chd1a301218aStdPk K562 CHD1 broadPeak K562 CHD1 (A301-218A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 89 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CHD1 (A301-218A) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CHD1\
subGroups view=Peaks factor=CHD1A301218A cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd1a301218aStdPk\
type broadPeak\
wgEncodeRikenCageK562PolysomePamMinusSignal K562 psom pA- - 1 bigWig 0.040000 4464.319824 K562 polysome polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 89 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 polysome polyA- CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 psom pA- - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=polysome rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562PolysomePamMinusSignal\
type bigWig 0.040000 4464.319824\
wgEncodeAwgDnaseUwdukeLncapUniPk LNCaP DNase narrowPeak LNCaP DNaseI HS Uniform Peaks from ENCODE/Analysis 1 89 0 0 0 127 127 127 1 0 0 regulation 1 longLabel LNCaP DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel LNCaP DNase\
subGroups tier=a30 cellType=LNCaP\
track wgEncodeAwgDnaseUwdukeLncapUniPk\
pgNA19026 LWK NA19026 pgSnp LWK NA19026 (Complete Genomics) 0 89 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19026 (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19026\
subGroups view=C_CG id=CF_div_GS19026 type=SNP\
track pgNA19026\
wgEncodeOpenChromChipMcf7CtcfSerumstimSig MCF-7 CTCF stm DS bigWig 0.000000 10.246700 MCF-7 serum stim CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 89 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum stim CTCF TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 CTCF stm DS\
subGroups view=SIG factor=CTCF cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CtcfSerumstimSig\
type bigWig 0.000000 10.246700\
wgEncodeOpenChromFaireNhbeSig NHBE FAIRE DS bigWig 0.000000 0.366700 NHBE FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 89 0 0 0 127 127 127 1 0 0 regulation 0 longLabel NHBE FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel NHBE FAIRE DS\
subGroups view=SIG cellType=t3NHBE treatment=AANONE\
track wgEncodeOpenChromFaireNhbeSig\
type bigWig 0.000000 0.366700\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalMinusRep3 A549 cyto - 1 bigWig 1.000000 13784293.000000 A549 cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 90 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=NONE rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalMinusRep3\
type bigWig 1.000000 13784293.000000\
wgEncodeUwDnaseAg04450RawRep2 AG04450 Sg 2 bigWig 1.000000 43642.000000 AG04450 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 90 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG04450 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG04450 Sg 2\
subGroups view=zRSig cellType=t3AG04450 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg04450RawRep2\
type bigWig 1.000000 43642.000000\
wgEncodeUwTfbsAoafCtcfStdRawRep1 AoAF CTCF Sg 1 bigWig 1.000000 4397.000000 AoAF CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 90 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AoAF CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AoAF CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3AOAF rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdRawRep1\
type bigWig 1.000000 4397.000000\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_ctss_rev AorticSmsToIL1b_04hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_reverse 0 90 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep2%20%28LK53%29.CNhs13376.12757-136B3.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12757-136B3 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_tpm_rev AorticSmsToIL1b_04hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_reverse 1 90 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep2%20%28LK53%29.CNhs13376.12757-136B3.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep2 (LK53)_CNhs13376_12757-136B3_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12757-136B3 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep2LK53_CNhs13376_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12757-136B3\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBg02esSumSignalRep1 BG02ES Sd 1 bigWig 2.000000 2088.000000 BG02ES Repli-seq Summed Densities Rep 1 from ENCODE/UW 0 90 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BG02ES Repli-seq Summed Densities Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewSumSignal off\
shortLabel BG02ES Sd 1\
subGroups view=v5SumSignal cellType=t3BG02ES phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBg02esSumSignalRep1\
type bigWig 2.000000 2088.000000\
wgEncodeOpenChromDnaseCllBaseOverlapSignal CLL OS bigWig 0.000000 302.000000 CLL DNaseI HS Overlap Signal from ENCODE/Duke 2 90 0 0 0 127 127 127 1 0 0 regulation 0 longLabel CLL DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel CLL OS\
subGroups view=SIGBO cellType=t3CLL treatment=zNONE\
track wgEncodeOpenChromDnaseCllBaseOverlapSignal\
type bigWig 0.000000 302.000000\
encTfChipPkENCFF809PXE GM12878 BMI1 narrowPeak Transcription Factor ChIP-seq Peaks of BMI1 in GM12878 from ENCODE 3 (ENCFF809PXE) 1 90 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BMI1 in GM12878 from ENCODE 3 (ENCFF809PXE)\
parent encTfChipPk off\
shortLabel GM12878 BMI1\
subGroups cellType=GM12878 factor=BMI1\
track encTfChipPkENCFF809PXE\
wgEncodeAwgTfbsSydhGm12878Zzz3UniPk GM12878 ZZZ3 narrowPeak GM12878 TFBS Uniform Peaks of ZZZ3 from ENCODE/Harvard/Analysis 1 90 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 TFBS Uniform Peaks of ZZZ3 from ENCODE/Harvard/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel GM12878 ZZZ3\
subGroups tier=a10 cellType=a10GM12878 factor=ZZZ3 lab=Harvard\
track wgEncodeAwgTfbsSydhGm12878Zzz3UniPk\
wgEncodeHaibTfbsGm12878NrsfPcr2xRawRep2 GM78 NRSF PCR2 2 bigWig 0.206820 181.897995 GM12878 NRSF PCR2x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 90 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 NRSF PCR2x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 NRSF PCR2 2\
subGroups view=RawSignal factor=NRSF cellType=t1GM12878 protocol=PCR2X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878NrsfPcr2xRawRep2\
type bigWig 0.206820 181.897995\
wgEncodeSydhTfbsGm12878Tr4StdSig GM78 TR4 Std bigWig 0.000000 8489.599609 GM12878 TR4 Standard ChIP-seq Signal from ENCODE/SYDH 2 90 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 TR4 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 TR4 Std\
subGroups view=Signal factor=TR4 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Tr4StdSig\
type bigWig 0.000000 8489.599609\
wgEncodeCshlLongRnaSeqH1hescNucleusPapJunctions H1hSC nuc pA+ J bed 6 + H1-hESC nucleus polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL 0 90 0 107 27 127 181 141 0 0 0 expression 1 color 0,107,27\
longLabel H1-hESC nucleus polyA+ RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel H1hSC nuc pA+ J\
subGroups view=Junctions cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAP rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqH1hescNucleusPapJunctions\
type bed 6 +\
wgEncodeDukeAffyExonHek293tSimpleSignalRep2 HEK293T 2 bigBed 6 + HEK293T Exon array Signal Rep 2 from ENCODE/Duke 0 90 0 0 0 127 127 127 1 0 0 expression 1 longLabel HEK293T Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HEK293T 2\
subGroups cellType=t3HEK293T treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHek293tSimpleSignalRep2\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k36me3StdRawRep1 HepG H3K36M3 Sg 1 bigWig 1.000000 3834.000000 HepG2 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 90 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K36M3 Sg 1\
subGroups view=zRSig factor=H3K36ME3 cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdRawRep1\
type bigWig 1.000000 3834.000000\
wgEncodeUwDgfHgfPk HGF Pk narrowPeak HGF DNaseI DGF Peaks from ENCODE/UW 0 90 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HGF DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HGF Pk\
subGroups view=Peaks cellType=t3HGF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHgfPk\
type narrowPeak\
wgEncodeUwAffyExonArrayHmfSimpleSignalRep2 HMF 2 broadPeak HMF Exon array Signal Rep 2 from ENCODE/UW 0 90 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMF Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMF 2\
subGroups cellType=t3HMF rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmfSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHrceUwSitesRep2 HRCEpiC 2 bed 9 + HRCEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 90 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRCEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRCEpiC 2\
subGroups cellType=t3HRCEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHrceUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dAlignsRep2V2 HUVEC 1x75D A 2 bam HUVEC single read RNA-seq Alignments Rep 2 from ENCODE/Caltech 0 90 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC single read RNA-seq Alignments Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel HUVEC 1x75D A 2\
subGroups view=Aligns cellType=t2HUVEC insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dAlignsRep2V2\
type bam\
wgEncodeGisRnaPetImr90CellPapPlusRawRep2 IMR9 cell pA+ + 2 bigWig 1.000000 1807720.000000 IMR90 whole cell polyA+ clone-free RNA PET Plus signal Rep 2 from ENCODE/GIS 2 90 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 whole cell polyA+ clone-free RNA PET Plus signal Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel IMR9 cell pA+ + 2\
subGroups view=v2PlusRawSignal cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CellPapPlusRawRep2\
type bigWig 1.000000 1807720.000000\
wgEncodeBroadHistoneK562Chd1a301218aStdSig K562 CHD1 bigWig 0.040000 36551.800781 K562 CHD1 (A301-218A) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 90 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CHD1 (A301-218A) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CHD1\
subGroups view=Signal factor=CHD1A301218A cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd1a301218aStdSig\
type bigWig 0.040000 36551.800781\
wgEncodeRikenCageK562PolysomePamAln K562 psom pA- A 1 bam K562 polysome polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN 0 90 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 polysome polyA- CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 psom pA- A 1\
subGroups view=Alignments cellType=t1K562 localization=polysome rnaExtract=pAM rep=rep0 rank=rank1\
track wgEncodeRikenCageK562PolysomePamAln\
type bam\
wgEncodeAwgDnaseDukeLncapandrogenUniPk LNCaP(Andr) DNase narrowPeak LNCaP (Androgen) DNaseI HS Uniform Peaks from ENCODE/Analysis 1 90 0 0 0 127 127 127 1 0 0 regulation 1 longLabel LNCaP (Androgen) DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel LNCaP(Andr) DNase\
subGroups tier=a30 cellType=LNCaP-Andr\
track wgEncodeAwgDnaseDukeLncapandrogenUniPk\
pgNA19026indel LWK NA19026 indel pgSnp LWK NA19026 indel (Complete Genomics) 0 90 0 0 0 127 127 127 0 0 0 varRep 1 longLabel LWK NA19026 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel LWK NA19026 indel\
subGroups view=C_CG id=CF_div_GS19026 type=Indel\
track pgNA19026indel\
wgEncodeOpenChromChipMcf7CtcfSerumstimBaseOverlapSignal MCF-7 CTCF stm OS bigWig 0.000000 5538.000000 MCF-7 serum stim CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 90 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum stim CTCF TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 CTCF stm OS\
subGroups view=SIGBO factor=CTCF cellType=t2MCF7 treatment=SERUMSTIM\
track wgEncodeOpenChromChipMcf7CtcfSerumstimBaseOverlapSignal\
type bigWig 0.000000 5538.000000\
wgEncodeOpenChromFaireNhbeBaseOverlapSignal NHBE FAIRE OS bigWig 0.000000 1478.000000 NHBE FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 90 0 0 0 127 127 127 1 0 0 regulation 0 longLabel NHBE FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel NHBE FAIRE OS\
subGroups view=SIGBO cellType=t3NHBE treatment=AANONE\
track wgEncodeOpenChromFaireNhbeBaseOverlapSignal\
type bigWig 0.000000 1478.000000\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalMinusRep4 A549 cyto - 2 bigWig 1.000000 17388524.000000 A549 cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 91 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=NONE rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalMinusRep4\
type bigWig 1.000000 17388524.000000\
wgEncodeUwDnaseAg09309HotspotsRep1 AG09309 Ht 1 broadPeak AG09309 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 91 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG09309 Ht 1\
subGroups view=Hot cellType=t3AG09309 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09309HotspotsRep1\
type broadPeak\
wgEncodeUwTfbsAoafCtcfStdHotspotsRep2 AoAF CTCF Ht 2 broadPeak AoAF CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 91 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewHot off\
shortLabel AoAF CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3AOAF rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdHotspotsRep2\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_ctss_fwd AorticSmsToIL1b_04hrBr3+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_forward 0 91 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep3%20%28LK54%29.CNhs13584.12855-137D2.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12855-137D2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_tpm_fwd AorticSmsToIL1b_04hrBr3+ bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_forward 1 91 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep3%20%28LK54%29.CNhs13584.12855-137D2.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12855-137D2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr3+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBjG1bPctSignalRep1 BJ G1b 1 bigWig 1.000000 100.000000 BJ G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 91 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ G1b-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ G1b 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p1G1B rep=rep1\
track wgEncodeUwRepliSeqBjG1bPctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseColo829Pk Colo829 Pk narrowPeak Colo829 DNaseI HS Peaks from ENCODE/Duke 3 91 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Colo829 DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel Colo829 Pk\
subGroups view=Peaks cellType=t3COLO829 treatment=zNONE\
track wgEncodeOpenChromDnaseColo829Pk\
type narrowPeak\
encTfChipPkENCFF082JDH GM12878 BRCA1 narrowPeak Transcription Factor ChIP-seq Peaks of BRCA1 in GM12878 from ENCODE 3 (ENCFF082JDH) 1 91 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of BRCA1 in GM12878 from ENCODE 3 (ENCFF082JDH)\
parent encTfChipPk off\
shortLabel GM12878 BRCA1\
subGroups cellType=GM12878 factor=BRCA1\
track encTfChipPkENCFF082JDH\
wgEncodeHaibTfbsGm12878P300Pcr1xPkRep1 GM78 p300 PCR1 1 broadPeak GM12878 p300 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 91 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 p300 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 p300 PCR1 1\
subGroups view=Peaks factor=P300 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878P300Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Usf2IggmusPk GM78 USF2 IgM narrowPeak GM12878 USF2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 91 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 USF2 IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 USF2 IgM\
subGroups view=Peaks factor=USF2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Usf2IggmusPk\
type narrowPeak\
wgEncodeAwgTfbsHaibH1hescAtf2sc81188V0422111UniPk H1-hESC ATF2 narrowPeak H1-hESC TFBS Uniform Peaks of ATF2_(SC-81188) from ENCODE/HudsonAlpha/Analysis 1 91 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of ATF2_(SC-81188) from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC ATF2\
subGroups tier=a10 cellType=a10H1HESC factor=ATF2 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibH1hescAtf2sc81188V0422111UniPk\
wgEncodeCshlLongRnaSeqH1hescNucleusPapMinusRawSigRep2 H1hSC nuc pA+ - 2 bigWig 1.000000 178195.000000 H1-hESC nucleus polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 91 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA+ RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel H1hSC nuc pA+ - 2\
subGroups view=MinusSignal cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusPapMinusRawSigRep2\
type bigWig 1.000000 178195.000000\
wgEncodeDukeAffyExonHepatoSimpleSignalRep1V2 Hepatocytes 1 bigBed 6 + Hepatocytes Exon array Signal Rep 1 from ENCODE/Duke 0 91 0 0 0 127 127 127 1 0 0 expression 1 longLabel Hepatocytes Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Hepatocytes 1\
subGroups cellType=t3HEPATOCYTES treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHepatoSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k36me3StdHotspotsRep2 HepG H3K36M3 Ht 2 broadPeak HepG2 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 91 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewHot off\
shortLabel HepG H3K36M3 Ht 2\
subGroups view=Hot factor=H3K36ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdHotspotsRep2\
type broadPeak\
wgEncodeUwDgfHgfSig HGF Sig bigWig 1.000000 63610.000000 HGF DNaseI DGF Per-base Signal from ENCODE/UW 2 91 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HGF DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HGF Sig\
subGroups view=Signal cellType=t3HGF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHgfSig\
type bigWig 1.000000 63610.000000\
wgEncodeUwAffyExonArrayHmvecdadSimpleSignalRep1 HMVEC-dAd 1 broadPeak HMVEC-dAd Exon-array Signal Rep 1 from ENCODE/UW 0 91 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dAd Exon-array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dAd 1\
subGroups cellType=t3HMVECDAD rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdadSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHreUwSitesRep1 HRE 1 bed 9 + HRE Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 91 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRE Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRE 1\
subGroups cellType=t3HRE obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHreUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UMinusRawRep1V4 HUVEC 1x75D - 1 bigWig -132924.000000 -0.025000 HUVEC single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech 2 91 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC single read RNA-seq Minus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HUVEC 1x75D - 1\
subGroups view=MinusSignal cellType=t2HUVEC readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UMinusRawRep1V4\
type bigWig -132924.000000 -0.025000\
wgEncodeGisRnaPetImr90CellPapAlnRep1 IMR9 cell pA+ A 1 bam IMR90 whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 91 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 whole cell polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel IMR9 cell pA+ A 1\
subGroups view=v3Alignments cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CellPapAlnRep1\
type bam\
wgEncodeRikenCageK562CellPapTssHmm K562 cell pA+ bed 6 K562 whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 91 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm on\
shortLabel K562 cell pA+\
subGroups view=TssHmm cellType=t1K562 localization=wcell rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageK562CellPapTssHmm\
type bed 6\
wgEncodeBroadHistoneK562Chd4mi2Pk K562 CHD4 Mi2 broadPeak K562 CHD4 Mi2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 91 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CHD4 Mi2 Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CHD4 Mi2\
subGroups view=Peaks factor=CHD4MI2 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd4mi2Pk\
type broadPeak\
wgEncodeOpenChromChipMcf7CtcfVehPkRep1 MCF-7 veh CTCF Pk narrowPeak MCF-7 vehicle CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 91 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 vehicle CTCF TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 veh CTCF Pk\
subGroups treatment=VEH view=Peaks factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfVehPkRep1\
type narrowPeak\
wgEncodeAwgDnaseDukeMcf7hypoxiaUniPk MCF7(Hypox) DNase narrowPeak MCF-7 (Hypoxia) DNaseI HS Uniform Peaks from ENCODE/Analysis 1 91 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 (Hypoxia) DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel MCF7(Hypox) DNase\
subGroups tier=a30 cellType=MCF-7-Hypox\
track wgEncodeAwgDnaseDukeMcf7hypoxiaUniPk\
pgNA19648 MXL NA19648 pgSnp MXL NA19648 (Complete Genomics) 0 91 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19648 (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19648\
subGroups view=C_CG id=CG_div_GS19648 type=SNP\
track pgNA19648\
wgEncodeOpenChromFaireNhekPk NHEK FAIRE Pk narrowPeak NHEK FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 91 179 0 134 217 127 194 1 0 0 regulation 1 color 179,0,134\
longLabel NHEK FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel NHEK FAIRE Pk\
subGroups view=Peaks cellType=t3NHEK treatment=AANONE\
track wgEncodeOpenChromFaireNhekPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalPlusRep3 A549 cyto + 1 bigWig 1.000000 8900805.000000 A549 cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 92 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=NONE rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalPlusRep3\
type bigWig 1.000000 8900805.000000\
wgEncodeUwDnaseAg09309PkRep1 AG09309 Pk 1 narrowPeak AG09309 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 92 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG09309 Pk 1\
subGroups view=Peaks cellType=t3AG09309 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09309PkRep1\
type narrowPeak\
wgEncodeUwTfbsAoafCtcfStdPkRep2 AoAF CTCF Pk 2 narrowPeak AoAF CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 92 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AoAF CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel AoAF CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3AOAF rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdPkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_ctss_rev AorticSmsToIL1b_04hrBr3- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_reverse 0 92 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep3%20%28LK54%29.CNhs13584.12855-137D2.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12855-137D2 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_04hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_tpm_rev AorticSmsToIL1b_04hrBr3- bigWig Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_reverse 1 92 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2004hr%2c%20biol_rep3%20%28LK54%29.CNhs13584.12855-137D2.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 04hr, biol_rep3 (LK54)_CNhs13584_12855-137D2_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12855-137D2 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_04hrBr3-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b04hrBiolRep3LK54_CNhs13584_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12855-137D2\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBjS1PctSignalRep1 BJ S1 1 bigWig 1.000000 100.000000 BJ S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 92 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ S1-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ S1 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p2S1 rep=rep1\
track wgEncodeUwRepliSeqBjS1PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseColo829Sig Colo829 DS bigWig 0.000000 0.945300 Colo829 DNaseI HS Density Signal from ENCODE/Duke 2 92 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Colo829 DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel Colo829 DS\
subGroups view=SIG cellType=t3COLO829 treatment=zNONE\
track wgEncodeOpenChromDnaseColo829Sig\
type bigWig 0.000000 0.945300\
encTfChipPkENCFF788LSH GM12878 CBFB narrowPeak Transcription Factor ChIP-seq Peaks of CBFB in GM12878 from ENCODE 3 (ENCFF788LSH) 1 92 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CBFB in GM12878 from ENCODE 3 (ENCFF788LSH)\
parent encTfChipPk off\
shortLabel GM12878 CBFB\
subGroups cellType=GM12878 factor=CBFB\
track encTfChipPkENCFF788LSH\
wgEncodeHaibTfbsGm12878P300Pcr1xRawRep1 GM78 p300 PCR1 1 bigWig 0.110460 174.112000 GM12878 p300 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 92 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 p300 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 p300 PCR1 1\
subGroups view=RawSignal factor=P300 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878P300Pcr1xRawRep1\
type bigWig 0.110460 174.112000\
wgEncodeSydhTfbsGm12878Usf2IggmusSig GM78 USF2 IgM bigWig 1.000000 8996.000000 GM12878 USF2 IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 92 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 USF2 IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 USF2 IgM\
subGroups view=Signal factor=USF2 cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878Usf2IggmusSig\
type bigWig 1.000000 8996.000000\
wgEncodeAwgTfbsHaibH1hescAtf3V0416102UniPk H1-hESC ATF3 narrowPeak H1-hESC TFBS Uniform Peaks of ATF3 from ENCODE/HudsonAlpha/Analysis 1 92 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of ATF3 from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC ATF3\
subGroups tier=a10 cellType=a10H1HESC factor=ATF3 lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibH1hescAtf3V0416102UniPk\
wgEncodeCshlLongRnaSeqH1hescNucleusPapPlusRawSigRep2 H1hSC nuc pA+ + 2 bigWig 1.000000 498253.000000 H1-hESC nucleus polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 92 0 107 27 127 181 141 0 0 0 expression 0 color 0,107,27\
longLabel H1-hESC nucleus polyA+ RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel H1hSC nuc pA+ + 2\
subGroups view=PlusSignal cellType=t1H1HESC localization=NUCLEUS rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqH1hescNucleusPapPlusRawSigRep2\
type bigWig 1.000000 498253.000000\
wgEncodeDukeAffyExonHepatoSimpleSignalRep2V2 Hepatocytes 2 bigBed 6 + Hepatocytes Exon array Signal Rep 2 from ENCODE/Duke 0 92 0 0 0 127 127 127 1 0 0 expression 1 longLabel Hepatocytes Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel Hepatocytes 2\
subGroups cellType=t3HEPATOCYTES treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHepatoSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUwHistoneHepg2H3k36me3StdPkRep2 HepG H3K36M3 Pk 2 narrowPeak HepG2 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 92 189 0 157 222 127 206 0 0 0 regulation 1 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HepG H3K36M3 Pk 2\
subGroups view=Peaks factor=H3K36ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdPkRep2\
type narrowPeak\
wgEncodeUwDgfHgfRaw HGF Raw bigWig 1.000000 302143.000000 HGF DNaseI DGF Raw Signal from ENCODE/UW 0 92 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HGF DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HGF Raw\
subGroups view=zRaw cellType=t3HGF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHgfRaw\
type bigWig 1.000000 302143.000000\
wgEncodeUwAffyExonArrayHmvecdadSimpleSignalRep2 HMVEC-dAd 2 broadPeak HMVEC-dAd Exon-array Signal Rep 2 from ENCODE/UW 0 92 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dAd Exon-array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dAd 2\
subGroups cellType=t3HMVECDAD rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdadSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHreUwSitesRep2 HRE 2 bed 9 + HRE Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 92 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRE Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRE 2\
subGroups cellType=t3HRE obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHreUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UMinusRawRep2V4 HUVEC 1x75D - 2 bigWig -37542.500000 -0.025000 HUVEC single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech 2 92 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC single read RNA-seq Minus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewMinusSignal off\
shortLabel HUVEC 1x75D - 2\
subGroups view=MinusSignal cellType=t2HUVEC readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UMinusRawRep2V4\
type bigWig -37542.500000 -0.025000\
wgEncodeGisRnaPetImr90CellPapAlnRep2 IMR9 cell pA+ A 2 bam IMR90 whole cell polyA+ clone-free RNA PET Alignments Rep 2 from ENCODE/GIS 0 92 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 whole cell polyA+ clone-free RNA PET Alignments Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel IMR9 cell pA+ A 2\
subGroups view=v3Alignments cellType=bIMR90 cloned=Free localization=cell rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CellPapAlnRep2\
type bam\
wgEncodeRikenCageK562CellPapPlusSignalRep1 K562 cell pA+ + 1 bigWig 0.050000 12831.000000 K562 whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN 2 92 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Plus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal on\
shortLabel K562 cell pA+ + 1\
subGroups view=PlusRawSignal cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CellPapPlusSignalRep1\
type bigWig 0.050000 12831.000000\
wgEncodeBroadHistoneK562Chd4mi2Sig K562 CHD4 Mi2 bigWig 0.040000 347.640015 K562 CHD4 Mi2 Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 92 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CHD4 Mi2 Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CHD4 Mi2\
subGroups view=Signal factor=CHD4MI2 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd4mi2Sig\
type bigWig 0.040000 347.640015\
wgEncodeOpenChromChipMcf7CtcfVehSig MCF-7 veh CTCF DS bigWig 0.000000 6.029000 MCF-7 vehicle CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 92 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 vehicle CTCF TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 veh CTCF DS\
subGroups treatment=VEH view=SIG factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfVehSig\
type bigWig 0.000000 6.029000\
wgEncodeAwgDnaseDukeMedulloUniPk Medullo DNase narrowPeak Medullo DNaseI HS Uniform Peaks from ENCODE/Analysis 1 92 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Medullo DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Medullo DNase\
subGroups tier=a30 cellType=Medullo\
track wgEncodeAwgDnaseDukeMedulloUniPk\
pgNA19648indel MXL NA19648 indel pgSnp MXL NA19648 indel (Complete Genomics) 0 92 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19648 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19648 indel\
subGroups view=C_CG id=CG_div_GS19648 type=Indel\
track pgNA19648indel\
wgEncodeOpenChromFaireNhekSig NHEK FAIRE DS bigWig 0.000000 0.643100 NHEK FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 92 179 0 134 217 127 194 1 0 0 regulation 0 color 179,0,134\
longLabel NHEK FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel NHEK FAIRE DS\
subGroups view=SIG cellType=t3NHEK treatment=AANONE\
track wgEncodeOpenChromFaireNhekSig\
type bigWig 0.000000 0.643100\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalPlusRep4 A549 cyto + 2 bigWig 1.000000 9212263.000000 A549 cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 93 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=NONE rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalPlusRep4\
type bigWig 1.000000 9212263.000000\
wgEncodeUwDnaseAg09309RawRep1 AG09309 Sg 1 bigWig 1.000000 55288.000000 AG09309 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 93 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09309 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG09309 Sg 1\
subGroups view=zRSig cellType=t3AG09309 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09309RawRep1\
type bigWig 1.000000 55288.000000\
wgEncodeUwTfbsAoafCtcfStdRawRep2 AoAF CTCF Sg 2 bigWig 1.000000 18876.000000 AoAF CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW 2 93 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AoAF CTCF TFBS ChIP-seq Raw Signal 2 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AoAF CTCF Sg 2\
subGroups view=zRSig factor=CTCF cellType=t3AOAF rep=rep2 treatment=aNone\
track wgEncodeUwTfbsAoafCtcfStdRawRep2\
type bigWig 1.000000 18876.000000\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_ctss_fwd AorticSmsToIL1b_05hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_forward 0 93 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep1%20%28LK55%29.CNhs13356.12660-134I5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12660-134I5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_05hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_tpm_fwd AorticSmsToIL1b_05hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_forward 1 93 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep1%20%28LK55%29.CNhs13356.12660-134I5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12660-134I5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_05hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBjS2PctSignalRep1 BJ S2 1 bigWig 1.000000 100.000000 BJ S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 93 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ S2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ S2 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p3S2 rep=rep1\
track wgEncodeUwRepliSeqBjS2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseColo829BaseOverlapSignal Colo829 OS bigWig 0.000000 198.000000 Colo829 DNaseI HS Overlap Signal from ENCODE/Duke 2 93 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Colo829 DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel Colo829 OS\
subGroups view=SIGBO cellType=t3COLO829 treatment=zNONE\
track wgEncodeOpenChromDnaseColo829BaseOverlapSignal\
type bigWig 0.000000 198.000000\
encTfChipPkENCFF141LEI GM12878 CBX3 narrowPeak Transcription Factor ChIP-seq Peaks of CBX3 in GM12878 from ENCODE 3 (ENCFF141LEI) 1 93 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CBX3 in GM12878 from ENCODE 3 (ENCFF141LEI)\
parent encTfChipPk off\
shortLabel GM12878 CBX3\
subGroups cellType=GM12878 factor=CBX3\
track encTfChipPkENCFF141LEI\
wgEncodeHaibTfbsGm12878P300Pcr1xPkRep2 GM78 p300 PCR1 2 broadPeak GM12878 p300 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 93 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 p300 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 p300 PCR1 2\
subGroups view=Peaks factor=P300 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878P300Pcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878WhipIggmusPk GM78 WHIP IgM narrowPeak GM12878 WHIP IgG-mus ChIP-seq Peaks from ENCODE/SYDH 3 93 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 WHIP IgG-mus ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 WHIP IgM\
subGroups view=Peaks factor=WHIP cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878WhipIggmusPk\
type narrowPeak\
wgEncodeAwgTfbsSydhH1hescBach1sc14700IggrabUniPk H1-hESC BACH1 narrowPeak H1-hESC TFBS Uniform Peaks of Bach1_(sc-14700) from ENCODE/Stanford/Analysis 1 93 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of Bach1_(sc-14700) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC BACH1\
subGroups tier=a10 cellType=a10H1HESC factor=BACH1 lab=Stanford\
track wgEncodeAwgTfbsSydhH1hescBach1sc14700IggrabUniPk\
wgEncodeUwHistoneHepg2H3k36me3StdRawRep2 HepG H3K36M3 Sg 2 bigWig 1.000000 4879.000000 HepG2 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 93 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 H3K36me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG H3K36M3 Sg 2\
subGroups view=zRSig factor=H3K36ME3 cellType=t2HEPG2 rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHepg2H3k36me3StdRawRep2\
type bigWig 1.000000 4879.000000\
wgEncodeUwDgfHipeHotspots HIPEpiC Hot broadPeak HIPEpiC DNaseI DGF Hotspots from ENCODE/UW 0 93 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HIPEpiC DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HIPEpiC Hot\
subGroups view=Hotspots cellType=t3HIPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHipeHotspots\
type broadPeak\
wgEncodeDukeAffyExonHmecSimpleSignalRep1V2 HMEC 1 bigBed 6 + HMEC Exon array Signal Rep 1 from ENCODE/Duke 0 93 0 0 0 127 127 127 1 0 0 expression 1 longLabel HMEC Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HMEC 1\
subGroups cellType=t3HMEC treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHmecSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeUwAffyExonArrayHmvecdbladSimpleSignalRep1 HMVEC-dBl-Ad 1 broadPeak HMVEC-dBl-Ad Exon array Signal Rep 1 from ENCODE/UW 0 93 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dBl-Ad Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dBl-Ad 1\
subGroups cellType=t3HMVECDBLAD rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdbladSimpleSignalRep1\
type broadPeak\
wgEncodeHaibMethylRrbsHrpeUwSitesRep1 HRPEpiC 1 bed 9 + HRPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 93 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRPEpiC Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRPEpiC 1\
subGroups cellType=t3HRPEPIC obtainedBy=UW treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHrpeUwSitesRep1\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UPlusRawRep1V4 HUVEC 1x75D + 1 bigWig 0.025000 83835.000000 HUVEC single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech 2 93 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC single read RNA-seq Plus Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HUVEC 1x75D + 1\
subGroups view=PlusSignal cellType=t2HUVEC readType=r1x75D insertLength=ilNa rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UPlusRawRep1V4\
type bigWig 0.025000 83835.000000\
wgEncodeGisRnaPetImr90CytosolPapClusters IMR9 cyto pA+ bed 6 + IMR90 cytosol polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 93 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 cytosol polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel IMR9 cyto pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP\
track wgEncodeGisRnaPetImr90CytosolPapClusters\
type bed 6 +\
wgEncodeCshlLongRnaSeqK562CellLongnonpolyaAlnRep1 K562 cel pA- A 1 bam K562 whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL 0 93 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Alignments Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel K562 cel pA- A 1\
subGroups view=Alignments cellType=t1K562 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqK562CellLongnonpolyaAlnRep1\
type bam\
wgEncodeRikenCageK562CellPapPlusSignalRep2 K562 cell pA+ + 2 bigWig 0.040000 12450.700195 K562 whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN 2 93 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Plus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel K562 cell pA+ + 2\
subGroups view=PlusRawSignal cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CellPapPlusSignalRep2\
type bigWig 0.040000 12450.700195\
wgEncodeBroadHistoneK562Chd7a301223a1Pk K562 CHD7 broadPeak K562 CHD7 (A301-223A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 93 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CHD7 (A301-223A-1) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 CHD7\
subGroups view=Peaks factor=CHD7A301223A1 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd7a301223a1Pk\
type broadPeak\
wgEncodeOpenChromChipMcf7CtcfVehBaseOverlapSignal MCF-7 veh CTCF OS bigWig 0.000000 5010.000000 MCF-7 vehicle CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 93 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 vehicle CTCF TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 veh CTCF OS\
subGroups treatment=VEH view=SIGBO factor=CTCF cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7CtcfVehBaseOverlapSignal\
type bigWig 0.000000 5010.000000\
wgEncodeAwgDnaseDukeMelanoUniPk Melano DNase narrowPeak Melano DNaseI HS Uniform Peaks from ENCODE/Analysis 1 93 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Melano DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Melano DNase\
subGroups tier=a30 cellType=Melano\
track wgEncodeAwgDnaseDukeMelanoUniPk\
pgNA19649 MXL NA19649 pgSnp MXL NA19649 (Complete Genomics) 0 93 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19649 (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19649\
subGroups view=C_CG id=CG_div_GS19649 type=SNP\
track pgNA19649\
wgEncodeOpenChromFaireNhekBaseOverlapSignal NHEK FAIRE OS bigWig 0.000000 3137.000000 NHEK FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 93 179 0 134 217 127 194 1 0 0 regulation 0 color 179,0,134\
longLabel NHEK FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel NHEK FAIRE OS\
subGroups view=SIGBO cellType=t3NHEK treatment=AANONE\
track wgEncodeOpenChromFaireNhekBaseOverlapSignal\
type bigWig 0.000000 3137.000000\
wgEncodeCshlShortRnaSeqA549CytosolTapContigs A549 cyto TAP C bed 6 A549 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL 2 94 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 TAP-only cytosol small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 cyto TAP C\
subGroups view=Contigs cellType=t2A549 localization=CYTOSOL protocol=TAP rep=Pooled rank=none\
track wgEncodeCshlShortRnaSeqA549CytosolTapContigs\
type bed 6\
wgEncodeUwDnaseAg09309HotspotsRep2 AG09309 Ht 2 broadPeak AG09309 DNaseI HS HotSpots Rep 2 from ENCODE/UW 1 94 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 DNaseI HS HotSpots Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG09309 Ht 2\
subGroups view=Hot cellType=t3AG09309 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg09309HotspotsRep2\
type broadPeak\
wgEncodeUwTfbsAoafInputStdRawRep1 AoAF In Sg 1 bigWig 1.000000 17667.000000 AoAF Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 94 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AoAF Input TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel AoAF In Sg 1\
subGroups view=zRSig factor=zInput cellType=t3AOAF rep=rep1 treatment=aNone\
track wgEncodeUwTfbsAoafInputStdRawRep1\
type bigWig 1.000000 17667.000000\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_ctss_rev AorticSmsToIL1b_05hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_reverse 0 94 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep1%20%28LK55%29.CNhs13356.12660-134I5.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12660-134I5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_05hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_tpm_rev AorticSmsToIL1b_05hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_reverse 1 94 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep1%20%28LK55%29.CNhs13356.12660-134I5.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep1 (LK55)_CNhs13356_12660-134I5_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12660-134I5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_05hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep1LK55_CNhs13356_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12660-134I5\
urlLabel FANTOM5 Details:\
wgEncodeUwRepliSeqBjS3PctSignalRep1 BJ S3 1 bigWig 1.000000 100.000000 BJ S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 94 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ S3-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ S3 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p4S3 rep=rep1\
track wgEncodeUwRepliSeqBjS3PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseEcc1Dm002p1hPk ECC-1 DMSO Pk narrowPeak ECC-1 DMSO 0.02% DNaseI HS Peaks from ENCODE/Duke 3 94 0 0 0 127 127 127 1 0 0 regulation 1 longLabel ECC-1 DMSO 0.02% DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel ECC-1 DMSO Pk\
subGroups view=Peaks cellType=t3ECC1 treatment=DM002P1H\
track wgEncodeOpenChromDnaseEcc1Dm002p1hPk\
type narrowPeak\
encTfChipPkENCFF420YHY GM12878 CBX5 narrowPeak Transcription Factor ChIP-seq Peaks of CBX5 in GM12878 from ENCODE 3 (ENCFF420YHY) 1 94 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CBX5 in GM12878 from ENCODE 3 (ENCFF420YHY)\
parent encTfChipPk off\
shortLabel GM12878 CBX5\
subGroups cellType=GM12878 factor=CBX5\
track encTfChipPkENCFF420YHY\
wgEncodeHaibTfbsGm12878P300Pcr1xRawRep2 GM78 p300 PCR1 2 bigWig 0.185099 173.298996 GM12878 p300 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 94 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 p300 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 p300 PCR1 2\
subGroups view=RawSignal factor=P300 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878P300Pcr1xRawRep2\
type bigWig 0.185099 173.298996\
wgEncodeSydhTfbsGm12878WhipIggmusSig GM78 WHIP IgM bigWig 0.000000 6583.799805 GM12878 WHIP IgG-mus ChIP-seq Signal from ENCODE/SYDH 2 94 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 WHIP IgG-mus ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 WHIP IgM\
subGroups view=Signal factor=WHIP cellType=t1GM12878 control=IGGMUS treatment=aNONE\
track wgEncodeSydhTfbsGm12878WhipIggmusSig\
type bigWig 0.000000 6583.799805\
wgEncodeAwgTfbsHaibH1hescBcl11aPcr1xUniPk H1-hESC BCL11A narrowPeak H1-hESC TFBS Uniform Peaks of BCL11A from ENCODE/HudsonAlpha/Analysis 1 94 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of BCL11A from ENCODE/HudsonAlpha/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC BCL11A\
subGroups tier=a10 cellType=a10H1HESC factor=BCL11A lab=HudsonAlpha\
track wgEncodeAwgTfbsHaibH1hescBcl11aPcr1xUniPk\
wgEncodeUwHistoneHepg2InputStdRawRep1 HepG In Sg 1 bigWig 1.000000 7679.000000 HepG2 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 94 189 0 157 222 127 206 0 0 0 regulation 0 color 189,0,157\
longLabel HepG2 Input Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HepG In Sg 1\
subGroups view=zRSig factor=zInput cellType=t2HEPG2 rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHepg2InputStdRawRep1\
type bigWig 1.000000 7679.000000\
wgEncodeUwDgfHipePk HIPEpiC Pk narrowPeak HIPEpiC DNaseI DGF Peaks from ENCODE/UW 0 94 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HIPEpiC DNaseI DGF Peaks from ENCODE/UW\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HIPEpiC Pk\
subGroups view=Peaks cellType=t3HIPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHipePk\
type narrowPeak\
wgEncodeDukeAffyExonHmecSimpleSignalRep2V2 HMEC 2 bigBed 6 + HMEC Exon array Signal Rep 2 from ENCODE/Duke 0 94 0 0 0 127 127 127 1 0 0 expression 1 longLabel HMEC Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HMEC 2\
subGroups cellType=t3HMEC treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHmecSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeUwAffyExonArrayHmvecdbladSimpleSignalRep2 HMVEC-dBl-Ad 2 broadPeak HMVEC-dBl-Ad Exon array Signal Rep 2 from ENCODE/UW 0 94 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dBl-Ad Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dBl-Ad 2\
subGroups cellType=t3HMVECDBLAD rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdbladSimpleSignalRep2\
type broadPeak\
wgEncodeHaibMethylRrbsHrpeUwSitesRep2 HRPEpiC 2 bed 9 + HRPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 94 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HRPEpiC Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HRPEpiC 2\
subGroups cellType=t3HRPEPIC obtainedBy=UW treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHrpeUwSitesRep2\
type bed 9 +\
wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UPlusRawRep2V4 HUVEC 1x75D + 2 bigWig 0.025000 32384.500000 HUVEC single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech 2 94 224 75 0 239 165 127 0 0 0 expression 0 color 224,75,0\
longLabel HUVEC single read RNA-seq Plus Signal Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewPlusSignal off\
shortLabel HUVEC 1x75D + 2\
subGroups view=PlusSignal cellType=t2HUVEC readType=r1x75D insertLength=ilNa rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dTh1014UPlusRawRep2V4\
type bigWig 0.025000 32384.500000\
wgEncodeGisRnaPetImr90CytosolPapMinusRawRep1 IMR9 cyto pA+ - 1 bigWig 1.000000 1362750.000000 IMR90 cytosol polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS 2 94 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 cytosol polyA+ clone-free RNA PET Minus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel IMR9 cyto pA+ - 1\
subGroups view=v2MinusRawSignal cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CytosolPapMinusRawRep1\
type bigWig 1.000000 1362750.000000\
wgEncodeCshlLongRnaSeqK562CellLongnonpolyaAlnRep2 K562 cel pA- A 2 bam K562 whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL 0 94 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Alignments Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewAlignments off\
shortLabel K562 cel pA- A 2\
subGroups view=Alignments cellType=t1K562 localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqK562CellLongnonpolyaAlnRep2\
type bam\
wgEncodeRikenCageK562CellPapMinusSignalRep1 K562 cell pA+ - 1 bigWig 0.050000 18315.849609 K562 whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN 2 94 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Minus start sites Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal on\
shortLabel K562 cell pA+ - 1\
subGroups view=MinusRawSignal cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CellPapMinusSignalRep1\
type bigWig 0.050000 18315.849609\
wgEncodeBroadHistoneK562Chd7a301223a1Sig K562 CHD7 bigWig 0.040000 386.600006 K562 CHD7 (A301-223A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 94 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CHD7 (A301-223A-1) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 CHD7\
subGroups view=Signal factor=CHD7A301223A1 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Chd7a301223a1Sig\
type bigWig 0.040000 386.600006\
wgEncodeOpenChromChipMcf7Pol2PkRep1 MCF-7 Pol2 Pk narrowPeak MCF-7 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 94 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 Pol2 Pk\
subGroups treatment=AANONE view=Peaks factor=POL2 cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7Pol2PkRep1\
type narrowPeak\
pgNA19649indel MXL NA19649 indel pgSnp MXL NA19649 indel (Complete Genomics) 0 94 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19649 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19649 indel\
subGroups view=C_CG id=CG_div_GS19649 type=Indel\
track pgNA19649indel\
wgEncodeAwgDnaseDukeMyometrUniPk Myometr DNase narrowPeak Myometr DNaseI HS Uniform Peaks from ENCODE/Analysis 1 94 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Myometr DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel Myometr DNase\
subGroups tier=a30 cellType=Myometr\
track wgEncodeAwgDnaseDukeMyometrUniPk\
wgEncodeOpenChromFairePancreasocPk Pancreas FAIRE Pk narrowPeak Pancreas FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 94 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Pancreas FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel Pancreas FAIRE Pk\
subGroups view=Peaks cellType=t3PANCREASOC treatment=AANONE\
track wgEncodeOpenChromFairePancreasocPk\
type narrowPeak\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapMinusRep3 A549 cyto TAP - 1 bigWig 1.000000 5539866.000000 A549 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 95 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only cytosol small RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto TAP - 1\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapMinusRep3\
type bigWig 1.000000 5539866.000000\
wgEncodeUwDnaseAg09309PkRep2 AG09309 Pk 2 narrowPeak AG09309 DNaseI HS Peaks Rep 2 from ENCODE/UW 1 95 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09309 DNaseI HS Peaks Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG09309 Pk 2\
subGroups view=Peaks cellType=t3AG09309 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg09309PkRep2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_ctss_fwd AorticSmsToIL1b_05hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_forward 0 95 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep2%20%28LK56%29.CNhs13377.12758-136B4.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12758-136B4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_05hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_tpm_fwd AorticSmsToIL1b_05hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_forward 1 95 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep2%20%28LK56%29.CNhs13377.12758-136B4.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12758-136B4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_05hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsBe2cCtcfStdHotspotsRep1 BE2c CTCF Ht 1 broadPeak BE2c CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW 2 95 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2c CTCF TFBS ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel BE2c CTCF Ht 1\
subGroups view=Hot factor=CTCF cellType=t3BE2C rep=rep1 treatment=aNone\
track wgEncodeUwTfbsBe2cCtcfStdHotspotsRep1\
type broadPeak\
wgEncodeUwRepliSeqBjS4PctSignalRep1 BJ S4 1 bigWig 1.000000 100.000000 BJ S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 95 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ S4-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ S4 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p5S4 rep=rep1\
track wgEncodeUwRepliSeqBjS4PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseEcc1Dm002p1hSig ECC-1 DMSO DS bigWig 0.000000 0.563500 ECC-1 DMSO 0.02% DNaseI HS Density Signal from ENCODE/Duke 2 95 0 0 0 127 127 127 1 0 0 regulation 0 longLabel ECC-1 DMSO 0.02% DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel ECC-1 DMSO DS\
subGroups view=SIG cellType=t3ECC1 treatment=DM002P1H\
track wgEncodeOpenChromDnaseEcc1Dm002p1hSig\
type bigWig 0.000000 0.563500\
encTfChipPkENCFF761MGJ GM12878 CEBPB narrowPeak Transcription Factor ChIP-seq Peaks of CEBPB in GM12878 from ENCODE 3 (ENCFF761MGJ) 1 95 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CEBPB in GM12878 from ENCODE 3 (ENCFF761MGJ)\
parent encTfChipPk off\
shortLabel GM12878 CEBPB\
subGroups cellType=GM12878 factor=CEBPB\
track encTfChipPkENCFF761MGJ\
wgEncodeHaibTfbsGm12878Pax5c20Pcr1xPkRep1 GM78 PAX5 PCR1 1 broadPeak GM12878 PAX5-C20 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 95 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PAX5-C20 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 PAX5 PCR1 1\
subGroups view=Peaks factor=PAX5C20 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Pax5c20Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Yy1StdPk GM78 YY1 Std narrowPeak GM12878 YY1 Standard ChIP-seq Peaks from ENCODE/SYDH 3 95 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 YY1 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 YY1 Std\
subGroups view=Peaks factor=YY1 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Yy1StdPk\
type narrowPeak\
wgEncodeAwgTfbsSydhH1hescBrca1IggrabUniPk H1-hESC BRCA1 narrowPeak H1-hESC TFBS Uniform Peaks of BRCA1_(A300-000A) from ENCODE/Stanford/Analysis 1 95 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of BRCA1_(A300-000A) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC BRCA1\
subGroups tier=a10 cellType=a10H1HESC factor=BRCA1 lab=Stanford\
track wgEncodeAwgTfbsSydhH1hescBrca1IggrabUniPk\
wgEncodeUwDgfHipeSig HIPEpiC Sig bigWig 1.000000 125548.000000 HIPEpiC DNaseI DGF Per-base Signal from ENCODE/UW 2 95 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HIPEpiC DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HIPEpiC Sig\
subGroups view=Signal cellType=t3HIPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHipeSig\
type bigWig 1.000000 125548.000000\
wgEncodeUwAffyExonArrayHmvecdblneoSimpleSignalRep1 HMVEC-dBl-Neo 1 broadPeak HMVEC-dBl-Neo Exon array Signal Rep 1 from ENCODE/UW 0 95 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dBl-Neo Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dBl-Neo 1\
subGroups cellType=t3HMVECDBLNEO rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdblneoSimpleSignalRep1\
type broadPeak\
wgEncodeDukeAffyExonHpde6e6e7SimpleSignalRep1V2 HPDE6-E6E7 1 bigBed 6 + HPDE6-E6E7 Exon array Signal Rep 1 from ENCODE/Duke 0 95 0 0 0 127 127 127 1 0 0 expression 1 longLabel HPDE6-E6E7 Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HPDE6-E6E7 1\
subGroups cellType=t3HPDE6E6E7 treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHpde6e6e7SimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmDukeSitesRep1 HSMM 1 bed 9 + HSMM Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 95 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMM 1\
subGroups obtainedBy=DUKE cellType=t3HSMM treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHsmmDukeSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdHotspotsRep1 HUVE H3K4M3 Ht 1 broadPeak HUVEC H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW 2 95 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Hotspots 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HUVE H3K4M3 Ht 1\
subGroups view=Hot factor=H3K04ME3 cellType=t2HUVEC rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdHotspotsRep1\
type broadPeak\
wgEncodeCaltechRnaSeqHuvecR1x75dSplicesRep1V2 HUVEC 1x75D Sp 1 bam HUVEC single read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 95 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC single read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HUVEC 1x75D Sp 1\
subGroups view=Splices cellType=t2HUVEC insertLength=ilNa readType=r1x75D rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dSplicesRep1V2\
type bam\
wgEncodeGisRnaPetImr90CytosolPapMinusRawRep2 IMR9 cyto pA+ - 2 bigWig 1.000000 1212040.000000 IMR90 cytosol polyA+ clone-free RNA PET Minus signal Rep 2 from ENCODE/GIS 2 95 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 cytosol polyA+ clone-free RNA PET Minus signal Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewMinusRawSig off\
shortLabel IMR9 cyto pA+ - 2\
subGroups view=v2MinusRawSignal cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CytosolPapMinusRawRep2\
type bigWig 1.000000 1212040.000000\
wgEncodeCshlLongRnaSeqK562CellPamContigs K562 cel pA- C bed 6 + K562 whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL 3 95 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Contigs Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewContigs off\
shortLabel K562 cel pA- C\
subGroups view=Contigs rep=Pooled rank=none cellType=t1K562 localization=CELL rnaExtract=PAM\
track wgEncodeCshlLongRnaSeqK562CellPamContigs\
type bed 6 +\
wgEncodeRikenCageK562CellPapMinusSignalRep2 K562 cell pA+ - 2 bigWig 0.040000 18586.400391 K562 whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN 2 95 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Minus start sites Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewMinusSignal off\
shortLabel K562 cell pA+ - 2\
subGroups view=MinusRawSignal cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CellPapMinusSignalRep2\
type bigWig 0.040000 18586.400391\
wgEncodeBroadHistoneK562CtcfStdPk K562 CTCF broadPeak K562 CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 95 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 CTCF Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks\
shortLabel K562 CTCF\
subGroups view=Peaks factor=CTCF cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562CtcfStdPk\
type broadPeak\
wgEncodeOpenChromChipMcf7Pol2Sig MCF-7 Pol2 DS bigWig 0.000000 3.522500 MCF-7 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA 2 95 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Pol2 TFBS ChIP-seq Density Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 Pol2 DS\
subGroups treatment=AANONE view=SIG factor=POL2 cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7Pol2Sig\
type bigWig 0.000000 3.522500\
pgNA19669 MXL NA19669 pgSnp MXL NA19669 (Complete Genomics) 0 95 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19669 (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19669\
subGroups view=C_CG id=CG_div_GS19669 type=SNP\
track pgNA19669\
wgEncodeAwgDnaseUwNb4UniPk NB4 DNase narrowPeak NB4 DNaseI HS Uniform Peaks from ENCODE/Analysis 1 95 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NB4 DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel NB4 DNase\
subGroups tier=a30 cellType=NB4\
track wgEncodeAwgDnaseUwNb4UniPk\
wgEncodeOpenChromFairePancreasocSig Pancreas FAIRE DS bigWig 0.000000 1.547700 Pancreas FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 95 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Pancreas FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel Pancreas FAIRE DS\
subGroups view=SIG cellType=t3PANCREASOC treatment=AANONE\
track wgEncodeOpenChromFairePancreasocSig\
type bigWig 0.000000 1.547700\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapMinusRep4 A549 cyto TAP - 2 bigWig 1.000000 5349724.000000 A549 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 96 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only cytosol small RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewMinusSignal off\
shortLabel A549 cyto TAP - 2\
subGroups view=MinusSignal cellType=t2A549 localization=CYTOSOL protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapMinusRep4\
type bigWig 1.000000 5349724.000000\
wgEncodeUwDnaseAg09309RawRep2 AG09309 Sg 2 bigWig 1.000000 51881.000000 AG09309 DNaseI HS Raw Signal Rep 2 from ENCODE/UW 2 96 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09309 DNaseI HS Raw Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG09309 Sg 2\
subGroups view=zRSig cellType=t3AG09309 rep=rep2 treatment=None\
track wgEncodeUwDnaseAg09309RawRep2\
type bigWig 1.000000 51881.000000\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_ctss_rev AorticSmsToIL1b_05hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_reverse 0 96 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep2%20%28LK56%29.CNhs13377.12758-136B4.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12758-136B4 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_05hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_tpm_rev AorticSmsToIL1b_05hrBr2- bigWig Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_reverse 1 96 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2005hr%2c%20biol_rep2%20%28LK56%29.CNhs13377.12758-136B4.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 05hr, biol_rep2 (LK56)_CNhs13377_12758-136B4_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12758-136B4 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_05hrBr2-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b05hrBiolRep2LK56_CNhs13377_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12758-136B4\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsBe2cCtcfStdPkRep1 BE2c CTCF Pk 1 narrowPeak BE2c CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW 3 96 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2c CTCF TFBS ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel BE2c CTCF Pk 1\
subGroups view=Peaks factor=CTCF cellType=t3BE2C rep=rep1 treatment=aNone\
track wgEncodeUwTfbsBe2cCtcfStdPkRep1\
type narrowPeak\
wgEncodeUwRepliSeqBjG2PctSignalRep1 BJ G2 1 bigWig 1.000000 100.000000 BJ G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW 1 96 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ G2-Phase Repli-seq Percentage-normalized Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPctSignal off\
shortLabel BJ G2 1\
subGroups view=v1PctSignal cellType=t3BJ phase=p6G2 rep=rep1\
track wgEncodeUwRepliSeqBjG2PctSignalRep1\
type bigWig 1.000000 100.000000\
wgEncodeOpenChromDnaseEcc1Dm002p1hBaseOverlapSignal ECC-1 DMSO OS bigWig 0.000000 198.000000 ECC-1 DMSO 0.02% DNaseI HS Overlap Signal from ENCODE/Duke 2 96 0 0 0 127 127 127 1 0 0 regulation 0 longLabel ECC-1 DMSO 0.02% DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel ECC-1 DMSO OS\
subGroups view=SIGBO cellType=t3ECC1 treatment=DM002P1H\
track wgEncodeOpenChromDnaseEcc1Dm002p1hBaseOverlapSignal\
type bigWig 0.000000 198.000000\
encTfChipPkENCFF273ULT GM12878 CHD1 narrowPeak Transcription Factor ChIP-seq Peaks of CHD1 in GM12878 from ENCODE 3 (ENCFF273ULT) 1 96 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CHD1 in GM12878 from ENCODE 3 (ENCFF273ULT)\
parent encTfChipPk off\
shortLabel GM12878 CHD1\
subGroups cellType=GM12878 factor=CHD1\
track encTfChipPkENCFF273ULT\
wgEncodeHaibTfbsGm12878Pax5c20Pcr1xRawRep1 GM78 PAX5 PCR1 1 bigWig 0.088808 142.625000 GM12878 PAX5-C20 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 96 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 PAX5-C20 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 PAX5 PCR1 1\
subGroups view=RawSignal factor=PAX5C20 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Pax5c20Pcr1xRawRep1\
type bigWig 0.088808 142.625000\
wgEncodeSydhTfbsGm12878Yy1StdSig GM78 YY1 Std bigWig 0.000000 15035.299805 GM12878 YY1 Standard ChIP-seq Signal from ENCODE/SYDH 2 96 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 YY1 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 YY1 Std\
subGroups view=Signal factor=YY1 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Yy1StdSig\
type bigWig 0.000000 15035.299805\
wgEncodeAwgTfbsSydhH1hescCebpbIggrabUniPk H1-hESC CEBPB narrowPeak H1-hESC TFBS Uniform Peaks of CEBPB from ENCODE/Stanford/Analysis 1 96 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of CEBPB from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC CEBPB\
subGroups tier=a10 cellType=a10H1HESC factor=CEBPB lab=Stanford\
track wgEncodeAwgTfbsSydhH1hescCebpbIggrabUniPk\
wgEncodeUwDgfHipeRaw HIPEpiC Raw bigWig 1.000000 217432.000000 HIPEpiC DNaseI DGF Raw Signal from ENCODE/UW 0 96 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HIPEpiC DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HIPEpiC Raw\
subGroups view=zRaw cellType=t3HIPEPIC treatment=aNONE rep=rep1\
track wgEncodeUwDgfHipeRaw\
type bigWig 1.000000 217432.000000\
wgEncodeUwAffyExonArrayHmvecdblneoSimpleSignalRep2 HMVEC-dBl-Neo 2 broadPeak HMVEC-dBl-Neo Exon array Signal Rep 2 from ENCODE/UW 0 96 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dBl-Neo Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dBl-Neo 2\
subGroups cellType=t3HMVECDBLNEO rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdblneoSimpleSignalRep2\
type broadPeak\
wgEncodeDukeAffyExonHpde6e6e7SimpleSignalRep2V2 HPDE6-E6E7 2 bigBed 6 + HPDE6-E6E7 Exon array Signal Rep 2 from ENCODE/Duke 0 96 0 0 0 127 127 127 1 0 0 expression 1 longLabel HPDE6-E6E7 Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HPDE6-E6E7 2\
subGroups cellType=t3HPDE6E6E7 treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHpde6e6e7SimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmDukeSitesRep2 HSMM 2 bed 9 + HSMM Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha 1 96 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM Methyl-RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMM 2\
subGroups obtainedBy=DUKE cellType=t3HSMM treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHsmmDukeSitesRep2\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdPkRep1 HUVE H3K4M3 Pk 1 narrowPeak HUVEC H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW 3 96 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Peaks 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HUVE H3K4M3 Pk 1\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HUVEC rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdPkRep1\
type narrowPeak\
wgEncodeCaltechRnaSeqHuvecR1x75dSplicesRep2V2 HUVEC 1x75D Sp 2 bam HUVEC single read RNA-seq Splices Rep 2 from ENCODE/Caltech 0 96 224 75 0 239 165 127 0 0 0 expression 1 color 224,75,0\
longLabel HUVEC single read RNA-seq Splices Rep 2 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel HUVEC 1x75D Sp 2\
subGroups view=Splices cellType=t2HUVEC insertLength=ilNa readType=r1x75D rep=rep2 treatment=aNone\
track wgEncodeCaltechRnaSeqHuvecR1x75dSplicesRep2V2\
type bam\
wgEncodeGisRnaPetImr90CytosolPapPlusRawRep1 IMR9 cyto pA+ + 1 bigWig 1.000000 1550300.000000 IMR90 cytosol polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS 2 96 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 cytosol polyA+ clone-free RNA PET Plus signal Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel IMR9 cyto pA+ + 1\
subGroups view=v2PlusRawSignal cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CytosolPapPlusRawRep1\
type bigWig 1.000000 1550300.000000\
wgEncodeCshlLongRnaSeqK562CellPamJunctions K562 cel pA- J bed 6 + K562 whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL 0 96 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Junctions Pooled from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewJunctions off\
shortLabel K562 cel pA- J\
subGroups view=Junctions cellType=t1K562 localization=CELL rnaExtract=PAM rep=Pooled rank=none\
track wgEncodeCshlLongRnaSeqK562CellPamJunctions\
type bed 6 +\
wgEncodeRikenCageK562CellPapAlnRep1 K562 cell pA+ A 1 bam K562 whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN 0 96 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Alignments Rep 1 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 cell pA+ A 1\
subGroups view=Alignments cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep1 rank=rank1\
track wgEncodeRikenCageK562CellPapAlnRep1\
type bam\
wgEncodeBroadHistoneK562CtcfStdSig K562 CTCF bigWig 0.040000 11319.440430 K562 CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 96 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 CTCF Histone Mods by ChIP-seq Signal from ENCODE/Broad\
parent wgEncodeBroadHistoneViewSignal\
shortLabel K562 CTCF\
subGroups view=Signal factor=CTCF cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562CtcfStdSig\
type bigWig 0.040000 11319.440430\
wgEncodeOpenChromChipMcf7Pol2BaseOverlapSignal MCF-7 Pol2 OS bigWig 0.000000 3498.000000 MCF-7 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA 2 96 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 Pol2 TFBS ChIP-seq Overlap Signal ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 Pol2 OS\
subGroups treatment=AANONE view=SIGBO factor=POL2 cellType=t2MCF7\
track wgEncodeOpenChromChipMcf7Pol2BaseOverlapSignal\
type bigWig 0.000000 3498.000000\
pgNA19669indel MXL NA19669 indel pgSnp MXL NA19669 indel (Complete Genomics) 0 96 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19669 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19669 indel\
subGroups view=C_CG id=CG_div_GS19669 type=Indel\
track pgNA19669indel\
wgEncodeAwgDnaseUwNhaUniPk NH-A DNase narrowPeak NH-A DNaseI HS Uniform Peaks from ENCODE/Analysis 1 96 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NH-A DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel NH-A DNase\
subGroups tier=a30 cellType=NH-A\
track wgEncodeAwgDnaseUwNhaUniPk\
wgEncodeOpenChromFairePancreasocBaseOverlapSignal Pancreas FAIRE OS bigWig 0.000000 2501.000000 Pancreas FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 96 0 0 0 127 127 127 1 0 0 regulation 0 longLabel Pancreas FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel Pancreas FAIRE OS\
subGroups view=SIGBO cellType=t3PANCREASOC treatment=AANONE\
track wgEncodeOpenChromFairePancreasocBaseOverlapSignal\
type bigWig 0.000000 2501.000000\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapPlusRep3 A549 cyto TAP + 1 bigWig 1.000000 4428397.000000 A549 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 97 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only cytosol small RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto TAP + 1\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=TAP rep=rep3 rank=rank1\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapPlusRep3\
type bigWig 1.000000 4428397.000000\
wgEncodeUwDnaseAg09319HotspotsRep1 AG09319 Ht 1 broadPeak AG09319 DNaseI HS HotSpots Rep 1 from ENCODE/UW 1 97 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 DNaseI HS HotSpots Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewHot off\
shortLabel AG09319 Ht 1\
subGroups view=Hot cellType=t3AG09319 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09319HotspotsRep1\
type broadPeak\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_ctss_fwd AorticSmsToIL1b_06hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_forward 0 97 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep1%20%28LK58%29.CNhs13357.12661-134I6.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12661-134I6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_06hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_tpm_fwd AorticSmsToIL1b_06hrBr1+ bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_forward 1 97 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep1%20%28LK58%29.CNhs13357.12661-134I6.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12661-134I6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_06hrBr1+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsBe2cCtcfStdRawRep1 BE2c CTCF Sg 1 bigWig 1.000000 23779.000000 BE2c CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW 2 97 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BE2c CTCF TFBS ChIP-seq Raw Signal 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewRawSig off\
shortLabel BE2c CTCF Sg 1\
subGroups view=zRSig factor=CTCF cellType=t3BE2C rep=rep1 treatment=aNone\
track wgEncodeUwTfbsBe2cCtcfStdRawRep1\
type bigWig 1.000000 23779.000000\
wgEncodeUwRepliSeqBjPkRep1 BJ Pk 1 bed 9 BJ Repli-seq Peaks Rep 1 from ENCODE/UW 0 97 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BJ Repli-seq Peaks Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewPeaks off\
shortLabel BJ Pk 1\
subGroups view=v2Peaks cellType=t3BJ phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBjPkRep1\
type bed 9\
wgEncodeOpenChromDnaseEcc1Est10nm30mPk ECC-1 Estr 30m Pk narrowPeak ECC-1 Estradiol 10 nM 30 m DNaseI HS Peaks from ENCODE/Duke 3 97 0 0 0 127 127 127 1 0 0 regulation 1 longLabel ECC-1 Estradiol 10 nM 30 m DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel ECC-1 Estr 30m Pk\
subGroups view=Peaks cellType=t3ECC1 treatment=EST10NM30M\
track wgEncodeOpenChromDnaseEcc1Est10nm30mPk\
type narrowPeak\
encTfChipPkENCFF499ZPP GM12878 CHD4 narrowPeak Transcription Factor ChIP-seq Peaks of CHD4 in GM12878 from ENCODE 3 (ENCFF499ZPP) 1 97 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CHD4 in GM12878 from ENCODE 3 (ENCFF499ZPP)\
parent encTfChipPk off\
shortLabel GM12878 CHD4\
subGroups cellType=GM12878 factor=CHD4\
track encTfChipPkENCFF499ZPP\
wgEncodeHaibTfbsGm12878Pax5c20Pcr1xPkRep2 GM78 PAX5 PCR1 2 broadPeak GM12878 PAX5-C20 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB 3 97 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PAX5-C20 PCR1x ChIP-seq Peaks Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 PAX5 PCR1 2\
subGroups view=Peaks factor=PAX5C20 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Pax5c20Pcr1xPkRep2\
type broadPeak\
wgEncodeSydhTfbsGm12878Znf143166181apStdPk GM78 Z143 Std narrowPeak GM12878 Znf143 Standard ChIP-seq Peaks from ENCODE/SYDH 3 97 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 Znf143 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks off\
shortLabel GM78 Z143 Std\
subGroups view=Peaks factor=ZNF143166181AP cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Znf143166181apStdPk\
type narrowPeak\
wgEncodeAwgTfbsBroadH1hescChd1a301218aUniPk H1-hESC CHD1 b narrowPeak H1-hESC TFBS Uniform Peaks of CHD1_(A301-218A) from ENCODE/Broad/Analysis 1 97 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of CHD1_(A301-218A) from ENCODE/Broad/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC CHD1 b\
subGroups tier=a10 cellType=a10H1HESC factor=CHD1 lab=Broad\
track wgEncodeAwgTfbsBroadH1hescChd1a301218aUniPk\
wgEncodeUwDgfHmfHotspots HMF Hot broadPeak HMF DNaseI DGF Hotspots from ENCODE/UW 0 97 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMF DNaseI DGF Hotspots from ENCODE/UW\
parent wgEncodeUwDgfViewHotspots off\
shortLabel HMF Hot\
subGroups view=Hotspots cellType=t3HMF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHmfHotspots\
type broadPeak\
wgEncodeUwAffyExonArrayHmvecdlyadSimpleSignalRep1 HMVEC-dLy-Ad 1 broadPeak HMVEC-dLy-Ad Exon array Signal Rep 1 from ENCODE/UW 0 97 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dLy-Ad Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dLy-Ad 1\
subGroups cellType=t3HMVECDLYAD rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdlyadSimpleSignalRep1\
type broadPeak\
wgEncodeDukeAffyExonHsmmSimpleSignalRep1V2 HSMM 1 bigBed 6 + HSMM Exon array Signal Rep 1 from ENCODE/Duke 0 97 0 0 0 127 127 127 1 0 0 expression 1 longLabel HSMM Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HSMM 1\
subGroups cellType=t3HSMM treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHsmmSimpleSignalRep1V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep1 HSMM_FSHD 1 bed 9 + HSMM FSHD Methyl RRBS Rep 1 from ENCODE/HudsonAlpha 1 97 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM FSHD Methyl RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMM_FSHD 1\
subGroups cellType=t3HSMMFSHD obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdRawRep1 HUVE H3K4M3 Sg 1 bigWig 1.000000 3357.000000 HUVEC H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW 2 97 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Raw Sig 1 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HUVE H3K4M3 Sg 1\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HUVEC rep=rep1 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdRawRep1\
type bigWig 1.000000 3357.000000\
wgEncodeGisRnaPetImr90CytosolPapPlusRawRep2 IMR9 cyto pA+ + 2 bigWig 1.000000 1488120.000000 IMR90 cytosol polyA+ clone-free RNA PET Plus signal Rep 2 from ENCODE/GIS 2 97 0 0 0 127 127 127 0 0 0 expression 0 longLabel IMR90 cytosol polyA+ clone-free RNA PET Plus signal Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewPlusRawSig off\
shortLabel IMR9 cyto pA+ + 2\
subGroups view=v2PlusRawSignal cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CytosolPapPlusRawRep2\
type bigWig 1.000000 1488120.000000\
wgEncodeCshlLongRnaSeqK562CellLongnonpolyaMinusRawSigRep1 K562 cel pA- - 1 bigWig 1.000000 812379.000000 K562 whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL 2 97 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Minus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel K562 cel pA- - 1\
subGroups view=MinusSignal cellType=t1K562 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqK562CellLongnonpolyaMinusRawSigRep1\
type bigWig 1.000000 812379.000000\
wgEncodeRikenCageK562CellPapAlnRep2 K562 cell pA+ A 2 bam K562 whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN 0 97 46 0 184 150 127 219 0 0 0 expression 1 color 46,0,184\
longLabel K562 whole cell polyA+ CAGE Alignments Rep 2 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewAlignments off\
shortLabel K562 cell pA+ A 2\
subGroups view=Alignments cellType=t1K562 localization=wcell rnaExtract=pAP rep=rep2 rank=rank2\
track wgEncodeRikenCageK562CellPapAlnRep2\
type bam\
wgEncodeBroadHistoneK562Ezh239875StdPk K562 EZH2 broadPeak K562 EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 97 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 EZH2 (39875) Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 EZH2\
subGroups view=Peaks factor=EZH239875 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Ezh239875StdPk\
type broadPeak\
wgEncodeCaltechRnaSeqLhcnm2R2x75Il200AlignsRep1V2 LHCN 2x75 A 1 bam LHCN-M2 Myoblast 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 97 0 0 0 127 127 127 0 0 0 expression 1 longLabel LHCN-M2 Myoblast 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel LHCN 2x75 A 1\
subGroups view=Aligns cellType=t2LHCNM2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqLhcnm2R2x75Il200AlignsRep1V2\
type bam\
wgEncodeOpenChromChipMcf7Pol2SerumstvdPkRep1 MCF-7 Pol2 stv Pk narrowPeak MCF-7 serum starved Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA 3 97 0 0 0 127 127 127 1 0 0 regulation 1 longLabel MCF-7 serum starved Pol2 TFBS ChIP-seq Peaks from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewPeaks off\
shortLabel MCF-7 Pol2 stv Pk\
subGroups view=Peaks factor=POL2 cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7Pol2SerumstvdPkRep1\
type narrowPeak\
pgNA19670 MXL NA19670 pgSnp MXL NA19670 (Complete Genomics) 0 97 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19670 (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19670\
subGroups view=C_CG id=CG_div_GS19670 type=SNP\
track pgNA19670\
wgEncodeAwgDnaseUwNhdfadUniPk NHDF-Ad DNase narrowPeak NHDF-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis 1 97 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NHDF-Ad DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel NHDF-Ad DNase\
subGroups tier=a30 cellType=NHDF-Ad\
track wgEncodeAwgDnaseUwNhdfadUniPk\
wgEncodeOpenChromFairePanisletsPk PanIslet FAIRE Pk narrowPeak PanIslets FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 97 0 0 0 127 127 127 1 0 0 regulation 1 longLabel PanIslets FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel PanIslet FAIRE Pk\
subGroups view=Peaks cellType=t3PANISLETS treatment=AANONE\
track wgEncodeOpenChromFairePanisletsPk\
type narrowPeak\
wgEncodeRikenCageA549CytosolPapTssHmm A549 cyto pA+ bed 6 A549 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN 3 98 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 cytosol polyA+ CAGE TSS HMM from ENCODE/RIKEN\
parent wgEncodeRikenCageViewTssHmm off\
shortLabel A549 cyto pA+\
subGroups view=TssHmm cellType=t2A549 localization=cytosol rnaExtract=pAP rep=Pooled rank=rankP\
track wgEncodeRikenCageA549CytosolPapTssHmm\
type bed 6\
wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapPlusRep4 A549 cyto TAP + 2 bigWig 1.000000 5125971.000000 A549 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL 2 98 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 TAP-only cytosol small RNA-seq Plus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewPlusSignal off\
shortLabel A549 cyto TAP + 2\
subGroups view=PlusSignal cellType=t2A549 localization=CYTOSOL protocol=TAP rep=rep4 rank=rank2\
track wgEncodeCshlShortRnaSeqA549CytosolShorttotalTapPlusRep4\
type bigWig 1.000000 5125971.000000\
wgEncodeUwDnaseAg09319PkRep1V2 AG09319 Pk 1 narrowPeak AG09319 DNaseI HS Peaks Rep 1 from ENCODE/UW 1 98 0 0 0 127 127 127 0 0 0 regulation 1 longLabel AG09319 DNaseI HS Peaks Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewaPeaks off\
shortLabel AG09319 Pk 1\
subGroups view=Peaks cellType=t3AG09319 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09319PkRep1V2\
type narrowPeak\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_ctss_rev AorticSmsToIL1b_06hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_reverse 0 98 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep1%20%28LK58%29.CNhs13357.12661-134I6.hg19.ctss.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12661-134I6 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_06hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_ctss_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_tpm_rev AorticSmsToIL1b_06hrBr1- bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_reverse 1 98 0 0 255 127 127 255 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep1%20%28LK58%29.CNhs13357.12661-134I6.hg19.tpm.rev.bw\
color 0,0,255\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep1 (LK58)_CNhs13357_12661-134I6_reverse\
maxHeightPixels 100:8:8\
metadata ontology_id=12661-134I6 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_06hrBr1-\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=reverse\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep1LK58_CNhs13357_tpm_rev\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12661-134I6\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsBe2cCtcfStdHotspotsRep2 BE2c CTCF Ht 2 broadPeak BE2c CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW 2 98 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2c CTCF TFBS ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewHot off\
shortLabel BE2c CTCF Ht 2\
subGroups view=Hot factor=CTCF cellType=t3BE2C rep=rep2 treatment=aNone\
track wgEncodeUwTfbsBe2cCtcfStdHotspotsRep2\
type broadPeak\
wgEncodeUwRepliSeqBjValleysRep1 BJ Vly 1 bed 9 BJ Repli-seq Valleys Rep 1 from ENCODE/UW 0 98 0 0 0 127 127 127 1 0 0 regulation 1 longLabel BJ Repli-seq Valleys Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewValleys off\
shortLabel BJ Vly 1\
subGroups view=v3Valleys cellType=t3BJ phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBjValleysRep1\
type bed 9\
wgEncodeOpenChromDnaseEcc1Est10nm30mSig ECC-1 Estr 30m DS bigWig 0.000000 0.888500 ECC-1 Estradiol 10 nM 30 m DNaseI HS Density Signal from ENCODE/Duke 2 98 0 0 0 127 127 127 1 0 0 regulation 0 longLabel ECC-1 Estradiol 10 nM 30 m DNaseI HS Density Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSignal off\
shortLabel ECC-1 Estr 30m DS\
subGroups view=SIG cellType=t3ECC1 treatment=EST10NM30M\
track wgEncodeOpenChromDnaseEcc1Est10nm30mSig\
type bigWig 0.000000 0.888500\
encTfChipPkENCFF534CKB GM12878 CREM narrowPeak Transcription Factor ChIP-seq Peaks of CREM in GM12878 from ENCODE 3 (ENCFF534CKB) 1 98 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CREM in GM12878 from ENCODE 3 (ENCFF534CKB)\
parent encTfChipPk off\
shortLabel GM12878 CREM\
subGroups cellType=GM12878 factor=CREM\
track encTfChipPkENCFF534CKB\
wgEncodeHaibTfbsGm12878Pax5c20Pcr1xRawRep2 GM78 PAX5 PCR1 2 bigWig 0.225667 156.386993 GM12878 PAX5-C20 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB 2 98 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 PAX5-C20 PCR1x ChIP-seq Raw Signal Rep 2 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 PAX5 PCR1 2\
subGroups view=RawSignal factor=PAX5C20 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep2\
track wgEncodeHaibTfbsGm12878Pax5c20Pcr1xRawRep2\
type bigWig 0.225667 156.386993\
wgEncodeSydhTfbsGm12878Znf143166181apStdSig GM78 Z143 Std bigWig 1.000000 12838.000000 GM12878 Znf143 Standard ChIP-seq Signal from ENCODE/SYDH 2 98 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 Znf143 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal off\
shortLabel GM78 Z143 Std\
subGroups view=Signal factor=ZNF143166181AP cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Znf143166181apStdSig\
type bigWig 1.000000 12838.000000\
wgEncodeAwgTfbsSydhH1hescChd1a301218aIggrabUniPk H1-hESC CHD1 s narrowPeak H1-hESC TFBS Uniform Peaks of CHD1_(A301-218A) from ENCODE/Stanford/Analysis 1 98 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of CHD1_(A301-218A) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC CHD1 s\
subGroups tier=a10 cellType=a10H1HESC factor=CHD1 lab=Stanford\
track wgEncodeAwgTfbsSydhH1hescChd1a301218aIggrabUniPk\
wgEncodeUwDgfHmfPkV2 HMF Pk narrowPeak HMF DNaseI DGF Peaks from ENCODE/UW 0 98 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HMF DNaseI DGF Peaks from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwDgfViewPeaks off\
shortLabel HMF Pk\
subGroups view=Peaks cellType=t3HMF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHmfPkV2\
type narrowPeak\
wgEncodeUwAffyExonArrayHmvecdlyadSimpleSignalRep2 HMVEC-dLy-Ad 2 broadPeak HMVEC-dLy-Ad Exon array Signal Rep 2 from ENCODE/UW 0 98 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dLy-Ad Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dLy-Ad 2\
subGroups cellType=t3HMVECDLYAD rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdlyadSimpleSignalRep2\
type broadPeak\
wgEncodeDukeAffyExonHsmmSimpleSignalRep2V2 HSMM 2 bigBed 6 + HSMM Exon array Signal Rep 2 from ENCODE/Duke 0 98 0 0 0 127 127 127 1 0 0 expression 1 longLabel HSMM Exon array Signal Rep 2 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HSMM 2\
subGroups cellType=t3HSMM treatment=zNONE rep=rep2\
track wgEncodeDukeAffyExonHsmmSimpleSignalRep2V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep2 HSMM_FSHD 2 bed 9 + HSMM FSHD Methyl RRBS Rep 2 from ENCODE/HudsonAlpha 1 98 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM FSHD Methyl RRBS Rep 2 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMM_FSHD 2\
subGroups cellType=t3HSMMFSHD obtainedBy=DUKE treatment=zNone rep=rep2\
track wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep2\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdHotspotsRep2 HUVE H3K4M3 Ht 2 broadPeak HUVEC H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW 2 98 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Hotspots 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewHot off\
shortLabel HUVE H3K4M3 Ht 2\
subGroups view=Hot factor=H3K04ME3 cellType=t2HUVEC rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdHotspotsRep2\
type broadPeak\
wgEncodeGisRnaPetImr90CytosolPapAlnRep1 IMR9 cyto pA+ A 1 bam IMR90 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS 0 98 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 cytosol polyA+ clone-free RNA PET Alignments Rep 1 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel IMR9 cyto pA+ A 1\
subGroups view=v3Alignments cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep1 rank=rank1\
track wgEncodeGisRnaPetImr90CytosolPapAlnRep1\
type bam\
wgEncodeCshlLongRnaSeqK562CellLongnonpolyaMinusRawSigRep2 K562 cel pA- - 2 bigWig 1.000000 1504958.000000 K562 whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL 2 98 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Minus signal Rep 2 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewMinusSig off\
shortLabel K562 cel pA- - 2\
subGroups view=MinusSignal cellType=t1K562 localization=CELL rnaExtract=PAM rep=rep2 rank=rank2\
track wgEncodeCshlLongRnaSeqK562CellLongnonpolyaMinusRawSigRep2\
type bigWig 1.000000 1504958.000000\
wgEncodeBroadHistoneK562Ezh239875StdSig K562 EZH2 bigWig 0.040000 32918.300781 K562 EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad 2 98 46 0 184 150 127 219 1 0 0 regulation 0 color 46,0,184\
longLabel K562 EZH2 (39875) Histone Mods by ChIP-seq Signal from ENCODE/Broad\
origAssembly hg19\
parent wgEncodeBroadHistoneViewSignal off\
shortLabel K562 EZH2\
subGroups view=Signal factor=EZH239875 cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562Ezh239875StdSig\
type bigWig 0.040000 32918.300781\
wgEncodeCaltechRnaSeqLhcnm2R2x75Th1014Il200USigRep1V4 LHCN 2x75 Sg 1 bigWig 0.016100 286176.343750 LHCN-M2 Myoblast 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech 2 98 0 0 0 127 127 127 0 0 0 expression 0 longLabel LHCN-M2 Myoblast 200 bp paired read RNA-seq Signal Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSignal off\
shortLabel LHCN 2x75 Sg 1\
subGroups view=Signal cellType=t2LHCNM2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqLhcnm2R2x75Th1014Il200USigRep1V4\
type bigWig 0.016100 286176.343750\
wgEncodeOpenChromChipMcf7Pol2SerumstvdSig MCF-7 Pol2 stv DS bigWig 0.000000 4.383900 MCF-7 serum starved Pol2 TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA 2 98 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved Pol2 TFBS ChIP-seq Density Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSignal off\
shortLabel MCF-7 Pol2 stv DS\
subGroups view=SIG factor=POL2 cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7Pol2SerumstvdSig\
type bigWig 0.000000 4.383900\
pgNA19670indel MXL NA19670 indel pgSnp MXL NA19670 indel (Complete Genomics) 0 98 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19670 indel (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19670 indel\
subGroups view=C_CG id=CG_div_GS19670 type=Indel\
track pgNA19670indel\
wgEncodeAwgDnaseUwNhdfneoUniPk NHDF-neo DNase narrowPeak NHDF-neo DNaseI HS Uniform Peaks from ENCODE/Analysis 1 98 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NHDF-neo DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform off\
shortLabel NHDF-neo DNase\
subGroups tier=a30 cellType=NHDF-neo\
track wgEncodeAwgDnaseUwNhdfneoUniPk\
wgEncodeOpenChromFairePanisletsSig PanIslet FAIRE DS bigWig 0.000000 0.373200 PanIslets FAIRE Density Signal from ENCODE/OpenChrom(UNC) 2 98 0 0 0 127 127 127 1 0 0 regulation 0 longLabel PanIslets FAIRE Density Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSignal off\
shortLabel PanIslet FAIRE DS\
subGroups view=SIG cellType=t3PANISLETS treatment=AANONE\
track wgEncodeOpenChromFairePanisletsSig\
type bigWig 0.000000 0.373200\
wgEncodeRikenCageA549CytosolPapPlusRawRep3 A549 cyto pA+ + 3 bigWig 1.000000 433645.000000 A549 cytosol polyA+ CAGE Plus start sites Rep 3 from ENCODE/RIKEN 2 99 0 0 0 127 127 127 0 0 0 expression 0 longLabel A549 cytosol polyA+ CAGE Plus start sites Rep 3 from ENCODE/RIKEN\
parent wgEncodeRikenCageViewPlusSignal off\
shortLabel A549 cyto pA+ + 3\
subGroups view=PlusRawSignal cellType=t2A549 localization=cytosol rnaExtract=pAP rep=rep3 rank=rank1\
track wgEncodeRikenCageA549CytosolPapPlusRawRep3\
type bigWig 1.000000 433645.000000\
wgEncodeCshlShortRnaSeqA549NucleusCiptapContigs A549 nucl CIP C bed 6 A549 CIP-TAP nucleus small RNA-seq Contigs from ENCODE/CSHL 2 99 0 0 0 127 127 127 0 0 0 expression 1 longLabel A549 CIP-TAP nucleus small RNA-seq Contigs from ENCODE/CSHL\
parent wgEncodeCshlShortRnaSeqViewContigs off\
shortLabel A549 nucl CIP C\
subGroups view=Contigs rep=Pooled cellType=t2A549 localization=NUCLEUS protocol=CIPTAP rank=none\
track wgEncodeCshlShortRnaSeqA549NucleusCiptapContigs\
type bed 6\
wgEncodeUwDnaseAg09319RawRep1 AG09319 Sg 1 bigWig 1.000000 47177.000000 AG09319 DNaseI HS Raw Signal Rep 1 from ENCODE/UW 2 99 0 0 0 127 127 127 0 0 0 regulation 0 longLabel AG09319 DNaseI HS Raw Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwDnaseViewzRaw off\
shortLabel AG09319 Sg 1\
subGroups view=zRSig cellType=t3AG09319 rep=rep1 treatment=None\
track wgEncodeUwDnaseAg09319RawRep1\
type bigWig 1.000000 47177.000000\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep2LK59_CNhs13378_ctss_fwd AorticSmsToIL1b_06hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep2 (LK59)_CNhs13378_12759-136B5_forward 0 99 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12759-136B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep2%20%28LK59%29.CNhs13378.12759-136B5.hg19.ctss.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep2 (LK59)_CNhs13378_12759-136B5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12759-136B5 sequence_tech=hCAGE\
parent TSS_activity_read_counts off\
shortLabel AorticSmsToIL1b_06hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep2LK59_CNhs13378_ctss_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12759-136B5\
urlLabel FANTOM5 Details:\
AorticSmoothMuscleCellResponseToIL1b06hrBiolRep2LK59_CNhs13378_tpm_fwd AorticSmsToIL1b_06hrBr2+ bigWig Aortic smooth muscle cell response to IL1b, 06hr, biol_rep2 (LK59)_CNhs13378_12759-136B5_forward 1 99 255 0 0 255 127 127 0 0 0 http://fantom.gsc.riken.jp/5/sstar/FF:12759-136B5 regulation 0 bigDataUrl /gbdb/hg19/fantom5/Aortic%20smooth%20muscle%20cell%20response%20to%20IL1b%2c%2006hr%2c%20biol_rep2%20%28LK59%29.CNhs13378.12759-136B5.hg19.tpm.fwd.bw\
color 255,0,0\
longLabel Aortic smooth muscle cell response to IL1b, 06hr, biol_rep2 (LK59)_CNhs13378_12759-136B5_forward\
maxHeightPixels 100:8:8\
metadata ontology_id=12759-136B5 sequence_tech=hCAGE\
parent TSS_activity_TPM off\
shortLabel AorticSmsToIL1b_06hrBr2+\
subGroups sequenceTech=hCAGE category=AoSMC_response_to_IL1b strand=forward\
track AorticSmoothMuscleCellResponseToIL1b06hrBiolRep2LK59_CNhs13378_tpm_fwd\
type bigWig\
url http://fantom.gsc.riken.jp/5/sstar/FF:12759-136B5\
urlLabel FANTOM5 Details:\
wgEncodeUwTfbsBe2cCtcfStdPkRep2 BE2c CTCF Pk 2 narrowPeak BE2c CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW 3 99 0 0 0 127 127 127 0 0 0 regulation 1 longLabel BE2c CTCF TFBS ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwTfbsViewPeaks off\
shortLabel BE2c CTCF Pk 2\
subGroups view=Peaks factor=CTCF cellType=t3BE2C rep=rep2 treatment=aNone\
track wgEncodeUwTfbsBe2cCtcfStdPkRep2\
type narrowPeak\
wgEncodeUwRepliSeqBjWaveSignalRep1 BJ Ws 1 bigWig -5.426893 81.547684 BJ Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW 2 99 0 0 0 127 127 127 0 0 0 regulation 0 longLabel BJ Repli-seq Wavelet-smoothed Signal Rep 1 from ENCODE/UW\
origAssembly hg19\
parent wgEncodeUwRepliSeqViewWaveSignal off\
shortLabel BJ Ws 1\
subGroups view=v4WaveSignal cellType=t3BJ phase=zNONE rep=rep1\
track wgEncodeUwRepliSeqBjWaveSignalRep1\
type bigWig -5.426893 81.547684\
wgEncodeOpenChromDnaseEcc1Est10nm30mBaseOverlapSignal ECC-1 Estr 30m OS bigWig 0.000000 220.000000 ECC-1 Estradiol 10 nM 30 m DNaseI HS Overlap Signal from ENCODE/Duke 2 99 0 0 0 127 127 127 1 0 0 regulation 0 longLabel ECC-1 Estradiol 10 nM 30 m DNaseI HS Overlap Signal from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewSigBo off\
shortLabel ECC-1 Estr 30m OS\
subGroups view=SIGBO cellType=t3ECC1 treatment=EST10NM30M\
track wgEncodeOpenChromDnaseEcc1Est10nm30mBaseOverlapSignal\
type bigWig 0.000000 220.000000\
encTfChipPkENCFF833FTF GM12878 CTCF 1 on narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12878 from ENCODE 3 (ENCFF833FTF) 1 99 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12878 from ENCODE 3 (ENCFF833FTF)\
parent encTfChipPk off\
shortLabel GM12878 CTCF 1 on\
subGroups cellType=GM12878 factor=CTCF\
track encTfChipPkENCFF833FTF\
wgEncodeHaibTfbsGm12878Pax5n19Pcr1xPkRep1 GM78 PAX5 PCR1 1 broadPeak GM12878 PAX5-N19 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB 3 99 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 PAX5-N19 PCR1x ChIP-seq Peaks Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewPeaks off\
shortLabel GM78 PAX5 PCR1 1\
subGroups view=Peaks factor=PAX5N19 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Pax5n19Pcr1xPkRep1\
type broadPeak\
wgEncodeSydhTfbsGm12878Znf274StdPk GM78 Z274 Std narrowPeak GM12878 ZNF274 Standard ChIP-seq Peaks from ENCODE/SYDH 3 99 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel GM12878 ZNF274 Standard ChIP-seq Peaks from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewPeaks on\
shortLabel GM78 Z274 Std\
subGroups view=Peaks factor=ZNF274 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Znf274StdPk\
type narrowPeak\
wgEncodeAwgTfbsSydhH1hescChd2IggrabUniPk H1-hESC CHD2 narrowPeak H1-hESC TFBS Uniform Peaks of CHD2_(AB68301) from ENCODE/Stanford/Analysis 1 99 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of CHD2_(AB68301) from ENCODE/Stanford/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC CHD2\
subGroups tier=a10 cellType=a10H1HESC factor=CHD2 lab=Stanford\
track wgEncodeAwgTfbsSydhH1hescChd2IggrabUniPk\
wgEncodeUwDgfHmfSig HMF Sig bigWig 1.000000 77693.000000 HMF DNaseI DGF Per-base Signal from ENCODE/UW 2 99 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HMF DNaseI DGF Per-base Signal from ENCODE/UW\
parent wgEncodeUwDgfViewSignal off\
shortLabel HMF Sig\
subGroups view=Signal cellType=t3HMF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHmfSig\
type bigWig 1.000000 77693.000000\
wgEncodeUwAffyExonArrayHmvecdlyneoSimpleSignalRep1 HMVEC-dLy-Neo 1 broadPeak HMVEC-dLy-Neo Exon array Signal Rep 1 from ENCODE/UW 0 99 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dLy-Neo Exon array Signal Rep 1 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dLy-Neo 1\
subGroups cellType=t3HMVECDLYNEO rep=rep1 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdlyneoSimpleSignalRep1\
type broadPeak\
wgEncodeDukeAffyExonHsmmSimpleSignalRep3V2 HSMM 3 bigBed 6 + HSMM Exon array Signal Rep 3 from ENCODE/Duke 0 99 0 0 0 127 127 127 1 0 0 expression 1 longLabel HSMM Exon array Signal Rep 3 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HSMM 3\
subGroups cellType=t3HSMM treatment=zNONE rep=rep3\
track wgEncodeDukeAffyExonHsmmSimpleSignalRep3V2\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep3 HSMM_FSHD 3 bed 9 + HSMM FSHD Methyl RRBS Rep 3 from ENCODE/HudsonAlpha 1 99 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMM FSHD Methyl RRBS Rep 3 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMM_FSHD 3\
subGroups cellType=t3HSMMFSHD obtainedBy=DUKE treatment=zNone rep=rep3\
track wgEncodeHaibMethylRrbsHsmmfshdDukeSitesRep3\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdPkRep2 HUVE H3K4M3 Pk 2 narrowPeak HUVEC H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW 3 99 224 75 0 239 165 127 0 0 0 regulation 1 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Peaks 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewPeaks off\
shortLabel HUVE H3K4M3 Pk 2\
subGroups view=Peaks factor=H3K04ME3 cellType=t2HUVEC rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdPkRep2\
type narrowPeak\
wgEncodeGisRnaPetImr90CytosolPapAlnRep2 IMR9 cyto pA+ A 2 bam IMR90 cytosol polyA+ clone-free RNA PET Alignments Rep 2 from ENCODE/GIS 0 99 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 cytosol polyA+ clone-free RNA PET Alignments Rep 2 from ENCODE/GIS\
parent wgEncodeGisRnaPetViewAlignments off\
shortLabel IMR9 cyto pA+ A 2\
subGroups view=v3Alignments cellType=bIMR90 cloned=Free localization=cytosol rnaExtract=PAP rep=rep2 rank=rank2\
track wgEncodeGisRnaPetImr90CytosolPapAlnRep2\
type bam\
wgEncodeCshlLongRnaSeqK562CellLongnonpolyaPlusRawSigRep1 K562 cel pA- + 1 bigWig 1.000000 803002.000000 K562 whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL 2 99 46 0 184 150 127 219 0 0 0 expression 0 color 46,0,184\
longLabel K562 whole cell polyA- RNA-seq Plus signal Rep 1 from ENCODE/CSHL\
parent wgEncodeCshlLongRnaSeqViewPlusSig off\
shortLabel K562 cel pA- + 1\
subGroups view=PlusSignal cellType=t1K562 localization=CELL rnaExtract=PAM rep=rep1 rank=rank1\
track wgEncodeCshlLongRnaSeqK562CellLongnonpolyaPlusRawSigRep1\
type bigWig 1.000000 803002.000000\
wgEncodeBroadHistoneK562H2azStdPk K562 H2A.Z broadPeak K562 H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad 3 99 46 0 184 150 127 219 1 0 0 regulation 1 color 46,0,184\
longLabel K562 H2A.Z Histone Mods by ChIP-seq Peaks from ENCODE/Broad\
parent wgEncodeBroadHistoneViewPeaks off\
shortLabel K562 H2A.Z\
subGroups view=Peaks factor=H2AZ cellType=t1K562 treatment=zNONE\
track wgEncodeBroadHistoneK562H2azStdPk\
type broadPeak\
wgEncodeCaltechRnaSeqLhcnm2R2x75Il200SplicesRep1V2 LHCN 2x75 Sp 1 bam LHCN-M2 Myoblast 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech 0 99 0 0 0 127 127 127 0 0 0 expression 1 longLabel LHCN-M2 Myoblast 200 bp paired read RNA-seq Splices Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewSplices off\
shortLabel LHCN 2x75 Sp 1\
subGroups view=Splices cellType=t2LHCNM2 insertLength=il200 readType=a1R2x75 rep=rep1 treatment=aNone\
track wgEncodeCaltechRnaSeqLhcnm2R2x75Il200SplicesRep1V2\
type bam\
wgEncodeOpenChromChipMcf7Pol2SerumstvdBaseOverlapSignal MCF-7 Pol2 stv OS bigWig 0.000000 4637.000000 MCF-7 serum starved Pol2 TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA 2 99 0 0 0 127 127 127 1 0 0 regulation 0 longLabel MCF-7 serum starved Pol2 TFBS ChIP-seq Overlap Signal from ENCODE/OpenChrom-UTA\
parent wgEncodeOpenChromChipViewSigBo off\
shortLabel MCF-7 Pol2 stv OS\
subGroups view=SIGBO factor=POL2 cellType=t2MCF7 treatment=SERUMSTAVD\
track wgEncodeOpenChromChipMcf7Pol2SerumstvdBaseOverlapSignal\
type bigWig 0.000000 4637.000000\
pgNA19735 MXL NA19735 pgSnp MXL NA19735 (Complete Genomics) 0 99 0 0 0 127 127 127 0 0 0 varRep 1 longLabel MXL NA19735 (Complete Genomics)\
parent pgSnpCg\
shortLabel MXL NA19735\
subGroups view=C_CG id=CG_div_GS19735 type=SNP\
track pgNA19735\
wgEncodeAwgDnaseUwdukeNhekUniPk NHEK DNase narrowPeak NHEK DNaseI HS Uniform Peaks from ENCODE/Analysis 1 99 0 0 0 127 127 127 1 0 0 regulation 1 longLabel NHEK DNaseI HS Uniform Peaks from ENCODE/Analysis\
parent wgEncodeAwgDnaseUniform on\
shortLabel NHEK DNase\
subGroups tier=a30 cellType=NHEK\
track wgEncodeAwgDnaseUwdukeNhekUniPk\
wgEncodeOpenChromFairePanisletsBaseOverlapSignal PanIslet FAIRE OS bigWig 0.000000 984.000000 PanIslets FAIRE Overlap Signal from ENCODE/OpenChrom(UNC) 2 99 0 0 0 127 127 127 1 0 0 regulation 0 longLabel PanIslets FAIRE Overlap Signal from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewSigBo off\
shortLabel PanIslet FAIRE OS\
subGroups view=SIGBO cellType=t3PANISLETS treatment=AANONE\
track wgEncodeOpenChromFairePanisletsBaseOverlapSignal\
type bigWig 0.000000 984.000000\
pgSnp1kG 1000 Genomes March 2010 pgSnp Personal Genome Variants 0 100 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Personal Genome Variants\
parent pgSnp\
shortLabel 1000 Genomes March 2010\
track pgSnp1kG\
view B_1kG\
visibility hide\
tgpArchive 1000G Archive 1000 Genomes Archive 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This supertrack is a collection of tracks from the\
1000 Genomes Project showing\
paired-end accessible regions and integrated variant calls. More information about display\
conventions, methods, credits, and references can be found on each subtrack's description page.\
\
This track shows ~38,200,000 single nucleotide variants (SNVs),\
~3,900,000 short insertion/deletion variants (indels),\
and ~14,000 large deletions (also called structural variants, or SVs)\
discovered by the\
1000 Genomes Project\
through its\
Phase 1 sequencing of 1,092 genomes from 14 populations in Africa, Europe,\
East Asia and the Americas.
\
\
The variant genotypes have been phased by the 1000 Genomes Project\
(i.e., the two alleles of each diploid genotype have been assigned to two\
haplotypes,\
one inherited from each parent).\
This extra information enables a clustering of independent haplotypes\
by local similarity for display.\
\
\
Display Conventions
\
\
\
\
\
In "dense" mode, a vertical line is drawn at the position of each\
variant.\
In "pack" mode, since these variants have been phased, the\
display shows a clustering of haplotypes in the viewed range, sorted\
by similarity of alleles weighted by proximity to a central variant.\
The clustering view can highlight local patterns of linkage.
\
\
In the clustering display, each sample's phased diploid genotype is split\
into two independent haplotypes.\
Each haplotype is placed in a horizontal row of pixels; when the number of\
haplotypes exceeds the number of vertical pixels for the track, multiple\
haplotypes fall in the same pixel row and pixels are averaged across haplotypes.
\
\
Each variant is a vertical bar with white (invisible) representing the reference allele\
and black representing the non-reference allele(s).\
Tick marks are drawn at the top and bottom of each variant's vertical bar\
to make the bar more visible when most alleles are reference alleles.\
The vertical bar for the central variant used in clustering is outlined in purple.\
In order to avoid long compute times, the range of alleles used in clustering\
may be limited; alleles used in clustering have purple tick marks at the\
top and bottom.
\
\
The clustering tree is displayed to the left of the main image.\
It does not represent relatedness of individuals; it simply shows the arrangement\
of local haplotypes by similarity. When a rightmost branch is purple, it means\
that all haplotypes in that branch are identical, at least within the range of\
variants used in clustering.\
\
\
Methods
\
\
Single-nucleotide variants, short insertions/deletions, and larger deletions were called\
from alignments of 1,092 individuals' low-coverage genomes and high-coverage exomes.\
For each type of variant, the results of multiple variant-calling methods \
were merged and filtered in order to provide high-confidence variant calls.\
For more details, see:\
\
Phase 1 of the 1000 Genomes Project: \
1000 Genomes Project Consortium, Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker\
RE, Kang HM, Marth GT, McVean GA.\
\
An integrated map of genetic variation from 1,092 human genomes.\
Nature. 2012 Nov 1;491(7422):56-65.\
\
This track shows which genome regions are more or less accessible to next\
generation sequencing methods that use short, paired-end reads. It summarizes whole\
genome sequencing data from Phase 3 of the\
1000 Genomes Project and shows two\
levels of stringency: "pilot" stringency regions (see below) cover 94.5%\
of non-N bases in the genome (excluding alternate haplotype sequences and unplaced contigs;\
95.9% on autosomes)\
and "strict" regions cover 75.5% (76.9% on autosomes). Each site which meets\
"strict" criteria also passes the "pilot" criteria.\
\
\
\
This track does not show a mask of regions in which variant calls can\
or cannot be made.\
Some 1000 Genomes Phase 3 variant calls are in regions that do not meet the\
"strict" criteria.\
Phase 3 variant calls are filtered using various tools such as the\
Variant Quality Score Recalibrator (VQSR)\
method (implemented in the\
Genome Analysis Toolkit (GATK))\
without regard to the thresholds applied here.\
VQSR and similar tools assess the evidence for variation at sites where a variant is called,\
but say nothing about the remaining sites.\
The 1000 Genomes Project Phase 3 variant calls combine information from low coverage sequencing,\
exome sequencing and array genotyping for improved sensitivity and specificity.\
The coverage masks are based on low coverage sequencing only.\
\
\
\
These regions will be useful for (a) comparing accessibility using current technologies\
to accessibility in the 1000 Genomes Pilot Project, and (b) population genetic\
analyses (such as estimates of mutation rate) that must focus on genomic regions\
with very low false positive and false negative rates.\
\
\
Methods
\
\
The total depth of mapped sequence reads, the average mapping quality score\
and the fraction of reads with mapping quality zero (meaning that this read maps\
equally well to more than one location in the genome) are tabulated from\
1000 Genomes Project Phase 3 .bam files.\
This combines whole genome sequence data from 2,504 individuals,\
giving a genome wide average depth of coverage of 17,920 reads.\
Both "pilot" and "strict" tracks are .bed file conversions of the\
"pass" regions from\
.fasta mask files.\
See the\
README file in that directory and\
Supplementary Information (section 9.2)\
of 1000 Genomes Project Consortium, et al. (2015) for more details.\
\
\
\
The "pilot" criteria require a depth of coverage between 8,960 and 35,840 inclusive\
(between one-half and twice the average depth) and that no more than 20% of\
covering reads have mapping quality zero. These are equivalent to the criteria\
used for analyses in the 1000 Genomes Pilot paper (2010). The "strict" criteria\
require a depth of coverage between 8,960 and 26,880 inclusive, no more than 0.1%\
of reads with mapping quality zero, and an average mapping quality of 56 or greater.\
This definition is quite stringent and focuses on the most unique regions of the\
genome.\
Since approximately\
one-half of 1000 Genomes Project individuals are males, the depth of coverage\
is generally lower on the X chromosome. Coverage thresholds on the X chromosome were\
adjusted by a factor of 3/4 and on the Y chromosome by a factor of 1/2.\
\
\
Data Access
\
\
\
The raw data can be explored interactively with the \
Table Browser, or the\
Data Integrator.\
For automated analysis, the genome annotation is stored in a bigBed file that can be downloaded from the\
download server.\
The underlying data files for this track are called\
20141020.pilot_mask.whole_genome.bb and 20141020.strict_mask.whole_genome.bb. \
Individual regions or the whole genome annotation can be obtained using our tool bigBedToBed \
which can be compiled from the source code or downloaded as a precompiled binary\
for your system. Instructions for downloading source code and binaries can be found\
here. \
The tool can also be used to obtain only features within a given range, for example: \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/1000Genomes/phase3/20141020.strict_mask.whole_genome.bb -chrom=chr6 -start=0 -end=1000000 stdout \
\
Please refer to our mailing list archives\
for questions, or our Data Access FAQ for more information. \
\
\
Credits
\
\
Thank you to\
Mary Kate Wing at the\
University of Michigan Center for Statistical Genetics\
for providing the track data files.\
Thank you to Tom Blackwell and Mary Kate Wing at UM for editing the description and methods.\
\
1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO,\
Marchini JL, McCarthy S, McVean GA et al.\
\
A global reference for human genetic variation.\
Nature. 2015 Oct 1;526(7571):68-74.\
PMID: 26432245\
\
This track shows 84.7 million single nucleotide polymorphisms (SNPs),\
3.6 million short insertions/deletions (indels), and 60,000 structural variants\
discovered by the\
1000 Genomes Project\
through its\
Phase 3 sequencing of 2,504 genomes from 16 populations worldwide.
\
\
The variant genotypes have been phased by the 1000 Genomes Project\
(i.e., the two alleles of each diploid genotype have been assigned to two\
haplotypes,\
one inherited from each parent).\
This extra information enables a clustering of independent haplotypes\
by local similarity for display.\
\
\
Display Conventions
\
\
\
\
\
In "dense" mode, a vertical line is drawn at the position of each\
variant.\
In "pack" mode, since these variants have been phased, the\
display shows a clustering of haplotypes in the viewed range, sorted\
by similarity of alleles weighted by proximity to a central variant.\
The clustering view can highlight local patterns of linkage.
\
\
In the clustering display, each sample's phased diploid genotype is split\
into two independent haplotypes.\
Each haplotype is placed in a horizontal row of pixels; when the number of\
haplotypes exceeds the number of vertical pixels for the track, multiple\
haplotypes fall in the same pixel row and pixels are averaged across haplotypes.
\
\
Each variant is a vertical bar with white (invisible) representing the reference allele\
and black representing the non-reference allele(s).\
Tick marks are drawn at the top and bottom of each variant's vertical bar\
to make the bar more visible when most alleles are reference alleles.\
The vertical bar for the central variant used in clustering is outlined in purple.\
In order to avoid long compute times, the range of alleles used in clustering\
may be limited; alleles used in clustering have purple tick marks at the\
top and bottom.
\
\
The clustering tree is displayed to the left of the main image.\
It does not represent relatedness of individuals; it simply shows the arrangement\
of local haplotypes by similarity. When a rightmost branch is purple, it means\
that all haplotypes in that branch are identical, at least within the range of\
variants used in clustering.\
\
\
Methods
\
\
The genomes of 2,504 individuals were sequenced using both whole-genome sequencing\
(mean depth = 7.4x) and targeted exome sequencing (mean depth = 65.7x).\
\
Quoting the Phase 3 publication (1000 Genomes Project Consortium, 2015):\
\
\
In contrast to earlier phases of the project, we expanded analysis\
beyond bi-allelic events to include multi-allelic SNPs, indels, and a\
diverse set of structural variants (SVs). An overview of the sample\
collection, data generation, data processing, and analysis is given in\
Extended Data Fig. 1. Variant discovery used an ensemble of 24\
sequence analysis tools (Supplementary Table 2), and machine-learning\
classifiers to separate high-quality variants from potential false\
positives, balancing sensitivity and specificity. Construction of\
haplotypes started with estimation of long-range phased haplotypes\
using array genotypes for project participants and, where available,\
their first degree relatives; continued with the addition of high\
confidence bi-allelic variants that were analysed jointly to improve\
these haplotypes; and concluded with the placement of multi-allelic\
and structural variants onto the haplotype scaffold one at a time.\
\
1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO,\
Marchini JL, McCarthy S, McVean GA et al.\
\
A global reference for human genetic variation.\
Nature. 2015 Oct 1;526(7571):68-74.\
PMID: 26432245\
\
This track shows regions of the human genome with a strong signal for depletion\
of Neandertal-derived alleles (regions from the \
Sel Swp Scan \
(S) track with S scores in the lowest 5%),\
which may indicate an episode of positive selection in early\
humans.
\
\
Display Conventions and Configuration
\
\
Grayscale shading is used as a rough indicator of the strength of the\
score; the darker the item, the stronger its negative score. The\
strongest negative score (-8.7011) is shaded black, and the shading\
lightens from dark to light gray as the negative score weakens (weakest\
score is -4.3202).\
\
\
Methods
\
\
Green et al. identified single-base sites that are\
polymorphic among five modern human genomes of diverse ancestry\
(in the \
Modern Human \
Seq track) plus the human reference\
genome, and determined ancestral or derived state of each\
single nucleotide polymorphism (SNP) by comparison with the chimpanzee\
genome. The SNPs are displayed in the \
S SNPs track.\
The human allele states were used to estimate an expected number\
of derived alleles in Neandertal in the 100,000-base window around \
each SNP, and a measure called the S score was developed, displayed in the \
Sel Swp Scan \
(S) track, to compare the observed\
number of Neandertal alleles in each window to the expected number. \
An S score significantly less than zero indicates a reduction of \
Neandertal-derived alleles (or an increase of human-derived alleles not found in\
Neandertal), consistent with the scenario of positive selection in\
the human lineage since divergence from Neandertals.\
\
\
Genomic regions of 25,000 or more bases in which all polymorphic sites\
were at least 2 standard deviations below the expected value were\
identified, and S was recomputed on each such region. Regions with S\
scores in the lowest 5% (strongest negative scores) were prioritized\
for further analysis as described in Green et al..\
\
\
Credits
\
\
This track was produced at UCSC using data generated by\
Ed Green.\
\
\
References
\
\
Green RE, Krause J, Briggs AW, Maricic T, Stenzel U, Kircher M, Patterson N, Li H, Zhai W, Fritz MH\
et al.\
\
A draft sequence of the Neandertal genome.\
Science. 2010 May 7;328(5979):710-22.\
PMID: 20448178\
Description\
\
AbSplice is a method that predicts aberrant splicing across human tissues, as described in Wagner, \
Çelik et al., 2023. This track displays precomputed AbSplice scores for all possible\
single-nucleotide variants genome-wide. The scores represent the probability that a given variant\
causes aberrant splicing in a given tissue.\
AbSplice scores\
can be computed from VCF files and are based on quantitative tissue-specific splice site annotations\
(SpliceMaps).\
While SpliceMaps can be generated for any tissue of interest from a cohort of RNA-seq samples, this \
track includes 49 tissues available from the \
Genotype-Tissue\
Expression (GTEx) dataset. \
\
\
Display Conventions
\
\
The AbSplice score is a probability estimate of how likely aberrant splicing of some sort takes \
place in a given tissue. The authors suggest three cutoffs which are represented by color in the track.\
\
\
\
High (red) - \
An AbSplice score over 0.2 indicates a high likelihood of aberrant splicing in at least one tissue.
\
Medium (orange) - \
A score between 0.05 and 0.2 indicates a medium likelihood.
\
Low (blue) - \
A score between 0.01 and 0.05 indicates a low likelihood.
\
Scores below 0.01 are not displayed.
\
\
\
Mouseover on items shows the gene name, maximum score, and tissues that had this score. Clicking on\
any item brings up a table with scores for all 49 GTEX tissues.\
Precomputed AbSplice-DNA scores in all 49 GTEx tissues are available at\
\
Zenodo. \
\
Methods
\
\
Data was converted from the files (AbSplice_DNA_ hg19 _snvs_high_scores.zip) provided by the authors\
at zenodo.org. Files in the\
score_cutoff=0.01 directory were concatenated. To convert the data to bigBed format, scores and\
their tissues were selected from the AbSplice_DNA fields and maximum scores, and then calculated\
using a custom Python script, which can be found in the\
\
makeDoc from our GitHub repository.
\
\
Credits
\
\
Thanks to Nils Wagner for helpful comments and suggestions.
\
This track shows AceView gene models constructed from\
cDNA and genomic evidence by Danielle and Jean Thierry-Mieg\
using the Acembly program.
\
\
\
AceView is the only database that defines the genes\
genome-wide by using only, but exhaustively, the public experimental\
cDNA sequences from the same species. The analysis relies on the\
quality of the genome sequence and exploits sophisticated cDNA-to-genome \
co-alignment algorithms to provide a comprehensive and\
non-redundant representation of the GenBank, dbEST, GSS, Trace and\
RefSeq cDNA sequences. In a way, the AceView transcripts represent a\
fully annotated non-redundant ‘nr’ view of the public\
RNAs, minus cloning artefacts, contaminations and bad quality\
sequences. AceView transcripts represent a 10 times compaction\
relative to the raw data, with minimal loss of sequence\
information.
\
\
\
87% of the public RNA sequences are coalesced into AceView alternative\
transcripts and genes, thereby identifying close to twice as many main\
genes as there are "known genes" in both human and\
mouse. 18% to 25% of the spliced genes appear non-coding, in mouse and\
human respectively. Alternative transcripts are prominent in both\
species. The typical human gene produces on average eight distinct\
alternatively spliced forms from three promoters and with three\
non-overlapping terminal exons. It has on average three cassette exons\
and four internal donor or acceptor sites. The AceView site further\
proposes a thorough biological annotation of the reconstructed genes,\
including association to diseases and tissue specificity of the\
alternative transcripts.
\
\
AceView combines respect for the experimental data with extensive\
quality control. Evaluated in the ENCODE regions, AceView transcripts\
are close to indistinguishable from the manually curated Gencode\
reference genes (see Thierry-Mieg, 2006, or compare the two tracks in the \
Genome Browser), but over the entire genome the number of transcripts exceeds\
Havana/Vega by a factor of three and RefSeq by a factor of six.
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for \
gene \
tracks. Gene models that fall into the "main" class\
are displayed in purple; "putative" \
genes are displayed in pink.
\
\
The main genes include at least one transcript which is spliced or\
putatively protein coding. Spliced genes contain at least one\
well-defined standard intron, i.e., an intron with a GT-AG or GC-AG\
boundary, supported by at least one clone matching exactly, with no\
ambiguous bases, 8 bases of the genome on each side of the intron.
\
\
The putative genes have no standard intron and do not encode good\
proteins, yet are supported by more than six cDNA clones.
\
\
\
The track description page offers the following filter and configuration\
options:\
\
Gene Class filter: Select the main or putative\
option to filter the display. \
Color track by codons: Select the genomic codons option\
to color and label each codon in a zoomed-in display to facilitate validation \
and comparison to gene predictions. Click the \
Codon coloring help link \
on the track description page for more information about this feature.\
\
\
\
Methods
\
The millions of cDNA sequences available from the public databases\
(GenBank, dbEST, GSS, Traces, etc.) are aligned cooperatively on the\
genome sequence, taking care to keep the paired 5' and 3' reads from\
single clones associated in the same transcript. \
Useful information about tissue, stage, publications, isolation\
procedure and so on is gathered.
\
\
AceView alignments on the genome use knowledge on sequencing errors\
gained from analyzing sequencing traces and cooperative\
refinements. They are usually obtained over the entire length of the\
EST or mRNA, (average 98.8% aligned, 0.2% mismatches in mRNAs or 95.5%\
aligned, 1.4% mismatches in ESTs).
\
\
Multiple alignments are evaluated and the sequences are stringently\
kept only in their best position genome-wide. Less than 1% of the\
mRNAs and less than 2% of the ESTs will ultimately be aligned in more\
than one gene, usually in the ~1% closely repeated genes.
\
\
The cDNA sequences are then processed and cleaned: the vectors and\
polyA are clipped, the reads submitted on the wrong strand are\
flipped, and the small insertion or deletion polymorphisms are\
identified.
\
\
Eventual cDNA clone rearrangements or anomalous alignments are\
flagged and filtered (akin to manually) so as not to lose unique\
valuable information while avoiding pollution of the database with\
poorly supported anomalous data.
\
\
Unfortunately, cDNA libraries are still far from saturation, so\
after 20% of the suspicious entries have been removed, a single good-quality\
cDNA sequence, aligned with standard introns on the genome, is\
considered sufficient evidence for a given mRNA structure. That is\
because cDNA sequences are difficult to obtain, but they remain the\
cleanest and most reliable information to best define the molecular\
genes. Unspliced non-coding genes are however reported (in the\
putative class) only if they are supported by six or more accessions. Others \
belong to what is termed ‘the cloud’ (not displayed on\
the UCSC Genome Browser).
\
\
The cDNA sequences are clustered into a minimal number of\
alternative transcript variants, preferring partial transcripts to\
artificially extended ones. Sequences are concatenated by simple\
contact, but the combinatorics are voided by allowing each cDNA\
accession to contribute to a single alternative variant, preferably\
one where it merges silently without bringing any new sequence\
information. As a result, for instance, all shorter reads compatible\
with a full-length mRNA will be absorbed in that transcript and will not \
be available to allow for extensions on other incompatible\
transcripts.
\
\
About 70% of the variants, clearly identified on the Acembly site, have\
their entire coding region supported by a single cDNA; the others may\
be illicit concatenations that could be split when more data become\
available.
\
\
For each transcript, the consensus sequence of the cDNAs most\
compatible to the genome sequence is generated. Single base insertion,\
deletion, transition or transversion is shown graphically in the mRNA\
view, where frequent SNPs become evident.
\
\
The main sequence of the transcript used in the annotation is that\
of the footprint of the transcript on the genome, which is of better\
quality than the mRNAs: this procedure corrects up to 2% sequencing\
errors.
\
\
Putative protein-coding regions are predicted from the mRNA\
sequence and annotated using BlastP, PFAM, Psort2, and comparison to\
AceView proteins from other species. Best proteins are scored (see the\
FAQ on the Acembly site) and transcripts are putatively proposed to be \
protein-coding or non-coding.
\
\
Expression, cDNA support, tissue specificity, sequences of\
alternative transcripts, introns and exons, alternative promoters,\
alternative exons and alternative polyadenylation sites are evaluated\
and annotated on the Acembly web site.
\
\
The reconstructed alternative transcripts are then grouped into\
genes if they share at least one exact intron boundary or if they have\
substantial sequence overlap.
\
\
Coding and non-coding genes are defined, and genes in antisense are\
flagged.
\
\
AceView genes are matched molecularly to Entrez genes and named\
according to the official nomenclature or the Entrez Gene\
nomenclature. For novel genes not in Entrez, AceView creates new gene\
names that are maintained from release to release until the genes receive\
an official or Entrez gene name.
\
\
Each gene is annotated in depth, with the intention of AceView serving \
as a one-stop knowledgebase for systems biology. Selected functional\
annotations are gathered from various sources, including expression\
data, protein interactions and GO annotations. In particular, possible\
disease associations are extracted directly from PubMed, in addition\
to OMIM and GAD, and the users can help refine those annotations.
\
\
Finally, lists of the most closely related genes by function,\
pathway, protein complex, GO annotation, disease, cellular\
localization or all criteria taken together are proposed, to\
stimulate research and development.
\
\
Click the "AceView Gene Summary" on an individual transcript's\
details page to access the gene on the NCBI AceView website.
\
This supertrack is a collection of Affymetrix tracks showing the location of the consensus and\
exemplar sequences used for the selection of probes on the Affymetrix chips.\
\
Credits
\
\
Thanks to\
Affymetrix for the data underlying these tracks.\
\
This track shows alignments of alternate locus (also known as "alternate haplotype")\
reference sequences to main chromosome sequences in the reference genome assembly.\
Some loci in the genome are highly variable, with sets of variants that tend\
to segregate into distinct haplotypes.\
Only one haplotype can be included in a reference assembly chromosome sequence.\
Instead of providing a separate complete chromosome sequence for each haplotype,\
which could cause confusion with divergent chromosome coordinates and\
ambiguity about which sequence is the official reference, the\
Genome Reference Consortium\
(GRC) adds alternate locus sequences, ranging from tens of thousands of bases\
up to low millions of bases in size, to represent the distinct haplotypes. \
\
The SNP Array 6.0 includes more than 906,600 single nucleotide polymorphisms (SNPs) \
and more than 946,000 probes for the detection of copy number variation. \
The SNPs include the 482,000 SNPs from the 5.0 Array (unbiased selection).\
In addition, 424,000 new SNPs were chosen in the following areas:\
\
Tag SNPs
\
SNPs from chromosomes X and Y
\
Mitochondrial SNPs
\
New SNPs added to dbSNP
\
SNPs in recombination hotspots
\
\
\
The structural variation copy number (SV) probes include 202,000 probes \
targeting 5,677 known CNV regions\
from the Toronto Database of Genomic Variants. The additional 744,000 probes \
are evenly spaced throughout the genome.\
\
\
Affymetrix Genome-Wide Human SNP Array 5.0
\
The SNP Array 5.0 is a single microarray featuring all single nucleotide \
polymorphisms (SNPs) from the original two-chip Mapping 500K Array Set, as \
well as 420,000 additional non-polymorphic probes that can measure other \
genetic differences, such as copy number variation.\
\
Affymetrix 500K (250K Nsp and 250K Sty)
\
This annotation displays the SNPs available for genotyping with the \
GeneChip Human Mapping 500K Array Set from Affymetrix. It is comprised of\
two arrays: Nsp and Sty, which contain approximately 262,000 and 238,000 SNPs,\
respectively.\
\
Affymetrix CytoScan HD
\
The CytoScan High-Density (HD) Array provides whole-genome coverage with \
enriched coverage of all constitutional and cancer-related genes on a \
single array. The complete CytoScan array includes:\
\
\
\
\
\
\
Genome build
\
\
hg19
\
\
\
\
Total number of copy-number markers
\
\
2,696,550
\
\
\
\
Total number of non-polymorphic markers
\
\
1,953,246
\
\
\
\
Number of SNP markers
\
\
743,304
\
\
\
\
SNP markers with >99% genotype accuracy
\
\
749,157
\
\
\
\
Autosomal markers
\
\
2,491,915
\
\
\
\
Pseudoautosomal markers
\
\
4,624
\
\
\
\
Intragenic markers
\
\
1,410,535
\
\
\
\
Intergenic markers
\
\
1,286,015
\
\
\
\
\
\
\
Probes are colored \
green for CNV probesets and\
purple for SNP probesets. \
Some SNP probesets are also considered informative for CNV detection.\
\
\
Agilent Arrays
\
\
Non-SNP subtracks are colored in alternating shades of\
green and\
orange\
to highlight track boundaries. SNP subtracks\
are colored blue with SNP probes colored\
dark blue and CGH probes\
colored\
light blue.\
SurePrint G3 Human High-Resolution Microarray 1x1M
\
\
023642
\
\
1
\
\
989,214
\
\
2.6 kb
\
\
No (evenly tiled)
\
\
0
\
\
\
\
SurePrint G3 Human CGH+SNP Microarray 2x400K
\
\
028081
\
\
2
\
\
411,434
\
\
7 kb
\
\
Yes
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH Microarray 2x400K
\
\
021850
\
\
2
\
\
415,914
\
\
5.3 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint G3 Human Cancer CGH+SNP Microarray 4x180K
\
\
030587
\
\
4
\
\
172,595
\
\
25 kb
\
\
Yes (cancer genes)
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH+SNP Microarray 4x180K
\
\
029830
\
\
4
\
\
172,595
\
\
25 kb
\
\
No (ISCA regions)
\
\
65,000
\
\
\
\
SurePrint G3 Human CGH Microarray 4x180K
\
\
022060
\
\
4
\
\
174,675
\
\
13 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint G3 Human CGH Microarray 8x60K
\
\
021924
\
\
8
\
\
59,175
\
\
41 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 1x244K
\
\
014693
\
\
1
\
\
238,331
\
\
8.9 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 2x105K
\
\
014698
\
\
2
\
\
100,034
\
\
22 kb
\
\
Yes
\
\
0
\
\
\
\
SurePrint HD Human CGH Microarray 4x44K
\
\
014950
\
\
4
\
\
43,143
\
\
43 kb
\
\
Yes
\
\
0
\
\
\
\
GenetiSure Cyto CGH+SNP 4x180K
\
\
085591
\
\
\
\
\
\
\
\
\
\
\
\
\
\
GenetiSure Cyto CGH 4x180K
\
\
085589
\
\
\
\
\
\
\
\
\
\
\
\
\
\
GenetiSure Cyto CGH 8x60k
\
\
085590
\
\
\
\
\
\
\
\
\
\
\
\
\
\
\
Illumina Arrays
\
\
Illumina HumanHap650Y
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap650Y Genotyping BeadChip. The HumanHap650Y contains over 650,000 markers,\
extending the HumanHap550 by adding 100,000 additional Yoruba-specific tag\
SNPs. On average, there is 1 SNP every 5.3 kb, 6.2 kb and 5.4 kb across\
the genome in the CEU, CHB+JPT and YRI populations, respectively.\
The HumanHap650Y was derived from release 21 of the \
\
International HapMap Project.\
\
Illumina HumanHap550
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap550 Genotyping BeadChip. The HumanHap550 contains over 550,000 markers,\
the majority of which are tag SNPs \
derived from release 20 of the \
\
International HapMap Project. In addition,\
approximately 7800 non-synonymous SNPs, a higher density of tag SNPs in\
the MHC region, over 150 mitochondrial SNPs and over 4000\
SNPs from regions with copy number polymorphism were included. \
In the CEU population, an r-squared threshold of 0.8 was used\
for common SNPs in genes, within 10 kb of genes or in evolutionarily\
conserved regions. For all other regions, an r-squared threshold of 0.7 was used.\
On average, there is 1 SNP every 5.5 kb, 6.5 kb and 6.2 kb across the genome in \
the CEU, CHB+JPT and YRI populations, respectively.\
\
Illumina HumanHap300
\
This annotation displays the SNPs available for genotyping with Illumina's\
HumanHap300 Genotyping BeadChip. The HumanHap300 contains over 317,000 tagSNP markers\
derived from Phase I of the \
\
International HapMap Project. In addition,\
approximately 7300 non-synonymous SNPs and a higher density of tag SNPs in\
the MHC region were included. On average, there is 1 SNP every 9 kb across\
the genome and median spacing is 5 kb.\
\
Illumina Human1M-Duo
\
This annotation displays the SNPs available for genotyping with Illumina's\
Human1M-Duo Genotyping BeadChip. The Human1M-Duo contains more than 1,100,000 tagSNP markers\
and a set of ~60,000 additional CNV-targeted markers. \
The median spacing is 1.5kb (mean - 2.4 kb).\
\
Illumina HumanOmni1-Quad v1
\
The HumanOmni1-Quad BeadChip consists of 1,140,419 markers in a 4-sample\
format. The whole-genome content provides high\
genomic coverage rates of 93%, 92%, and 76% at r2 > 0.8 for the CEU,\
CHB+JPT, and YRI populations, respectively. High density markers with a\
median spacing of 1.2 kb ensure the highest level of resolution for CNV\
and breakpoint identification.\
\
The content has been derived from the 1,000 Genomes Project,\
all three HapMap phases, and recently published studies, including \
new coding variants identified by the 1000 Genomes Project and\
markers chosen in high-value regions of the genome: ABO blood\
typing SNPs, cSNPs, disease-associated SNPs, eSNPs, SNPs in mRNA splice\
sites, ADME genes, AIMs, HLA complexes, indels, introns, MHC regions,\
miRNA binding sites, mitochondrial DNA, PAR, promoter regions, and\
Y-chromosome.\
\
Illumina Human660W-Quad v1
\
The Human660W-Quad BeadChip consists of 657,366 markers in a 4-sample\
format. The Human660W-Quad BeadChip provides 87%, 85%, and 56% coverage\
of CEU, CHB+JPT, and YRI populations at r2 > 0.8. For \
CNV and cytogenetic analysis, the dense backbone content is combined\
with an additional ~100,000 markers that target observed common CNVs.\
\
HumanCytoSNP-12 v2.1
\
\
The 301,232 markers on the HumanCytoSNP-12 represents a complete 12-sample panel of \
genome-wide SNPs for a uniform backbone and additional markers targeting all regions of \
known cytogenetic importance. Backbone markers provide genome-wide marker spacing of 10kb. \
This is supplemented with dense coverage (at 6 kb spacing average) of ~250 genomic regions \
commonly studied in cytogenetics labs and targeted coverage in ~400 additional genes, \
subtelomeric regions, pericentromeric regions, and sex chromosomes. \
An efficiency-optimized tagging strategy provides a panel for GWAS \
(70% coverage in CEU at r2 > 0.8) in the highest throughput and most cost-effective \
whole-genome DNA Analysis BeadChip.\
\
Illumina Global Diversity Array
\
\
The\
Global Diversity Array-8 v1.0 BeadChip includes coverage of the ACMG 59-gene\
clinical research variants and multi-ethnic, genome-wide content. The GDA is the commercial version\
of the array chosen by the All of Us Research\
Program and is designed to capture a wider range of the world's populationsthan traditional\
microarrays.
\
\
Illumina 450k and 850k Methylation Arrays
\
\
With the Infinium MethylationEPIC BeadChip Kit, researchers can interrogate over 850,000\
methylation sites quantitatively across the genome at single-nucleotide resolution. Multiple\
samples, including FFPE, can be analyzed in parallel to deliver high-throughput power while\
minimizing the cost per sample. These tracks show positions being measured on the Illumina 450k and\
850k (EPIC) microarray tracks. More information about the arrays can be found on the\
Infinium MethylationEPIC Kit website.\
\
Illumina CytoSNP 850K Probe Array
\
\
The Infinium CytoSNP-850K v1.2 BeadChip provides comprehensive coverage of\
cytogenetically relevant genes on a proven platform, helping researchers find valuable information\
that may be missed by other technologies. It contains approximately 850,000 empirically selected\
single nucleotide polymorphisms (SNPs) spanning the entire genome with enriched coverage for 3,262\
genes of known cytogenetics relevance in both constitutional and cancer applications. Items in this\
track are colored according to their strand orientation. Blue indicates\
alignment to the negative strand, and red indicates alignment to the\
positive strand.\
\
\
\
Methods
\
\
Position, strand, and polymorphism data were obtained from Affymetrix and \
supplemented with links to corresponding dbSNP rsIDs based on a positional\
lookup into \
\
dbSNP. The Affy 6.0 Array is based on dbSNP build 127; the Affy 5.0 Array \
is based on dbSNP build 126. The Affy 500K Array is based on dbSNP build 125 \
and was translated from hg17 by UCSC using rsID lookup. \
In fewer than 2% of the cases, a dbSNP rsID was\
not present in dbSNP at the Affymetrix array position. \
Reference allele information was retrieved from the UCSC database based on dbSNP position\
and strand data. \
\
\
Illumina data were supplied as rsIDs and position based on dbSNP build 126. \
Strand, polymorphism and reference allele information was retrieved from the UCSC database \
based on rsID and position.\
The Illumina arrays are comprised of probes for 4 of the possible single-base substitutions:\
A/C, A/G, C/T and G/T. A/T and C/G probes will be available in future arrays.\
\
\
For Illumina Human1M-Duo, the position, strand, polymorphism and reference allele information was \
retrieved from the snp129 table of UCSC database if the marker ID can be found in dbSNP 129, \
otherwise the information is retrieved from the data provided by Illumina.\
\
\
For Illumina HumanOmni1-Quad, Human660W-Quad, and HumanCytoSNP-12, \
the position, strand, polymorphism and reference allele information was \
retrieved from the snp130 table of UCSC database if the marker ID can be found in dbSNP 130, \
otherwise the information is retrieved from the data provided by Illumina.\
\
\
Agilent's oligonucleotide CGH (Comparative Genomic Hybridization) platform enables the \
study of genome-wide DNA copy number changes at a high resolution. The CGH probes on Agilent \
aCGH microarrays are 60-mer oligonucleotides synthesized in situ using Agilent's inkjet \
SurePrint technology. The probes represented on the Agilent CGH microarrays have been \
selected using algorithms developed specifically for the CGH application, assuring optimal \
performance of these probes in detecting DNA copy number changes. \
\
\
The Agilent SurePrint G3 CGH+SNP microarrays are designed for high quality human DNA \
copy-number profiling combined with the simultaneous detection of copy-neutral \
aberrations, such as lack or loss of heterozygosity (LOH) and uniparental disomy (UPD). \
Identification of LOH/UPD is enabled by the presence of a set of SNP probes on the CGH+SNP \
microarrays resulting in ~5-10 Mb resolution for copy neutral LOH/UPD detection across the \
entire genome.\
\
\
The Agilent catalog CGH and CGH+SNP microarrays are printed on 1 in. x 3 in. glass slides and are \
available in several formats. The human catalog SurePrint G3 microarrays formats are the 1x1M \
(gene-biased or evenly tiled), 2x400K (CGH-only or CGH+SNP), 4x180K (CGH-only or CGH+SNP), \
and 8x60K. The legacy human catalog SurePrint HD microarrays are the 1x244K, 2x105K, and \
4x44K. \
\
\
Non-SNP subtracks are colored in alternating shades of \
green and orange to highlight track boundaries. SNP subtracks \
are colored blue with SNP probes colored dark blue and \
CGH probes colored light blue. The track consists of the \
following subtracks:\
\
\
The Illumina 450k track was created using a custom track by Brooke Rhead (\
brhead@gmail.\
com) and then converted into a bigBed.\
\
The Illumina CytoSNP-850K track was created by downloading the\
CytoSNP-850K v1.2 Manifest File (CSV Format) file and then converted into a\
bigBed file using the hg19 coordinates.\
\
Thanks to Shane Giles, Peter Webb, and Anniek De Witte from Agilent\
Technologies, Venu Valmeekam from Affymetrix, and Luana Galver and\
Jennifer L. Stone from Illumina for\
providing these data.\
This track shows the finished assembly of the human genome.\
This assembly merges contigs from overlapping drafts and\
finished clones into longer sequence contigs. The sequence\
contigs are ordered and oriented when possible by mRNA, EST,\
paired plasmid reads (from the SNP Consortium) and BAC end\
sequence pairs.
\
In dense mode, this track depicts the path through the draft and \
finished clones (aka the golden path) used to create the assembled sequence. \
Clone boundaries are distinguished by the use of alternating gold and brown \
coloration. Where gaps\
exist in the path, spaces are shown between the gold and brown\
blocks. If the relative order and orientation of the contigs\
between the two blocks is known, a line is drawn to bridge the\
blocks.
\
\
Clone Type Key:\
\
F - Finished (HTGS phase 3)\
O - Other sequence (typically means no HTG keyword)\
\
map 1 altColor 230,170,40\
color 150,100,30\
group map\
longLabel Assembly from Fragments\
shortLabel Assembly\
track gold\
type bed 3 +\
visibility hide\
augustusGene AUGUSTUS genePred AUGUSTUS ab initio gene predictions v3.1 3 100 12 105 0 133 180 127 0 0 0
Description
\
\
\
This track shows ab initio predictions from the program\
AUGUSTUS (version 3.1).\
The predictions are based on the genome sequence alone.\
\
\
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Methods
\
\
\
Statistical signal models were built for splice sites, branch-point\
patterns, translation start sites, and the poly-A signal.\
Furthermore, models were built for the sequence content of\
protein-coding and non-coding regions as well as for the length distributions\
of different exon and intron types. Detailed descriptions of most of these different models\
can be found in Mario Stanke's\
dissertation.\
This track shows the most likely gene structure according to a\
Semi-Markov Conditional Random Field model.\
Alternative splicing transcripts were obtained with\
a sampling algorithm (--alternatives-from-sampling=true --sample=100 --minexonintronprob=0.2\
--minmeanexonintronprob=0.5 --maxtracks=3 --temperature=2).\
\
\
\
The different models used by Augustus were trained on a number of different species-specific\
gene sets, which included 1000-2000 training gene structures. The --species option allows\
one to choose the species used for training the models. Different training species were used\
for the --species option when generating these predictions for different groups of\
assemblies.\
\
\
\
\ \
Assembly Group
\
\ \
Training Species
\
\
\
\
\
\ \
Fish
\
\ \
zebrafish\
\
\
\
\
\ \
Birds
\
\ \
chicken\
\
\
\
\
\ \
Human and all other vertebrates
\
\ \
human\
\
\
\
\
\ \
Nematodes
\
\ \
caenorhabditis
\
\
\
\
\
\ \
Drosophila
\
\ \
fly
\
\
\
\
\
\ \
A. mellifera
\
\ \
honeybee1
\
\
\
\
\
\ \
A. gambiae
\
\ \
culex
\
\
\
\
\
\ \
S. cerevisiae
\
\ \
saccharomyces
\
\
\
\
\
This table describes which training species was used for a particular group of assemblies.\
When available, the closest related training species was used.\
\
\
Credits
\
\
Thanks to the\
Stanke lab\
for providing the AUGUSTUS program. The training for the chicken version was\
done by Stefanie König and the training for the\
human and zebrafish versions was done by Mario Stanke.\
\
\
genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
color 12,105,0\
group genes\
html ../../augustusGene\
longLabel AUGUSTUS ab initio gene predictions v3.1\
parent genePredArchive\
shortLabel AUGUSTUS\
track augustusGene\
type genePred\
visibility pack\
avada Avada Variants bigBed 9 + Avada Variants extracted from full text publications 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track shows the genomic positions of variants in the\
AVADA database. \
AVADA is a database of variants built by a machine learning software\
that analyzes full text research articles to find the gene mentions in the text that \
look like they are most relevant for monogenic (non-cancer) genetic diagnosis, finds variant \
descriptions and uses the genes to map the variants to the genome. For details see the \
AVADA paper.\
\
As the data is automatically extracted from full-text publications, it includes \
some false positives. In the original study, out of 200 randomly selected articles,\
only 99 were considered relevant after manual curation. However, this share is very high\
compared to the Genomenom track. Ideally, the track is used\
in combination with variants found in human patients, to find relevant literature, \
or with Genome Browser tracks of variant databases that curated a single study \
for each variant, like our tracks for HGMD or LOVD.\
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of a variants are labeled with the variant description\
in the original text. This is not a normalized HGVS string, but the original\
text as the authors of the study described it.\
The Pubmed ID, gene and transcript for each variant are shown on the\
variant's details page, as well as the PubMed title, authors, and abstract. \
\
\
Mouse over the variants to show the gene, variant, first author, year, and title.\
\
The data has been lifted from hg19 to hg38.
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser,\
for download, intersection or correlations with other tracks. To join this track with others\
based on the chromosome positions, use the Data Integrator.\
\
\
For automated download and analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from\
our download server.\
The file for this track is called avada.bb. Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool\
can also be used to obtain only features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/bbi/avada.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
\
For automated access, this track like all others, is also available via our\
API. However, for bulk processing in\
pipelines, downloading the data and/or using bigBed files as described above is\
usually faster.
\
\
Methods
\
\
\
The AVADA VCF file was reformatted at UCSC to the bigBed format.\
The program that performs the conversion is available on\
Github. The paper reference information was added from\
MEDLINE and is used Courtesy of the U.S. National Library of Medicine, according \
to its \
Terms and Conditions.
\
\
Credits
\
\
Thanks to Gill Bejerano and Johannes Birgmeier for making the data available.\
\
phenDis 1 bigDataUrl /gbdb/hg19/bbi/avada.bb\
dataVersion release 1\
exonNumbers off\
longLabel Avada Variants extracted from full text publications\
mouseOverField _mouseOver\
noScoreFilter on\
parent varsInPubs pack\
shortLabel Avada Variants\
track avada\
type bigBed 9 +\
urls pmid="https://www.ncbi.nlm.nih.gov/pubmed/$$" doi="https://doi.org/$$" ensId="http://grch37.ensembl.org/Homo_sapiens/Gene/Summary?g=$$" entrezs="https://www.ncbi.nlm.nih.gov/gene/$$" refSeq="https://www.ncbi.nlm.nih.gov/nuccore/$$"\
visibility dense\
bacEndPairs BAC End Pairs bed 6 + BAC End Pairs 0 100 0 0 0 80 80 80 0 0 0
Description
\
\
Bacterial artificial chromosomes (BACs) are a key part of many \
large-scale sequencing projects. A BAC typically consists of 25 - 350 kb of\
DNA. During the early phase of a sequencing project, it is common\
to sequence a single read (approximately 500 bases) off each end of\
a large number of BACs. Later on in the project, these BAC end reads\
can be mapped to the genome sequence.
\
\
This track shows these mappings\
in cases where both ends could be mapped. These BAC end pairs can\
be useful for validating the assembly over relatively long ranges. In some\
cases, the BACs are useful biological reagents. This track can also be\
used for determining which BAC contains a given gene, useful information\
for certain wet lab experiments.
\
\
A valid pair of BAC end sequences must be\
at least 25 kb but no more than 350 kb away from each other. \
The orientation of the first BAC end sequence must be "+" and\
the orientation of the second BAC end sequence must be "-".
\
\
The scoring scheme used for this annotation assigns 1000 to an alignment \
when the BAC end pair aligns to only one location in the genome (after \
filtering). When a BAC end pair or clone aligns to multiple locations, the \
score is calculated as 1500/(number of alignments).
\
\
Methods
\
\
BAC end sequences are placed on the assembled sequence using\
Jim Kent's blat program.
\
\
Credits
\
\
Additional information about the clone, including how it\
can be obtained, may be found at the \
NCBI Clone Registry. To view the registry entry for a \
specific clone, open the details page for the clone and click on its name at \
the top of the page.
\
\
\
Some BAC library clones (RPCI-11, and others) can be ordered from \
BACPAC Genomics, RIKEN, or from Thermofisher and possibly other companies.\
\
map 1 altColor 80,80,80\
color 0,0,0\
exonArrows off\
group map\
longLabel BAC End Pairs\
shortLabel BAC End Pairs\
track bacEndPairs\
type bed 6 +\
visibility hide\
wgEncodeOpenChromChipViewSigBo Base OS bed 3 Open Chromatin TFBS by ChIP-seq from ENCODE/Open Chrom(UT Austin) 2 100 0 0 0 127 127 127 1 0 0 regulation 1 autoScale off\
longLabel Open Chromatin TFBS by ChIP-seq from ENCODE/Open Chrom(UT Austin)\
maxHeightPixels 100:32:16\
maxLimit 50\
minLimit 0\
parent wgEncodeOpenChromChip\
shortLabel Base OS\
track wgEncodeOpenChromChipViewSigBo\
view SIGBO\
viewLimits 0:50\
visibility full\
windowingFunction mean+whiskers\
wgEncodeOpenChromFaireViewSigBo Base Overlap Signal bed 3 Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill) 2 100 0 0 0 127 127 127 1 0 0 regulation 1 autoScale off\
longLabel Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill)\
maxHeightPixels 100:32:16\
maxLimit 50\
minLimit 0\
parent wgEncodeOpenChromFaire\
shortLabel Base Overlap Signal\
track wgEncodeOpenChromFaireViewSigBo\
view SIGBO\
viewLimits 0:50\
visibility full\
windowingFunction mean+whiskers\
bayesDel BayesDel bigWig BayesDel - deleteriousness meta-score 2 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
Note: these data have been converted via liftOver from the Mar. 2006 (NCBI36/hg18) version of the track.
\
\
Description
\
\
This track displays a chromatin state segmentation for each of\
nine human cell types.\
A common set of states across the cell types were learned by\
computationally integrating ChIP-seq data for\
nine factors plus input\
\
using a Hidden Markov Model (HMM). In total, fifteen states were used to\
segment the genome, and these states were then grouped and colored to\
highlight predicted functional elements.\
\
\
\
Display Conventions and Configuration
\
This track is a composite track that contains multiple subtracks. Each subtrack represents data\
for a different cell type and displays individually on the browser. Instructions for configuring tracks\
with multiple subtracks are\
here.\
The fifteen states of the HMM, their associated segment color, and the\
candidate annotations are as follows:\
\
State 1 - Bright Red - Active Promoter\
State 2 - Light Red -Weak Promoter\
State 3 - Purple - Inactive/poised Promoter\
State 4 - Orange - Strong enhancer\
State 5 - Orange - Strong enhancer\
State 6 - Yellow - Weak/poised enhancer\
State 7 - Yellow - Weak/poised enhancer\
State 8 - Blue - Insulator\
State 9 - Dark Green - Transcriptional transition\
State 10 - Dark Green - Transcriptional elongation\
State 11 - Light Green - Weak transcribed\
State 12 - Gray - Polycomb-repressed\
State 13 - Light Gray - Heterochromatin; low signal\
State 14 - Light Gray - Repetitive/Copy Number Variation\
State 15 - Light Gray - Repetitive/Copy Number Variation\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
ChIP-seq data from the Broad Histone\
track was used to generate this track. Data for\
nine factors plus input\
and nine cell types\
was binarized separately at a 200 base pair resolution based on a Poisson\
background model. The chromatin states were learned from this binarized data\
using a multivariate Hidden Markov Model (HMM) that explicitly models the\
combinatorial patterns of observed modifications (Ernst and Kellis, 2010).\
To learn a common set of states across the nine cell types, first the genomes were concatenated\
across the cell types. For each of the nine cell types, each 200 base pair interval\
was then assigned to its most likely state under the model. Detailed information about the model\
parameters and state enrichments can be found in (Ernst et al, accepted).\
\
Release Notes
\
\
This is release 1 (Jun 2011) of this track. It was lifted over from the\
NCBI36/hg18 version of the track, and is therefore based on the NCBI36/hg18\
release of the Broad Histone\
track. It is anticipated that the HMM methods will be run on the newer\
datasets in the GRCh37/hg19 version of the\
Broad Histone track, and, once that\
happens, the new data will replace this liftOver.\
\
Data generation and analysis was supported by funds from the NHGRI (ENCODE),\
the Burroughs Wellcome Fund, Howard Hughes Medical Institute, NSF, Sloan\
Foundation, Massachusetts General Hospital and the Broad Institute.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column on the track configuration page and\
the download page. The full data release policy for ENCODE is available\
here.
\
\
There is no restriction on the use of segmentation data.\
regulation 1 compositeTrack on\
controlledVocabulary encode/cv.ra cellType=cell\
dimensions dimensionX=cellType\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line dccAccession=UCSC_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
filterBy name:State=1_Active_Promoter,2_Weak_Promoter,3_Poised_Promoter,4_Strong_Enhancer,5_Strong_Enhancer,6_Weak_Enhancer,7_Weak_Enhancer,8_Insulator,9_Txn_Transition,10_Txn_Elongation,11_Weak_Txn,12_Repressed,13_Heterochrom/lo,14_Repetitive/CNV,15_Repetitive/CNV\
group regulation\
itemRgb on\
longLabel Chromatin State Segmentation by HMM from ENCODE/Broad\
noScoreFilter .\
origAssembly hg18\
priority 0\
shortLabel Broad ChromHMM\
sortOrder cellType=+\
subGroup1 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t3HMEC=HMEC t3HSMM=HSMM t3NHEK=NHEK t3NHLF=NHLF\
superTrack wgEncodeHistoneSuper dense\
track wgEncodeBroadHmm\
type bed 9 .\
wgEncodeBroadHistone Broad Histone bed 3 Histone Modifications by ChIP-seq from ENCODE/Broad Institute 1 100 0 0 0 127 127 127 1 0 0
Description
\
This track displays maps of chromatin state generated by the Broad/MGH\
ENCODE group using ChIP-seq. Chemical modifications (methylation, acetylation)\
to the histone proteins present in chromatin influence gene expression\
by changing how accessible the chromatin is to transcription.\
\
\
The ChIP-seq method involves first using formaldehyde to cross-link histones\
and other DNA-associated proteins to genomic DNA within cells. The cross-linked\
chromatin is subsequently extracted, mechanically sheared, and\
immunoprecipitated using specific antibodies. After reversal of cross-links,\
the immunoprecipitated DNA is sequenced and mapped to the human reference\
genome. The relative enrichment of each antibody-target (epitope) across the\
genome is inferred from the density of mapped fragments.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
ENCODE tracks typically contain one or more of the following views:\
\
Peaks
Regions of statistically significant signal\
enrichment. The score associated with each enriched interval is the mean\
signal value across the interval. (Note that a broad region with moderate\
enrichment may deviate from the background more significantly than a short\
region with high signal.)\
\
Signal
Density graph (wiggle) of signal enrichment.\
At each base-pair position, the density is calculated as the number of sequenced\
tags overlapping a 25 bp window centered at that position.
\
\
\
Peaks and signals displayed in this track are the results of pooled replicates. The raw\
sequence and alignment files for each replicate are available for\
download.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
ChIP-seq: Cells were grown according to the approved\
ENCODE cell culture protocols.\
Cells were fixed in 1% formaldehyde and resuspended in lysis buffer. Chromatin\
was sheared to 200-700 bp using a Diagenode Bioruptor. Solubilized chromatin was\
immunoprecipitated with antibodies against each of the histone antibodies\
listed above. Antibody-chromatin complexes were pulled down using protein\
A-sepharose (or anti-IgM-conjugated agarose for RNA polymerase II), washed and\
then eluted. After cross-link reversal and proteinase K treatment,\
immunoprecipitated DNA was extracted with phenol-chloroform, ethanol\
precipitated, treated with RNAse and purified. A quantity of 1-10 ng of DNA was\
end-repaired, adapter-ligated and sequenced by Illumina Genome Analyzers as\
recommended by the manufacturer.
\
\
Alignment: Sequence reads from each IP experiment were aligned to the\
human reference genome (GRCh37/hg19) using\
MAQ\
with default parameters, except '-C 11' and\
'-H output_file' were added. These options output up to 11 additional best matches\
for each read (if any are found) to a file. This information was used to filter\
out any read that had more than 10 best matches on the genome. Note that it is\
likely that instances where multiple reads align to the same position and with\
the same orientation are due to enhanced PCR amplification of a single DNA\
fragment. No attempt has been made, however, to remove such artifacts from the\
data, following ENCODE practices.
\
\
Signal: Fragment densities were computed by counting the number of\
reads overlapping each 25 bp bin along the genome. Densities were computed using\
igvtools count\
with default parameters (in particular, '-w 25' to set window size\
of 25 bp and '-f mean' to report the mean value across the window),\
except for '-e' which was set to extend the reads to 200 bp, and the\
.wig output was converted to bigWig using wigToBigWig\
from the UCSC Kent software package.
\
\
Peaks: Discrete intervals of ChIP-seq fragment enrichment were\
identified using Scripture,\
a scan statistics approach, under the assumption of uniform background signal.\
All data sets were processed with '-task chip', and with\
'-windows 100,200,500,1000,5000,10000,100000' (no mask file nor\
the '-trim' option have been used). The resulting called segments\
were then further filtered to remove intervals that were significantly enriched\
only because they contain smaller enriched intervals within them. This\
post-processing step has been implemented using Matlab. The use of the\
post-processing step allowed very large enriched intervals (of the order of\
Mbps for H3K27me3, for instance) to be detected, as well as much smaller\
intervals, without the need to tailor the parameters of Scripture\
based on prior expectations.\
\
Release Notes
\
\
\
This is Release 3 (Aug 2012). It contains 83 new experiments including 6 new cell lines and 25 new antibodies.\
Please note that an antibody previously labeled "Pol2 (b)" is, in fact, Covance antibody MMS-128P with the target POLR2A.\
\
\
\
Credits
\
The ChIP-seq data were generated at the\
Broad Institute and in the\
\
Bernstein lab at the Massachusetts General Hospital/Harvard Medical School.\
\
\
Data generation and analysis were supported by funds from the NHGRI, the\
Burroughs Wellcome Fund, Massachusetts General Hospital and the Broad Institute.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until, above. The full data release policy for ENCODE is available\
here.
\
This set of tracks displays the predicted hydroxyl radical cleavage\
intensity on naked DNA for each nucleotide in the genome.\
Because the hydroxyl radical cleavage intensity is proportional to the solvent\
accessible surface area of the deoxyribose hydrogen atoms \
(Balasubramanian et al., 1998), these tracks represent a structural \
profile of the DNA in the genome.
\
These tracks may be configured in a variety of ways to highlight different \
aspects of the displayed data. The graphical configuration options \
are shown at the top of the track description page. For more information, \
click the \
Graph\
configuration help link.
\
\
\
In the full and pack display modes, positive intensity values are shown in \
red and negative intensity values are shown in tan.\
In the squish and dense display modes, intensity is represented in grayscale (the darker\
the shading, the higher the intensity).\
To show only selected subtracks, uncheck the boxes next to the tracks that \
you wish to hide.
\
\
Recommended Track Settings
\
\
\
Because the ORChID tracks are single nucleotide resolution and different viewing scales result \
in different levels of smoothing, the default data view scale parameter (auto-scale to data view) is not \
always ideal for visualizing the variability in the data. As a result, we recommend the following data \
view scale parameters for different scales:\
\
\
\
\
\
Viewing scale
\
Data view scaling
\
Vertical viewing range: min
\
Vertical viewing range: max
\
\
\
\
less than 10 Kb
\
auto-scale to data view
\
NA
\
NA
\
\
\
\
10 Kb
\
use vertical viewing range setting
\
0
\
0.75
\
\
\
\
100 Kb
\
use vertical viewing range setting
\
0.1
\
0.5
\
\
\
\
1 Mb or larger
\
use vertical viewing range setting
\
0.2
\
0.4
\
\
\
\
\
Note that these settings are only recommendations and may not be ideal for all viewing circumstances. \
\
\
\
Methods
\
\
\
Hydroxyl radical cleavage intensity predictions were performed using\
an in-house sliding tetramer window (STW) algorithm on the hg19 version of the human genome. This algorithm\
draws data from the ·OH Radical Cleavage Intensity Database\
(ORChID), which contains more than 150 experimentally determined cleavage\
patterns. The ORChID Version 1 predictions are performed on the + strand of the DNA sequence.\
These predictions are fairly accurate, with a Pearson\
coefficient of 0.88 between the predicted and experimentally\
determined cleavage intensities. \
\
For ORChID Version 2, two predictions are performed, one on the + strand and the other on \
the - strand, and then the average of the predicted cleavage intensity for nucleotides in close proximity across the minor groove is presented.\
For more details on the hydroxyl\
radical cleavage method, see below for reference (Greenbaum et al. 2007).
\
\
\
\
The hydroxyl radical cleavage pattern for any DNA sequence can be predicted, either using a web-based server or via a Perl script. For details please see the ORChID website.\
\
\
\
Verification
\
\
\
The STW algorithm has been cross-validated by removing each test\
sequence from the training set and performing a prediction. The\
mean correlation coefficient (between predicted and experimental\
cleavage patterns) from this study was 0.88.
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
\
map 1 compositeTrack on\
controlledVocabulary encode/cv.ra\
dragAndDrop subTracks\
fileSortOrder tableName=Version view=View dccAccession=UCSC_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until md5sum=md5sum\
group map\
longLabel ORChID Predicted DNA Cleavage Sites from ENCODE/Boston Univ (Tullius lab)\
maxWindowToQuery 10000000\
noInherit on\
priority 0\
shortLabel BU ORChID\
sortOrder view=+\
subGroup1 view Views Signal=Signal\
track wgEncodeBuOrchid\
type bed\
caddSuper CADD bed CADD 1.6 Score for all single-basepair mutations and selected insertions/deletions 0 100 100 130 160 177 192 207 0 0 0
Description
\
\
This track collection shows Combined Annotation Dependent Depletion scores.\
CADD is a tool for scoring the deleteriousness of single nucleotide variants as\
well as insertion/deletion variants in the human genome.
\
\
\
Some mutation annotations\
tend to exploit a single information type (e.g., phastCons or phyloP for\
conservation) and/or are restricted in scope (e.g., to missense changes). Thus,\
a broadly applicable metric that objectively weights and integrates diverse\
information is needed. Combined Annotation Dependent Depletion (CADD) is a\
framework that integrates multiple annotations into one metric by contrasting\
variants that survived natural selection with simulated mutations.\
\
\
\
CADD scores strongly correlate with allelic diversity, pathogenicity of both\
coding and non-coding variants, experimentally measured regulatory effects,\
and also rank causal variants within individual genome sequences with a higher\
value than non-causal variants. \
Finally, CADD scores of complex trait-associated variants from genome-wide\
association studies (GWAS) are significantly higher than matched controls and\
correlate with study sample size, likely reflecting the increased accuracy of\
larger GWAS.\
\
\
\
A CADD score represents a ranking not a prediction, and no threshold is defined\
for a specific purpose. Higher scores are more likely to be deleterious: \
Scores are \
\
10 * -log of the rank
\
\
so that variants with scores above 20 are \
predicted to be among the 1.0% most deleterious possible substitutions in \
the human genome. We recommend thinking carefully about what threshold is \
appropriate for your application.\
\
\
Display Conventions and Configuration
\
\
There are six subtracks of this track: four for single-nucleotide mutations,\
one for each base, showing all possible substitutions, \
one for insertions and one for deletions. All subtracks show the CADD Phred\
score on mouseover. Zooming in shows the exact score on mouseover, same\
basepair = score 0.0.
\
\
PHRED-scaled scores are normalized to all potential ~9 billion SNVs, and\
thereby provide an externally comparable unit for analysis. For example, a\
scaled score of 10 or greater indicates a raw score in the top 10% of all\
possible reference genome SNVs, and a score of 20 or greater indicates a raw\
score in the top 1%, regardless of the details of the annotation set, model\
parameters, etc.\
\
\
The four single-nucleotide mutation tracks have a default viewing range of\
score 10 to 50. As explained in the paragraph above, that results in\
slightly less than 10% of the data displayed. The \
deletion and insertion tracks have a default filter of 10-100, because they\
display discrete items and not graphical data.\
\
\
\
Single nucleotide variants (SNV): For SNVs, at every\
genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing \
the reference allele, e.g., A to A, is always set to zero.\
\
\
When using this track, zoom in until you can see every basepair at the\
top of the display. Otherwise, there are several nucleotides per pixel under \
your mouse cursor and instead of an actual score, the tooltip text will show\
the average score of all nucleotides under the cursor. This is indicated by\
the prefix "~" in the mouseover. Averages of scores are not useful for any\
application of CADD.\
\
\
Insertions and deletions: Scores are also shown on mouseover for a\
set of insertions and deletions. On hg38, the set has been obtained from\
gnomAD3. On hg19, the set of indels has been obtained from various sources\
(gnomAD2, ExAC, 1000 Genomes, ESP). If your insertion or deleletion of interest\
is not in the track, you will need to use CADD's\
online scoring tool\
to obtain them.
\
\
Data access
\
\
CADD scores are freely available for all non-commercial applications from\
the CADD website.\
For commercial applications, see\
the license instructions there.\
\
\
\
The CADD data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
The files for this track are called a.bw, c.bw, g.bw, t.bw, ins.bb and del.bb. Individual\
regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/a.bw stdout\
\
or\
\
bigBedToBed -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/ins.bb stdout
\
phenDis 1 color 100,130,160\
group phenDis\
longLabel CADD 1.6 Score for all single-basepair mutations and selected insertions/deletions\
shortLabel CADD\
superTrack on hide\
track caddSuper\
type bed\
visibility hide\
cadd CADD bigWig CADD 1.6 Score for all possible single-basepair mutations (zoom in for scores) 1 100 100 130 160 177 192 207 0 0 0
Description
\
\
This track collection shows Combined Annotation Dependent Depletion scores.\
CADD is a tool for scoring the deleteriousness of single nucleotide variants as\
well as insertion/deletion variants in the human genome.
\
\
\
Some mutation annotations\
tend to exploit a single information type (e.g., phastCons or phyloP for\
conservation) and/or are restricted in scope (e.g., to missense changes). Thus,\
a broadly applicable metric that objectively weights and integrates diverse\
information is needed. Combined Annotation Dependent Depletion (CADD) is a\
framework that integrates multiple annotations into one metric by contrasting\
variants that survived natural selection with simulated mutations.\
\
\
\
CADD scores strongly correlate with allelic diversity, pathogenicity of both\
coding and non-coding variants, experimentally measured regulatory effects,\
and also rank causal variants within individual genome sequences with a higher\
value than non-causal variants. \
Finally, CADD scores of complex trait-associated variants from genome-wide\
association studies (GWAS) are significantly higher than matched controls and\
correlate with study sample size, likely reflecting the increased accuracy of\
larger GWAS.\
\
\
\
A CADD score represents a ranking not a prediction, and no threshold is defined\
for a specific purpose. Higher scores are more likely to be deleterious: \
Scores are \
\
10 * -log of the rank
\
\
so that variants with scores above 20 are \
predicted to be among the 1.0% most deleterious possible substitutions in \
the human genome. We recommend thinking carefully about what threshold is \
appropriate for your application.\
\
\
Display Conventions and Configuration
\
\
There are six subtracks of this track: four for single-nucleotide mutations,\
one for each base, showing all possible substitutions, \
one for insertions and one for deletions. All subtracks show the CADD Phred\
score on mouseover. Zooming in shows the exact score on mouseover, same\
basepair = score 0.0.
\
\
PHRED-scaled scores are normalized to all potential ~9 billion SNVs, and\
thereby provide an externally comparable unit for analysis. For example, a\
scaled score of 10 or greater indicates a raw score in the top 10% of all\
possible reference genome SNVs, and a score of 20 or greater indicates a raw\
score in the top 1%, regardless of the details of the annotation set, model\
parameters, etc.\
\
\
The four single-nucleotide mutation tracks have a default viewing range of\
score 10 to 50. As explained in the paragraph above, that results in\
slightly less than 10% of the data displayed. The \
deletion and insertion tracks have a default filter of 10-100, because they\
display discrete items and not graphical data.\
\
\
\
Single nucleotide variants (SNV): For SNVs, at every\
genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing \
the reference allele, e.g., A to A, is always set to zero.\
\
\
When using this track, zoom in until you can see every basepair at the\
top of the display. Otherwise, there are several nucleotides per pixel under \
your mouse cursor and instead of an actual score, the tooltip text will show\
the average score of all nucleotides under the cursor. This is indicated by\
the prefix "~" in the mouseover. Averages of scores are not useful for any\
application of CADD.\
\
\
Insertions and deletions: Scores are also shown on mouseover for a\
set of insertions and deletions. On hg38, the set has been obtained from\
gnomAD3. On hg19, the set of indels has been obtained from various sources\
(gnomAD2, ExAC, 1000 Genomes, ESP). If your insertion or deleletion of interest\
is not in the track, you will need to use CADD's\
online scoring tool\
to obtain them.
\
\
Data access
\
\
CADD scores are freely available for all non-commercial applications from\
the CADD website.\
For commercial applications, see\
the license instructions there.\
\
\
\
The CADD data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
The files for this track are called a.bw, c.bw, g.bw, t.bw, ins.bb and del.bb. Individual\
regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/a.bw stdout\
\
or\
\
bigBedToBed -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/ins.bb stdout
\
phenDis 0 color 100,130,160\
compositeTrack on\
group phenDis\
html caddSuper\
longLabel CADD 1.6 Score for all possible single-basepair mutations (zoom in for scores)\
maxWindowToDraw 10000000\
mouseOverFunction noAverage\
parent caddSuper\
shortLabel CADD\
track cadd\
type bigWig\
visibility dense\
wgEncodeCaltechRnaSeq Caltech RNA-seq bed 3 RNA-seq from ENCODE/Caltech 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track was produced as part of the ENCODE Project. RNA-seq is a method for\
mapping and quantifying the transcriptome of any organism that has a genomic DNA\
sequence assembly. RNA-seq was performed by reverse-transcribing an RNA sample into\
cDNA, followed by high-throughput DNA sequencing, which was done on an Illumina\
Genome Analyzer (GAI or GAIIx) (Mortazavi et al., 2008). The transcriptome\
measurements shown on these tracks were performed on\
polyA selected RNA from\
total cellular RNA using two different protocols:\
one that preserves information about which strand the read is coming from and one\
that does not. Due to the specifics of the enzymology of library construction, gene\
and transcript quantification is more accurate based on the non-strand-specific\
protocol, while the strand-specific protocol is useful for assigning strandedness, but\
in general less reliable for quantification.\
\
\
Non-strand-specific Protocol (deep "reference" transcriptome measurements, 2x75 bp reads)
\
\
\
PolyA-selected RNA was fragmented by magnesium-catalyzed hydrolysis, converted into\
cDNA by random priming and then amplified. Data were produced in two formats: single\
reads, each of which came from one end of a cDNA molecule, and paired-end reads, which\
were obtained as pairs from both ends of cDNAs. This RNA-seq protocol does not specify\
the coding strand. As a result, there is ambiguity at loci where both strands are\
transcribed. The "randomly primed" reverse transcription is, apparently, not\
fully random. This is inferred from a sequence bias in the first residues of the read\
population, and this likely contributes to observed unevenness in sequence coverage\
across transcripts.\
\
\
Strand-specific Protocol (1x75 bp reads)
\
\
\
PolyA-selected RNA was fragmented by magnesium-catalyzed hydrolysis. A set of 3' and 5'\
adapters were ligated to the 3' and 5' ends of the fragments, respectively. The resulting\
RNA molecules were converted to cDNA and amplified. This RNA-seq protocol does specify the\
coding strand as each read is in the same 5'-3' orientation as the original RNA strand. As a\
result, loci where both strands are transcribed can be disambiguated. However, RNA ligation is\
an inherently biased process and as a result, greater unevenness in sequence coverage across\
transcripts is observed compared to the non-strand-specific data, and quantification is less\
accurate.\
\
\
Data Analysis
\
\
\
Reads were aligned to the hg19 human reference genome using TopHat (Trapnell et al.,\
2009), a program specifically designed to align RNA-seq reads and discover splice junctions de\
novo. Cufflinks (Trapnell et al., 2010), a de novo transcript assembly and quantification\
software package, was run on the TopHat alignments to discover and quantify novel transcripts and\
to obtain transcript expression estimates based on the GENCODE annotation. All sequence files,\
alignments, gene and transcript models and expression estimates files are available for download.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types (views). For each\
view, there are multiple subtracks that display individually on the browser. Instructions for\
configuring multi-view tracks are here.\
The following views are in this track:\
\
\
\
Alignments
\
The Alignments view shows reads aligned to the genome. Alignments are colored by cell type.\
The tags used in this file are: NH XS CP NM CC. The 'XS' custom tag indicates the sense/anti-sense\
of the strand. See the Bowtie Manual (Langmead et al., 2009) for more information about the\
SAM Bowtie output (including other tags) and the\
SAM Format Specification\
for more information on the SAM/BAM file format.
\
\
\
For Stranded Data (1x75)
\
\
\
Plus Raw Signal (only for stranded data)
\
Density graph (wiggle) of signal enrichment based on a normalized aligned read density (Read\
Per Million, RPM) for reads aligning to the forward strand.
\
Minus Raw Signal (only for stranded data)
\
Density graph (wiggle) of signal enrichment based on a normalized aligned read density (Read\
Per Million, RPM) for reads aligning to the reverse strand. Minus strand score is multiplied by -1\
for display purposes so that data can be viewed around an axis.
\
\
\
For Paired-End Non-Stranded Data (2x75)
\
\
\
Raw Signal (only for paired-end data)
\
Density graph (wiggle) of signal enrichment based on a normalized aligned read density (Read\
Per Million, RPM). The RPM measure assists in visualizing the relative amount of a given transcript\
across multiple samples. A separate track for the forward (plus) and reverse (minus) strands are\
provided for strand-specific data.
\
Splice Sites
\
Subset of aligned reads that crosses splice junctions.
\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.\
\
\
Methods
\
\
Experimental Procedures
\
\
\
Cells were grown according to the approved ENCODE cell culture protocols except for H1-hESC for which frozen cell pellets\
were purchased from Cellular Dynamics. Cells were lysed in RLT buffer (Qiagen RNeasy kit) and\
processed on RNeasy midi columns according to the manufacturer's protocol, with the inclusion of\
the "on-column" DNase digestion step to remove residual genomic DNA.\
\
\
\
A quantity of 75 µg of total RNA was selected twice with oligo-dT beads (Dynal) according\
to the manufacturer's protocol to isolate mRNA from each of the preparations. For 2x75 bp non-stranded\
RNA-seq, 100 ng of mRNA was then processed according to the protocol in Mortazavi et al.\
(2008), and prepared for sequencing on the Genome Analyzer flow cell according to the protocol for the\
ChIP-seq DNA genomic DNA kit (Illumina). The majority of paired-end libraries were size-selected around\
200 bp (fragment length) with the exception of a few additional replicates that were size-selected at 400\
bp with the specific intent to investigate the effect of fragment length on results. Strand-specific RNA-seq\
libraries were prepared from 100 ng of mRNA from the same preparation following\
Illumina's Strand-Specific RNA-seq protocol.\
\
\
\
Libraries were sequenced with an Illumina Genome Analyzer I or an Illumina Genome Analyzer IIx according\
to the manufacturer's recommendations. Reads of 75 bp length were obtained, single-end for directional,\
strand-specific libraries (1x75D) and paired-end for non-strand-specific libraries (2x75).\
\
\
Data Processing and Analysis
\
\
\
Reads were mapped to the reference human genome (version hg19), with or without the Y chromosome,\
depending on the sex of the cell line, and without the random chromosomes and haplotypes in all cases,\
using TopHat (version 1.0.14). TopHat was\
used with default settings with the exception of specifying an empirically determined mean inner-mate\
distance. After mapping reads to the genome and identifying splice junctions, the data were further\
analyzed using the transcript assembly and quantification software\
Cufflinks (version 0.9.3) using the sequence\
bias detection and correction option. Cufflinks was used in two modes: 1) expression for genes and\
individual transcripts was quantified based on the GENCODE annotation, for both versions v3c and v4 of\
GENCODE GRCh37; 2) Cufflinks was run in de novo transcript assembly and quantification mode to\
obtain candidate novel transcript and gene models and expression estimates for them.\
\
\
Downloadable Files
\
\
\
The following files can be found on the\
downloads page:\
\
\
\
.fastq - Raw sequence files in fastq format with phred33 quality scores.
\
Junctions.bedRnaElements - A BED file containing TopHat-defined splice junctions.
\
TranscriptDeNovo.gtf - A GTF file containing transcript models and expression estimates in\
FPKM (Fragments Per Kilobase per Million reads) produced by Cufflinks in de novo mode.
\
TranscriptGencV3c.gtf - Expression level estimates at the transcript level for the GENCODE\
GRCh37.v3c annotation in GTF format.
\
GenesDeNovo.gtf - Expression estimates for genes defined by Cufflinks in de novo mode in\
GTF format.
\
GeneGencV3c.gtf - Expression level estimates at the gene level for the GENCODE GRCh37.v3c\
annotation in GTF format.
\
ExonGencV3c.gtf - Expression level estimates for GENCODE GRCh37.v3c exons in GTF format\
derived by summing the expression levels in FPKM for all transcripts containing a given exon.
\
TSS.gtf - Expression level estimates for GENCODE GRCh37.v3c transcription start sites (TSS) in\
GTF format derived by summing the expression levels in FPKM for all transcripts originating from a given TSS.
\
\
\
Verification
\
\
\
Known exon maps as displayed on the genome browser are confirmed by the alignment of sequence reads.
\
Known spliced exons are detected at the expected frequency for transcripts of given abundance.
\
Linear range detection of spiked-in RNA transcripts from Arabidopsis and phage lambda over 5\
orders of magnitude.
\
Endpoint RT-PCR confirms presence of selected 3' UTR extensions.
\
Correlation to published microarray data r = 0.62.
\
\
\
Release Notes
\
\
\
This is release 4 (August 2012). Fastq files for GM12892, GM12891 and K562 (R1x75) were replaced\
after errors were found in the GEO submission process.\
\
\
Credits
\
\
Wold Group: Ali Mortazavi, Brian Williams, Georgi Marinov, Diane Trout, Brandon King, Ken McCue, Lorian Schaeffer.
\
Myers Group: Norma Neff, Florencia Pauli, Fan Zhang, Tim Reddy, Rami Rauch, Chris Partridge.
\
Illumina gene expression group: Gary Schroth, Shujun Luo, Eric Vermaas.
\
TopHat/Cufflinks development: Cole Trapnell, Lior Pachter, Steven Salzberg.
\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications\
that use an unpublished ENCODE dataset until nine months following the release of the dataset.\
This date is listed in the Restricted Until column, above. The full data release policy\
for ENCODE is available here.\
\
This track shows 13 regions of the human genome in which there is\
considerably more haplotype diversity among non-African genomes than\
within African genomes. A prediction of Neandertal-to-modern human\
gene flow is that these deeply divergent haplotypes which exist only in\
non-African populations entered the human gene pool from Neandertals.\
Of the 12 candidate gene flow regions with tag SNP data, there are 10\
regions in which Neandertals match the deep haplotype clade unique to\
non-Africans (out of Africa, OOA) instead of the cosmopolitan\
haplotype clade shared by Africans and non-Africans (cosmopolitan,\
COS).\
\
\
The table below was copied from Table 5, "Non-African haplotypes \
match Neandertal at an unexpected rate", from Green et al.:\
\
\
ST = estimated ratio of OOA/African gene tree depth. \
Average Frequency in OOA = average (across tag SNPs in the region) of the population frequency in the 48 OOA individuals of the OOA-only allele for each tag SNP. \
AM = Neandertal has ancestral allele and matches OOA-specific clade. \
DM = Neandertal has derived allele and matches OOA-specific clade. \
AN = Neandertal has ancestral allele and does not match OOA-specific clade. \
DN = Neandertal has derived allele and does not match OOA-specific clade.\
\
\
Display Conventions and Configuration
\
\
A region is colored green if its qualitative assessment is OOA, blue\
if COS, and gray if unknown (no tag SNPs in region).\
\
\
Methods
\
\
Green et al. used 1,263,750 Perlegen Class A SNPs, identified\
in 71 individuals of diverse ancestry (see Hinds et al.), to\
identify 13 candidate gene flow regions (Supplemental Online Materials\
Text 17).\
24 individuals of European ancestry and 24 individuals of Han Chinese\
ancestry were used to represent the non-African population, and the\
remaining 23 individuals, of African American ancestry, were used to\
represent the African population.\
\
\
From the 1,263,750 Perlegen Class A SNPs, they identified 166 tag\
SNPs that separate (see below) 12 of the haplotype clades in\
non-Africans (OOA) from the cosmopolitan haplotype clades shared between\
Africans and non-Africans (COS) and for which they had data from the\
Neandertals. Of the 13 regions, one had no tag SNPs so could not be\
assessed, two were COS, and 10 were OOA (see final column Table 1).\
\
\
Overall, the Neandertals match the deep clade unique to non-Africans\
(OOA) at 133 of the 166 tag SNPs. They assessed the rate at which\
Neandertal matches each of these clades by further subdividing the 133\
tag SNPs based on their ancestral or derived status in\
Neandertal and whether they matched the OOA-specific clade or not.\
Candidate regions were qualitatively assessed to be OOA matches for \
Neandertal when the proportion of tag SNPs matching the OOA-specific \
clade is much more than 50%.\
\
\
Credits
\
\
This track was produced at UCSC using data generated by\
Ed Green.\
\
\
References
\
\
Green RE, Krause J, Briggs AW, Maricic T, Stenzel U, Kircher M, Patterson N, Li H, Zhai W, Fritz MH\
et al.\
\
A draft sequence of the Neandertal genome.\
Science. 2010 May 7;328(5979):710-22.\
PMID: 20448178\
\
neandertal 1 chromosomes chr1,chr4,chr5,chr6,chr9,chr10,chr15,chr17,chr20,chr22\
exonArrows off\
group neandertal\
itemRgb on\
longLabel Candidate Regions for Gene Flow from Neandertal to Non-African Modern Humans\
noScoreFilter .\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel Cand. Gene Flow\
track ntOoaHaplo\
type bed 9 +\
visibility hide\
ccdsGene CCDS genePred Consensus CDS 0 100 12 120 12 133 187 133 0 0 0
Description
\
\
This track shows human genome high-confidence gene annotations from the\
Consensus \
Coding Sequence (CCDS) project. This project is a collaborative effort \
to identify a core set of \
human protein-coding regions that are consistently annotated and of high \
quality. The long-term goal is to support convergence towards a standard set \
of gene annotations on the human genome.\
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Methods
\
\
CDS annotations of the human genome were obtained from two sources:\
NCBI \
RefSeq and a union of the gene annotations from \
Ensembl and \
Vega, collectively known \
as Hinxton.
\
\
Genes with identical CDS genomic coordinates in both sets become CCDS \
candidates. The genes undergo a quality evaluation, which must be approved by \
all collaborators. The following criteria are currently used to assess each\
gene: \
\
an initiating ATG (Exception: a non-ATG translation start codon is \
annotated if it has sufficient experimental support), a valid stop codon, and \
no in-frame stop codons (Exception: selenoproteins, which contain a TGA codon \
that is known to be translated to a selenocysteine instead of functioning as \
a stop codon) \
ability to be translated from the genome reference sequence without frameshifts\
recognizable splicing sites\
no intersection with putative pseudogene predictions\
supporting transcripts and protein homology\
conservation evidence with other species\
\
\
A unique CCDS ID is assigned to the CCDS, which links together all gene \
annotations with the same CDS. CCDS gene annotations are under continuous\
review, with periodic updates to this track.\
\
\
Credits
\
\
This track was produced at UCSC from data downloaded from the\
CCDS project \
web site.\
\
\
References
\
\
Hubbard T, Barker D, Birney E, Cameron G, Chen Y, Clark L, Cox T, Cuff J, Curwen V, Down T et\
al.\
The Ensembl genome database project.\
Nucleic Acids Res. 2002 Jan 1;30(1):38-41.\
PMID: 11752248; PMC: PMC99161\
\
genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
color 12,120,12\
group genes\
longLabel Consensus CDS\
shortLabel CCDS\
track ccdsGene\
type genePred\
visibility hide\
eioJcviNAS CD34 DnaseI bed 3 . Eur. Inst. Oncology/J. C. Venter Inst. Nuclease Accessible Sites 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
Genes in metazoa are controlled by a complex array of cis-regulatory elements \
that include core and distal promoters, enhancers, insulators, silencers, etc. \
(Levine and Tjian, 2003). In living cells, functionally active cis-regulatory \
elements bear a unifying feature, which is a chromatin-based epigenetic \
signature known as nuclease hypersensitivity (Elgin, 1988; Gross and Garrard, \
1988; Wolffe, 1998). This track presents the results of a collaboration \
between J. Craig Venter Institute (JCVI, Rockville MD) and the European \
Institute of Oncology (Milan, Italy) to isolate nuclease accessible sites \
(NAS) from primary human CD34+ hematopoietic stem and progenitor cells, and \
from CD34- cells, maturating myeloid cells generated by in vitro \
differentiation of CD34+ cells (Gargiulo et al., submitted). This effort made \
use of a method (originally developed at Sangamo BioSciences, Richmond, CA) to \
isolate such NAS from living cells using restriction enzymes (RE), leading to \
minimal, if any, contamination from bulk DNA. High throughput 454 sequencing \
was then used to generate NAS libraries in CD34+ and CD34- cells: this \
technology has been named "NA-Seq" (Gargiulo et al., submitted).\
Display Conventions
\
\
The track annotates the location of NAS in the genome of human CD34+ and CD34- \
cells in the form of tags, generated by NA-Seq and obtained by merging NAS \
within 600 bp. Note that the method identifies a specific position in chromatin \
that is sensitive to nucleases, but does not map the boundaries of a \
regulatory element per se. A conservative estimate of element size would be \
the space occupied by one nucleosome, i.e., 180 - 200 bp surrounding the tag, \
although there is precedent in the literature for nuclease hypersensitive \
sites that span more than the length of one nucleosome (Turner, 2001; Wolffe, \
1998; Boyle, 2008).\
Methods
\
\
CD34+ cells (enriched in hematopoietic stem and progenitor cells) were \
prepared from healthy donors following guidelines established by the Ethics \
Committee of the European Institute of Oncology (IEO), Milan. Mobilization of \
CD34+ cells to the peripheral blood was stimulated by G-CSF treatment \
according to standard procedures. After mobilization, donors were subjected to \
leukaphereses, and <10% of the sample was used in the experiment. CD34+ \
cells were purified using a magnetic positive selection procedure ("EASYSEP"; \
Stemcell, Vancouver, Canada). Purity of separation was evaluated by FACS \
after staining with an anti-Human CD34 FITC-conjugate antibody (Stemcell). \
Upon purification, the cell cycle status of the CD34+ cells was monitored by \
propidium iodide staining and FACS analysis. G0/G1 cells varied from \
approximately 90% to >95% of the total cells. Cells were immediately used \
for the isolation of NAS using the nuclease hypersensitive site isolation \
protocol (Gargiulo et al., submitted).\
Verification
\
\
The method was initially validated on human tissue culture cells by examining \
the colocalization of DNA fragments isolated from cells with experimentally \
determined nuclease hypersensitive sites in chromatin as mapped by indirect \
end-labeling and Southern blotting (Nedospasov and Georgiev, 1980; Wu, 1980). \
Nineteen out of nineteen randomly chosen clones from those libraries \
represented bona fide DNAse I hypersensitive sites in chromatin (Fyodor Urnov, \
unpublished results). These data confirmed that the method yields very \
high-content libraries of active cis-regulatory DNA elements, supporting its \
application to human CD34+ cells. In collaboration with scientists at the J. \
Craig Venter Institute and the European Institute of Oncology, libraries of \
NAS were prepared using this method in HT 454 sequencing from CD34+ and CD34- \
cells, and showed that 41 out of 51 randomly chosen clones - >80% - \
coincided with DNAse I hypersensitive sites (Gargiulo et al., submitted).\
Credits
\
\
The library of Nuclease Accessible sites (NAS) from human CD34+/CD34- cells \
was prepared and validated by Saverio Minucci and colleagues at the European \
Institute of Oncology. Sequencing was performed by Sam Levy and colleagues \
(J. Craig Venter Institute). This method was initially developed and validated \
by Fyodor Urnov, Alan Wolffe, and colleagues at Sangamo BioSciences, Inc. \
\
These tracks show the one-to-one v1_nfLO alignments of the GRCh37/hg19 to the\
T2T-CHM13 v2.0 assembly.\
\
\
Display Conventions
\
\
The track displays boxes joined together by either single or double lines,\
with the boxes represent aligning regions, single lines indicating gaps that\
are largely due to a deletion in the CHM13 v2.0 assembly or an insertion in\
the GRCh37/hg19, and double lines representing more complex gaps that involve\
substantial sequence in both assembly.\
\
\
\
Methods
\
Alignment and Chain Creation
\
\
For the minimap2-based pipeline, the initial chain file was generated using\
nf-LO v1.5.1 with\
minimap2 v2.24 alignments. \
These chains were then split at all locations that contained unaligned segments greater \
than 1 kbp or gaps greater than 10 kbp. Split chain files were then converted to PAF format \
with extended CIGAR strings using chaintools (v0.1), \
and alignments between nonhomologous chromosomes were removed. The trim-paf operation of \
rustybam (v0.1.29) was next used to remove overlapping \
alignments in the query sequence, and then the target sequence, to create 1:1 alignments. \
PAF alignments were converted back to the chain format with paf2chain commit f68eeca, and \
finally, chaintools was used to generate the inverted chain file.\
\
Rustybam trim-paf\
uses dynamic programming and the CIGAR string to find an optimal\
splitting point between overlapping alignments in the query sequence. It\
starts its trimming with the largest overlap and then recursively trims\
smaller overlaps.\
\
\
\
Results were validated by using chaintools to confirm that there were no\
overlapping sequences with respect to both CHM13v2.0 and GRCh37 in the\
released chain file. In addition, trimmed alignments were visually inspected\
with SafFire to confirm their quality.\
\
\
\
Chains were swapped to make GRCh37/hg19 the target.\
Nurk S, Koren S, Rhie A, Rautiainen M, et al. The complete sequence of a human genome. bioRxiv, 2021.
\
\
\
compGeno 1 bigDataUrl /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.ncbi-qnames.over.chain.bb\
color 120,20,0\
group compGeno\
linkDataUrl /gbdb/hg19/bbi/chm13LiftOver/hg19-chm13v2.ncbi-qnames.over.link.bb\
longLabel CHM13 (GCA_009914755.4) v1_nfLO liftOver alignments\
shortLabel CHM13 alignments\
track chm13LiftOver\
type bigChain GCA_009914755.4\
visibility hide\
cytoBand Chromosome Band bed 4 + Chromosome Bands Localized by FISH Mapping Clones 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The chromosome band track represents the approximate \
location of bands seen on Giemsa-stained chromosomes.\
Chromosomes are displayed in the browser with the short arm first. \
Cytologically identified bands on the chromosome are numbered outward \
from the centromere on the short (p) and long (q) arms. At low resolution, \
bands are classified using the nomenclature \
[chromosome][arm][band], where band is a \
single digit. Examples of bands on chromosome 3 include 3p2, 3p1, cen, 3q1, \
and 3q2. At a finer resolution, some of the bands are subdivided into \
sub-bands, adding a second digit to the band number, e.g. 3p26. This \
resolution produces about 500 bands. A final subdivision into a \
total of 862 sub-bands is made by adding a period and another digit to the \
band, resulting in 3p26.3, 3p26.2, etc.
\
\
Methods
\
\
Chromosome band information was downloaded from NCBI\
using the ideogram.gz file for the respective assembly. These data were then \
transformed into our visualization format. See our \
assembly creation documentation for the organism of interest\
to see the specific steps taken to transform these data.\
Band lengths are typically estimated based on FISH or other\
molecular markers interpreted via microscopy.
\
\
For some of our older assemblies, greater than 10 years old, the tracks were\
created as detailed below and in Furey and Haussler, 2003.
\
\
Barbara Trask, Vivian Cheung, Norma Nowak and others in the BAC Resource\
Consortium used fluorescent in-situ hybridization (FISH) to determine a \
cytogenetic location for large genomic clones on the chromosomes.\
The results from these experiments are the primary source of information used\
in estimating the chromosome band locations.\
For more information about the process, see the paper, Cheung,\
et al., 2001. and the accompanying web site,\
Human BAC Resource.
\
\
BAC clone placements in the human sequence are determined at UCSC using a \
combination of full BAC clone sequence, BAC end sequence, and STS marker \
information.
\
\
Credits
\
\
We would like to thank all the labs that have contributed to this resource:\
\
\
map 1 group map\
longLabel Chromosome Bands Localized by FISH Mapping Clones\
shortLabel Chromosome Band\
track cytoBand\
type bed 4 +\
visibility hide\
cytoBandIdeo Chromosome Band (Ideogram) bed 4 + Chromosome Bands Localized by FISH Mapping Clones (for Ideogram) 1 100 0 0 0 127 127 127 0 0 0 map 1 group map\
longLabel Chromosome Bands Localized by FISH Mapping Clones (for Ideogram)\
shortLabel Chromosome Band (Ideogram)\
track cytoBandIdeo\
type bed 4 +\
visibility dense\
clinGenComp ClinGen bigBed 9 + ClinGen curation activities (Dosage Sensitivity and Gene-Disease Validity) 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
\
NOTE: \
These data are for research purposes only. While the ClinGen data are \
open to the public, users seeking information about a personal medical or \
genetic condition are urged to consult with a qualified physician for \
diagnosis and for answers to personal medical questions.\
\
\
UCSC presents these data for use by qualified professionals, and even \
such professionals should use caution in interpreting the significance of \
information found here. No single data point should be taken at face \
value and such data should always be used in conjunction with as much \
corroborating data as possible. No treatment protocols should be \
developed or patient advice given on the basis of these data without \
careful consideration of all possible sources of information.\
\
\
No attempt to identify individual patients should \
be undertaken. No one is authorized to attempt to identify patients \
by any means.\
ClinGen Dosage Sensitivity Map -Haploinsufficiency (ClinGen \
Haploinsufficiency) and -Triplosensitivity (ClinGen Triplosensitivity) -\
Shows evidence supporting or refuting haploinsufficiency (loss) and triplosensitivity (gain) as \
mechanisms for disease at gene-level and larger genomic regions.\
\
ClinGen Gene-Disease Validity Classification (ClinGen Validity) -\
Provides a semi-qualitative measurement for the strength of evidence of a gene-disease relationship. \
\
\
\
\
A rating system is used to classify the evidence supporting or refuting dosage\
sensitivity for individual genes and regions, which takes in consideration the following criteria:\
number of causative variants reported, patterns of inheritance, consistency of phenotype, evidence\
from large-scale case-control studies, mutational mechanisms, data from public genome variation \
databases, and expert consensus opinion.\
\
\
The system is intended to be of a "dynamic nature", with regions being reevaluated periodically to \
incorporate emerging evidence. The evidence collected is displayed within a publicly available \
database. \
Evidence that haploinsufficiency or triplosensitivity of a gene is associated with a specific \
phenotype will aid in the interpretive assessment of CNVs including that gene or genomic region.\
\
\
Similarly, a qualitative classification system is used to correlate the evidence of \
a gene-disease relationship: "Definitive", "Strong", "Moderate", \
"Limited", "Animal Model Only", \
"No Known Disease Relationship", "Disputed", or "Refuted".\
\
\
Display Conventions
\
Haploinsufficiency/Triplosensitivity tracks
\
\
Items are shaded according to dosage sensitivity type, red \
for haploinsufficiency score 3, blue for triplosensitivity score 3, \
and grey for other evidence scores or \
not yet evaluated).\
Mouseover on items shows the supporting evidence of dosage sensitivity.\
Tracks can be filtered according to the supporting evidence of dosage sensitivity.\
\
\
Dosage Scores are used to classify the evidence of the supporting dosage sensitivity map:\
\
0 - no evidence available
\
1 - little evidence for dosage pathogenicity
\
2 - some evidence for dosage pathogenicity
\
3 - sufficient evidence for dosage pathogenicity
\
30 - gene associated with autosomal recessive phenotype
\
40 - dosage sensitivity unlikely
\
\
\
\
\
For more information on the use of the scores see the ClinGen\
FAQs.\
\
\
Gene-Disease Validity track
\
\
\
The gene-disease validity classifications are labeled with the disease entity and hovering \
over the features shows the associated gene. Items are color coded based on the strength of their \
classification as provided below:\
\
\
\
\
Color
\
Classifications
\
\
\
\
\
Definitive: The role of this gene in this particular disease has been \
repeatedly demonstrated and has been upheld over time
\
\
\
\
Strong: The role of this gene in disease has been independently\
demonstrated typically in at least two separate studies, including both strong variant-level\
evidence in unrelated probands and compelling gene-level evidence from experimental data
\
\
\
\
Moderate: There is moderate evidence to support a causal role for this\
gene in this disease, typically including both several probands with variants and moderate \
experimental data supporting the gene-disease assertion
\
\
\
\
Limited: There is limited evidence to support a causal role for this \
gene in this disease, such as few probands with variants and limited experimental data supporting \
the gene-disease assertion
\
\
\
\
Animal Model Only: There are no published human probands with variants \
but there is animal model data supporting the gene-disease assertion
\
\
\
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No Known Disease Relationship: Evidence for a causal role in disease \
has not been reported
\
\
\
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Disputed: Conflicting evidence disputing a role for this gene in this \
disease has arisen since the initial report identifying an association between the gene and disease
\
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Refuted: Evidence refuting the role of the gene in the specified \
disease has been reported and significantly outweighs any evidence supporting the role
\
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\
The version of the ClinGen Standard Operating Procedures (SOPs) that each gene-disease \
classification was performed with is provided as well. An older or newer SOP version does not \
necessarily mean the classification is any more or less valid but is provided for clarity. \
Each details page also contains a direct link to an evidence summary detailing the rationale behind\
the specific classification and information such as a breakdown of the semi-qualitative framework, \
relevant PubMed IDs, the type of data (Genetic vs Experimental Evidence), and a detailed summary.\
\
\
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view \
within a track has separate display controls, as described \
here.\
\
\
Data Updates
\
Our programs check every day if ClinGen has an updated data file, and if so, update the track with the latest file.\
Click the "Data Format" on this track documentation page to see when the track was last updated.\
\
\
Thank you to ClinGen and NCBI, especially Erin Rooney Riggs, Christa Lese Martin, Tristan Nelson,\
May Flowers, Scott Goehringer, and Phillip Weller for technical coordination and \
consultation, and to Christopher Lee, Luis Nassar, and Anna Benet-Pages of the Genome \
Browser team.\
NOTE: \
These data are for research purposes only. While the ClinGen data are\
open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal medical questions.\
\
\
UCSC presents these data for use by qualified professionals, and even\
such professionals should use caution in interpreting the significance of \
information found here. No single data point should be taken at face \
value and such data should always be used in conjunction with as much \
corroborating data as possible. No treatment protocols should be \
developed or patient advice given on the basis of these data without \
careful consideration of all possible sources of information.\
\
\
No attempt to identify individual patients should\
be undertaken. No one is authorized to attempt to identify patients \
by any means.\
\
\
\
\
\
\
\
The Clinical Genome Resource (ClinGen)\
is a National Institutes of Health (NIH)-funded program dedicated to building a genomic\
knowledge base to improve patient care. \
This will be accomplished by harnessing the data from both research efforts and clinical genetic\
testing, and using it to propel expert and machine-driven curation activities. \
By facilitating collaboration within the genomics community,\
we will all better understand the relationship between genomic variation and human health. \
ClinGen will work closely with the National\
Center for Biotechnology Information (NCBI) of the National Library of Medicine (NLM), \
which will distribute this information through its\
ClinVar database.\
\
\
\
The ClinGen dataset displays clinical microarray data submitted to dbGaP/dbVar at NCBI\
by ClinGen member laboratories (dbVar study\
nstd37),\
as well as clinical data reported in Kaminsky et al., 2011 (dbVar study\
ntsd101)\
(see reference below). This track shows copy number variants (CNVs) found in patients referred\
for genetic testing for indications such as intellectual disability, developmental delay,\
autism and congenital anomalies. Additionally, the ClinGen "Curated Pathogenic" and\
"Curated Benign" tracks represent genes/genomic regions reviewed for dosage sensitivity\
in an evidence-based manner by the ClinGen Structural Variation Working Group (dbVar study\
nstd45).\
\
\
The CNVs in this study have been reviewed for their clinical significance by\
the submitting ClinGen laboratory. Some of the deletions and duplications in the track\
have been reported as causative for a phenotype by the submitting clinical \
laboratory; this information was based on current knowledge at the time of submission.\
However, it should be noted that phenotype information is often vague and imprecise and\
should be used with caution. While all samples were submitted because of a phenotype in \
a patient, only 15% of patients had variants determined to be causal, \
and most patients will have additional variants that are not causal.\
\
\
CNVs are separated into subtracks and are labeled as:\
\
Pathogenic
\
Uncertain: Likely Pathogenic
\
Uncertain
\
Uncertain: Likely Benign
\
Benign
\
\
The user should be aware that some of the data were submitted using a 3-class\
system, with the two "Likely" categories omitted. \
\
\
Two subtracks, "Path Gain" and "Path Loss", are aggregate tracks\
showing graphically the accumulated level of gains and losses in the \
Pathogenic subtrack across the genome. Similarly, "Benign Gain" and\
"Benign Loss" show the accumulated level of gains and losses in the\
Benign subtrack. These tracks are collectively called "Coverage"\
tracks.\
\
\
Many samples have multiple variants, not all of which are causative \
of the phenotype. The CNVs in these samples have been decoupled, so it is not\
possible to connect multiple imbalances as coming from a single patient.\
It is therefore not possible to identify individuals via their genotype. \
\
\
\
Methods and Color Convention
\
\
The samples were analyzed by arrays from patients referred for \
cytogenetic testing due to clinical phenotypes. Samples were analyzed with a \
probe spacing of 20-75 kb. The minimum CNV breakpoints are shown; if available,\
the maximum CNV breakpoints are provided in the details page, but are not shown \
graphically on the Browser image.\
\
\
Data were submitted to \
dbGaP at NCBI and thence decoupled as described into\
dbVar for unrestricted release.\
\
\
\
The entries are colored red for loss and \
blue for gain. The names of items use the \
ClinVar convention of appending "_inheritance" indicating the mechanism of \
inheritance, if known: "_pat, _mat, _dnovo, _unk" as paternal, maternal, \
de novo and unknown, respectively. \
\
\
Verification
\
\
Most data were validated by the submitting laboratory using various methods, \
including FISH, G-banded karyotype, MLPA and qPCR.\
\
\
Credits
\
\
Thank you to ClinGen and NCBI for technical coordination and consultation, and to\
the UCSC Genome Browser staff for engineering the track display.\
\
phenDis 1 compositeTrack on\
dimensions dimensionY=class dimensionX=level\
group phenDis\
longLabel Clinical Genome Resource (ClinGen) CNVs\
pennantIcon snowflake.png /goldenPath/newsarch.html#093020b "ClinGen CNV data are now updated on ClinVar Variants track. See news archive for details."\
shortLabel ClinGen CNVs\
sortOrder class=+ level=+ view=+\
subGroup1 view Views cov=Coverage cnv=CNVs dose=Dose\
subGroup2 class Class path=Pathogenic likP=Likely_Pathogenic unc=Uncertain likB=Likely_Benign ben=Benign\
subGroup3 level Evidence cur=Curated sub=Submitted\
track iscaComposite\
type bed 3\
visibility hide\
clinvarSubLolly ClinVar interp bigLolly ClinVar SNVs submitted interpretations and evidence 0 100 0 0 0 127 127 127 0 0 0 phenDis 1 bigDataUrl /gbdb/hg19/clinvarSubLolly/clinvarSubLolly.bb\
configurable off\
group phenDis\
lollyMaxSize 10\
lollyNoStems on\
lollySizeField 10\
longLabel ClinVar SNVs submitted interpretations and evidence\
mouseOverField _mouseOver\
parent clinvar\
shortLabel ClinVar interp\
skipFields reviewStatus\
track clinvarSubLolly\
type bigLolly\
urls rcvAcc="https://www.ncbi.nlm.nih.gov/clinvar/$$/" geneId="https://www.ncbi.nlm.nih.gov/gene/$$" snpId="https://www.ncbi.nlm.nih.gov/snp/$$" nsvId="https://www.ncbi.nlm.nih.gov/dbvar/variants/$$/" origName="https://www.ncbi.nlm.nih.gov/clinvar/variation/$$/"\
viewLimits 0:5\
xrefDataUrl /gbdb/hg19/clinvarSubLolly/clinvarSub.bb\
yAxisLabel.0 0 on 150,150,150 OTH\
yAxisLabel.1 1 on 150,150,150 B\
yAxisLabel.2 2 on 150,150,150 LB\
yAxisLabel.3 3 on 150,150,150 VUS\
yAxisLabel.4 4 on 150,150,150 LP\
yAxisLabel.5 5 on 150,150,150 P\
yAxisNumLabels off\
clinvar ClinVar Variants bed 12 + ClinVar Variants 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
NOTE: \
ClinVar is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the ClinVar database is\
open to all academic users, users seeking information about a personal medical\
or genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions.
\
\
\
\
These tracks show the genomic positions of variants in the\
ClinVar database. \
ClinVar is a free, public archive of reports\
of the relationships among human variations and phenotypes, with supporting\
evidence.
\
\
\
The ClinVar SNVs track displays substitutions and indels shorter than 50 bp and \
the ClinVar CNVs track displays copy number variants (CNVs) equal or larger than 50 bp.\
Until October 2017, all variants with the ClinVar types \
copy number gain/loss and DbVar "nsv" accessions were assigned in the CNV \
category. Because the ClinVar type no longer captures this information, any variation equal to or \
larger than 50 bp is now considered a CNV.\
\
\
\
The ClinVar Interpretations track displays the genomic positions of individual variant \
submissions and interpretations of the clinical significance and their relationship to disease in \
the ClinVar database.\
\
\
\
Note: The data in the track are obtained directly from ClinVar's FTP site.\
We display the data obtained from ClinVar as-is to avoid discrepancies between UCSC and NCBI. \
However, be aware that the ClinVar conventions are different from the VCF standard. \
Variants may be right-aligned or may contain additional context, e.g. for\
inserts. ExAC/gnomAD make available a converter\
to make ClinVar more comparable to VCF files.
\
\
Display Conventions and Configuration
\
\
\
Items can be filtered according to the size of the variant, variant type, clinical significance,\
allele origin, and molecular consequence, using the track Configure options.\
Each subtrack has separate display controls, as described\
here.\
\
\
\
Mouseover on the genomic locations of ClinVar variants shows variant details, clinical \
interpretation, and associated conditions. Further information on each variant is displayed on \
the details page by a click onto any variant. ClinVar is an archive for assertions of clinical \
significance made by the submitters. The level of review supporting the assertion of clinical \
significance for the variation is reported as the \
review status. \
Stars (0 to 4) provide a graphical representation of the aggregate review status. \
\
\
\
Entries in the ClinVar CNVs track are colored by type of variant, among others:\
\
red for loss
\
blue for gain
\
purple for inversion
\
orange for insertion
\
\
A light-to-dark color gradient indicates the clinical significance of each variant, with the \
lightest shade being benign, to the darkest shade being pathogenic. Detailed information on the \
CNV color code is described \
here. \
\
\
\
Entries in the ClinVar SNVs and ClinVar Interpretations tracks are colored by clinical \
significance:\
\
red for pathogenic
\
dark blue for variant of uncertain significance
\
green for benign
\
dark grey for not provided
\
light blue for conflicting
\
\
\
\
\
The variants in the ClinVar Interpretations track are sorted by the variant \
classification of each submission:\
\
P: Pathogenic
\
LP: Likely Pathogenic
\
VUS: Variant of Unknown Significance
\
LB: Likely Benign
\
B: Benign
\
OTH: Others
\
\
The size of the bead represents \
the number of submissions at that genomic position. For track display clarity, these submission\
numbers are binned into three categories:\
\
Small-sized beads: 1-2 submissions
\
Medium-sized beads: 3-7 submissions
\
Large-sized beads: 8 or more submissions
\
\
Hovering on the track items shows the genomic variations which start at that position \
and the number of individual submissions with that classification. The details page lists all\
rated submissions from ClinVar, with specific details to the interpretation of the clinical or \
functional significance of each variant in relation to a condition. Interpretation is at \
variant-level, not at case (or patient-specific) level.\
\
\
\
More information about using and understanding the ClinVar data can be found \
here.\
\
\
\
For the human genome version hg19: the hg19 genome released by UCSC in 2009 had a \
mitochondrial genome "chrM" that was not the same as the one later used for most\
databases like ClinVar. As a result, we added the official mitochondrial genome\
in 2020 as "chrMT" and all mitochondrial annotations of ClinVar and most other\
databases are shown on the mitochondrial genome called "chrMT". For full description\
of the issue of the mitochondrial genome in hg19, please see the \
README file \
on our download site. \
\
\
\
Data updates
\
ClinVar publishes a new release on the \
first Thursday every month. \
This track is then updated automatically at most six days \
later. The exact date of our last update is shown when you click onto any variant. \
You can find the previous versions of the track organized by month on our\
downloads server in the \
archive\
directory. To display one of these previous versions, paste the URL to one of\
the older files into the custom track text input field under "My Data > Custom Tracks".
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser\
or the Data Integrator. The data can be\
accessed from scripts through our API, the track names are\
"clinVarMain and "clinVarCnv".\
\
\
For automated download and analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from\
our download server.\
The files for this track are called clinVarMain.bb and clinVarCnv.bb. Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool\
can also be used to obtain only features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/bbi/clinvar/clinvarMain.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
\
Methods
\
\
\
ClinVar files were reformatted at UCSC to the bigBed format.\
The data is updated every month, one week after the ClinVar release date.\
The program that performs the update is available on\
Github.\
\
\
Credits
\
\
Thanks to NCBI for making the ClinVar data available on their FTP site as a tab-separated file.\
\
The "Constraint scores" container track includes several subtracks showing the results of\
constraint prediction algorithms. These try to find regions of negative\
selection, where variations likely have functional impact. The algorithms do\
not use multi-species alignments to derive evolutionary constraint, but use\
primarily human variation, usually from variants collected by gnomAD (see the\
gnomAD V2 or V3 tracks on hg19 and hg38) or TOPMED (contained in our dbSNP\
tracks and available as a filter). One of the subtracks is based on UK Biobank\
variants, which are not available publicly, so we have no track with the raw data.\
The number of human genomes that are used as the input for these scores are\
76k, 53k and 110k for gnomAD, TOPMED and UK Biobank, respectively.\
\
\
Note that another important constraint score, gnomAD\
constraint, is not part of this container track but can be found in the hg38 gnomAD\
track.\
\
\
The algorithms included in this track are:\
\
\
JARVIS - "Junk" Annotation genome-wide Residual Variation Intolerance Score: \
JARVIS scores were created by first scanning the entire genome with a\
sliding-window approach (using a 1-nucleotide step), recording the number of\
all TOPMED variants and common variants, irrespective of their predicted effect,\
within each window, to eventually calculate a single-nucleotide resolution\
genome-wide residual variation intolerance score (gwRVIS). That score, gwRVIS\
was then combined with primary genomic sequence context, and additional genomic\
annotations with a multi-module deep learning framework to infer\
pathogenicity of noncoding regions that still remains naive to existing\
phylogenetic conservation metrics. The higher the score, the more deleterious\
the prediction. This score covers the entire genome, except the gaps.\
\
\
HMC - Homologous Missense Constraint:\
Homologous Missense Constraint (HMC) is a amino acid level measure\
of genetic intolerance of missense variants within human populations.\
For all assessable amino-acid positions in Pfam domains, the number of\
missense substitutions directly observed in gnomAD (Observed) was counted\
and compared to the expected value under a neutral evolution\
model (Expected). The upper limit of a 95% confidence interval for the\
Observed/Expected ratio is defined as the HMC score. Missense variants\
disrupting the amino-acid positions with HMC<0.8 are predicted to be\
likely deleterious. This score only covers PFAM domains within coding regions.\
\
\
MetaDome - Tolerance Landscape Score (hg19 only):\
MetaDome Tolerance Landscape scores are computed as a missense over synonymous \
variant count ratio, which is calculated in a sliding window (with a size of 21 \
codons/residues) to provide \
a per-position indication of regional tolerance to missense variation. The \
variant database was gnomAD and the score corrected for codon composition. Scores \
<0.7 are considered intolerant. This score covers only coding regions.\
\
\
MTR - Missense Tolerance Ratio (hg19 only):\
Missense Tolerance Ratio (MTR) scores aim to quantify the amount of purifying \
selection acting specifically on missense variants in a given window of \
protein-coding sequence. It is estimated across sliding windows of 31 codons \
(default) and uses observed standing variation data from the WES component of \
gnomAD / the Exome Aggregation Consortium Database (ExAC), version 2.0. Scores\
were computed using Ensembl v95 release. The number of gnomAD 2 exomes used here\
is higher than the number of gnomAD 3 samples (125 exoms versus 76k full genomes), \
but this score only covers coding regions.\
\
\
UK Biobank depletion rank score (hg38 only):\
Halldorsson et al. tabulated the number of UK Biobank variants in each\
500bp window of the genome and compared this number to an expected number\
given the heptamer nucleotide composition of the window and the fraction of\
heptamers with a sequence variant across the genome and their mutational\
classes. A variant depletion score was computed for every overlapping set\
of 500-bp windows in the genome with a 50-bp step size. They then assigned\
a rank (depletion rank (DR)) from 0 (most depletion) to 100 (least\
depletion) for each 500-bp window. Since the windows are overlapping, we\
plot the value only in the central 50bp of the 500bp window, following\
advice from the author of the score,\
Hakon Jonsson, deCODE Genetics. He suggested that the value of the central\
window, rather than the worst possible score of all overlapping windows, is\
the most informative for a position. This score covers almost the entire genome,\
only very few regions were excluded, where the genome sequence had too many gap characters.
\
\
Display Conventions and Configuration
\
\
JARVIS
\
\
JARVIS scores are shown as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The scores were downloaded and converted to a single bigWig file.\
Move the mouse over the bars to display the exact values. A horizontal line is shown at the 0.733\
value which signifies the 90th percentile.
\
Interpretation: The authors offer a suggested guideline of > 0.9998 for identifying\
higher confidence calls and minimizing false positives. In addition to that strict threshold, the \
following two more relaxed cutoffs can be used to explore additional hits. Note that these\
thresholds are offered as guidelines and are not necessarily representative of pathogenicity.
\
\
\
\
\
Percentile
JARVIS score threshold
\
\
99th
0.9998
\
\
95th
0.9826
\
\
90th
0.7338
\
\
\
\
HMC
\
\
HMC scores are displayed as a signal ("wiggle") track, with one score per genome position.\
Mousing over the bars displays the exact values. The highly-constrained cutoff\
of 0.8 is indicated with a line.
\
\
Interpretation: \
A protein residue with HMC score <1 indicates that missense variants affecting\
the homologous residues are significantly under negative selection (P-value <\
0.05) and likely to be deleterious. A more stringent score threshold of HMC<0.8\
is recommended to prioritize predicted disease-associated variants.\
\
\
MetaDome
\
\
MetaDome data can be found on two tracks, MetaDome and MetaDome All Data.\
The MetaDome track should be used by default for data exploration. In this track\
the raw data containing the MetaDome tolerance scores were converted into a signal ("wiggle")\
track. Since this data was computed on the proteome, there was a small amount of coordinate\
overlap, roughly 0.42%. In these regions the lowest possible score was chosen for display\
in the track to maintain sensitivity. For this reason, if a protein variant is being evaluated,\
the MetaDome All Data track can be used to validate the score. More information\
on this data can be found in the MetaDome FAQ.\
\
Interpretation: The authors suggest the following guidelines for evaluating\
intolerance. By default, the MetaDome track displays a horizontal line at 0.7 which \
signifies the first intolerant bin. For more information see the MetaDome publication.
\
\
\
\
\
Classification
MetaDome Tolerance Score
\
\
Highly intolerant
≤ 0.175
\
\
Intolerant
≤ 0.525
\
\
Slightly intolerant
≤ 0.7
\
\
\
\
MTR
\
\
MTR data can be found on two tracks, MTR All data and MTR Scores. In the\
MTR Scores track the data has been converted into 4 separate signal tracks\
representing each base pair mutation, with the lowest possible score shown when\
multiple transcripts overlap at a position. Overlaps can happen since this score\
is derived from transcripts and multiple transcripts can overlap. \
A horizontal line is drawn on the 0.8 score line\
to roughly represent the 25th percentile, meaning the items below may be of particular\
interest. It is recommended that the data be explored using\
this version of the track, as it condenses the information substantially while\
retaining the magnitude of the data.
\
\
Any specific point mutations of interest can then be researched in the \
MTR All data track. This track contains all of the information from\
\
MTRV2 including more than 3 possible scores per base when transcripts overlap.\
A mouse-over on this track shows the ref and alt allele, as well as the MTR score\
and the MTR score percentile. Filters are available for MTR score, False Discovery Rate\
(FDR), MTR percentile, and variant consequence. By default, only items in the bottom\
25 percentile are shown. Items in the track are colored according\
to their MTR percentile:
\
\
Green items MTR percentiles over 75\
Black items MTR percentiles between 25 and 75\
Red items MTR percentiles below 25\
Blue items No MTR score\
\
\
Interpretation: Regions with low MTR scores were seen to be enriched with\
pathogenic variants. For example, ClinVar pathogenic variants were seen to\
have an average score of 0.77 whereas ClinVar benign variants had an average score\
of 0.92. Further validation using the FATHMM cancer-associated training dataset saw\
that scores less than 0.5 contained 8.6% of the pathogenic variants while only containing\
0.9% of neutral variants. In summary, lower scores are more likely to represent\
pathogenic variants whereas higher scores could be pathogenic, but have a higher chance\
to be a false positive. For more information see the MTR-Viewer publication.
\
\
Methods
\
\
JARVIS
\
\
Scores were downloaded and converted to a single bigWig file. See the\
hg19 makeDoc and the\
hg38 makeDoc for more info.\
\
\
HMC
\
\
Scores were downloaded and converted to .bedGraph files with a custom Python \
script. The bedGraph files were then converted to bigWig files, as documented in our \
makeDoc hg19 build log.
\
\
MetaDome
\
\
The authors provided a bed file containing codon coordinates along with the scores. \
This file was parsed with a python script to create the two tracks. For the first track\
the scores were aggregated for each coordinate, then the lowest score chosen for any\
overlaps and the result written out to bedGraph format. The file was then converted\
to bigWig with the bedGraphToBigWig utility. For the second track the file\
was reorganized into a bed 4+3 and conveted to bigBed with the bedToBigBed\
utility.
\
\
See the hg19 makeDoc for details including the build script.
\
\
The raw MetaDome data can also be accessed via their Zenodo handle.
\
\
MTR
\
\
V2\
file was downloaded and columns were reshuffled as well as itemRgb added for the\
MTR All data track. For the MTR Scores track the file was parsed with a python\
script to pull out the highest possible MTR score for each of the 3 possible mutations\
at each base pair and 4 tracks built out of these values representing each mutation.
\
\
See the hg19 makeDoc entry on MTR for more info.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
\
Credits
\
\
\
Thanks to Jean-Madeleine Desainteagathe (APHP Paris, France) for suggesting the JARVIS, MTR, HMC tracks. Thanks to Xialei Zhang for providing the HMC data file and to Dimitrios Vitsios and Slave Petrovski for helping clean up the hg38 JARVIS files for providing guidance on interpretation. Additional\
thanks to Laurens van de Wiel for providing the MetaDome data as well as guidance on the track development and interpretation. \
\
\
phenDis 1 group phenDis\
longLabel Human constraint scores\
shortLabel Constraint scores\
superTrack on hide\
track constraintSuper\
type bed\
visibility hide\
wgEncodeCshlLongRnaSeqViewContigs Contigs bed 3 Long RNA-seq from ENCODE/Cold Spring Harbor Lab 3 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel Long RNA-seq from ENCODE/Cold Spring Harbor Lab\
parent wgEncodeCshlLongRnaSeq\
shortLabel Contigs\
track wgEncodeCshlLongRnaSeqViewContigs\
view Contigs\
visibility pack\
coriellDelDup Coriell CNVs bed 9 + Coriell Cell Line Copy Number Variants 0 100 0 0 0 127 127 127 0 0 0 http://ccr.coriell.org/Sections/Search/Search.aspx?q=$$
Description
\
\
The Coriell Cell Line Copy Number Variants track displays\
copy-number variants (CNVs) in chromosomal aberration and inherited disorder\
cell lines in the NIGMS Human Genetic Cell Repository. The Repository,\
sponsored by the National Institute of General Medical Sciences, provides\
scientists around the world with resources for cell and genetic research.\
The samples include highly characterized cell lines and high quality DNA.\
NIGMS Repository samples represent a variety of disease states, chromosomal\
abnormalities, apparently healthy individuals and many distinct human\
populations.\
\
\
\
Approximately 1000 samples from the Chromosomal Aberrations and Heritable\
Diseases collections of the NIGMS Repository were genotyped on the Affymetrix\
Genome-Wide Human SNP 6.0 Array and analyzed for CNVs at the Coriell Institute\
for Medical Research. Genotyping data for many of these samples is available\
through dbGaP.\
\
\
\
The genotyped samples represent a diverse set of copy-number variants. The\
selection was weighted to over-sample commonly manifested types of aberrations.\
Karyotyping was performed on all NIGMS Repository cell lines that were\
submitted with reported chromosome abnormalities. When available, the ISCN\
description of the sample, based on G-banding and FISH analysis, is included\
in the phenotypic data. Karyotypes for these cells can be viewed in the\
online Repository catalog.\
\
\
\
Field definitions for an item description:\
\
CN State: Copy Number of the imbalance. Note that all CNVs with\
a copy number of 2 are colored neutral (black) and occur on the sex\
chromosomes, where a CN State of 2 should not be interpreted\
as normal, as it would be on an autosome.
\
Cell Type: Type of cell culture; one of the following:\
B Lymphocyte, Fibroblast, Amniotic fluid-derived cell line or\
Chorionic villus-derived cell line.
\
Description (Diagnosis): May be a medical diagnosis,\
such as "albinism" or a chromosomal phenotype, such as\
"translocation" or other description.
\
ISCN nomenclature: A description of the chromosomal\
karyotype in formal ISCN nomenclature.
\
\
\
\
CN State item coloring:\
\
CN State 0 == score 0
\
CN State 1 == score 100
\
CN State 2 == score 200
\
CN State 3 == score 300
\
CN State 4 == score 400
\
\
\
Use the score filter limits on the configuration page\
to select desired CN States.\
\
\
\
phenDis 1 exonArrows off\
group phenDis\
itemRgb on\
longLabel Coriell Cell Line Copy Number Variants\
scoreFilterByRange on\
shortLabel Coriell CNVs\
track coriellDelDup\
type bed 9 +\
url http://ccr.coriell.org/Sections/Search/Search.aspx?q=$$\
urlLabel Coriell details:\
visibility hide\
cosmicRegions COSMIC Regions bigBed 8 + Catalogue of Somatic Mutations in Cancer V82 0 100 200 0 0 227 127 127 0 0 0 http://cancer.sanger.ac.uk/cosmic/mutation/overview?id=$$
Description
\
COSMIC, \
the "Catalogue Of Somatic Mutations In Cancer," is an online database of somatic mutations found in \
human cancer. Focused exclusively on non-inherited acquired mutations, COSMIC combines information \
from a range of sources, curating the described relationships between cancer phenotypes and gene \
(and genomic) mutations. These data are then made available in a number of ways including here in the \
UCSC genome browser, on the COSMIC website with custom analytical tools, or via the\
COSMIC sftp server.\
Publications using COSMIC as a data source may cite our reference below.
\
\
Methods
\
\
The data in COSMIC are curated from a number of high-quality sources and combined into a single\
resource. The sources include:
Information on known cancer genes, selected from the \
Cancer Gene Census is curated manually to maximize its descriptive content. \
\
\
The data was downloaded from the COSMIC sftp server. It was first converted to a bed file using\
the UCSC utility cosmicToBed, then converted into a bigBed file using the UCSC utility bedToBigBed.\
The bigBed file is used to generate the track. \
\
\
Display
\
\
Dense - Indicate the positions where COSMIC mutations have been annotated in a single horizontal\
track.
\
Squish - Indicate each mutation, in vertical pileups where appropriate, while minimizing \
screen space used.
\
Pack - Indicate each mutation with COSMIC identifier (COSMnnnnn).
\
Full - Show each mutation in detail, one per line, with COSM identifier (COSMnnnnn).
\
\
\
Data Access
\
\
Due to licensed material, we do not allow downloads or Table Browser access for the bigBed data. The\
raw data underlying this track can be explored and downloaded via the COSMIC \
website. The\
CosmicMutantExport.tsv.gz file was converted to a BED file using the cosmicToBed\
utility, and then converted into a bigBed file using the bedToBigBed utility. You can\
download these tools from the\
utilities directory.\
\
\
Contacts
\
For further information on COSMIC, or for help with the information provided, please contact\
\
cosmic@sanger.\
ac.\
uk.\
CpG islands are associated with genes, particularly housekeeping\
genes, in vertebrates. CpG islands are typically common near\
transcription start sites and may be associated with promoter\
regions. Normally a C (cytosine) base followed immediately by a \
G (guanine) base (a CpG) is rare in\
vertebrate DNA because the Cs in such an arrangement tend to be\
methylated. This methylation helps distinguish the newly synthesized\
DNA strand from the parent strand, which aids in the final stages of\
DNA proofreading after duplication. However, over evolutionary time,\
methylated Cs tend to turn into Ts because of spontaneous\
deamination. The result is that CpGs are relatively rare unless\
there is selective pressure to keep them or a region is not methylated\
for some other reason, perhaps having to do with the regulation of gene\
expression. CpG islands are regions where CpGs are present at\
significantly higher levels than is typical for the genome as a whole.
\
\
\
The unmasked version of the track displays potential CpG islands\
that exist in repeat regions and would otherwise not be visible\
in the repeat masked version.\
\
\
\
By default, only the masked version of the track is displayed. To view the\
unmasked version, change the visibility settings in the track controls at\
the top of this page.\
\
\
Methods
\
\
CpG islands were predicted by searching the sequence one base at a\
time, scoring each dinucleotide (+17 for CG and -1 for others) and\
identifying maximally scoring segments. Each segment was then\
evaluated for the following criteria:\
\
\
\
GC content of 50% or greater
\
\
length greater than 200 bp
\
\
ratio greater than 0.6 of observed number of CG dinucleotides to the expected number on the \
\ basis of the number of Gs and Cs in the segment
\
\
\
\
The entire genome sequence, masking areas included, was\
used for the construction of the track Unmasked CpG.\
The track CpG Islands is constructed on the sequence after\
all masked sequence is removed.\
\
\
The CpG count is the number of CG dinucleotides in the island. \
The Percentage CpG is the ratio of CpG nucleotide bases\
(twice the CpG count) to the length. The ratio of observed to expected \
CpG is calculated according to the formula (cited in \
Gardiner-Garden et al. (1987)):\
\
Obs/Exp CpG = Number of CpG * N / (Number of C * Number of G)
\
\
where N = length of sequence.\
\
The calculation of the track data is performed by the following command sequence:\
\
The unmasked track data is constructed from\
twoBitToFa -noMask output for the twoBitToFa command.\
\
\
Data access
\
\
CpG islands and its associated tables can be explored interactively using the\
REST API, the\
Table Browser or the\
Data Integrator.\
All the tables can also be queried directly from our public MySQL\
servers, with more information available on our\
help page as well as on\
our blog.
\
regulation 1 altColor 128,228,128\
color 0,100,0\
group regulation\
html cpgIslandSuper\
longLabel CpG Islands (Islands < 300 Bases are Light Green)\
shortLabel CpG Islands\
superTrack on\
track cpgIslandSuper\
type bed 4 +\
ucsfBrainMethylViewCG CpG score bed 3 UCSF Brain DNA Methylation 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel UCSF Brain DNA Methylation\
maxLimit 1000\
minLimit 0\
parent ucsfBrainMethyl\
shortLabel CpG score\
track ucsfBrainMethylViewCG\
view CG\
viewLimits 0:100\
visibility full\
wgEncodeMapabilityViewCRGMAP CRG GEM Alignability bed 3 Mappability or Uniqueness of Reference Genome from ENCODE 0 100 0 0 0 127 127 127 0 0 0 map 1 autoScale off\
canPack On\
longLabel Mappability or Uniqueness of Reference Genome from ENCODE\
maxHeightPixels 100:32:16\
parent wgEncodeMapability\
shortLabel CRG GEM Alignability\
track wgEncodeMapabilityViewCRGMAP\
view CRGMAP\
viewLimits 0:1\
visibility hide\
windowingFunction mean+whiskers\
crisprAllTargets CRISPR Targets bigBed 9 + CRISPR/Cas9 -NGG Targets, whole genome 0 100 0 0 0 127 127 127 0 0 0 http://crispor.tefor.net/crispor.py?org=$D&pos=$S:${&pam=NGG
Description
\
\
\
This track shows the DNA sequences targetable by CRISPR RNA guides using\
the Cas9 enzyme from S. pyogenes (PAM: NGG) over the entire\
human (hg19) genome. CRISPR target sites were annotated with\
predicted specificity (off-target effects) and predicted efficiency\
(on-target cleavage) by various\
algorithms through the tool CRISPOR. Sp-Cas9 usually cuts double-stranded DNA three or \
four base pairs 5' of the PAM site.\
\
\
Display Conventions and Configuration
\
\
\
The track "CRISPR Targets" shows all potential -NGG target sites across the genome.\
The target sequence of the guide is shown with a thick (exon) bar. The PAM\
motif match (NGG) is shown with a thinner bar. Guides\
are colored to reflect both predicted specificity and efficiency. Specificity\
reflects the "uniqueness" of a 20mer sequence in the genome; the less unique a\
sequence is, the more likely it is to cleave other locations of the genome\
(off-target effects). Efficiency is the frequency of cleavage at the target\
site (on-target efficiency).
\
\
Shades of gray stand for sites that are hard to target specifically, as the\
20mer is not very unique in the genome:
\
\
impossible to target: target site has at least one identical copy in the genome and was not scored
\
hard to target: many similar sequences in the genome that alignment stopped, repeat?
\
hard to target: target site was aligned but results in a low specificity score <= 50 (see below)
\
\
\
Colors highlight targets that are specific in the genome (MIT specificity > 50) but have different predicted efficiencies:
\
\
unable to calculate Doench/Fusi 2016 efficiency score
medium predicted cleavage: Doench/Fusi 2016 Efficiency percentile > 30 and < 55
\
high predicted cleavage: Doench/Fusi 2016 Efficiency > 55
\
\
\
\
Mouse-over a target site to show predicted specificity and efficiency scores: \
\
The MIT Specificity score summarizes all off-targets into a single number from\
0-100. The higher the number, the fewer off-target effects are expected. We\
recommend guides with an MIT specificity > 50.
\
The efficiency score tries to predict if a guide leads to rather strong or\
weak cleavage. According to (Haeussler et al. 2016), the \
Doench 2016 Efficiency score should be used to select the guide with the highest\
cleavage efficiency when expressing guides from RNA PolIII Promoters such as\
U6. Scores are given as percentiles, e.g. "70%" means that 70% of mammalian\
guides have a score equal or lower than this guide. The raw score number is\
also shown in parentheses after the percentile.
\
The Moreno-Mateos 2015 Efficiency\
score should be used instead of the Doench 2016 score when transcribing the\
guide in vitro with a T7 promoter, e.g. for injections in mouse, zebrafish or\
Xenopus embryos. The Moreno-Mateos score is given in percentiles and the raw value in parentheses,\
see the note above.
\
\
\
Click onto features to show all scores and predicted off-targets with up to\
four mismatches. The Out-of-Frame score by Bae et al. 2014\
is correlated with\
the probability that mutations induced by the guide RNA will disrupt the open\
reading frame. The authors recommend out-of-frame scores > 66 to create\
knock-outs with a single guide efficiently.
\
\
Off-target sites are sorted by the CFD (Cutting Frequency Determination)\
score (Doench et al. 2016).\
The higher the CFD score, the more likely there is off-target cleavage at that site.\
Off-targets with a CFD score < 0.023 are not shown on this page, but are available when\
following the link to the external CRISPOR tool.\
When compared against experimentally validated off-targets by\
Haeussler et al. 2016, the large majority of predicted\
off-targets with CFD scores < 0.023 were false-positives. For storage and performance\
reasons, on the level of individual off-targets, only CFD scores are available.
\
\
Methods
\
\
Relationship between predictions and experimental data
\
\
\
Like most algorithms, the MIT specificity score is not always a perfect\
predictor of off-target effects. Despite low scores, many tested guides\
caused few and/or weak off-target cleavage when tested with whole-genome assays\
(Figure 2 from Haeussler\
et al. 2016), as shown below, and the published data contains few data points\
with high specificity scores. Overall though, the assays showed that the higher\
the specificity score, the lower the off-target effects.
\
\
\
\
Similarly, efficiency scoring is not very accurate: guides with low\
scores can be efficient and vice versa. As a general rule, however, the higher\
the score, the less likely that a guide is very inefficient. The\
following histograms illustrate, for each type of score, how the share of\
inefficient guides drops with increasing efficiency scores:\
\
\
\
\
When reading this plot, keep in mind that both scores were evaluated on\
their own training data. Especially for the Moreno-Mateos score, the\
results are too optimistic, due to overfitting. When evaluated on independent\
datasets, the correlation of the prediction with other assays was around 25%\
lower, see Haeussler et al. 2016. At the time of\
writing, there is no independent dataset available yet to determine the\
Moreno-Mateos accuracy for each score percentile range.
\
\
Track methods
\
\
The entire human (hg19) genome was scanned for the -NGG motif. Flanking 20mer\
guide sequences were\
aligned to the genome with BWA and scored with MIT Specificity scores using the\
command-line version of crispor.org. Non-unique guide sequences were skipped.\
Flanking sequences were extracted from the genome and input for Crispor\
efficiency scoring, available from the Crispor downloads page, which\
includes the Doench 2016, Moreno-Mateos 2015 and Bae\
2014 algorithms, among others.
\
\
Note that the Doench 2016 scores were updated by\
the Broad institute in 2017 ("Azimuth" update). As a result, earlier versions of\
the track show the old Doench 2016 scores and this version of the track shows new\
Doench 2016 scores. Old and new scores are almost identical, they are\
correlated to 0.99 and for more than 80% of the guides the difference is below 0.02.\
However, for very few guides, the difference can be bigger. In case of doubt, we recommend\
the new scores. Crispor.org can display both\
scores and many more with the "Show all scores" link.
\
\
Data Access
\
\
Positional data can be explored interactively with the \
Table\
Browser or the Data Integrator.\
For small programmatic positional queries, the track can be accessed using our \
REST API. For genome-wide data or \
automated analysis, CRISPR genome annotations can be downloaded from\
our download server\
as a bigBedFile.
\
\
The files for this track are called crispr.bb, which lists positions and\
scores, and crisprDetails.tab, which has information about off-target matches. Individual\
regions or whole genome annotations can be obtained using our tool bigBedToBed,\
which can be compiled from the source code or downloaded as a pre-compiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here. The tool\
can also be used to obtain only features within a given range, e.g.
\
genes 1 bigDataUrl /gbdb/hg19/crisprAll/crispr.bb\
denseCoverage 0\
detailsTabUrls _offset=/gbdb/$db/crisprAll/crisprDetails.tab\
group genes\
html crisprAll\
itemRgb on\
longLabel CRISPR/Cas9 -NGG Targets, whole genome\
mouseOverField _mouseOver\
noGenomeReason This track is too big for whole-genome Table Browser access, it would lead to a timeout in your internet browser. Small regional queries can work, but large regions, such as entire chromosomes, will fail. Please see the CRISPR Track documentation, the section "Data Access", for bulk-download options and remote access via the bedToBigBed tool. API access should always work. Contact us if you encounter difficulties with accessing the data.\
scoreFilterMax 100\
scoreLabel MIT Guide Specificity Score\
shortLabel CRISPR Targets\
tableBrowser tbNoGenome\
track crisprAllTargets\
type bigBed 9 +\
url http://crispor.tefor.net/crispor.py?org=$D&pos=$S:${&pam=NGG\
urlLabel Click here to show this guide on Crispor.org, with expression oligos, validation primers and more\
visibility hide\
wgEncodeCshlLongRnaSeq CSHL Long RNA-seq bed 3 Long RNA-seq from ENCODE/Cold Spring Harbor Lab 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
These tracks were generated by the \
ENCODE\
Consortium. They contain information about human RNAs greater than 200\
nucleotides in length that were obtained as short reads from the Illumina GAIIx\
platform. Data are available from biological replicates of several\
cell lines. In addition to profiling Poly-A+ and Poly-A- RNA from\
whole cells, there are also data from various subcellular\
compartments. In many cases, there are Cap Analysis of Gene\
Expression (CAGE, see the\
RIKEN CAGE Loc track),\
Small RNA-seq (less than 200 nucleotides, see the\
CSHL Sm RNA-seq track) and Pair-End\
di-TAG-RNA (PET-RNA, see the\
GIS RNA PET track) datasets available from the same biological replicates. \
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are\
here.
\
\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
\
Color differences among the views are arbitrary. They provide a\
visual cue for\
distinguishing between the different cell types and compartments.
\
\
\
Contigs\
The Contigs represent blocks of overlapping mapped reads from the pooled biological\
replicates. Specific column specifications can be found in the\
supplemental directory.\
Signals\
The Plus Signal and Minus Signal views show the density of mapped reads on the plus and minus strands (wiggle format), respectively.\
\
Alignments\
The Alignments view shows individual reads mapped from biological replicates to the genome\
and indicates where bases may mismatch. Every mapped read is displayed, i.e. uncollapsed.\
The alignment file follows the standard SAM format. See the\
SAM Format Specification\
for more information on the SAM/BAM file format. \
\
Splice Junctions\
Subset of aligned reads that cross splice junctions. Specific column specifications can be found in the supplemental directory.\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
\
\
Additional views are available on the downloads page. \
The published \
\
cDNA sequencing protocol was used. This protocol generates directional libraries\
and reports the transcripts' strand of origin. Exogenous RNA spike-ins\
were added to each endogenous RNA isolate and carried\
through library construction and sequencing. The Illumina PhiX\
control library was also spiked-in at 1% to each completed human\
library just prior to cluster formation.\
Accompanying each RNA-seq dataset is a\
Protocol document available for download as a PDF. This document contains details\
about the RNA isolations and treatments, library construction,\
spike-ins as well as quality control figures for individual libraries. \
The spike-in sequence and the concentrations are available for download\
in the supplemental directory.\
\
\
Sequencing and Mapping
\
The libraries were sequenced on the Illumina GAIIx platform\
as paired-ends for 76 or 101 cycles for each read.\
The average depth of sequencing was ~200 million reads \
(100 million paired-ends). \
The data were mapped against hg19 using Spliced Transcript Alignment\
and Reconstruction (STAR) written by Alex Dobin (CSHL). More\
information about STAR, including the parameters used for these data,\
is available from the\
Gingeras lab.\
\
\
\
For each experiment there are additional \
element data views\
data files available for download.\
These elements were assessed for reproducibility using a nonparametric \
irreproducible detection (IDR) rate script. The IDR values for each element\
are included in the files for end-users to use as a threshold. An IDR value of 0.1 means\
that the probability of detecting that element in a third experiment equivalent \
in depth to the sum of the bioreplicates is 90%. In addition,\
expression values for annotated genes, transcripts and exons were computed. Further explanation of these \
files is available for download in the\
supplemental directory.\
\
\
Verification
\
\
\
FPKM (fragments per kilobase of exon per million fragments mapped) values were calculated \
for annotated Gencode exons and Spearman values were compared. \
In general, Rho values are greater than .90 between biological replicates. \
\
\
Release Notes
\
\
\
This is release 3 (Sept 2012) of this track for hg19. It has no new experiments, but has \
additional files for many experiments. The hMNC-CB experiment has been revoked. The\
doubly compressed spike-ins files have been uncompressed. \
The hMNC-PB experiment has been replaced with improved depth.\
The current downloadable elements files (Transcripts, Genes and Exons) were generated \
using GENCODE V10, while the older datasets were generated using GENCODE V7. \
The "view" metadata will specify V7 or V10 for these files.\
\
\
Errata
\
\
6/6/2013 - CSHL reports that one lane of reads is missing from the SK-N-SH-RA fastq read2 file \
(wgEncodeCshlLongRnaSeqSknshraCellPapFastqRd2Rep1.fastq.gz).\
\
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
This composite track contains information about single nucleotide polymorphisms (SNPs)\
and small insertions and deletions (indels) — collectively Simple\
Nucleotide Polymorphisms — from\
dbSNP, available from\
ftp.ncbi.nih.gov/snp.\
You can click into each track for a version/subset-specific description.
\
\
This collection includes numbered versions of the entire dbSNP datasets\
(All SNP) as well as three tracks with subsets of the items in that version. \
Here is information on each of the subsets:\
\
dbSNP 153: The dbSNP build 153 is composed of 5 subtracks. Click the track for\
a description of the subtracks.
\
Common SNPs: SNPs that have a minor allele frequency\
of at least 1% and are mapped to a single location in the reference\
genome assembly. Frequency data are not available for all SNPs,\
so this subset is incomplete.
\
Flagged SNPs: SNPs flagged as clinically associated by dbSNP, \
mapped to a single location in the reference genome assembly, and \
not known to have a minor allele frequency of at least 1%.\
Frequency data are not available for all SNPs, so this subset may\
include some SNPs whose true minor allele frequency is 1% or greater.
\
Mult. SNPs: SNPs that have been mapped to multiple locations\
in the reference genome assembly.
\
\
\
\
The default maximum weight for this track is 1, so unless\
the setting is changed in the track controls, SNPs that map to multiple genomic \
locations will be omitted from display. When a SNP's flanking sequences \
map to multiple locations in the reference genome, it calls into question \
whether there is true variation at those sites, or whether the sequences\
at those sites are merely highly similar but not identical.\
\
\
Interpreting and Configuring the Graphical Display
\
\
Variants are shown as single tick marks at most zoom levels.\
When viewing the track at or near base-level resolution, the displayed\
width of the SNP corresponds to the width of the variant in the reference\
sequence. Insertions are indicated by a single tick mark displayed between\
two nucleotides, single nucleotide polymorphisms are displayed as the width \
of a single base, and multiple nucleotide variants are represented by a \
block that spans two or more bases.\
\
\
\
On the track controls page, SNPs can be colored and/or filtered from the \
display according to several attributes:\
\
\
\
\
\
Class: Describes the observed alleles \
\
Single - single nucleotide variation: all observed alleles are single nucleotides\
\ (can have 2, 3 or 4 alleles)
Microsatellite - the observed allele from dbSNP is a variation in counts of short tandem repeats
\
Named - the observed allele from dbSNP is given as a text name instead of raw sequence, e.g., (Alu)/-
\
No Variation - the submission reports an invariant region in the surveyed sequence
\
Mixed - the cluster contains submissions from multiple classes
\
Multiple Nucleotide Polymorphism (MNP) - the alleles are all of the same length, and length > 1
\
Insertion - the polymorphism is an insertion relative to the reference assembly
\
Deletion - the polymorphism is a deletion relative to the reference assembly
\
Unknown - no classification provided by data contributor
\
\
\
\
\
\
\
Validation: Method used to validate\
\ the variant (each variant may be validated by more than one method) \
\
By Frequency - at least one submitted SNP in cluster has frequency data submitted
\
By Cluster - cluster has at least 2 submissions, with at least one submission assayed with a non-computational method
\
By Submitter - at least one submitter SNP in cluster was validated by independent assay
\
By 2 Hit/2 Allele - all alleles have been observed in at least 2 chromosomes
\
By HapMap (human only) - submitted by\
HapMap project
\
By 1000Genomes (human only) - submitted by\
\ 1000Genomes project
\
Unknown - no validation has been reported for this variant
\
\
\
\
\
Function: dbSNP's predicted functional effect of variant on RefSeq transcripts,\
both curated (NM_* and NR_*) as in the RefSeq Genes track and predicted (XM_* and XR_*),\
not shown in UCSC Genome Browser.\
A variant may have more than one functional role if it overlaps\
multiple transcripts.\
These terms and definitions are from the Sequence Ontology (SO); click on a term to view it in the\
MISO Sequence Ontology Browser. \
\
Unknown - no functional classification provided (possibly intergenic)
\
synonymous_variant -\
\ A sequence variant where there is no resulting change to the encoded amino acid\
\ (dbSNP term: coding-synon)
\
intron_variant -\
\ A transcript variant occurring within an intron\
\ (dbSNP term: intron)
\
downstream_gene_variant -\
\ A sequence variant located 3' of a gene\
\ (dbSNP term: near-gene-3)
\
upstream_gene_variant -\
\ A sequence variant located 5' of a gene\
\ (dbSNP term: near-gene-5)
\
nc_transcript_variant -\
\ A transcript variant of a non coding RNA gene\
\ (dbSNP term: ncRNA)
\
\
stop_gained -\
\ A sequence variant whereby at least one base of a codon is changed, resulting in\
\ a premature stop codon, leading to a shortened transcript\
\ (dbSNP term: nonsense)
\
missense_variant -\
\ A sequence variant, where the change may be longer than 3 bases, and at least\
\ one base of a codon is changed resulting in a codon that encodes for a\
\ different amino acid\
\ (dbSNP term: missense)
\
stop_lost -\
\ A sequence variant where at least one base of the terminator codon (stop)\
\ is changed, resulting in an elongated transcript\
\ (dbSNP term: stop-loss)
\
frameshift_variant -\
\ A sequence variant which causes a disruption of the translational reading frame,\
\ because the number of nucleotides inserted or deleted is not a multiple of three\
\ (dbSNP term: frameshift)
\
inframe_indel -\
\ A coding sequence variant where the change does not alter the frame\
\ of the transcript\
\ (dbSNP term: cds-indel)
\
3_prime_UTR_variant -\
\ A UTR variant of the 3' UTR\
\ (dbSNP term: untranslated-3)
\
5_prime_UTR_variant -\
\ A UTR variant of the 5' UTR\
\ (dbSNP term: untranslated-5)
\
splice_acceptor_variant -\
\ A splice variant that changes the 2 base region at the 3' end of an intron\
\ (dbSNP term: splice-3)
\
splice_donor_variant -\
\ A splice variant that changes the 2 base region at the 5' end of an intron\
\ (dbSNP term: splice-5)
\
\
In the Coloring Options section of the track controls page,\
function terms are grouped into several categories, shown here with default colors:\
\
\
Molecule Type: Sample used to find this variant \
\
Genomic - variant discovered using a genomic template
\
cDNA - variant discovered using a cDNA template
\
Unknown - sample type not known
\
\
\
\
\
Unusual Conditions (UCSC): UCSC checks for several anomalies \
that may indicate a problem with the mapping, and reports them in the \
Annotations section of the SNP details page if found:\
\
AlleleFreqSumNot1 - Allele frequencies do not sum\
to 1.0 (+-0.01). This SNP's allele frequency data are\
\ probably incomplete.
\
DuplicateObserved,\
MixedObserved - Multiple distinct insertion SNPs have \
\ been mapped to this location, with either the same inserted \
\ sequence (Duplicate) or different inserted sequence (Mixed).
\
FlankMismatchGenomeEqual,\
\ FlankMismatchGenomeLonger,\
\ FlankMismatchGenomeShorter - NCBI's alignment of\
the flanking sequences had at least one mismatch or gap\
\ near the mapped SNP position.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
MultipleAlignments - This SNP's flanking sequences \
align to more than one location in the reference assembly.
\
NamedDeletionZeroSpan - A deletion (from the\
genome) was observed but the annotation spans 0 bases.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
NamedInsertionNonzeroSpan - An insertion (into the\
genome) was observed but the annotation spans more than 0\
bases. (UCSC's re-alignment of flanking sequences to the\
genome may be informative.)
\
NonIntegerChromCount - At least one allele\
frequency corresponds to a non-integer (+-0.010000) count of\
chromosomes on which the allele was observed. The reported\
total sample count for this SNP is probably incorrect.
\
ObservedContainsIupac - At least one observed allele \
from dbSNP contains an IUPAC ambiguous base (e.g., R, Y, N).
\
ObservedMismatch - UCSC reference allele does not\
match any observed allele from dbSNP. This is tested only\
\ for SNPs whose class is single, in-del, insertion, deletion,\
\ mnp or mixed.
\
ObservedTooLong - Observed allele not given (length\
too long).
\
ObservedWrongFormat - Observed allele(s) from dbSNP\
have unexpected format for the given class.
\
RefAlleleMismatch - The reference allele from dbSNP\
does not match the UCSC reference allele, i.e., the bases in\
\ the mapped position range.
\
RefAlleleRevComp - The reference allele from dbSNP\
matches the reverse complement of the UCSC reference\
allele.
\
SingleClassLongerSpan - All observed alleles are\
single-base, but the annotation spans more than 1 base.\
(UCSC's re-alignment of flanking sequences to the genome may\
be informative.)
\
SingleClassZeroSpan - All observed alleles are\
single-base, but the annotation spans 0 bases. (UCSC's\
re-alignment of flanking sequences to the genome may be\
informative.)
\
\
Another condition, which does not necessarily imply any problem,\
is noted:\
\
SingleClassTriAllelic, SingleClassQuadAllelic - \
Class is single and three or four different bases have been\
\ observed (usually there are only two).
\
\
\
\
\
Miscellaneous Attributes (dbSNP): several properties extracted\
from dbSNP's SNP_bitfield table\
(see dbSNP_BitField_v5.pdf for details)\
\
Clinically Associated (human only) - SNP is in OMIM and/or at \
\ least one submitter is a Locus-Specific Database. This does\
\ not necessarily imply that the variant causes any disease,\
\ only that it has been observed in clinical studies.
Has Microattribution/Third-Party Annotation - At least\
\ one of the SNP's submitters studied this SNP in a biomedical\
\ setting, but is not a Locus-Specific Database or OMIM/OMIA.
\
Submitted by Locus-Specific Database - At least one of\
\ the SNP's submitters is associated with a database of variants\
\ associated with a particular gene. These variants may or may\
\ not be known to be causative.
\
MAF >= 5% in Some Population - Minor Allele Frequency is \
\ at least 5% in at least one population assayed.
\
MAF >= 5% in All Populations - Minor Allele Frequency is \
\ at least 5% in all populations assayed.
\
Genotype Conflict - Quality check: different genotypes \
\ have been submitted for the same individual.
\
Ref SNP Cluster has Non-overlapping Alleles - Quality\
\ check: this reference SNP was clustered from submitted SNPs\
\ with non-overlapping sets of observed alleles.
\
Some Assembly's Allele Does Not Match Observed - \
\ Quality check: at least one assembly mapped by dbSNP has an allele\
at the mapped position that is not present in this SNP's observed\
alleles.
\
\
\
\
Several other properties do not have coloring options, but do have \
some filtering options:\
Average heterozygosity should not exceed 0.5 for bi-allelic \
single-base substitutions.
\
\
\
\
\
Weight: Alignment quality assigned by dbSNP \
\
Weight can be 0, 1, 2, 3 or 10.
\
Weight = 1 are the highest quality alignments.
\
Weight = 0 and weight = 10 are excluded from the data set.
\
A filter on maximum weight value is supported, which defaults to 1\
on all tracks except the Mult. SNPs track, which defaults to 3.
\
\
\
\
\
Submitter handles: These are short, single-word identifiers of\
labs or consortia that submitted SNPs that were clustered into this\
reference SNP by dbSNP (e.g., 1000GENOMES, ENSEMBL, KWOK). Some SNPs\
have been observed by many different submitters, and some by only a\
single submitter (although that single submitter may have tested a\
large number of samples).\
\
\
\
AlleleFrequencies: Some submissions to dbSNP include \
allele frequencies and the study's sample size \
(i.e., the number of distinct chromosomes, which is two times the\
number of individuals assayed, a.k.a. 2N). dbSNP combines all\
available frequencies and counts from submitted SNPs that are \
clustered together into a reference SNP.\
\
\
\
\
You can configure this track such that the details page displays\
the function and coding differences relative to \
particular gene sets. Choose the gene sets from the list on the SNP \
configuration page displayed beneath this heading: On details page,\
show function and coding differences relative to. \
When one or more gene tracks are selected, the SNP details page \
lists all genes that the SNP hits (or is close to), with the same keywords \
used in the function category. The function usually \
agrees with NCBI's function, except when NCBI's functional annotation is \
relative to an XM_* predicted RefSeq (not included in the UCSC Genome \
Browser's RefSeq Genes track) and/or UCSC's functional annotation is \
relative to a transcript that is not in RefSeq.\
\
\
Insertions/Deletions
\
\
dbSNP uses a class called 'in-del'. We compare the length of the\
reference allele to the length(s) of observed alleles; if the\
reference allele is shorter than all other observed alleles, we change\
'in-del' to 'insertion'. Likewise, if the reference allele is longer\
than all other observed alleles, we change 'in-del' to 'deletion'.\
\
\
UCSC Re-alignment of flanking sequences
\
\
dbSNP determines the genomic locations of SNPs by aligning their flanking \
sequences to the genome.\
UCSC displays SNPs in the locations determined by dbSNP, but does not\
have access to the alignments on which dbSNP based its mappings.\
Instead, UCSC re-aligns the flanking sequences \
to the neighboring genomic sequence for display on SNP details pages. \
While the recomputed alignments may differ from dbSNP's alignments,\
they often are informative when UCSC has annotated an unusual condition.\
\
\
Non-repetitive genomic sequence is shown in upper case like the flanking \
sequence, and a "|" indicates each match between genomic and flanking bases.\
Repetitive genomic sequence (annotated by RepeatMasker and/or the\
Tandem Repeats Finder with period <= 12) is shown in lower case, and matching\
bases are indicated by a "+".\
\
\
Data Sources and Methods
\
\
\
The data that comprise this track were extracted from database dump files \
and headers of fasta files downloaded from NCBI. \
The database dump files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/database/\
(for human, organism_tax_id = human_9606;\
for mouse, organism_tax_id = mouse_10090).\
The fasta files were downloaded from \
ftp://ftp.ncbi.nih.gov/snp/organisms/\
organism_tax_id/rs_fasta/\
\
\
Coordinates, orientation, location type and dbSNP reference allele data\
were obtained from files like b138_SNPContigLoc.bcp.gz and \
b138_ContigInfo.bcp.gz.
\
b138_SNPMapInfo.bcp.gz provides the alignment weights.\
Functional classification was obtained from files like \
b138_SNPContigLocusId.bcp.gz. The internal database representation\
uses dbSNP's function terms, but for display in SNP details pages,\
these are translated into\
Sequence Ontology terms.
\
Validation status and heterozygosity were obtained from SNP.bcp.gz.
\
SNPAlleleFreq.bcp.gz and ../shared/Allele.bcp.gz provided allele frequencies.\
For the human assembly, allele frequencies were also taken from\
SNPAlleleFreq_TGP.bcp.gz .
\
Submitter handles were extracted from Batch.bcp.gz, SubSNP.bcp.gz and \
SNPSubSNPLink.bcp.gz.
\
SNP_bitfield.bcp.gz provided miscellaneous properties annotated by dbSNP,\
such as clinically-associated. See the document \
dbSNP_BitField_v5.pdf for details.
\
The header lines in the rs_fasta files were used for molecule type,\
class and observed polymorphism.
\
\
\
Data Access
\
\
Note: It is not recommeneded to use LiftOver to convert SNPs between assemblies,\
and more information about how to convert SNPs between assemblies can be found on the following\
FAQ entry.
\
For the human assembly, we provide a related table that contains\
orthologous alleles in the chimpanzee, orangutan and rhesus macaque\
reference genome assemblies. \
We use our liftOver utility to identify the orthologous alleles. \
The candidate human SNPs are a filtered list that meet the criteria:\
\
class = 'single'
\
mapped position in the human reference genome is one base long
\
aligned to only one location in the human reference genome
\
not aligned to a chrN_random chrom
\
biallelic (not tri- or quad-allelic)
\
\
\
In some cases the orthologous allele is unknown; these are set to 'N'.\
If a lift was not possible, we set the orthologous allele to '?' and the \
orthologous start and end position to 0 (zero).\
\
Masked FASTA Files (human assemblies only)
\
\
FASTA files that have been modified to use \
IUPAC\
ambiguous nucleotide characters at\
each base covered by a single-base substitution are available for download in the\
genome's snp*Mask folder.\
Note that only single-base substitutions (no insertions or deletions) were used\
to mask the sequence, and these were filtered to exlcude problematic SNPs.\
\
\
varRep 1 cartVersion 3\
group varRep\
html ../../dbSnpArchive\
longLabel dbSNP Track Archive\
maxWindowToDraw 10000000\
shortLabel dbSNP Archive\
superTrack on\
track dbSnpArchive\
type bed 6 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
dbVarSv dbVar Common Struct Var NCBI Curated Common Structural Variants from dbVar 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The tracks listed here contain data from the\
\
nstd186 (NCBI Curated Common Structural Variants) study. This is a collection of structural\
variants (SV) originally submitted to dbVar which are part of a study with at least 100 samples and\
have an allele frequency of >=0.01 in at least one population. The complete dataset is imported\
from these common-population studies:\
\
\
\
gnomAD Structural Variants\
(nstd166):\
Catalog of SVs detected from the sequencing of the complete genome of 10,847 unrelated\
individuals from the GnomAD v2.1 release.
\
\
1000 Genomes Consortium Phase 3 Integrated SV\
(estd219):\
Structural variants of the 1000 Genomes project Phase 3 as reported in a separate article\
specifically dedicated to the analysis of SVs. Many of these data are identical to those reported\
in the estd214 study.
\
\
DECIPHER Common CNVs\
(nstd183):\
Consensus set of common population CNVs selected from high-resolution controls sets where frequency\
information is available.\
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described\
here. Some dbVar tracks\
contain multiple subtracks, corresponding to subsets of data. If a track contains many subtracks,\
only some subtracks will be displayed by default. The user can select which subtracks are displayed\
via the display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the\
Table Browser, or the\
Data Integrator. For automated analysis,\
the data may be queried from our\
REST API. \
\
Thanks to the dbVAR team at NCBI, especially John Lopez and Timothy Hefferon for technical \
coordination and consultation, and to Christopher Lee, Anna Benet-Pages, and Daniel Schmelter of \
the Genome Browser team for engineering the track display.
\
\
varRep 0 group varRep\
html dbVarCurated\
longLabel NCBI Curated Common Structural Variants from dbVar\
shortLabel dbVar Common Struct Var\
superTrack on\
track dbVarSv\
dbVar_common dbVar Common SV bigBed 9 + . NCBI dbVar Curated Common Structural Variants 3 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track displays common copy number genomic variations from nstd186 (NCBI Curated Common\
Structural Variants), divided into subtracks according to population and source of original\
submission.\
\
\
\
This curated dataset of all structural variants in dbVar includes variants from gnomAD, 1000\
Genomes Phase 3, and DECIPHER (dbVar studies\
nstd166,\
estd219, and\
nstd183, respectively).\
\
\
\
It only includes copy number gain, copy number loss, copy number variation, duplications, and\
deletions (including mobile element deletions), that are part of a study with at least 100 samples,\
include allele frequency data, and have an allele frequency of >=0.01 in at least one population.\
\
\
\
For more information on the number of variant calls and latest statistics for nstd186 see\
Summary of nstd186\
(NCBI Curated Common Structural Variants).\
\
\
\
There are six subtracks in this track set:\
\
\
\
\
NCBI Curated Common SVs: African - \
Variants with AF >= 0.01 for \
African Population.
\
NCBI Curated Common SVs: European -\
Variants with AF >= 0.01 for \
European Population.
\
NCBI Curated Common SVs: all populations -\
Variants with AF >= 0.01 for \
Global Population.
\
NCBI Curated Common SVs: all populations from gnomAD - \
Variants with AF >= 0.01 from \
gnomAD Structural Variants.
\
NCBI Curated Common SVs: all populations from 1000 Genomes - \
Variants with AF >= 0.01 from \
1000 Genomes Consortium Phase 3 Integrated SV.
\
NCBI Curated Common SVs: all populations from DECIPHER -\
Variants with AF >= 0.01 from \
DECIPHER Consensus CNVs.
\
\
\
\
Display Conventions and Configuration
\
Items in all subtracks follow the same conventions: items are colored by variant type, and are \
based on the dbVar colors described in the \
dbVar Overview page. \
Red for copy number loss or deletion,\
blue for copy number gain or duplication, and\
violet for copy number variation. \
\
\
\
Mouseover on items indicates genes affected, size, variant type, and allele frequencies (AF). \
All tracks can be filtered according to the Variant Size and Variant Type.\
\
\
Data Access
\
The raw data can be explored interactively with the\
Table Browser, or the\
Data Integrator. For automated analysis,\
the data may be queried from our\
REST API. \
\
\
Thanks to the dbVAR team at NCBI, especially John Lopez and Timothy Hefferon for technical \
coordination and consultation, and to Christopher Lee, Anna Benet-Pages, and Daniel Schmelter, of \
the Genome Browser team for engineering the track display. \
\
Overlap in the track refers to reciprocal overlap between variants in the common\
(NCBI Curated Common Structural Variants) versus clinical (ClinVar Long Variants)\
tracks. Reciprocal overlap values can be anywhere from 10% to 100%.\
\
\
\
For more information on the number of variant calls and latest statistics for nstd186 see\
Summary of nstd186\
(NCBI Curated Common Structural Variants).\
\
\
Display Conventions and Configuration
\
\
\
Items in all subtracks follow the same conventions: items are colored by variant type, and are\
based on the dbVar colors described in the\
dbVar Overview page.\
Red for copy number loss or deletion,\
blue for copy number gain or duplication, and\
violet for copy number variation. \
\
\
\
Mouseover on items indicates genes affected, size, variant type, and allele frequencies (AF). \
All tracks can be filtered according to the variant length, variant type and \
variant overlap. This last filter defines four bins within that range from which the \
user can choose.\
\
\
\
Data Access
\
The raw data can be explored interactively with the\
Table Browser, or the\
Data Integrator. For automated analysis,\
the data may be queried from our\
REST API. \
\
\
\
Thanks to the dbVAR team at NCBI, especially John Lopez and Timothy Hefferon for technical \
coordination and consultation, and to Christopher Lee, Anna Benet-Pages, and Daniel Schmelter of \
the Genome Browser team for engineering the track display.\
\
\
\
\
varRep 1 compositeTrack on\
filterLabel.length Variant Length\
filterLabel.overlap Variant Overlap\
filterLabel.type Variant Type\
filterValues.length Under 10KB,10KB to 100KB,100KB to 1MB,Over 1MB\
filterValues.overlap 10 to 25,25 to 50,50 to 75,75 to 90,90 to 100\
filterValues.type alu deletion,copy number gain,copy number loss,copy number variation,deletion,duplication,herv deletion,line1 deletion,sva deletion\
html dbVarConflict\
itemRgb on\
longLabel NCBI dbVar Curated Conflict Variants\
mouseOverField label\
searchIndex name\
shortLabel dbVar Conflict SV\
superTrack dbVarSv pack\
track dbVar_conflict\
type bigBed 9 + .\
visibility pack\
decipher DECIPHER CNVs bigBed 9 + DECIPHER CNVs (not updated anymore - use the hg38 track) 0 100 0 0 0 127 127 127 0 0 0 https://www.deciphergenomics.org/patient/$$
Description
\
\
\
NOTE: \
Decipher is not updating hg19 anymore. This data is outdated. New Decipher data will not appear on hg19. Please use the hg38 track !\
\
To go to the corresponding location in hg38 now, go back to the chromosome\
view, click in the menu bar "View > In other Genomes" and select the hg38\
assembly.
\
\
Data Display Agreement Notice \
These data are only available for display in the Browser, and not for bulk\
download. Access to bulk data may be obtained directly from DECIPHER\
(https://www.deciphergenomics.org/about/data-sharing) and is subject to a\
Data Access Agreement, in which the user certifies that no attempt to\
identify individual patients will be undertaken. The same restrictions\
apply to the public data displayed at UCSC in the UCSC Genome Browser;\
no one is authorized to attempt to identify patients by any means.\
\
These data are made available as soon as possible and may be a\
pre-publication release. For information on the proper use of DECIPHER\
data, please see https://www.deciphergenomics.org/about/data-sharing.\
\
The DECIPHER consortium provides these data in good faith as a research\
tool, but without verifying the accuracy, clinical validity, or utility of\
the data. The DECIPHER consortium makes no warranty, express or implied,\
nor assumes any legal liability or responsibility for any purpose for\
which the data are used.\
\
\
\
\
The \
DECIPHER\
database of submicroscopic chromosomal imbalance \
collects clinical information about chromosomal \
microdeletions/duplications/insertions, translocations and inversions, \
and displays this information on the human genome map.\
\
This track shows genomic regions of reported cases and their \
associated phenotype information. All data have passed the strict\
consent requirements of the DECIPHER project and are approved for\
unrestricted public release. Clicking the Patient View ID link\
brings up a more detailed informational page on the patient at the \
DECIPHER web site. \
\
Display Conventions and Configuration
\
\
The genomic locations of DECIPHER variants are labeled with the DECIPHER variant descriptions. \
Mouseover on items shows variant details, clinical interpretation, and associated conditions. \
Further information on each variant is displayed on the details page by a click onto any variant. \
\
\
\
For the CNVs track, the entries are colored by the type of variant:\
\
red for loss
\
blue for gain
\
grey for amplification
\
\
\
\
\
A light-to-dark color gradient indicates the clinical significance of each variant, with \
the lightest shade being benign, to the darkest shade being pathogenic. Detailed information on the \
CNV color code is described here.\
Items can be filtered according to the size of the variant, variant type, and clinical significance \
using the track Configure options.\
\
\
\
For the SNVs track, the entries are colored according to the estimated clinical significance \
of the variant:\
\
black for likely or definitely pathogenic
\
dark grey for uncertain or unknown
\
light grey for likely or definitely benign
\
\
\
\
Method
\
\
Data provided by the DECIPHER project group are imported and processed\
to create a simple BED track to annotate the genomic regions associated\
with individual patients.\
\
phenDis 1 bigDataUrl /gbdb/hg19/decipher/decipherCnv.bb\
filter.size 0\
filterByRange.size on\
filterLimits.size 2:170487333\
filterValues.pathogenicity Benign,Likely Benign,Likely Pathogenic,Pathogenic,Uncertain,Unknown\
filterValues.variant_class Amplification,Copy-Number Gain,Deletion,Duplication,Duplication/Trip\
group phenDis\
html decipher.html\
itemRgb on\
longLabel DECIPHER CNVs (not updated anymore - use the hg38 track)\
mergeSpannedItems on\
mouseOverField _mouseOver\
pennantIcon snowflake.png https://www.deciphergenomics.org/about/faqs "This track on hg19 has been frozen in its current state and will receive no further updates. The hg38 version of this track is regularly updated to reflect the most recent DECIPHER release."\
searchIndex name\
shortLabel DECIPHER CNVs\
tableBrowser off knownCanonToDecipher knownToDecipher decipherRaw\
track decipher\
type bigBed 9 +\
url https://www.deciphergenomics.org/patient/$$\
urlLabel Decipher Patient View:\
visibility hide\
decipherSnvs DECIPHER SNVs bed 4 DECIPHER SNVs (not updated anymore - use the hg38 track) 0 100 0 0 0 127 127 127 0 0 0
Description
\
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NOTE: \
Decipher is not updating hg19 anymore. This data is outdated. New Decipher data will not appear on hg19. Please use the hg38 track !\
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To go to the corresponding location in hg38 now, go back to the chromosome\
view, click in the menu bar "View > In other Genomes" and select the hg38\
assembly.
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Data Display Agreement Notice \
These data are only available for display in the Browser, and not for bulk\
download. Access to bulk data may be obtained directly from DECIPHER\
(https://www.deciphergenomics.org/about/data-sharing) and is subject to a\
Data Access Agreement, in which the user certifies that no attempt to\
identify individual patients will be undertaken. The same restrictions\
apply to the public data displayed at UCSC in the UCSC Genome Browser;\
no one is authorized to attempt to identify patients by any means.\
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These data are made available as soon as possible and may be a\
pre-publication release. For information on the proper use of DECIPHER\
data, please see https://www.deciphergenomics.org/about/data-sharing.\
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The DECIPHER consortium provides these data in good faith as a research\
tool, but without verifying the accuracy, clinical validity, or utility of\
the data. The DECIPHER consortium makes no warranty, express or implied,\
nor assumes any legal liability or responsibility for any purpose for\
which the data are used.\
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The \
DECIPHER\
database of submicroscopic chromosomal imbalance \
collects clinical information about chromosomal \
microdeletions/duplications/insertions, translocations and inversions, \
and displays this information on the human genome map.\
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This track shows genomic regions of reported cases and their \
associated phenotype information. All data have passed the strict\
consent requirements of the DECIPHER project and are approved for\
unrestricted public release. Clicking the Patient View ID link\
brings up a more detailed informational page on the patient at the \
DECIPHER web site. \
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Display Conventions and Configuration
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The genomic locations of DECIPHER variants are labeled with the DECIPHER variant descriptions. \
Mouseover on items shows variant details, clinical interpretation, and associated conditions. \
Further information on each variant is displayed on the details page by a click onto any variant. \
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For the CNVs track, the entries are colored by the type of variant:\
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red for loss
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blue for gain
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grey for amplification
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A light-to-dark color gradient indicates the clinical significance of each variant, with \
the lightest shade being benign, to the darkest shade being pathogenic. Detailed information on the \
CNV color code is described here.\
Items can be filtered according to the size of the variant, variant type, and clinical significance \
using the track Configure options.\
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For the SNVs track, the entries are colored according to the estimated clinical significance \
of the variant:\
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black for likely or definitely pathogenic
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dark grey for uncertain or unknown
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light grey for likely or definitely benign
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Method
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Data provided by the DECIPHER project group are imported and processed\
to create a simple BED track to annotate the genomic regions associated\
with individual patients.\
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phenDis 1 color 0,0,0\
group phenDis\
html decipher.html\
longLabel DECIPHER SNVs (not updated anymore - use the hg38 track)\
nextExonText Right edge\
pennantIcon snowflake.png https://www.deciphergenomics.org/about/faqs "This track on hg19 has been frozen in its current state and will receive no further updates. The hg38 version of this track is regularly updated to reflect the most recent DECIPHER release."\
prevExonText Left edge\
shortLabel DECIPHER SNVs\
tableBrowser off decipherSnvsRaw\
track decipherSnvs\
type bed 4\
visibility hide\
decodeRmap deCODE Recomb bed 3 deCODE Recombination maps, 10Kb bin size, October 2010 0 100 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21,
Description
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The deCODE recombination rate track represents calculated rates of\
recombination based on the deCODE recombination maps in 10 Kb bins\
from October 2010. Sex averaged-, female- and male-specific recombination\
rates can be displayed by choosing the appropriate options on the track\
visibility controls.\
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Corresponding to each of these tracks are separate\
tracks for carriers and non-carriers of the PRDM9 14/15 composite\
allele which can be displayed as well. There are also tracks depicting\
the difference between male and female recombination rates, and a\
track showing recombination hotspots (i.e., bins with standardized\
recombination rates higher than 10).\
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In addition to the deCODE display, three data tracks from the\
HapMap project\
are included. CEU, YRI and combined maps from release #24 can be\
turned on with the track visibility controls.\
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Methods
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The deCODE genetic map was created at \
deCODE Genetics and is \
based on 289,658 and 8,411 SNPs on the autosomal and X chromosomes, respectively,\
for 15,257 parent-offspring pairs. For more information on this map, see\
Kong, et al., 2010.\
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Each base is assigned the recombination rate calculated by\
assuming a linear genetic distance across the immediately flanking\
genetic markers. The recombination rate assigned to each 10 Kb window\
is the average recombination rate of the bases contained within the\
window. The recombination rates are standardized, bringing the average\
to 1 for all bins used for the standardization.\
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Credits
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This track was produced at UCSC using data that are freely available for\
the deCODE genetic maps. Thanks to all who played a part in the\
creation of these maps.\
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map 1 chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21\
compositeTrack on\
group map\
longLabel deCODE Recombination maps, 10Kb bin size, October 2010\
maxHeightPixels 100:36:11\
noInherit on\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel deCODE Recomb\
subGroup1 view Views male=Male female=Female avg=Sex_Average diff=Sex_Difference hot=Hot_Spots other=Other_maps\
track decodeRmap\
type bed 3\
viewLimits 0:10\
visibility hide\
caddDel Deletions bigBed 9 + CADD 1.6 Score: Deletions - label is length of deletion 1 100 100 130 160 177 192 207 0 0 0
Description
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This track collection shows Combined Annotation Dependent Depletion scores.\
CADD is a tool for scoring the deleteriousness of single nucleotide variants as\
well as insertion/deletion variants in the human genome.
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Some mutation annotations\
tend to exploit a single information type (e.g., phastCons or phyloP for\
conservation) and/or are restricted in scope (e.g., to missense changes). Thus,\
a broadly applicable metric that objectively weights and integrates diverse\
information is needed. Combined Annotation Dependent Depletion (CADD) is a\
framework that integrates multiple annotations into one metric by contrasting\
variants that survived natural selection with simulated mutations.\
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CADD scores strongly correlate with allelic diversity, pathogenicity of both\
coding and non-coding variants, experimentally measured regulatory effects,\
and also rank causal variants within individual genome sequences with a higher\
value than non-causal variants. \
Finally, CADD scores of complex trait-associated variants from genome-wide\
association studies (GWAS) are significantly higher than matched controls and\
correlate with study sample size, likely reflecting the increased accuracy of\
larger GWAS.\
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A CADD score represents a ranking not a prediction, and no threshold is defined\
for a specific purpose. Higher scores are more likely to be deleterious: \
Scores are \
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10 * -log of the rank
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so that variants with scores above 20 are \
predicted to be among the 1.0% most deleterious possible substitutions in \
the human genome. We recommend thinking carefully about what threshold is \
appropriate for your application.\
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Display Conventions and Configuration
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There are six subtracks of this track: four for single-nucleotide mutations,\
one for each base, showing all possible substitutions, \
one for insertions and one for deletions. All subtracks show the CADD Phred\
score on mouseover. Zooming in shows the exact score on mouseover, same\
basepair = score 0.0.
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PHRED-scaled scores are normalized to all potential ~9 billion SNVs, and\
thereby provide an externally comparable unit for analysis. For example, a\
scaled score of 10 or greater indicates a raw score in the top 10% of all\
possible reference genome SNVs, and a score of 20 or greater indicates a raw\
score in the top 1%, regardless of the details of the annotation set, model\
parameters, etc.\
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The four single-nucleotide mutation tracks have a default viewing range of\
score 10 to 50. As explained in the paragraph above, that results in\
slightly less than 10% of the data displayed. The \
deletion and insertion tracks have a default filter of 10-100, because they\
display discrete items and not graphical data.\
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Single nucleotide variants (SNV): For SNVs, at every\
genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing \
the reference allele, e.g., A to A, is always set to zero.\
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When using this track, zoom in until you can see every basepair at the\
top of the display. Otherwise, there are several nucleotides per pixel under \
your mouse cursor and instead of an actual score, the tooltip text will show\
the average score of all nucleotides under the cursor. This is indicated by\
the prefix "~" in the mouseover. Averages of scores are not useful for any\
application of CADD.\
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Insertions and deletions: Scores are also shown on mouseover for a\
set of insertions and deletions. On hg38, the set has been obtained from\
gnomAD3. On hg19, the set of indels has been obtained from various sources\
(gnomAD2, ExAC, 1000 Genomes, ESP). If your insertion or deleletion of interest\
is not in the track, you will need to use CADD's\
online scoring tool\
to obtain them.
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Data access
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CADD scores are freely available for all non-commercial applications from\
the CADD website.\
For commercial applications, see\
the license instructions there.\
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The CADD data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
The files for this track are called a.bw, c.bw, g.bw, t.bw, ins.bb and del.bb. Individual\
regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
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bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/a.bw stdout\
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or\
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bigBedToBed -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/ins.bb stdout
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phenDis 1 bigDataUrl /gbdb/hg19/cadd/del.bb\
filter.score 10:100\
filterByRange.score on\
filterLabel.score Show only items with PHRED scale score of\
filterLimits.score 0:100\
html caddSuper\
longLabel CADD 1.6 Score: Deletions - label is length of deletion\
mouseOver Mutation: $change CADD Phred score: $phred\
parent caddSuper\
shortLabel Deletions\
track caddDel\
type bigBed 9 +\
visibility dense\
denisovaMethylation Denisova Methyl bed 9 Denisova Reconstructed DNA Methylation Map 0 100 0 0 0 127 127 127 0 0 0
Description
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This track shows the reconstructed DNA methylation map of the Denisova genome,\
derived from bone tissues.\
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Display conventions and configuration
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Green to red scaling is used as a rough indicator of methylation.\
Values range from 0% (green, unmethylated) to 100% (red, methylated).\
Data are displayed for CpG positions across the genome.\
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Methods
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Gokhman et al. reconstructed the DNA methylation maps of two archaic humans,\
the Neandertal and the Denisovan, based on the natural deamination of cytosines\
in ancient DNA. With time, cytosines (C's) in post-mortem DNA lose their amine\
group (deamination). However, deamination of methylated vs. unmethylated C's\
results in different products - Methylated C's are deaminated with time to T's,\
whereas unmethylated C's are deaminated to U's.\
The U's are later removed during ancient DNA library preparation and as a result,\
a distinct pattern is observed: methylated regions in the genome display high C-->T\
conversion rate, whereas unmethylated regions display a low C-->T conversion rate.\
These patterns were used to reconstruct the full DNA methylation maps of the archaic humans.\
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Credits
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This track was produced at UCSC using data generated by Gokhman et al., 2014.\
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Denisova cave entrance in the Altai Mountains\
\ of Siberia, Russia where the bones were found from which\
\ DNA was sequenced\
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(Copyright (C) 2010, Johannes Krause)\
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Description
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The Denisova Sequence track shows\
high-coverage sequence reads from an archaic Denisovan individual\
mapped to the human genome reference assembly.\
The Denisova DNA was extracted from a phalanx bone excavated from\
Denisova Cave in the Altai Mountains in southern Siberia.\
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Methods
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A novel single-stranded DNA library preparation method\
(Note 2,\
supplementary online materials of Meyer, 2012)\
was applied to DNA previously extracted from 40mg of bone (Reich, 2010).\
Using single-stranded DNA greatly increased the genomic coverage to\
30X compared to an earlier 1.9X sequence (Reich, 2010).\
Sequence reads were aligned to human sequence Feb. 2009 (GRCh37/hg19)\
(downloaded from the\
1000 Genomes Project) using the\
Burrows-Wheeler Aligner.\
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Denisova cave entrance in the Altai Mountains\
\ of Siberia, Russia where the bones were found from which\
\ DNA was sequenced\
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(Copyright (C) 2010, Johannes Krause)\
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Description
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The Denisova Variants track shows variant calls made using\
high-coverage sequence reads from an archaic Denisovan individual\
mapped to the human genome reference assembly.\
The Denisova DNA was extracted from a phalanx bone excavated from\
Denisova Cave in the Altai Mountains in southern Siberia.\
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Methods
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A novel single-stranded DNA library preparation method (Meyer, 2012)\
was applied to DNA previously extracted from 40mg of bone (Reich, 2010).\
Using single-stranded DNA greatly increased the genomic coverage to\
30X compared to an earlier 1.9X sequence (Reich, 2010).\
Sequence reads were aligned to human sequence Feb. 2009 (GRCh37/hg19)\
(downloaded from the\
1000 Genomes Project) using the\
Burrows-Wheeler Aligner.\
Genotype calls for single nucleotide variants and small insertions and\
deletions were made using the Unified Genotyper from the\
Genome Analysis Toolkit (GATK), with an additional iteration\
using a modified reference genome in order to reduce reference bias\
(Note 6,\
supplementary online materials of Meyer, 2012).\
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Variant Call Format (VCF) files were enhanced by adding information from\
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Ensembl Compara EPO alignments of 6 primates and of 35 Eutherian mammals,\
phastCons conservation scores generated using EPO alignments,\
1000 Genomes Project\
integrated variant call files,\
University of Washington\
background selection scores,\
ENCODE/Duke Uniqueness of 20mers (see the Mappability track),\
segmental duplications from the Eichler lab (see the Segmental Dups track),\
and\
samtools mpileup summaries of mapped reads.\
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Comprehensive VCF files that include information for homozygous-reference\
bases and uncovered bases are available. This track uses VCF files that were filtered\
to retain only those locations that clearly differ from the human reference genome.\
Reference genome bases without variant calls may indicate either matching Denisova sequence\
or insufficient data.\
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denisova 1 group denisova\
longLabel Variant Calls from High-Coverage Genome Sequence of an Archaic Denisovan Individual\
shortLabel Denisova Variants\
track dhcVcfDenisovaPinky\
type vcfTabix\
vcfDoMaf off\
visibility hide\
cnvDevDelay Development Delay gvf Copy Number Variation Morbidity Map of Developmental Delay 0 100 0 0 0 127 127 127 0 0 0
Description
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Enrichment of large copy number variants (CNVs) has been linked to severe pediatric disease\
including developmental delay, intellectual disability and autism spectrum disorder. The\
association of individual loci with specific disorders, however, has still been problematic.\
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This track shows CNVs from cases of developmental delay along with healthy control sets from two\
separate studies. The study by Cooper et al. (2011) analyzed samples from 15,767 children\
with various developmental disabilities and compared them with samples from 8,329 adult controls to\
produce a detailed genome-wide morbidity map of developmental delay and congenital birth defects.\
The study by Coe et al. (2014) further expanded the morbidity map by analyzing 13,318 new\
case samples along with 11,255 new controls.\
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Display Conventions and Configuration
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This is a composite track consisting of a Case subtrack and a Control subtrack. To turn a subtrack\
on or off, toggle the checkbox to the left of the subtrack name in the track controls at the top of\
the track description page.\
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Items in this track are colored red for copy number loss and\
blue for copy number gain.\
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Methods
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The samples were analyzed using nine different CGH platforms with initial CNV calls filtered as\
described in Coe et al. (2014).\
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Final CNV calls were decoupled from identifying information and submitted to dbVar as\
nstd54 and\
nstd100\
for unrestricted release.\
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The 15,767 case individuals from the Cooper study comprise nstd54 sampleset 1, while the 8,329\
control individuals from the Cooper study comprise nstd54 samplesets 2-12. The 13,318 case\
individuals from the Coe study were combined with the Cooper case individuals to comprise nstd100\
sampleset 1. The 11,255 control individuals from the Coe study comprise nsdt100 samplesets 2 and 3.\
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The Case subtrack was constructed using nstd100 sampleset 1. The Control subtrack was constructed by\
combining nstd100 samplesets 2 and 3 with nstd54 samplesets 2-12.\
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Credits
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We would like to thank Gregory Cooper, Brad Coe and the\
Eichler Lab at the University of\
Washington for providing the data for this track.\
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phenDis 1 compositeTrack on\
group phenDis\
longLabel Copy Number Variation Morbidity Map of Developmental Delay\
noScoreFilter .\
shortLabel Development Delay\
track cnvDevDelay\
type gvf\
visibility hide\
dgvGold DGV Gold Standard bigBed 12 Database of Genomic Variants: Gold Standard Variants 0 100 0 0 0 127 127 127 0 0 0 http://dgv.tcag.ca/gb2/gbrowse_details/dgv2_hg19?ref=$S;start=${;end=$};name=$$;class=Sequence varRep 1 bigDataUrl /gbdb/hg19/dgv/dgvGold.bb\
longLabel Database of Genomic Variants: Gold Standard Variants\
mouseOver ID:$name; Position; $chrom:${chromStart}-${chromEnd}; Type:$variant_sub_type; Frequency:$Frequency\
parent dgvPlus\
searchIndex name\
shortLabel DGV Gold Standard\
track dgvGold\
type bigBed 12\
url http://dgv.tcag.ca/gb2/gbrowse_details/dgv2_hg19?ref=$S;start=${;end=$};name=$$;class=Sequence\
dgvPlus DGV Struct Var bed 9 + Database of Genomic Variants: Structural Variation (CNV, Inversion, In/del) 0 100 0 0 0 127 127 127 0 0 0 http://dgv.tcag.ca/dgv/app/variant?id=$$&ref=$D
Description
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This track displays copy number variants (CNVs), insertions/deletions (InDels),\
inversions and inversion breakpoints annotated by the\
Database of Genomic Variants (DGV), which\
contains genomic variations observed in healthy individuals.\
DGV focuses on structural variation, defined as\
genomic alterations that involve segments of DNA that are larger than\
1000 bp. Insertions/deletions of 50 bp or larger are also included.\
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Display Conventions
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This track contains three subtracks:\
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Structural Variant Regions: annotations that have been generated from one or more reported\
structural variants at the same location.\
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Supporting Structural Variants: the sample-level reported structural variants.\
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Gold Standard Variants: curated variants from a selected number of studies in DGV.\
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Color is used in these subtracks to indicate the type of variation:\
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Inversions and\
inversion breakpoints are purple.\
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CNVs and InDels are blue if there is a\
gain in size relative to the reference.\
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CNVs and InDels are red if there is a\
loss in size relative to the reference.\
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CNVs and InDels are brown if there are reports of\
both a loss and a gain in size\
relative to the reference.\
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The DGV Gold Standard subtrack utilizes a boxplot-like\
display to represent the merging of records as explained in the Methods\
section below. In this track, the middle box (where applicable), represents\
the high confidence location of the CNV, while the thin lines and end boxes\
represent the possible range of the CNV.\
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Clicking on a variant leads to a page with detailed information about the variant, \
such as the study reference and PubMed abstract link, the study's method and any\
genes overlapping the variant. Also listed, if available, are the sequencing or array platform\
used for the study, a sample cohort description, sample size, sample ID(s) in which\
the variant was observed, observed gains and observed losses.\
If the particular variant is a merged variant, links to genome browser views of \
the supporting variants are listed. If the particular variant is a supporting variant,\
a link to the genome browser view of its merged variant is displayed.\
A link to DGV's Variant Details page for each variant is also provided.\
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For most variants, DGV uses accessions from peer archives of structural variation\
(dbVar\
at NCBI or DGVa at EBI).\
These accessions begin with either "essv",\
"esv", "nssv", or "nsv", followed by a number.\
Variant submissions processed by EBI begin with "e"\
and those processed by NCBI begin with "n".\
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Accessions with ssv are for variant calls on a particular sample, and if they\
are copy number variants, they generally indicate whether the change is a gain\
or loss. \
In a few studies the ssv represents the variant called by a single\
algorithm. If multiple algorithms were used, overlapping ssv's from\
the same individual would be combined to generate a sample level\
sv. \
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If there are many samples analyzed in a study, and if there are many\
samples which have the same variant, there will be multiple ssv's with\
the same start and end coordinates.\
These sample level variants are then merged and combined to form a\
representative variant that highlights the common variant found in\
that study. The result is called a structural variant (sv) record.\
Accessions with sv are for regions asserted by submitters to contain\
structural variants, and often span ssv elements for both losses and\
gains. dbVar and DGVa do not record numbers of losses and gains\
encompassed within sv regions.\
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DGV merges clusters of variants that share at least 70% reciprocal\
overlap in size/location, and assigns an accession beginning with\
"dgv", followed by an internal variant serial number,\
followed by an abbreviated study id. For example,\
the first merged variant from the Shaikh et al. 2009 study (study\
accession=nstd21) would be dgv1n21. The second merged variant would be\
dgv2n21 and so forth.\
Since in this case there is an additional level of clustering,\
it is possible for an "sv" variant to be both a merged\
variant and a supporting variant.\
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For most sv and dgv variants, DGV displays the total number of\
sample-level gains and/or losses at the bottom of their variant detail\
page. Since each ssv variant is for one sample, its total is 1.\
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Methods
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Published structural variants are imported from peer archives\
dbVar and\
DGVa.\
DGV then applies quality filters and merges overlapping variants.\
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For data sets where the variation calls are reported at a\
sample-by-sample level, DGV merges calls with similar boundaries\
across the sample\
set. Only variants of the same type (i.e. CNVs, Indels, inversions)\
are merged, and gains and losses are merged separately.\
Sample level calls that overlap by ≥ 70% are merged in this\
process.\
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The initial criteria for the Gold Standard set require that a variant is found\
in at least two different studies and found in at least two different samples. After\
filtering out low-quality variants, the remaining variants are clustered according\
to 50% minimum overlap, and then merged into a single record. Gains and losses are merged \
separately.\
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The highest ranking variant in the cluster defines the inner box, while \
the outer lines define the maximum possible start and stop coordinates of the CNV.\
In this way, the inner box forms a high-confidence CNV location and the thin connecting \
lines indicate confidence intervals for the location of CNV.\
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Data Access
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The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset. The genome annotation is stored in a bigBed\
file that can be downloaded from the\
download server.\
The exact filenames can be found in the track configuration file. Annotations can be converted to\
ASCII text by our tool bigBedToBed which can be compiled from the source code or\
downloaded as a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here. The tool can\
also be used to obtain only features within a given range, for example:
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varRep 1 compositeTrack on\
coriellUrlBase http://ccr.coriell.org/Sections/Search/Sample_Detail.aspx?Ref=\
dataVersion 2020-02-25\
exonArrows off\
exonNumbers off\
group varRep\
html dgvPlusGold\
itemRgb on\
longLabel Database of Genomic Variants: Structural Variation (CNV, Inversion, In/del)\
noScoreFilter .\
shortLabel DGV Struct Var\
track dgvPlus\
type bed 9 +\
url http://dgv.tcag.ca/dgv/app/variant?id=$$&ref=$D\
urlLabel DGV Browser and Report:\
visibility hide\
dosageSensitivity Dosage Sensitivity bigBed 9 + 2 pHaplo and pTriplo dosage sensitivity map from Collins et al 2022 0 100 0 0 0 127 127 127 0 0 0
Description
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This container track represents dosage sensitivity map data from Collins et al 2022. There are\
two tracks, one corresponding to the probability of haploinsufficiency (pHaplo) and \
one to the probability of triplosensitivity (pTriplo).
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Rare copy-number variants (rCNVs) include deletions and duplications that occur \
infrequently in the global human population and can confer substantial risk for \
disease. Collins et al aimed to quantify the properties of haploinsufficiency (i.e., \
deletion intolerance) and triplosensitivity (i.e., duplication intolerance) throughout \
the human genome by analyzing rCNVs from nearly one million individuals to construct a \
genome-wide catalog of dosage sensitivity across 54 disorders, which defined 163 dosage \
sensitive segments associated with at least one disorder. These segments were typically \
gene-dense and often harbored dominant dosage sensitive driver genes. An ensemble \
machine learning model was built to predict dosage sensitivity probabilities (pHaplo & \
pTriplo) for all autosomal genes, which identified 2,987 haploinsufficient and 1,559 \
triplosensitive genes, including 648 that were uniquely triplosensitive.\
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Display Conventions and Configuration
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Each of the tracks is displayed with a distinct item (bed track) covering the entire gene locus wherever \
a score was available. Clicking on an item provides a link to DECIPHER which contains the sensitivity scores as well as\
additional information. Mousing over the items will display the gene symbol, the ESNG ID for that gene, \
and the respective sensitivity score for the track rounded to two decimal places. Filters are \
also available to specify specific score thresholds to display for each of the tracks.
\
\
Coloring and Interpretation
\
\
\
\
Each of the tracks is colored based on standardized cutoffs for pHaplo and pTriplo as described by the\
authors:
\
\
pHaplo scores ≥0.86 indicate that the average effect sizes of deletions are as strong as \
the loss-of-function of genes known to be constrained against protein truncating variants (average OR≥2.7)\
(Karczewski et al., 2020). \
pHaplo scores ≥0.55 indicate an odds ratio ≥2.
\
\
pTriplo scores ≥0.94 indicate that the average effect sizes of deletions are as strong as\
the loss-of-function of genes known to be constrained against protein truncating variants (average OR≥2.7)\
(Karczewski et al., 2020).\
pHaplo scores ≥0.68 indicate an odds ratio ≥2.
\
\
Applying these cutoffs defined 2,987 haploinsufficient (pHaplo≥0.86) and 1,559\
triplosensitive (pTriplo≥0.94) genes with rCNV effect sizes comparable to loss-of-function\
of gold-standard PTV-constrained genes.
\
\
See below for a summary of the color scheme:
\
\
\
Dark red items - pHaplo ≥ 0.86
\
Bright red items - pHaplo < 0.86
\
Dark blue items - pTriplo ≥ 0.94
\
Bright blue items - pTriplo < 0.94
\
\
\
Methods
\
\
\
The data were downloaded from Zenodo which consisted of a 3-column file with\
gene symbols, pHaplo, and pTriplo scores. Since the data were created using\
GENCODEv19 models, the hg19 data was mapped using those coordinates by picking the earliest\
transcription start site of all of the respective gene transcripts and the furthest \
transcription end site. This leads to some gene boundaries that are not representative of a real\
transcript, but since the data are for gene loci annotations this maximum coverage was used.\
Finally, both scores were rounded to two decimal points for easier interpretation.
\
\
For hg38, we attempted to use updated gene positions using a few different datasets since \
gene symbols have been updated many times since GENCODEv19. A summary of the workflow\
can be seen below, with each subsequent step being used only for genes where mapping failed:
\
\
Gene symbols were mapped using MANE1.0. < 2000 items failed mapping here.
\
Mapping with GENCODEv45 was attempted.
\
Mapping with GENCODEv20 was attempted. At this point, 448 items were not mapped.
\
Finally, any missing items were lifted using the hg19 track. 19/448 items failed\
mapping due to their regions having been split from hg19 to hg38.
\
\
\
In summary, the hg19 track was mapped using the original GENCODEv19 mappings, and a series\
of steps were taken to map the hg38 gene symbols with updated coordinates. 19/18641 items\
could not be mapped and are missing from the hg38 tracks.
\
\
The complete \
makeDoc can be found online. This includes all of the track creation steps.
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API. However, for bulk\
processing, it is recommended to download the dataset.\
\
\
\
For automated download and analysis, the genome annotation is stored at UCSC in bigBed\
files that can be downloaded from\
our download server.\
Individual regions or the whole genome annotation can be obtained using our tool \
bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
Please refer to our\
Data Access FAQ\
for more information.\
\
\
Credits
\
\
\
Thanks to DECIPHER for their support and assistance with the data. We would also like to \
thank Anna Benet-Pagès for suggesting and assisting in track development and interpretation.\
\
phenDis 1 compositeTrack on\
group phenDis\
html dosageSensitivityCollins2022\
itemRgb on\
longLabel pHaplo and pTriplo dosage sensitivity map from Collins et al 2022\
noParentConfig on\
shortLabel Dosage Sensitivity\
track dosageSensitivity\
type bigBed 9 + 2\
visibility hide\
wgEncodeDukeAffyExon Duke Affy Exon bed 3 Affymetrix Exon Array from ENCODE/Duke 0 100 0 0 0 127 127 127 1 0 0
Description
\
\
\
This track displays human tissue microarray data using Affymetrix Human Exon 1.0 \
ST expression arrays. This RNA expression track was produced as part of the\
ENCODE Project. The RNA was extracted from cells that were also analyzed by DNaseI hypersensitivity (Duke DNaseI HS), FAIRE (UNC FAIRE), and ChIP (UTA TFBS).\
\
\
Display Conventions and Configuration
\
\
In contrast to the hg18 annotation, this track now displays exon array data\
that has been aggregated to the gene level for those probes that have been\
linked to genes. Probes not linked to genes are not included.\
The display for this track shows gene probe location and signal value as\
grayscale-colored items where higher signal values correspond to darker-colored\
blocks.\
\
\
\
Items with scores between 900-1000 have signal values greater than 9 that have been linearly scaled for that particular cell type. \
Items scoring 400-900 have signal values between 4 and 9, and the signal is simply multiplied by 100 to get the score. \
Items with scores between 200-400 have signal values below 4 that have been linearly scaled to fit that score range. \
\
\
The subtracks within this composite annotation track correspond to data from different\
cell types and tissues. The configuration options are shown at the top of the track\
description page, followed by a list of subtracks. To display only selected subtracks,\
uncheck the boxes next to the tracks you wish to hide.\
\
\
For information regarding specific microarray probes, turn on the Affy Exon Probes track, which \
can be found in the Expression track group. See Methods for a description\
as to how probe level data was processed to produce gene level annotations.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
\
Data from these tracks are stored as bed files whose first six fields follow the bed file standard. The three additional fields are as follows:\
\
signalValue: The normalized expression value for a gene, calculated as described below.
\
exonCount: The number of exons used in the calculation of the expression value.
\
constitutiveExons: The number of constitutive exons used in the calculation of the expression value.
\
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Total RNA was isolated from these cells using trizol extraction followed by\
cleanup on RNEasy column (Qiagen) that included a DNaseI step. \
The RNA was checked for quality using a nanodrop and an Agilent Bioanalyzer.\
RNA (1 µg) deemed to be of good quality was then processed\
either by 1) the standard Affymetrix Whole transcript Sense Target labeling protocol that included a riboreduction step,\
or 2) the NuGEN labeling system.\
The fragmented biotin-labeled cDNA was hybridized over 16 h to Affymetrix Exon 1.0 ST arrays and scanned on an Affymetrix Scanner 3000 7G using AGCC software. \
\
\
Data from all replicates were then normalized together.\
Probesets flagged as cross-hybridizing were removed from the analysis (Salomonis et al. 2010).\
Though these arrays provide exon-level resolution, gene-level expression was estimated by\
grouping probesets by gene for normalization (Bemmo et al. 2008). Probesets were assigned\
to genes based on the GENCODE v10 annotation (July 2011). An exon was classified as\
constitutive or non-constitutive based on whether it was present in all protein-coding transcripts.\
For genes with at least 4 constitutive probes, only constitutive probesets were used to\
estimate gene expression. For all other genes, including all non-protein-coding genes, \
all (non-cross-hybridizing) probesets that mapped to an expressed exon in any transcript of the gene were used. \
Gene-level expression estimates were normalized using Affymetrix Power Tools (APT) (Lockstone 2011)\
with the chipstream command "rma-bg, med-norm, pm-gcbg, med-polish". This chipstream calls \
for an RMA normalization with gc-background correction using antigenomic background probes. \
\
\
While the data was generated using the same microarray platform, two different experimental\
backgrounds were present due to a change in labeling reagents (Affymetrix vs. NuGEN; see Methods above). \
It was found that batch effects related to this change were causing array data to group by experimental protocol\
rather than cell type relatedness. We used an R script (ComBat) to correct for this batch effect (Johnson et al. 2007).\
\
\
Verification
\
\
When biological replicates were available, data were verified by analyzing replicates displaying a Pearson correlation coefficient > 0.9.\
\
\
Release Notes
\
\
This is release 3 of this track (April 2012). Several new cell types have been added. The name of cell line Astrocy was changed to NH-A. \
\
\
Credits
\
\
\
RNA was extracted from each cell type by Greg Crawford's group at \
Duke University.\
RNA was purified and hybridized to Affymetrix Exon arrays by\
Sridar Chittur and\
Scott Tenenbaum at the University of Albany-SUNY. \
Data analyses were primarily performed by\
Nathan Sheffield (Duke University) with assistance from Melissa Cline (UCSC), Zhancheng Zhang (UNC Chapel Hill), and Darin London (Duke University). \
\
Data users may freely use ENCODE data, but\
may not, without prior consent, submit publications that use an\
unpublished ENCODE dataset until nine months following the release of\
the dataset. This date is listed in the Restricted Until column,\
above. The full data release policy for ENCODE is available\
here.\
These tracks display DNaseI hypersensitivity (HS) evidence as part of the\
four Open Chromatin track sets.\
DNaseI is an enzyme that has long been used to map general\
chromatin accessibility and DNaseI "hypersensitivity" is a feature of active\
cis-regulatory sequences. The use of this method has led to the discovery of\
functional regulatory elements that include promoters, enhancers, silencers,\
insulators, locus control regions, and novel elements. DNaseI hypersensitivity\
signifies chromatin accessibility following binding of trans-acting factors in\
place of a canonical nucleosome.\
\
Together with FAIRE and\
ChIP-seq experiments, these tracks display the locations of active regulatory\
elements identified as open chromatin in\
multiple cell types\
from the Duke, UNC-Chapel Hill, UT-Austin, and EBI ENCODE group.\
Within this project, open chromatin was identified using two\
independent and complementary methods: these DNaseI HS assays\
and Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE),\
combined with chromatin immunoprecipitation (ChIP) for select\
regulatory factors. DNaseI HS and FAIRE provide assay\
cross-validation with commonly identified regions delineating the\
highest confidence areas of open chromatin. ChIP assays provide\
functional validation and preliminary annotation of a subset of\
open chromatin sites. Each method employed Illumina (formerly Solexa)\
sequencing by synthesis as the detection platform.\
The Tier 1 and Tier 2 cell types were additionally verified using\
high-resolution 1% ENCODE tiled microarrays supplied by NimbleGen.\
\
Other Open Chromatin track sets:\
\
Data for the FAIRE experiments can be found in\
UNC FAIRE.\
Data for the ChIP experiments can be found in\
UTA TFBS.\
A synthesis of all the open chromatin assays for select cell lines can\
be previewed in\
Open Chrom Synth.\
\
\
Display Conventions and Configuration
\
This track is a multi-view composite track that contains a single data type\
with multiple levels of annotation (views). For each view, there are\
multiple subtracks representing different cell types that display individually\
on the browser. Instructions for configuring multi-view tracks are\
here.\
Chromatin data displayed here represents a continuum of signal intensities.\
The Crawford lab recommends setting the "Data view scaling: auto-scale"\
option when viewing signal data in full mode to see the full dynamic\
range of the data. Note that in regions that do not have open chromatin sites,\
autoscale will rescale the data and inflate the background signal, making the\
regions appear noisy. Changing back to fixed scale will alleviate this issue.\
In general, for each experiment in each of the cell types, the\
Duke DNaseI HS tracks contain the following views:\
\
Peaks
\
Regions of enriched signal in DNaseI HS experiments.\
Peaks were called based on signals created using F-Seq, a software program\
developed at Duke (Boyle et al., 2008b). Significant regions were\
determined by fitting the data to a gamma distribution to calculate p-values.\
Contiguous regions where p-values were below a 0.05/0.01 threshold were\
considered significant. The solid vertical line in the peak represents the\
point with the highest signal.
\
\
F-Seq Density Signal
\
Density graph (wiggle) of signal\
enrichment calculated using F-Seq for the combined set of sequences from all\
replicates. F-Seq employs Parzen kernel density estimation to create base pair\
scores (Boyle et al., 2008b). This method does not look at fixed-length\
windows, but rather weights contributions of nearby sequences in proportion to\
their distance from that base. It only considers sequences aligned 4 or less\
times in the genome and uses an alignability background model to try to correct\
for regions where sequences cannot be aligned. For each cell type (especially\
important for those with an abnormal karyotype), a model to try to correct for\
amplifications and deletions that is based on control input data was also used.
\
\
Base Overlap Signal
\
An alternative version of the\
F-Seq Density Signal track annotation that provides a higher resolution\
view of the raw sequence data. This track also includes the combined set of\
sequences from all replicates. For each sequence, the aligned read is\
extended 5 bp in both directions from its 5' aligned end where DNase cut\
the DNA. The score at each base pair represents the number of\
extended fragments that overlap the base pair.
\
\
\
\
Peaks and signals displayed in this track are the results of pooled replicates. The raw\
sequence and alignment files for each replicate are available for\
download.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
DNaseI hypersensitive sites were isolated using methods called DNase-seq or\
DNase-chip (Song and Crawford, 2010; Boyle et al., 2008a; Crawford et al., 2006).\
Briefly, cells were lysed with NP40, and intact nuclei were digested with optimal\
levels of DNaseI enzyme. DNaseI-digested ends were captured from three different\
DNase concentrations, and material was sequenced using Illumina (Solexa)\
sequencing. DNase-seq data for Tier 1 and Tier 2 cell lines were verified by comparing\
multiple independent growths (replicates) and determining the reproducibility of the\
data. In general, cell lines were verified if 80% of the top 50,000 peaks in\
one replicate were detected in the top 100,000 peaks of a second replicate. For\
some cell types, additional verification was performed using similar material\
hybridized to NimbleGen Human ENCODE tiling arrays (1% of the genome) along with\
the input DNA as reference (DNase-chip). A more detailed protocol is available\
here.\
\
The read length for sequences from DNase-seq was 20 bases long due to a MmeI\
cutting step of the approximately 50 kb DNA fragments extracted after DNaseI\
digestion. Sequences from each experiment were aligned to the genome using\
BWA (Li et al., 2008) for the GRCh37 (hg19) assembly.\
\
where genome.fa is the whole genome sequence and s_1.sequence.txt.bfq is one lane\
of sequences converted into the required bfq format.
\
\
Sequences from multiple lanes\
were combined for a single replicate using the bwa samse command and converted\
to the sam/bam format using SAMtools.\
\
Only those sequences that aligned to 4 or fewer locations were retained. Other sequences\
were also filtered based on their alignment to problematic regions\
(such as satellites and rRNA genes - see\
supplemental materials).\
The mappings of these short reads to the genome are available for\
download.
\
Using F-seq, the resulting digital signal was converted to a continuous wiggle track that employs a Parzen kernel density estimation to create base pair scores\
(Boyle et al., 2008b). Input data was generated for several\
cell lines. These were used directly to create a control/background model used\
for F-Seq when generating signal annotations for these cell lines.\
These models were meant to correct for sequencing biases, alignment artifacts,\
and copy number changes in these cell lines. Input data was not generated\
directly for other cell lines. For cell lines for which there is \
no input experiment available, the peaks were generated using the control\
of generic_male or generic_female, as an attempt to create a general\
background based on input data from several cell types. These files\
are in "iff" format, which is used when calling peaks with\
F-seq software, and can be downloaded from the\
production lab directly\
from under the section titled "Copy number / karyotype correction."\
Using a general background model derived from the available Input data sets provided corrections for\
sequencing biases and alignment artifacts, but did not correct for cell type-specific copy number changes.\
\
where the bff files are the background files based on alignability, the\
iff files are the background files based on the Input experiments,\
and alignments.bed is a bed file of filtered sequence alignments.
\
\
Discrete DNaseI HS sites (peaks) were identified from DNase-seq F-seq density signal.\
Significant regions were determined by fitting the data to a gamma distribution to\
calculate p-values. Contiguous regions where p-values were below a 0.05/0.01\
threshold were considered significant.\
\
Data from the high-resolution 1% ENCODE tiled microarrays supplied by\
NimbleGen were normalized using the Tukey biweight normalization and peaks\
were called using ChIPOTle (Buck et al., 2005) at multiple levels\
of significance. Regions matched on size to these peaks that were devoid of\
any significant signal were also created as a null model. These data were used\
for additional verification of Tier 1 and Tier 2 cell lines by ROC analysis.\
Files containing this data can be found in the \
Downloads \
directory, labeled 'Validation' in the View column.\
\
\
\
\
Release Notes
\
\
This is Release 3 (August 2012) of the track. It includes 27 new experiments including 18 new cell lines. \
\
\
\
\
A synthesis of open chromatin evidence from the three assay types was\
compiled for Tier 1 and 2 cell lines and can be viewed in\
Open Chromatin Synthesis.\
\
Enhancer and Insulator Functional assays: A subset of DNase and FAIRE\
regions were cloned into functional tissue culture reporter assays to test for\
enhancer and insulator activity. Coordinates and results from these\
experiments can be found in the\
supplemental materials. \
\
\
\
\
Credits
\
\
These data and annotations were created by a collaboration of multiple\
institutions (contact:\
\
Terry Furey)\
\
\
\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications \
that use an unpublished ENCODE dataset until nine months following the release of the dataset. \
This date is listed in the Restricted Until column, above. The full data release policy for ENCODE is available\
here.\
regulation 1 compositeTrack on\
configurable on\
controlledVocabulary encode/cv.ra cellType=cell treatment=treatment\
dataVersion ENCODE July 2012 Freeze\
dimensions dimensionY=cellType dimensionX=treatment\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line treatment=Treatment view=View dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
group regulation\
html wgEncodeOpenChromDnase.release3\
longLabel Open Chromatin by DNaseI HS from ENCODE/OpenChrom(Duke University)\
noInherit on\
shortLabel Duke DNaseI HS\
sortOrder cellType=+ treatment=+ view=+\
subGroup1 view Views Peaks=Peaks SIG=Density_Signal SIGBO=Overlap_Signal\
subGroup2 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2A549=A549 (Tier_2) t2BCELLSCD20RO01794=B_cells_CD20+_RO01794 (Tier_2) t2HELAS3=HeLa-S3 (Tier_2) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t2IMR90=IMR90 (Tier_2) t2MCF7=MCF-7 (Tier_2) t2MONOCYTESCD14=Monocytes_CD14+ (Tier_2) t2SKNSH=SK-N-SH (Tier_2) t3A8988T=8988T t3ADULTCD4TH0=Adult_CD4+_Th0 t3ADULTCD4TH1=Adult_CD4+_Th1 t3AOSMC=AoSMC t3CEREBELLUMOC=Cerebellum_OC t3CEREBRUMFRONTALOC=Cerebrum_frontal_OC t3CHORION=Chorion t3CLL=CLL t3COLO829=Colo829 t3ECC1=ECC-1 t3FIBROBL=Fibrobl t3FIBROBLGM03348=Fibrobl_GM03348 t3FIBROPAG08395=FibroP_AG08395 t3FIBROPAG08396=FibroP_AG08396 t3FIBROPAG20443=FibroP_AG20443 t3FRONTALCORTEXOC=Frontal_cortex_OC t3GCBCELL=GC_B_cell t3GLIOBLA=Gliobla t3GM10248=GM10248 t3GM10266=GM10266 t3GM12891=GM12891 t3GM12892=GM12892 t3GM13976=GM13976 t3GM13977=GM13977 t3GM18507=GM18507 t3GM19238=GM19238 t3GM19239=GM19239 t3GM19240=GM19240 t3GM20000=GM20000 t3H7HESC=H7-hESC t3H9ES=H9ES t3HEARTOC=Heart_OC t3HEK293T=HEK293T t3HEPATOCYTES=Hepatocytes t3HMEC=HMEC t3HPDE6E6E7=HPDE6-E6E7 t3HSMM=HSMM t3HSMMEMB=HSMM_emb t3HSMMFSHD=HSMM_FSHD t3HSMMTUBE=HSMMtube t3HTR8SVN=HTR8svn t3HUH7=Huh-7 t3HUH75=Huh-7.5 t3IPSCWRU1=iPS_CWRU1 t3IPSNIHI07=iPS_NIHi7 t3IPSNIHI11=iPS_NIHi11 t3ISHIKAWA=Ishikawa t3LNCAP=LNCaP t3MEDULLO=Medullo t3MEDULLOD341=Medullo_D341 t3MEL2183=Mel_2183 t3MELANO=Melano t3MYOMETR=Myometr t3NAIVEBCELL=Naive_B_cell t3NHEK=NHEK t3OLFACTORYNEUROSPHERE=Olfactory_neurosphere t3OSTEOBLASTS=Osteoblasts t3PANISLETD=PanIsletD t3PANISLETS=PanIslets t3PHTE=pHTE t3PROGFIB=ProgFib t3PSOASMUSCLEOC=Psoas_muscle_OC t3RWPE1=RWPE1 t3STELLATE=Stellate t3T47D=T-47D t3UROTHELIA=Urothelia\
subGroup3 treatment Treatment CTCFSHRNA=CTCF_shRNA_knockdown RANDSHRNA=Randomized_shRNA_Control DM002P1H=DMSO_0.02% EST10NM1H=Estradiol_10_nM_1_h EST10NM30M=Estradiol_10_nM_30_m ESTRO=Estrogen HYPOXLAC=Hypoxia_LacAcid HYPOXLACCON=Hypoxia_LacAcid_Control IFNa4h=IFN-α_4_h LENTICON=Lenti-Control LENTIMYOD=Lenti-MyoD METHYLT=Methyltrienolone (androgen) NABUT=NaBut SAHA1U72HR=SAHA_1_µM_72_h SAHACTRL=SAHA_Control SERUMFREE=Serum_Free_Media A4TAM10030=4-OHTAM_100_nM_30_m UT189=UT189 G1PHASE=G1_phase G2MPHASE=G2-M_phase zNONE=None\
superTrack wgEncodeDNAseSuper dense\
track wgEncodeOpenChromDnase\
type bed 3\
useScore 0\
wgEncodeOpenChromDnaseViewPeaks Duke DNaseI HS bed 3 Open Chromatin by DNaseI HS from ENCODE/OpenChrom(Duke University) 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Open Chromatin by DNaseI HS from ENCODE/OpenChrom(Duke University)\
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view Peaks\
visibility pack\
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wgEncodeMapabilityViewDuniq Duke Uniqueness bed 3 Mappability or Uniqueness of Reference Genome from ENCODE 2 100 0 0 0 127 127 127 0 0 0 map 1 autoScale off\
longLabel Mappability or Uniqueness of Reference Genome from ENCODE\
maxHeightPixels 100:32:16\
parent wgEncodeMapability\
shortLabel Duke Uniqueness\
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wgEncodeChromSuper ENC Chromatin ENCODE Chromatin Interactions 0 100 0 0 0 127 127 127 0 0 0 \
Description
\
\
These tracks display evidence of chromatin interactions in ENCODE cell types.\
A chromatin interaction is defined as two regions of the genome that are far apart in terms of genomic distance, but are spatially proximate to each other in the 3-dimensional cellular nucleus.\
Binding sites are also displayed when a transcription factor is used in the assay.\
A binding site is defined as a region of the genome that is highly enriched by specific Chromatin Immunoprecipitation (ChIP) against a transcription factor, which indicates that the transcription factor binds specifically to this region. \
\
ChIA-PET:\
The Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) (Li 2010, Fullwood 2010) track shows the locations of RNA polymerase II-bound (RNAPII-bound) chromatin interactions determined by Paired-End Tag (PET) sequencing using proximity-ligated chromatin extracts from human cell lines.\
The RNAPII ChIA-PET experiment generates RNAPII binding sites. \
Generally, a chromatin interaction is more likely to connect two RNAPII binding sites together. \
\
5C:\
Chromosome Conformation Capture Carbon Copy (5C) (Dostie 2006) maps genomic interactions of a focused set of restriction enzymes. \
The three-dimensional organization of chromosomes and chromatin domains is obtained by cross-linking, digestion, ligation and then detection (Dekker 2002).\
\
Display Conventions
\
These are multi-view composite tracks that contains multiple\
data types controllable using the 'Select view' function as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.
\
Further details on display conventions and data interpretation are available in the subtrack descriptions.
\
\
Credits \
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks. \
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column on the track configuration page \
and the download page. The full data release policy\
for ENCODE is available\
here.
DNA methylation is essential for normal development and is\
associated with silencing large regions of DNA through processes such\
as imprinting and X-chromosome inactivation. The majority of CpG\
dinucleotides are methylated in mammals. Unmethylated CpGs occur\
in segments called "CpG islands", which often lie upstream of\
genes in the regulatory regions and impact transcription. \
\
\
Display Conventions
\
These tracks are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.\
Credits
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks \
may contain data that is relevant to the data in these tracks.\
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here. \
\
regulation 0 group regulation\
longLabel ENCODE DNA Methylation\
shortLabel ENC DNA Methyl\
superTrack on\
track wgEncodeDnaMethylSuper\
wgEncodeDNAseSuper ENC DNase/FAIRE ENCODE Open Chromatin by DNaseI HS and FAIRE 0 100 0 0 0 127 127 127 0 0 0
Description
\
These tracks display evidence of open chromatin in \
ENCODE \
cell types. \
Open chromatin describes segments of DNA that are unpacked and accessible\
to the regulatory factors, enzymes, and smaller molecules in the cell.\
This is in contrast to closed chromatin, which is packed and\
inaccessible. Transcriptionally-active chromatin tends to be more open,\
while condensed, densely-packed chromatin tends to be silent.\
\
Open chromatin was identified using complementary methods including:\
DNaseI hypersensitivity (HS), Formaldehyde-Assisted Isolation of\
Regulatory Elements (FAIRE), and chromatin immunoprecipitation (ChIP)\
for select regulatory factors. \
\
DNaseI HS: DNaseI is an enzyme\
that has long been used to map\
general chromatin accessibility, and DNaseI "hyperaccessibility" or\
"hypersensitivity" is a feature of active cis-regulatory sequences. The\
use of this method has led to the discovery of functional regulatory\
elements that include enhancers, silencers, insulators, promotors,\
locus control regions and novel elements. DNaseI hypersensitivity\
signifies chromatin accessibility following binding of trans-acting\
factors in place of a canonical nucleosome. \
\
FAIRE: FAIRE (Formaldehyde\
Assisted Isolation of Regulatory\
Elements) is a method to isolate and identify nucleosome-depleted\
regions of the genome. FAIRE was initially discovered in yeast and\
subsequently shown to identify active regulatory elements in human\
cells (Giresi et al., 2007). Although less well-characterized than\
DNase, FAIRE also appears to identify functional regulatory elements\
that include enhancers, silencers, insulators, promotors, locus control\
regions and novel elements. \
\
ChIP: ChIP (Chromatin\
Immunoprecipitation) is a method to identify\
the specific location of proteins that are directly or indirectly bound\
to genomic DNA. By identifying the binding location of\
sequence-specific transcription factors, general transcription\
machinery components, and chromatin factors, ChIP can help in the\
functional annotation of the open chromatin regions identified by\
DNaseI HS mapping and FAIRE. \
\
Display Conventions
\
These tracks are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.\
Credits \
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks. \
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here. \
\
regulation 0 group regulation\
longLabel ENCODE Open Chromatin by DNaseI HS and FAIRE\
shortLabel ENC DNase/FAIRE\
superTrack on\
track wgEncodeDNAseSuper\
wgEncodeHistoneSuper ENC Histone ENCODE Histone Modification 0 100 0 0 0 127 127 127 0 0 0
Description
\
These tracks display maps of chromatin state\
of ENCODE cell\
types. Histones are a group of closely-related proteins that together\
form the nucleosome. There are six histone families: H1, H2A, H2B,\
H3, H4, and H5. Each nucleosome core is formed by two H2A-H2B dimers and\
a H3-H4 tetramer, while H1 and H5 bind the nucleosome and DNA. When\
histone proteins undergo post-transcriptional modifications at specific\
amino acids (methylation, acyetylation), these modifications (referred\
to as marks) perform a role in regulating the winding of the\
DNA around the nucleosome. This in turn regulates gene expression by\
controlling the accessibility of the chromatin. Histone marks vary in\
their effect. Promoters, enhancers, transcribed regions, and silenced\
regions are each associated with specific histone marks.
\
\
The ChIP-seq method enables identifying regions of DNA that interact\
with specific histone marks. This method involves cross-linking\
histones and other DNA associated proteins to genomic DNA within cells\
using formaldehyde. The cross-linked chromatin is subsequently\
extracted, mechanically sheared, and immunoprecipitated using specific\
antibodies. This has the effect of capturing segments of DNA that are\
bound to the protein selected by the antibody. After reversal of\
cross-links, the immunoprecipitated DNA is sequenced and mapped to the\
human reference genome. The relative enrichment of each antibody-target\
(epitope) across the genome is inferred from the density of mapped\
fragments. If the antibody is specific to a given histone mark, then\
this procedure identifies segments of the genome associated with that\
mark.
\
\
Display Conventions
\
\
These tracks are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.
\
Credits
\
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks.
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here.\
In eukaryotic organisms, gene regulatory networks require an\
additional level of coordination that links transcriptional and\
post-transcriptional processes. Messenger RNAs (mRNAs) have\
traditionally been viewed as passive molecules in the pathway from\
transcription to translation. However, it is now clear that RNA-binding\
proteins (RBPs) play a major role in regulating multiple mRNAs in order\
to facilitate gene expression patterns. \
\
These tracks can elucidate RNA processing by identifying RNA\
molecules that interact with specific RBPs. They were developed using\
assays that first purify mRNA-RBP complexes and then separate the\
complexes to identify the target mRNAs bound to specific RBPs. The\
mRNAs can be identified by methods including sequencing, microarrays,\
and SAGE. \
\
The tracks in this supertrack contain two forms of information: genes\
whose transcripts were bound by the given RBP (such as SUNY RIP GeneSt)\
and approximate location of the RBP binding site in the mRNA sequence\
(such SUNY RIP Tiling and SUNY RIP-seq). \
\
\
Please note:
\
\
RIP input tracks (both array and sequencing based) were created for use\
in downstream informatic analysis to produce RBP specific RIP tracks.\
Low abundance RNA that is undetectable in the input samples may be\
proportionally enriched to the point of detection in the RIPs. This may\
be confusing to some users expecting\
to see RIP as a subset of input. Users seeking information on total\
RNA should examine the "expression" RNA-seq tracks produced by other\
ENCODE groups.\
\
\
Display Conventions and Configuration
\
\
\
These tracks are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most\
ENCODE\
tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display\
controls\
on the track details pages.
\
\
Credits
\
\
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks\
may contain data that is relevant to the data in these tracks.
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until nine months following the release of the dataset. This date is\
listed in the Restricted Until column on the track configuration page\
and the download page. The full data release policy for ENCODE is\
available here.\
\
Transcription is regulated through the binding of transcription factor\
proteins to specific cis-level regulatory sites in the DNA.\
The nature of this regulation depends on the transcription factor.\
For example, some proteins activate transcription by recruiting RNA\
polymerase, some repress transcription by suppressing this\
recruitment, and others insulate proximal regions from the activity of\
nearby transcriptional activators or repressors.\
A key characteristic of each transcription factor protein is its DNA\
binding domain. Each DNA binding domain recognizes and interacts with\
DNA that matches a specific nucleotide pattern, or motif. These\
motifs tend to be short and degenerate, so even when the DNA binding\
motif is known, one cannot generally predict where a given\
transcription factor may bind. In general, transcription factor\
binding is determined experimentally.\
\
\
These tracks contain transcription factor binding sites determined by\
ChIP-seq. This process involves fragmenting DNA, selecting the\
fragments of DNA that are bound by a certain transcription factor, and\
sequencing those DNA fragments. This generally yields a large library\
of DNA sequences, including some that were bound by the transcription\
factor directly, some that were bound indirectly via interactions with\
other molecules, and some false positives (such as cases of\
nonspecific binding). With the appropriate analysis methods, ChIP-seq can be \
a valuable approach for elucidating transcription factor binding and \
cis-level regulation.\
\
\
\
Display Conventions
\
\
These tracks are multi-view composite tracks that contains multiple\
data types (views). Each view within each track\
has separate display controls, as described here.\
Most ENCODE tracks contain multiple subtracks, corresponding to\
multiple experimental conditions. If a track contains a large\
number of subtracks, only some subtracks will be displayed by default.\
The user can select which subtracks are displayed via the display controls\
on the track details pages.\
\
Credits
\
\
These data were generated and analyzed as part of the ENCODE project, a\
genome-wide consortium project with the aim of cataloging all\
functional elements in the human genome. This effort includes\
collecting a variety of data across related experimental conditions, to\
facilitate integrative analysis. Consequently, additional ENCODE tracks may \
contain data that is relevant to the data in these tracks. \
\
\
\
External data users may freely download, analyze and publish results based on\
any ENCODE data without restrictions as soon as they are released.\
The full policy is available here:\
ENCODE Data Use Policy for External Users\
regulation 0 group regulation\
longLabel ENCODE Transcription Factor Binding\
shortLabel ENC TF Binding\
superTrack on\
track wgEncodeTfBindingSuper\
encodeRegions ENCODE Pilot bed 4 . Regions Used for ENCODE Pilot Project (1%) 0 100 150 100 30 202 177 142 0 0 21 chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr18,chr19,chr2,chr20,chr21,chr22,chr4,chr5,chr6,chr7,chr8,chr9,chrX,
Description
\
\
This track depicts target regions for the \
NHGRI ENCODE \
project.\
The long-term goal of this project is to identify all functional elements \
in the human genome sequence to facilitate a better understanding of human \
biology and disease.
\
\
During the pilot phase, 44 regions comprising 30 Mb — approximately \
1% of the human genome — have been selected for intensive study to identify, \
locate and analyze functional elements within the regions. These targets are \
being studied by a diverse public research consortium to test and evaluate the\
efficacy of various methods, technologies, and strategies for locating \
genomic features. The outcome of this initial phase will form the basis for a \
larger-scale effort to analyze the entire human genome.
\
\
See the NHGRI target \
selection process web page for a description of how the target \
regions were selected.
\
\
To open a UCSC Genome Browser with a menu for selecting ENCODE regions on the \
human genome, use ENCODE Regions in the UCSC Browser. The UCSC resources \
provided for the ENCODE project are described on the \
UCSC ENCODE Portal.
\
\
Credits
\
\
Thanks to the NHGRI ENCODE project for providing this initial set of data.
\
\
map 1 chromosomes chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr18,chr19,chr2,chr20,chr21,chr22,chr4,chr5,chr6,chr7,chr8,chr9,chrX\
color 150,100,30\
dataVersion ENCODE June 2005 Freeze\
group map\
longLabel Regions Used for ENCODE Pilot Project (1%)\
origAssembly hg16\
shortLabel ENCODE Pilot\
track encodeRegions\
type bed 4 .\
visibility hide\
ensGene Ensembl Genes genePred ensPep Ensembl Genes 0 100 150 0 0 202 127 127 0 0 0
Description
\
\
\
These gene predictions were generated by Ensembl.\
\
\
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Methods
\
\
\
For a description of the methods used in Ensembl gene predictions, please refer to\
Hubbard et al. (2002), also listed in the References section below. \
\
For programmatic access, the data can be queried from the \
REST API or\
directly from our public MySQL\
servers. Instructions on this method are available on our\
MySQL help page and on\
our blog.
\
We would like to thank Ensembl for providing these gene annotations. For more information, please see\
Ensembl's genome annotation page.\
\
\
References
\
\
\
Hubbard T, Barker D, Birney E, Cameron G, Chen Y, Clark L, Cox T, Cuff J,\
Curwen V, Down T et al.\
The Ensembl genome database project.\
Nucleic Acids Res. 2002 Jan 1;30(1):38-41.\
PMID: 11752248; PMC: PMC99161\
\
This track shows RNA secondary structure predictions made with the\
EvoFold program, a comparative method that exploits the evolutionary signal\
of genomic multiple-sequence alignments for identifying conserved\
functional RNA structures.
\
\
Display Conventions and Configuration
\
\
Track elements are labeled using the convention ID_strand_score.\
When zoomed out beyond the base level, secondary structure prediction regions\
are indicated by blocks, with the stem-pairing regions shown in a darker shade \
than unpaired regions. Arrows indicate the predicted strand.\
When zoomed in to the base level, the specific secondary structure predictions \
are shown in parenthesis format. The confidence score for each position is\
indicated in grayscale, with darker shades corresponding to higher scores.\
\
The details page for each track element shows the predicted secondary structure \
(labeled SS anno), together with details of the multiple species \
alignments at that location. Substitutions relative to the human sequence are \
color-coded according to their compatibility with the predicted secondary \
structure (see the color legend on the details page). Each prediction is \
assigned an overall score and a sequence of position-specific scores. The \
overall score measures evidence for any functional RNA structures in the given \
region, while the position-specific scores (0 - 9) measure the confidence of \
the base-specific annotations. Base-pairing positions are annotated \
with the same pair symbol. The offsets are provided to ease\
visual navigation of the alignment in terms of the human sequence. The offset\
is calculated (in units of ten) from the start position of the element on \
the positive strand or from the end position when on the negative strand.
\
\
The graphical display may be filtered to show only those track elements \
with scores that meet or exceed a certain threshhold. To set a \
threshhold, type the minimum score into the text box at the top of the \
description page.
\
\
Methods
\
\
Evofold makes use of phylogenetic\
stochastic context-free grammars (phylo-SCFGs), which are combined\
probabilistic models of RNA secondary structure and primary sequence\
evolution. The predictions consist of both a specific RNA secondary\
structure and an overall score. The overall score is essentially a\
log-odd score between a phylo-SCFG modeling the constrained evolution of\
stem-pairing regions and one which only models unpaired regions.
\
\
The predictions for this track were based on the conserved elements of\
an 8-way vertebrate alignment of the human, chimpanzee, mouse, rat,\
dog, chicken, zebrafish, and Fugu assemblies. NOTE: These predictions\
were originally computed on the hg17 (May 2004) human assembly, from\
which the hg16 (July 2003), hg18 (May 2006), and hg19 (Feb 2009) predictions\
were lifted. As a result, the multiple alignments shown on the track\
details pages may differ from the 8-way alignments used for their\
prediction. Additionally, some weak predictions have been eliminated\
from the set displayed on hg18 and hg19. The hg17 prediction set corresponds\
exactly to the set analyzed in the EvoFold paper referenced below.\
\
\
Credits
\
\
The EvoFold program and browser track were developed by \
Jakob Skou Pedersen\
of the UCSC Genome Bioinformatics Group, now at \
Aarhus University, Denmark.
\
The RNA secondary structure is rendered using the VARNA Java applet.\
\
\
genes 1 color 20,90,0\
group genes\
longLabel EvoFold Predictions of RNA Secondary Structure\
mafTrack multiz46way\
origAssembly hg17\
pennantIcon 17.jpg ../goldenPath/help/liftOver.html "lifted from hg17"\
shortLabel EvoFold\
track evofold\
type bed 6 +\
visibility hide\
evsEsp6500 EVS Variants vcfTabix NHLBI GO Exome Sequencing Project (ESP) - Variants from 6,503 Exomes 0 100 0 0 0 127 127 127 0 0 24 chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr2,chr20,chr21,chr22,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chrX,chrY, http://evs.gs.washington.edu/EVS/PopStatsServlet?searchBy=rsOrChrom&target=$$&chromosome=$s&chromoStart=${&chromoEnd=$}&x=0&y=0
\
Description
\
\
The goal of the \
NHLBI GO Exome Sequencing Project (ESP) \
is to discover novel genes and mechanisms contributing to heart, lung and blood disorders by \
pioneering the application of next-generation sequencing of the protein coding regions of the \
human genome across diverse, richly-phenotyped populations and to share these datasets and \
findings with the scientific community to extend and enrich the diagnosis, management and \
treatment of heart, lung and blood disorders. The current data release (ESP6500SI-V2-SSA137) \
through the \
EVS website \
is taken from 6,503 samples drawn from multiple \
ESP cohorts \
and represents all of the ESP exome variant data.\
\
\
In "dense" mode, a vertical line is drawn at the position of each\
variant.\
In "pack" and "full" modes, in addition to the vertical line, a label to \
the left shows the reference allele first and variant alleles below \
(A = red, C = blue, \
G = green, T = magenta, \
Indels = black).\
Hovering the pointer over any variant will prompt the display of the occurrences numbers for each\
allele in the Exome Sequencing Project's database. Clicking on any variant will result in \
full details of that variant being displayed as well as possible links to the ESP and dbSNP \
databases.
\
\
Methods
\
\
Sequences were aligned to NCBI build 37 human genome reference using BWA. PCR duplicates \
were removed using Picard. Alignments were recalibrated using GATK. Lane-level indel realignments \
and base alignment quality (BAQ) adjustments were applied.\
\
\
All data were simultaneously analyzed for exome SNP variants at the University of Michigan \
(by the Abecasis Laboratory). SNPs were called using a two-step approach. First, genotype \
likelihood files (GLFs) were generated using samtools pileup on individual BAM files. Next, \
we used glfMultiples, a multi-sample variant caller, to generate initial SNP calls. Details of\
the likelihood model implemented in glfMultiples are given in Li, et al., 2011\
(in the section entitled "Identifying Potential Polymorphic Sites"). The Michigan SNP calling pipeline\
is available at: \
http://genome.sph.umich.edu/wiki/UMAKE. \
This pipeline makes diploid calls for pseudo-autosomal regions of male samples and haploid \
calls for the rest of the chromosome. Female samples have diploid calls for all regions on \
the X chromosome. SNPs were filtered by a machine-learning technique called support \
vector machine (SVM) classification (for a detailed description, see \
Filter Status).\
\
\
Small INDEL variants were analyzed at the Broad Institute (by the Genome Sequencing and \
Analysis group) using the \
GATK \
variation discovery pipeline following the guidelines in the \
GATK best practices v4. \
More specifically, each BAM was reduced to create a Reduced BAM, and then INDELs were \
discovered by analyzing all samples simultaneously with the GATK \
UnifiedGenotyper,\
and subsequently filtered by the GATK Variant Quality Score Recalibration (VQSR) filtering \
model, again following the V4 best practices. The INDEL genotypes for X and Y chromosomes\
were adjusted to be consistent with the samples' genders. Female samples have diploid calls \
for all regions on the X chromosome. Male samples have diploid calls for pseudo-autosomal \
regions on the X chromosome and haploid calls for the rest of the X chromosome and on the \
Y chromosome as well. However, the INDEL calls for the ESP data are preliminary and not as \
robust as the SNP calls at this point. Users are advised to keep this difference in mind \
when applying the ESP data to research studies.\
\
All SNPs and INDELs were further annotated by \
SeattleSeqAnnotation137, \
and the variant annotations at the coding-DNA and protein levels mostly follow \
HGVS \
notations.\
\
The SNP calls are included in the release of dbSNP build 138. The full dataset is described in\
Fu, et al., 2013, and a subset of the data (i.e., 2,500 exomes) was published by the ESP Population\
Genetics and Statistical Analysis Working Group in Tennessen, et al., 2012.\
\
varRep 1 chromosomes chr1,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr2,chr20,chr21,chr22,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chrX,chrY\
group varRep\
longLabel NHLBI GO Exome Sequencing Project (ESP) - Variants from 6,503 Exomes\
maxWindowToDraw 5000000\
shortLabel EVS Variants\
track evsEsp6500\
type vcfTabix\
url http://evs.gs.washington.edu/EVS/PopStatsServlet?searchBy=rsOrChrom&target=$$&chromosome=$s&chromoStart=${&chromoEnd=$}&x=0&y=0\
urlLabel Exome Variant Server:\
vcfDoFilter off\
vcfDoQual off\
visibility hide\
exac ExAC bed 3 Exome Aggregation Consortium (ExAC) Variants and Calling Regions 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows over 8.75 million single nucleotide variants (SNVs)\
and over 600,000 insertions or deletions (indels)\
as well as exome variant calling regions\
in 60,706 unrelated individuals sequenced as part of various population genetic \
and disease-specific \
studies\
collected by the\
Exome Aggregation Consortium (ExAC),\
release 0.3.\
Raw data from all studies have been reprocessed through a unified pipeline and jointly\
variant-called to increase consistency across projects.\
For more information on the processing pipeline and population annotations,\
see the release files\
\
README.release0.3\
and\
\
README.population_annotations\
respectively.\
\
\
Display Conventions
\
\
For the variants subtrack,\
in "dense" mode, a vertical line is drawn at the position of each variant.\
In "pack" mode, ref and alt alleles are displayed to the left of a vertical\
line with colored portions corresponding to allele counts. Hovering the mouse pointer\
over a variant pops up a display of alleles and counts.\
\
\
Data Access
\
\
\
The raw data can be explored interactively with the \
Table Browser, or the\
Data Integrator.\
For automated analysis, the genome annotation is stored in a bigBed file that can be downloaded from the\
download server.\
The underlying data files for this track are called\
ExAC.r0.3.sites.vep.hg19.vcf.gz and exacCallingRegions.bb. \
Individual regions or the whole genome annotation can be obtained using our tool bigBedToBed \
which can be compiled from the source code or downloaded as a precompiled binary\
for your system. Instructions for downloading source code and binaries can be found\
here. \
The tool can also be used to obtain only features within a given range, for example: \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/ExAC/exacCallingRegions.bb -chrom=chr6 -start=0 -end=1000000 stdout \
\
Please refer to our mailing list archives\
for questions, or our Data Access FAQ for more information. \
\
\
Credits
\
\
Thanks to the\
Exome Aggregation Consortium\
for making these data available in advance of publication. The data are released under a\
Fort Lauderdale Agreement; please email\
\
exomeconsortium@gmail.com\
\
with any further questions and please reference the 2016 paper.\
\
The tracks that are listed here contain data from unrelated individuals sequenced as part of\
various population-genetic and disease-specific studies collected by the Genome Aggregation Database (gnomAD).\
Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the\
studies. However, some individuals with severe disease may still have remained in the datasets,\
although probably at an equivalent or lower frequency than observed in the general population. Raw\
data from all studies have been reprocessed using a standardized pipeline and jointly variant-called\
process, which aims to increase consistency between projects. For more information on the processing\
pipeline and population annotations, see the following blog post gnomAD,\
gnomAD v2.1 \
and the 2.0.2 README.
\
\
\
The available data tracks are:\
\
Genome Variants \
(gnomAD Genomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 15,708 \
unrelated individuals' genome sequences from the v2.1.1 release.
\
Exome \
Variants (gnomAD Exomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 125,748 \
unrelated individuals' exome sequences from the v2.1.1 release.
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described here. Most gnomAD tracks contain\
multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some\
subracks will be displayed by default. The user can select which subtracks are displayed via the\
display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
The tracks that are listed here contain data from unrelated individuals sequenced as part of\
various population-genetic and disease-specific studies collected by the Genome Aggregation Database (gnomAD).\
Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the\
studies. However, some individuals with severe disease may still have remained in the datasets,\
although probably at an equivalent or lower frequency than observed in the general population. Raw\
data from all studies have been reprocessed using a standardized pipeline and jointly variant-called\
process, which aims to increase consistency between projects. For more information on the processing\
pipeline and population annotations, see the following blog post gnomAD,\
gnomAD v2.1 \
and the 2.0.2 README.
\
\
\
The available data tracks are:\
\
Genome Variants \
(gnomAD Genomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 15,708 \
unrelated individuals' genome sequences from the v2.1.1 release.
\
Exome \
Variants (gnomAD Exomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 125,748 \
unrelated individuals' exome sequences from the v2.1.1 release.
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described here. Most gnomAD tracks contain\
multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some\
subracks will be displayed by default. The user can select which subtracks are displayed via the\
display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
\
varRep 0 aggregate none\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX\
html gnomad\
longLabel Genome Aggregation Database (gnomAD) Percentage of Exome Samples with at least nX Coverage\
maxHeightPixels 100:16:8\
parent gnomadCoverage\
shortLabel Exome Coverage %\
showSubtrackColorOnUi on\
track gnomadExomesReadDepthPct\
type bigWig 0 1\
view eRDepth\
viewLimits 0:1\
visibility hide\
exomeProbesets Exome Probesets bigBed Exome Capture Probesets and Targeted Region 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This set of tracks shows the genomic positions of probes and targets from a full \
suite of in-solution-capture target enrichment exome kits for Next Generation Sequencing (NGS)\
applications. Also known as exome sequencing or whole exome sequencing (WES), \
this technique allows high-throughput parallel sequencing of all exons (e.g., coding regions of genes \
which affect protein function), constituting about 1% of the human genome, or approximately 30 \
million base pairs.\
\
Items are shaded according to manufacturing company:\
\
IDT (Integrated DNA Technologies)
\
Twist Biosciences
\
MGI Tech (Beijing Genomics Institute)
\
Roche NimbleGen
\
Agilent Technologies
\
Illumina
\
\
\
\
\
Tracks labeled as Probes (P) indicate the footprint of the oligonucleotide probes\
mapped to the human genome. This is the technically relevant targeted region by the assay. However, \
the sequenced region will be bigger than this since flanking sequences are sequenced as well. \
Tracks labeled as Target Regions (T) indicate the genomic regions targeted by the\
assay. This is the biologically relevant target region. Not all targeted regions\
will necessarily be sequenced perfectly; there might be some capture bias at certain locations.\
The Target\
Regions are those normally used for coverage analysis. \
\
\
Note that most exome probesets are available on hg19 only. If you are working with hg38 and cannot find\
a particular probeset there, try to go to hg19, configure the same track, and\
see if it exists there. If you cannot find an array, do not hesitate to send us\
an email with the name of the manufacturer website with the probe file. If\
an array is available on hg19 but not on hg38 and you need it for your work, we\
can lift the locations. Our mailing list can be reached at genome@soe.ucsc.edu.\
\
\
Methods
\
\
\
The capture of the genomic regions of interest using in-solution capture, is achieved \
through the hybridization of a set of probes (oligonucleotides) with a sample of fragmented genomic \
DNA in a solution environment. The probes hybridize selectively to the genomic regions of interest \
which, after a process of exclusion of the non-selective DNA material, can be pulled down and \
sequenced, enabling selective DNA sequencing of the genomic regions of interest (e.g., exons).\
In-solution capture sequencing is a sensitive method to detect single nucleotide variants, \
insertions and deletions, and copy number variations.\
\
\
\
\
\
\
Kit
\
Targeted Region
\
Databases Used for Design
\
Year of Release
\
\
\
IDT - xGen Exome Research Panel V1.0
\ \ \ \ \
39 Mb
\
Coding sequences from RefSeq (19,396 genes)
\
2015
\
\
\
IDT - xGen Exome Research Panel V2.0
\
34 Mb
\
Coding sequences from RefSeq 109 (19,433 genes)
\
2020
\
\
\
Twist - RefSeq Exome Panel
\
3.6 Mb
\
Curated subset of protein coding genes from CCDS
\
N/A
\
\
\
Twist - Core Exome Panel
\
33 Mb
\
Protein coding genes from CCDS
\
N/A
\
\
\
Twist - Comprehensive Exome Panel
\
36.8 Mb
\
Protein coding genes from RefSeq, CCDS, and GENCODE
\
2020
\
\
\
Twist - Exome Panel 2.0
\
36.4 Mb
\
Protein coding genes from RefSeq, CCDS, and GENCODE
\
2021
\
\
\
MGI - Easy Exome Capture V4
\
59 Mb
\
CCDS, GENCODE, RefSeq, and miRBase
\
N/A
\
\
\
MGI - Easy Exome Capture V5
\
69 Mb
\
CCDS, GENCODE, RefSeq, miRBase, and MGI Clinical Database
\
N/A
\
\
\
Agilent - SureSelect Clinical Research Exome
\
54 Mb
\
Disease-associated regions from OMIM, HGMD, and ClinVar
\
2014
\
\
\
Agilent - SureSelect Clinical Research Exome V2
\
63.7 Mb
\
Disease-associated regions from OMIM, HGMD, ClinVar, and ACMG
\
2017
\
\
\
Agilent - SureSelect Focused Exome
\
12 Mb
\
Disease-associated regions from HGMD, OMIM and ClinVar
\
2016
\
\
\
Agilent - SureSelect All Exon V4
\
51 Mb
\
Coding regions from CCDS, RefSeq, and GENCODE v6, miRBase v17, TCGA v6, and UCSC known genes
\
2011
\
\
\
Agilent - SureSelect All Exon V4 + UTRs
\
71 Mb
\
Coding regions and 5' and 3' UTR sequences from CCDS, RefSeq, and GENCODE v6, regions from miRBase v17, TCGA v6, and UCSC known genes
\
2011
\
\
\
Agilent - SureSelect All Exon V5
\
50 Mb
\
Coding regions from Refseq, GENCODE, UCSC, TCGA, CCDS, and miRBase (21.522 genes)
\
2012
\
\
\
Agilent - SureSelect All Exon V5 + UTRs
\
74 Mb
\
Coding regions and 5' and 3' UTR sequences from Refseq, GENCODE, UCSC, TCGA, CCDS, and miRBase (21.522 genes)
\
2012
\
\
\
Agilent - SureSelect All Exon V6 r2
\
60 Mb
\
Coding regions from RefSeq, CCDS, GENCODE, HGMD, and OMIM
\
2016
\
\
\
Agilent - SureSelect All Exon V6 + COSMIC r2
\
66 Mb
\
Coding regions from RefSeq, CCDS, GENCODE, HGMD, and OMIM, and targets from both TCGA and COSMIC
\
2016
\
\
\
Agilent - SureSelect All Exon V6 + UTR r2
\
75 Mb
\
Coding regions and 5' and 3' UTR sequences from RefSeq, GENCODE, CCDS, and UCSC known genes,and miRNAs and lncRNA sequences
\
2016
\
\
\
Agilent - SureSelect All Exon V7
\
35.7 Mb
\
Coding regions from RefSeq, CCDS, GENCODE, and UCSC known genes
\
2018
\
\
\
Roche - KAPA HyperExome
\
43Mb
\
Coding regions from CCDS, RefSeq, Ensembl, GENCODE,and variants from ClinVar
\
2020
\
\
\
Roche - SeqCap EZ Exome V3
\
64 Mb
\
Coding regions from RefSeq RefGene CDS, CCDS, and miRBase v14 databases, plus coverage of 97% Vega, 97% Gencode, and 99% Ensembl
\
2018
\
\
\
Roche - SeqCap EZ Exome V3 + UTR
\
92 Mb
\
Coding sequences from RefSeq RefGene, CCDS, and miRBase v14, plus coverage of 97% Vega, 97% Gencode, and 99% Ensembl and UTRs from RefSeq RefGene table from UCSC GRCh37/hg19 March 2012 and Ensembl (GRCh37 v64)
\
2018
\
\
\
Roche - SeqCap EZ MedExome
\
47 Mb
\
Coding sequences from CCDS 17, RefSeq, Ensembl 76, VEGA 56, GENCODE 20, miRBase 21, and disease-associated regions from GeneTests, ClinVar, and based on customer input
\
2014
\
\
\
Roche - SeqCap EZ MedExome + Mito
\
47 Mb
\
Coding sequences and mitochondrial genes from CCDS 17, RefSeq, Ensembl 76, VEGA 56, GENCODE 20 and miRBase 21, disease-associated regions from GeneTests, ClinVar, and based on customer input
\
2014
\
\
\
Illumina - Nextera DNA Exome V1.2
\
45 Mb
\
Coding regions from RefSeq, CCDS, Ensembl, and GENCODE v19
\
2015
\
\
\
Illumina - Nextera Rapid Capture Exome
\
37 Mb
\
212,158 targeted exonic regions with start and stop chromosome locations in GRCh37/hg19
\
2013
\
\
\
Illumina - Nextera Rapid Capture Exome V1.2
\
37 Mb
\
Coding regions from RefSeq, CCDS, Ensembl, and GENCODE v12
\
2014
\
\
\
Illumina - Nextera Rapid Capture Expanded Exome
\
66 Mb
\
Coding regions from RefSeq, CCDS, Ensembl, and GENCODE v12
\
2013
\
\
\
Illumina - TruSeq DNA Exome V1.2
\
45 Mb
\
Coding regions from RefSeq, CCDS, and Ensembl
\
2017
\
\
\
Illumina - TruSeq Rapid Exome V1.2
\
45 Mb
\
Coding regions from RefSeq, CCDS, Ensembl, and GENECODE v19
\
2015
\
\
\
Illumina - TruSight ONE V1.1
\
12 Mb
\
Coding regions of 6700 genes from HGMD, OMIM, and GeneTest
\
2017
\
\
\
Illumina - TruSight Exome
\
7 Mb
\
Disease-causing mutations as curated by HGMD
\
2017
\
\
\
Illumina - AmpliSeq Exome Panel
\
N/A
\
CCDS coding regions
\
2019
\
\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser\
or cross-referenced with Data Integrator. The data can be\
accessed from scripts through our API, with track names\
found in the Table Schema page for each subtrack after "Primary Table:".\
\
\
For downloading the data, the annotations are stored in bigBed files that\
can be accessed at\
\
our download directory. \
Regional or the whole genome text annotations can be obtained using our utility \
bigBedToBed. Instructions for downloading utilities can be found\
here.\
\
\
Credits
\
\
\
Thanks to Illumina (U.S.), Roche NimbleGen, Inc. (U.S.), Agilent Technologies (U.S.), MGI Tech\
(Beijing Genomics Institute, China), Twist Bioscience (U.S.), and Integrated DNA Technologies (IDT),\
Inc. (U.S.) for making these data available and to Tiana Pereira, Pranav Muthuraman, Began Nguy\
and Anna Benet-Pages for enginering these tracks.\
\
The exoniphy program identifies evolutionarily conserved protein-coding\
exons in a multiple alignment using a phylogenetic hidden Markov\
model (phylo-HMM), a statistical model that simultaneously\
describes exon structure and exon evolution. This track shows exoniphy\
predictions for the human Feb. 2009 (GRCh37), mouse Jul. 2007 (mm9), rat\
Nov. 2004 (rn4), and dog May 2005 (canFam2) genomes, as aligned by the\
multiz program. For this track, only alignments on the "syntenic \
net" between human and each other species were considered. \
\
\
Methods
\
\
For a description of exoniphy, see Siepel et al., 2004.\
Multiz is described in Blanchette et al., 2004.\
The alignment chaining methods behind the "syntenic net" are \
described in Kent et al., 2003.
\
\
Acknowledgments
\
\
Thanks to Melissa Hubisz of the Siepel lab at Cornell University for \
producing these predictions.\
\
genes 1 color 173,17,162\
group genes\
longLabel Exoniphy Human/Mouse/Rat/Dog\
shortLabel Exoniphy\
track exoniphy\
type genePred\
visibility hide\
wgEncodeOpenChromFaireViewSignal FAIRE F-Seq Density Signal bed 3 Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill) 2 100 0 0 0 127 127 127 1 0 0 regulation 1 autoScale off\
longLabel Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill)\
maxHeightPixels 100:32:16\
maxLimit 0.3\
minLimit 0\
parent wgEncodeOpenChromFaire\
shortLabel FAIRE F-Seq Density Signal\
track wgEncodeOpenChromFaireViewSignal\
view SIG\
viewLimits 0:0.03\
visibility full\
windowingFunction mean+whiskers\
gnomADPextFallopianTube Fallopian Tube bigWig 0 1 gnomAD pext Fallopian Tube 0 100 255 204 204 255 229 229 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/FallopianTube.bw\
color 255,204,204\
longLabel gnomAD pext Fallopian Tube\
parent gnomadPext off\
shortLabel Fallopian Tube\
track gnomADPextFallopianTube\
visibility hide\
fantom5 FANTOM5 FANTOM5: Mapped transcription start sites (TSS) and their usage 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The FANTOM5 track shows mapped transcription start sites (TSS) and their usage in primary cells,\
cell lines, and tissues to produce a comprehensive overview of gene expression across the human\
body by using single molecule sequencing.\
\
\
Display Conventions and Configuration
\
\
Items in this track are colored according to their strand orientation. Blue\
indicates alignment to the negative strand, and red indicates\
alignment to the positive strand.\
\
\
Methods
\
Protocol
\
\
Individual biological states are profiled by HeliScopeCAGE, which is a variation of the CAGE\
(Cap Analysis Gene Expression) protocol based on a single molecule sequencer. The standard protocol\
requiring 5 µg of total RNA as a starting material is referred to as hCAGE, and an\
optimized version for a lower quantity (~ 100 ng) is referred to as LQhCAGE\
(Kanamori-Katyama et al. 2011).\
\
hCAGE
\
LQhCAGE
\
\
\
Samples
\
\
Transcription start sites (TSSs) were mapped and their usage in human and mouse primary cells,\
cell lines, and tissues was to produce a comprehensive overview of mammalian gene expression across the\
human body. 5′-end of the mapped CAGE reads are counted at a single base pair resolution\
(CTSS, CAGE tag starting sites) on the genomic coordinates, which represent TSS activities in the\
sample. Individual samples shown in "TSS activity" tracks are grouped as below.\
\
Primary cell
\
Tissue
\
Cell Line
\
Time course
\
Fractionation
\
\
\
TSS peaks and enhancers
\
\
TSS (CAGE) peaks across the panel of the biological states (samples) are identified by DPI\
(decomposition based peak identification, Forrest et al. 2014), where each of the peaks consists of\
neighboring and related TSSs. The peaks are used as anchors to define promoters and units of\
promoter-level expression analysis. Two subsets of the peaks are defined based on evidence of read\
counts, depending on scopes of subsequent analyses, and the first subset (referred as\
robust set of the peaks, thresholded for expression analysis is shown as TSS peaks. They \
are named as "p#@GENE_SYMBOL" if associated with 5'-end of known genes, or\
"p@CHROM:START..END,STRAND" otherwise. The CAGE data is also used to produce an atlas of active, in\
vivo-transcribed enhancers (Andersson et al. 2014). The summary tracks consist of the TSS (CAGE)\
peaks, and summary profiles of TSS activities (total and maximum values). The summary track consists of the\
following tracks.\
\
TSS (CAGE) peaks\
\
the robust peaks
\
\
Enhancers
\
\
TSS summary profiles\
\
Total counts and TPM (tags per million) in all the samples
\
Maximum counts and TPM among the samples
\
\
\
\
\
TSS activity
\
\
5′-end of the mapped CAGE reads are counted at a single base pair resolution (CTSS, CAGE tag\
starting sites) on the genomic coordinates, which represent TSS activities in the sample. The read\
counts tracks indicate raw counts of CAGE reads, and the TPM tracks indicate normalized counts as\
TPM (tags per million).\
\
\
\
Categories of individual samples
\
- Cell Line hCAGE
\
- Cell Line LQhCAGE
\
- fractionation hCAGE
\
- Primary cell hCAGE
\
- Primary cell LQhCAGE
\
- Time course hCAGE
\
- Tissue hCAGE
\
\
\
FANTOM-NET enhancers
\
\
A set of enhancers consist of the ones identified by Andersson et al. 2014 and the ones by Hirabayashi\
et al. 2019
\
\
FANTOM CAT
\
\
FANTOM CAGE associated transcriptome (FANTOM CAT) is a meta-assembly where FANTOM5 CAGE datasets\
were integrated with transcript models from diverse sources. Transcription Initiation Evidence Score\
(TIEScore) is a custom metric that evaluates the properties of a pair of CAGE cluster and transcript\
model to quantify the likelihood that the corresponding CAGE transcription start site (TSS) is\
genuine. TIEScore was first applied to each of the five transcript model collections separately\
and then merged into a non-redundant transcript set. Specifically, the transcript models from\
GENCODEv19 were used as the initial reference to sequentially overlay onto them the transcripts\
from the other four collections, in sequence of Human BodyMap 2.0, miTranscriptome, ENCODE, and\
FANTOM5 RNA-seq assembly. For more details, please refer to Hon et al. 2017.\
\
\
Data Access
\
\
FANTOM5 data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
The FANTOM5 reprocessed data can be found and downloaded on the FANTOM website.
\
FANTOM Consortium and the RIKEN PMI and CLST (DGT), Forrest AR, Kawaji H, Rehli M, Baillie JK, de\
Hoon MJ, Haberle V, Lassmann T, Kulakovskiy IV, Lizio M et al.\
\
A promoter-level mammalian expression atlas.\
Nature. 2014 Mar 27;507(7493):462-70.\
PMID: 24670764; PMC: PMC4529748\
\
regulation 0 group regulation\
html fantom5.html\
longLabel FANTOM5: Mapped transcription start sites (TSS) and their usage\
shortLabel FANTOM5\
superTrack on\
track fantom5\
visibility hide\
femaleView Female bed 3 deCODE Recombination maps, 10Kb bin size, October 2010 0 100 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 1 longLabel deCODE Recombination maps, 10Kb bin size, October 2010\
parent decodeRmap\
shortLabel Female\
track femaleView\
view female\
visibility hide\
wgEncodeOpenChromDnaseFibroblPk Fibrob Pk narrowPeak Fibrobl DNaseI HS Peaks from ENCODE/Duke 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Fibrobl DNaseI HS Peaks from ENCODE/Duke\
parent wgEncodeOpenChromDnaseViewPeaks off\
shortLabel Fibrob Pk\
subGroups view=Peaks cellType=t3FIBROBL treatment=zNONE\
track wgEncodeOpenChromDnaseFibroblPk\
type narrowPeak\
fishClones FISH Clones bed 5 + Clones Placed on Cytogenetic Map Using FISH 0 100 0 150 0 127 202 127 0 0 0
Description
\
\
This track shows the location of fluorescent in situ hybridization \
(FISH)-mapped clones along the assembly sequence. The locations of\
these clones were obtained from the NCBI Human BAC Resource\
here. Earlier versions of this track obtained this\
information directly from the paper Cheung, et al. (2001).\
\
\
\
More information about the BAC clones, including how they may be obtained, \
can be found at the \
Human BAC Resource and the \
Clone Registry web sites hosted by \
NCBI.\
To view Clone Registry information for a clone, click on the clone name at \
the top of the details page for that item.
\
\
Using the Filter
\
\
This track has a filter that can be used to change the color or \
include/exclude the display of a dataset from an individual lab. This is \
helpful when many items are shown in the track display, especially when only \
some are relevant to the current task. The filter is located at the top of \
the track description page, which is accessed via the small button to the \
left of the track's graphical display or through the link on the track's \
control menu. To use the filter:\
\
In the pulldown menu, select the lab whose data you would like to \
highlight or exclude in the display. \
Choose the color or display characteristic that will be used to highlight \
or include/exclude the filtered items. If "exclude" is chosen, the \
browser will not display clones from the lab selected in the pulldown list. \
If "include" is selected, the browser will display clones only \
from the selected lab.\
\
\
When you have finished configuring the filter, click the Submit \
button.
\
\
Credits
\
\
We would like to thank all of the labs that have contributed to this resource:\
\
map 1 color 0,150,0,\
group map\
longLabel Clones Placed on Cytogenetic Map Using FISH\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel FISH Clones\
track fishClones\
type bed 5 +\
visibility hide\
fosEndPairs Fosmid End Pairs bed 6 + Fosmid End Pairs 0 100 0 0 0 90 90 90 0 0 0
Description
\
A valid pair of fosmid end sequences must be\
at least 30 kb but no more than 50 kb away from each other. \
The orientation of the first fosmid end sequence must be "+" and\
the orientation of the second fosmid end sequence must be "-".
\
\
Note: For hg19 and hg18 assemblies, the Fosmid \
End Pairs track is a main track under the "Mapping and \
Sequencing" track category.
\
\
On the hg38 assembly, the FOSMID End Pairs track is a subtrack \
within the Clone Ends track under the "Mapping and \
Sequencing" track category. Under the list of subtracks on the \
Clone Ends Track Settings page, the FOSMID End Pairs track is now named \
"WIBR-2 Fosmid library." With the \
WIBR-2 Fosmid library track\
setting on full, individual clone end mapping items are\
listed in the browser; click into any item to see details from NCBI. \
\
Methods
End sequences were trimmed at the NCBI using\
ssahaCLIP written by Jim Mullikin. Trimmed fosmid end sequences were\
placed on the assembled sequence using Jim Kent's \
blat\
program.
\
\
Credits
\
Sequencing of the fosmid ends was done at the \
Eli & Edythe L. Broad\
Institute of MIT and Harvard University. Clones are available through the\
BACPAC Resources\
Center at Children's Hospital Oakland Research Institute (CHORI).\
\
map 1 altColor 90,90,90\
color 0,0,0\
exonArrows off\
group map\
longLabel Fosmid End Pairs\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel Fosmid End Pairs\
track fosEndPairs\
type bed 6 +\
visibility hide\
wgEncodeFsuRepliChip FSU Repli-chip bigWig Replication Timing by Repli-chip from ENCODE/FSU 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays replication timing and was produced as part \
of the ENCODE Project. Replication timing refers to the order in\
which DNA is duplicated during the synthesis phase of the cell\
cycle and is correlated with the expression of genes and the structure\
of chromosomes. This track shows genome-wide assessment of DNA replication\
timing in cell lines using NimbleGen tiling CGH microarrays. Each experiment\
represents the relative enrichment of early versus late S-phase nascent strands\
in a given cell line, with data represented as a loess-smoothed function\
of individual timing values at probes spaced at even intervals across \
the genome. Regions with high values indicate domains of early replication where\
initiation occurs earlier in S-phase. \
\
\
Display Conventions and Configuration
\
\
The graph displays a wavelet-smoothed signal of mean early/late S-phase ratios.\
Metadata for a particular subtrack can be found by clicking the down arrow\
in the list of subtracks.
\
\
\
Methods
\
\
Experimental Procedures
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Methods for replication timing profile creation and analysis are described in detail in \
Hiratani et al. (2008) and Ryba et al. (June 2011).\
Methods for individual stages of extraction, hybridization, scanning and\
processing are summarized below.
\
\
\
For the extraction protocol, replication timing data were obtained by hybridizing\
early and late replication intermediates to NimbleGen oligonucleotide arrays. \
Replication intermediates were prepared from cells that were first pulse-labeled\
with 5'-bromo-2'-deoxyuridine (BrdU) and then sorted into early and late stages\
of S-phase by flow cytometry, followed by anti-BrdU immunoprecipitation of the \
BrdU-substituted (nascent) replication intermediates newly synthesized either \
early or late during S-phase. Samples were labeled after unbiased amplification\
of recovered DNA by whole-genome amplification (WGA; Sigma, GenomePlex). \
\
\
\
The hybridization set used the \
\
NimbleGen standard hybridization protocol. Cy3- and Cy5-labeled DNA samples (6 µg each)\
were co-hybridized to Nimblegen CGH arrays containing evenly-spaced oligonucleotide\
probes across the human genome, with a median probe spacing of 1.1-5.8 kb. \
No differences in smoothed data have been detected with probe densities from 100 bp to 5.8 kb. The NimbleGen MS 200 2 µm resolution scanner and GenePix software\
were used per \
NimbleGen's standard scanning protocol.\
\
\
Data Processing
\
\
NimbleScan software was used to obtain .pair raw data per\
manufacturer's instructions. Raw early/late data (i.e. from .pair files) from \
two independent biological replicates, in which early- and late-replicating DNA\
were labeled reciprocally, were loess-normalized to remove signal intensity-dependent bias.\
The data were then scaled to a reference data set to have the same median absolute deviation\
and then averaged (limma package, R/Bioconductor). The mean early/late ratios were\
used to generate a final smoothed profile (i.e. processed data) using local polynomial\
smoothing (loess, 300 kb span) for each chromosome using basic functions in\
the statistical language R. \
\
\
\
Verification
\
\
\
Technical data quality was assessed by verifying high autocorrelation between neighboring timing values. \
Biological identity was confirmed by verifying consistent early or late replication by PCR at individual loci, as well as uniformity in replication profiles between replicate experiments.\
\
\
Release Notes
\
\
This is Release 2 (July 2012) of this track. It adds 6 more data sets including additional replicates for\
H1-hESC and H7-hESC and all new data for the iPS skin fibroblast bio samples.\
\
\
Credits
\
\
These data were generated by the Florida State University ENCODE group.
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
The Genetic Association Database (GAD) is intended for use primarily by \
medical scientists and other professionals concerned with genetic disorders, \
by genetics researchers, and by advanced students in science \
and medicine. While the GAD database is open to the public, \
users seeking information about a personal medical or \
genetic condition are urged to consult with a qualified \
physician for diagnosis and for answers to personal questions.\
These data are provided by the GAD\
and do not represent any additional curation by UCSC.
\
\
Description
\
\
After serving the scientific community for more than 10 years, \
the Genetic Association Database (GAD) has been retired and all data is "frozen" as of 09/01/2014.\
\
\
The \
Genetic Association Database is an archive of human genetic \
association studies of complex diseases and disorders. The goal \
of the database is to allow the user to rapidly identify medically \
relevant polymorphism from the large volume of polymorphism and \
mutational data, in the context of standardized nomenclature.\
\
If the track is displayed in "pack" or "full" mode, \
mousing over an entry of this track will show a pop-up message listing all \
associated diseases. \
In "full" mode, each feature is labeled with the associated disease \
class code (as defined below). \
\
\
Disease Class
Disease Class Code
\
AGING
AGE
\
CANCER
CAN
\
CARDIOVASCULAR
CARD
\
CHEMICAL DEPENDENCY
CHEM
\
DEVELOPMENTAL
DEV
\
HEMATOLOGICAL
HEM
\
IMMUNE
IMM
\
INFECTION
INF
\
METABOLIC
MET
\
MITOCHONDRIAL
MITO
\
NEUROLOGICAL
NEUR
\
NORMAL VARIATION
NV
\
OTHER
OTH
\
PHARMACOGENOMICS
PHARM
\
PSYCHIATRIC
PSY
\
RENAL
REN
\
REPRODUCTION
REP
\
UNKNOWN
UNK
\
VISION
VIS
\
\
\
\
Methods
\
\
Study data are recorded in the context of official human gene \
nomenclature with additional molecular reference numbers and links. The data\
are gene-centered; that is, each record is based on a gene or marker. \
For example, if a study investigated six genes for a particular disorder, \
there will be six records. Gene information is standardized and annotated with \
molecular information, enabling integration with other molecular and genomic \
data resources.\
\
\
Data
\
\
Data are added to GAD on a periodic\
basis by the curator or investigators. A majority of the records in GAD\
are extracted from the online \
HuGE Navigator \
database, which is sponsored by the Centers for Disease Control and \
Prevention. HuGE Navigator\
provides access to a continuously updated, curated knowledge base of\
gene-disease associations, meta-analyses, and related information on genes\
and diseases extracted from NCBI PubMed. A gene-centered view is available via\
Genopedia.\
\
\ \
Contacts
\
\
For more information on this dataset, contact \
Kevin G. Becker, PhD,\
\
Yongqing Zhang, PhD, and John Garner, MS, \
from the DNA Array Unit, NIA, NIH.\
\
phenDis 1 color 200,0,0\
group phenDis\
longLabel Genetic Association Studies of Complex Diseases and Disorders\
shortLabel GAD View\
track gad\
type bed 4\
url http://geneticassociationdb.nih.gov/cgi-bin/tableview.cgi?table=allview&cond=gene=\
visibility hide\
gap Gap bed 3 + Gap Locations 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track depicts gaps in the assembly. These gaps — with the\
exception of intractable heterochromatic gaps — will be closed during the\
finishing process.
\
\
Gaps are represented as black boxes in this track.\
If the relative order and orientation of the contigs on either side\
of the gap is known, it is a bridged gap and a white line is drawn \
through the black box representing the gap.
\
\
This assembly contains the following principal types of gaps:\
\
Clone — gaps between clones in the same map contig. These\
may be bridged or not.\
Contig — non-bridged gaps between map contigs.\
Centromere — non-bridged gaps from centromeres.\
Telomere — non-bridged gaps from telomeres.\
Heterochromatin — non-bridged gaps from large blocks of heterochromatin.\
Short Arm — non-bridged long gaps on the short arm of the chromosome.\
\
map 1 group map\
longLabel Gap Locations\
shortLabel Gap\
track gap\
type bed 3 +\
visibility hide\
gc5Base GC Percent wig 0 100 GC Percent in 5-Base Windows 0 100 0 0 0 128 128 128 0 0 0
Description
\
\
The GC percent track shows the percentage of G (guanine) and C (cytosine) bases\
in 5-base windows. High GC content is typically associated with\
gene-rich areas.\
\
\
This track may be configured in a variety of ways to highlight different\
apsects of the displayed information. Click the\
"Graph configuration help"\
link for an explanation of the configuration options.\
\
Credits
\
The data and presentation of this graph were prepared by\
Hiram Clawson.\
\
This track shows annotations from The Gene Curation Coalition (GenCC).\
The GenCC provides information pertaining to the validity of gene-disease relationships, \
with a current focus on Mendelian diseases. Curated gene-disease relationships are submitted \
by GenCC member organizations that currently provide online resources (e.g. ClinGen, DECIPHER, \
Orphanet, etc.), as well as diagnostic laboratories that have committed to sharing their internal \
curated gene-level knowledge (e.g. Ambry Genetics, Illumina, Invitae, etc.).
\
\
The GenCC aims to clarify overlap between gene curation efforts and develop\
consistent terminology for validity, allelic requirement and mechanism\
of disease. Each item on this track corresponds with a gene, and contains\
a large number of information such as associated disease, evidence classification,\
specific submission notes and identifiers from different databases. In cases where\
multiple annotations exist for the same gene, multiple items are displayed.
\
\
Display Conventions and Configuration
\
\
Each item displayed represents a submission to the GenCC database. The displayed \
name is a combination of the gene symbol and the disease's original submission ID. \
This submission ID is either the OMIM#, MONDO# or Orphanet#. Clicking\
on any item will display the complete meta data for that item, including\
linkouts to the GenCC, NCBI, Ensembl, HGNC, GeneCards, Pombase (MONDO),\
and Human Phenotype Ontology (HPO). Mousing over any item will display the\
associated disease title, the classification title, and the mode of inheritance\
title.
\
\
\
Items are colored based on the GenCC classification, or validation, of the\
evidence in the color scheme seen in the table below. \
For more information on this process, see the GenCC\
validity terms FAQ. A filter for the track is also available\
to display a subset of the items based on their classification.
\
\
\
\
\
Color
\
Evidence classification
\
\
Definitive
\
Strong
\
Moderate
\
Supportive
\
Limited
\
Disputed Evidence
\
Refuted Evidence
\
No Known Disease Relationship
\
\
\
\
\
Limitations: Most entries include both NM_ accessions as well as ENST and ENSG identifiers.\
From the original file, which contains no coordinates, two genes were not mapped\
to the hg38 genome, SLCO1B7 and ATXN8. This means that the hg38 track has 2 fewer items\
than what can be found in the GenCC download file. For hg19, one additional\
gene was not mapped, KCNJ18. In addition to this, the GenCC data in the Genome\
Browser does not include OMIM data due to licensing restrictions. For more\
information, see the Methods section below.
\
The GenCC data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigBed\
files that can be downloaded from\
our download server.\
The data may also be explored interactively using our\
REST API.
\
\
\
The file for this track may also be locally explored using our tools bigBedToBed \
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
The data were downloaded from the GenCC downloads page in tsv format. Manual\
curation was performed on the file to remove newline characters and tab characters present in \
the submission notes, in total fewer than 20 manual edits were made.
\
\
The track was first built on hg38 by associating the gene symbols with the NCBI MANE 1.0 \
release transcripts. These coordinates were added to the items as well as the NM_ accession,\
ENST ID and ENSG ID. For items where there was no gene symbol match in MANE (~130), the gene\
symbols were queried against GENCODEv40 comprehensive set release. In places where multiple\
transcript matches were found, the earliest transcription start and latest end site was used\
from among the transcripts to encompass the entire gene coordinates. Two genes were not able\
to be mapped for hg38, SLCO1B7 and ATXN8, resulting in two missing submissions in the Genome\
Browser when compared to the raw file. Lastly, the items were colored according to their\
evidence classification as seen on the GenCC database.
\
\
For hg19, the hg38 NM_ accessions were used to convert the item coordinates according to the\
latest hg19 refseq release. For items that failed to convert, the gene symbols were queried\
using the GENCODEv40 hg19 lift comprehensive set. One additional gene symbol failed to map in\
hg19, KCNJ18, leading to 3 fewer items on this track when compared to the raw file.
\
\
For both assemblies, GenCC OMIM data is excluded do to data restrictions.\
For complete documentation of the processing of these tracks, read the\
\
GenCC MakeDoc.
\
\
Credits
\
\
Thanks to the entire GenCC\
committee for creating these annotations and making them available.
\
phenDis 1 bigDataUrl /gbdb/hg19/bbi/genCC.bb\
filterLabel.classification_title evidence classification\
filterValues.classification_title Supportive,Strong,Definitive,Limited,Moderate,No Known Disease Relationship,Disputed Evidence,Refuted Evidence\
group phenDis\
itemRgb on\
longLabel GenCC: The Gene Curation Coalition Annotations\
mouseOver $disease_title - $classification_title - $moi_title\
shortLabel GenCC\
track genCC\
type bigBed 9 + 33\
url https://search.thegencc.org/genes/$\
urlLabel Link to GenCC Gene page\
urls ensTranscript="https://useast.ensembl.org/Multi/Search/Results?q=$$;site=ensembl_all" ensGene="https://useast.ensembl.org/Multi/Search/Results?q=$$;site=ensembl_all" refSeqAccession="https://www.ncbi.nlm.nih.gov/clinvar/?term=$$" uuid="https://search.thegencc.org/submissions/$$" gene_curie="https://www.genenames.org/data/gene-symbol-report/#!/hgnc_id/$$" gene_symbol="https://www.genecards.org/cgi-bin/carddisp.pl?gene=$$" disease_curie="https://www.pombase.org/term/$$" moi_curie="https://hpo.jax.org/app/browse/term/$$"\
wgEncodeGencodeSuper GENCODE Versions Container of all new and previous GENCODE releases 0 100 0 0 0 127 127 127 0 0 0 \
Description
\
\
The aim of the GENCODE \
Genes project (Harrow et al., 2006) is to produce a set of \
highly accurate annotations of evidence-based gene features on the human reference genome.\
This includes the identification of all protein-coding loci with associated\
alternative splice variants, non-coding with transcript evidence in the public \
databases (NCBI/EMBL/DDBJ) and pseudogenes. A high quality set of gene\
structures is necessary for many research studies such as comparative or \
evolutionary analyses, or for experimental design and interpretation of the \
results.
\
\
The GENCODE Genes tracks display the high-quality manual annotations merged \
with evidence-based automated annotations across the entire\
human genome. The GENCODE gene set presents a full merge\
between HAVANA manual annotation and Ensembl automatic annotation.\
Priority is given to the manually curated HAVANA annotation using predicted\
Ensembl annotations when there are no corresponding manual annotations. With \
each release, there is an increase in the number of annotations that have undergone\
manual curation. \
This annotation was carried out on the GRCh37 (hg19) genome assembly.\
\
Experimental verification details are given in each descriptions for each\
track. Transcript Support Levels were determined for version 10 onwards based \
on evidence provided by GenBank mRNA and EST sequences. Versions 7 and 10 are\
being used in data analysis by the ENCODE consortium.
\
\
NOTE: Due to the UCSC Genome Browser using the NC_001807 mitochondrial \
genome sequence\
(chrM) and GENCODE annotating the NC_012920 mitochondrial sequence, the\
GENCODE mitochondrial sequences are not available in the UCSC Genome Browser.\
These annotations are available for download in the \
GENCODE GTF files.\
\
\
\
For more information on the different gene tracks, see our Genes FAQ.
\
\
Display Conventions
\
\
These are multi-view composite tracks that contain differing data sets\
(views). Instructions for configuring multi-view tracks are\
here.\
Only some subtracks are shown by default. The user can select which subtracks\
are displayed via the display controls on the track details pages.\
Further details on display conventions and data interpretation are available in the track descriptions.
\
\
Data access
\
\
GENCODE Genes and its associated tables can be explored interactively using the\
REST API, the\
Table Browser or the\
Data Integrator.\
The GENCODE data files for hg19 are available in our\
\
downloads directory as wgEncodeGencode* in genePred format.\
All the tables can also be queried directly from our public MySQL\
servers, with instructions on this method available on our\
MySQL help page and on\
our blog.
\
\
Release Notes
\
\
GENCODE version 46lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 112.\
\
\
GENCODE version 45lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 111.\
\
\
GENCODE version 43lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 109.\
\
\
GENCODE version 42lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 108.\
\
\
GENCODE version 41lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 107.\
\
\
GENCODE version 40lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 106.\
\
\
GENCODE version 39lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 105.\
\
\
GENCODE version 38lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 104.\
\
\
GENCODE version 37lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 103.\
\
\
GENCODE version 36lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 102.\
\
\
GENCODE version 35lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 101.\
\
\
GENCODE version 34lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 100.\
\
\
GENCODE version 33lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 99.\
\
\
GENCODE version 30lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 96.\
\
\
GENCODE version 29lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 94.\
\
\
GENCODE version 28lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 92.\
\
\
GENCODE version 27lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 90.\
\
\
GENCODE version 24lift37 (mapped from GRCh38 to GRCh37)\
corresponds to Ensembl 83.\
\
GENCODE version 19 corresponds to Ensembl 74 and Vega 54.\
\
GENCODE version 17\
corresponds to Ensembl 72 and Vega 52.\
\
GENCODE version 14\
corresponds to Ensembl 69 and Vega 49\
\
GENCODE version 7\
corresponds to Ensembl 62 and Vega 42 \
and is used in ENCODE analysis.\
\
The GENCODE project is an international collaboration funded by NIH/NHGRI\
grant U41HG007234. More information is available\
at www.gencodegenes.org,\
Participating GENCODE institutions and personnel can be found\
\
here.\
\
\
References
\
\
Frankish A, Diekhans M, Jungreis I, Lagarde J, Loveland JE, Mudge JM, Sisu C, Wright JC, Armstrong\
J, Barnes I et al.\
\
GENCODE 2021.\
Nucleic Acids Res. 2021 Jan 8;49(D1):D916-D923.\
PMID: 33270111;\
PMC: PMC7778937;\
DOI: 10.1093/nar/gkaa1087\
GENCODE data are available for use without restrictions.
\
\
genes 0 group genes\
longLabel Container of all new and previous GENCODE releases\
pennantIcon New red ../goldenPath/newsarch.html#060724 "June 7, 2024"\
shortLabel GENCODE Versions\
superTrack on\
track wgEncodeGencodeSuper\
interactions Gene Interactions bigBed 9 Protein Interactions from Curated Databases and Text-Mining 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The Pathways and Gene Interactions track shows a summary of gene interaction and pathway data\
collected from two sources: curated pathway/protein-interaction databases and interactions found\
through text mining of PubMed abstracts.
\
\
Display Conventions and Configuration
\
Track Display
\
\
The track features a single item for each gene loci in the genome. On the item itself, the gene\
symbol for the loci is displayed followed by the top gene interactions noted by their gene symbol.\
Clicking an item will take you a\
gene interaction graph\
that includes detailed information on the support for the various interactions.
\
\
\
Items are colored based on the number of documents supporting the interactions of a\
particular gene. Genes with >100 supporting documents are colored\
black, genes with >10 but <100\
supporting documents are colored dark blue, and\
those with >10 supporting documents are colored\
light blue.
\
\
Pathway and Gene Interaction Display
\
\
See the\
help documentation\
accompanying this gene interaction graph for more information on its configuration.
\
\
Methods
\
\
The pathways and gene interactions were imported from a number of databases and mined from\
millions of PubMed abstracts. More information can be found in the\
"Data Sources\
and Methods"\
section of the help page for the gene interaction graph.
\
\
Data Access
\
\
The underlying data for this track can be accessed interactively through the\
Table Browser or\
Data Integrator. \
The data for this track is spread across a number of relational tables. The best way to \
export or analyze the data is using our public MySQL server.\
The list of tables and how they are linked together are described in the \
documentation \
linked at the bottom of the gene interaction viewer.\
\
\
\
The genome annotation is just a summary of the actual interactions database and therefore often not \
of interest to most users. It is stored in a bigBed file that can be obtained\
from the\
download server.\
\
The data underlying the\
graphical display is in bigBed\
formatted file named interactions.bb. Individual regions or the whole genome annotation\
can be obtained using our tool bigBedToBed. Instructions\
for downloading source code and precompiled binaries can be found\
here. The tool can also\
be used to obtain only features within a given range, for example:\
\
The text-mined data for the gene interactions and pathways were generated by Chris Quirk and\
Hoifung Poon as part of\
Microsoft Research, Project\
Hanover.
\
\
\
Pathway data was provided by the databases listed under\
"Data Sources\
and Methods"\
section of the help page for the gene interaction graph.\
In particular, thank you to Ian Donaldson from IRef for his\
unique collection of interaction databases.
\
\
\
The short gene descriptions are a merge of the HPRD\
and PantherDB gene/molecule classifications. Thanks to Arun Patil from\
HPRD for making them available as a download.
\
\
\
The track display and gene interaction graph\
were developed at the UCSC Genome Browser by Max Haeussler.
\
phenDis 1 bigDataUrl /gbdb/hg19/bbi/interactions.bb\
directUrl hgGeneGraph?db=hg19&gene=%s\
exonNumbers off\
group phenDis\
hgsid on\
itemRgb on\
labelOnFeature on\
linkIdInName on\
longLabel Protein Interactions from Curated Databases and Text-Mining\
noScoreFilter on\
shortLabel Gene Interactions\
track interactions\
type bigBed 9\
visibility hide\
ghGeneTss Gene TSS bigBed 9 GeneHancer Regulatory Elements and Gene Interactions 3 100 0 0 0 127 127 127 0 0 0 http://www.genecards.org/cgi-bin/carddisp.pl?gene=$$ regulation 1 itemRgb on\
longLabel GeneHancer Regulatory Elements and Gene Interactions\
parent geneHancer\
searchIndex name\
shortLabel Gene TSS\
track ghGeneTss\
type bigBed 9\
url http://www.genecards.org/cgi-bin/carddisp.pl?gene=$$\
urlLabel In GeneCards:\
view b_TSS\
visibility pack\
geneHancer GeneHancer bed 3 GeneHancer Regulatory Elements and Gene Interactions 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
GeneHancer is a database of human regulatory elements (enhancers and promoters) \
and their inferred target genes, which is embedded \
in GeneCards, a human gene \
compendium.\
The GeneHancer database was created by integrating >1 million regulatory elements \
from multiple genome-wide databases. \
Associations between the regulatory elements and target genes\
were based on multiple sources of linking molecular data, along with distance,\
as described in Methods below.\
\
\
The GeneHancer track set contains tracks representing:\
\
Regulatory elements (GeneHancers)
\
Gene transcription start sites
\
Interactions (associations) between regulatory elements and genes
\
Clustered interactions, by gene target or GeneHancer
\
\
The full set of elements and interactions is included, along with a highly filtered \
"double elite" subset.\
\
Display Conventions
\
\
Each GeneHancer regulatory element is identified by a GeneHancer id. \
For example: GH0XJ101383 is located on chromosome X, with starting position of 101,383 kb\
(GRCh38/hg38 reference).\
Based on the id, one can obtain full GeneHancer information, as displayed in the Genomics \
section within the gene-centric web pages of GeneCards. Links to the GeneCards information pages\
are provided on the track details pages.
\
\
\
For the interaction tracks (Clusters and Interactions) a slight offset can be noticed between \
the line endpoints. This helps to identify the start and end of the feature. In this case,\
the higher point is the source (enhancers) and the lower point is the target.
\
\
Regulatory elements
\
\
Colors are used to distinguish promoters and enhancers and to indicate the GeneHancer element confidence score:
\
\
Promoters: \
High\
Medium\
Low\
\
\
Enhancers: \
High\
Medium\
Low\
\
\
Gene TSS
\
\
Colors are used to improve gene and interactions visibility. \
Successive genes are colored in different colors, and interactions of a gene have the same color.
\
\
Interactions
\
\
The Interactions view in Full mode shows GeneHancers and target genes connected by curves or \
half-rectangles (when one of the connected regions is off-screen). \
Configuration options are available to change the drawing style, and to limit the view to\
interactions with one or both connected items in the region.\
Interactions are identified on mouseover or clicked on for details at the end regions, or at \
the curve peak, which is marked with a gray ring shape. Interactions in the reverse direction\
(Gene TSS precedes GeneHancer on the genome) are drawn with a dashed line.\
\
Clusters
\
\
The Clusters view groups interactions by target gene; the target gene and all GeneHancers \
associated with it are displayed in a single browser item. The gene TSS and associated GeneHancers \
are shown as blocks linked together, with the TSS drawn as a "tall" item, and the \
GeneHancers drawn "short". \
A user configuration option is provided to change the view to group by GeneHancer \
(with tall GeneHancer and short TSS's). \
Clusters composed of interactions with a single gene are colored to correspond to the gene, \
and those composed of interactions with multiple genes are colored dark gray.
\
\
Methods
\
\
GeneHancer identifications were created from >1 million regulatory elements \
obtained from seven genome-wide databases:\
\
Employing an integration algorithm that removes redundancy, the GeneHancer pipeline\
identified ˜250k integrated candidate regulatory elements (GeneHancers).\
Each GeneHancer is assigned an annotation-derived confidence score. \
The GeneHancers that are derived from more than one information source are defined \
as "elite" GeneHancers.
\
\
Gene-GeneHancer associations, and their likelihood-based scores, were generated \
using information that helps link regulatory elements to genes:\
\
eQTLs (expression quantitative trait loci) from GTEx (version v6p)
\
Capture Hi-C promoter-enhancer long range interactions
\
FANTOM5 eRNA-gene expression correlations
\
Cross-tissue expression correlations between a transcription factor interacting \
with a GeneHancer and a candidate target gene
\
Distance-based associations, including several approaches: \
\
Nearest neighbors, where each GeneHancer is associated with its two proximal genes
\
Overlaps with the gene territory (intragenic)
\
Proximity to the gene TSS (<2kb)
\
\
\
\
Associations that are derived from more than one information source are defined \
as "elite" associations, which leads to the definition of the "double elite"\
dataset - elite gene associations of elite GeneHancers.
\
\
More details are provided at the GeneCards\
\
information page.\
For a full description of the methods used, refer to the GeneHancer manuscript1.
\
\
Source data for the GeneHancer version 4.8 was downloaded during May 2018.
\
\
Data Access
\
\
Due to our agreement with the Weizmann Institute, we cannot allow full genome \
queries from the Table Browser or share download files. You can still access \
data for individual chromosomes or positional data from the \
Table Browser.
\
\
\
GeneHancer is the property of the Weizmann Institute of Science and \
is not available for download or mirroring by any third party \
without permission. Please contact the Weizmann Institute directly for \
data inquiries.
\
\
Credits
\
\
Thanks to Simon Fishilevich, Marilyn Safran, Naomi Rosen, and Tsippi Iny Stein of the GeneCards \
group and Shifra Ben-Dor of the Bioinformatics Core group at the Weizmann Institute, \
for providing this data and documentation, creating track hub versions of these tracks \
as prototypes, and overall responsiveness during development of these tracks.
\
Supported in part by a grant from LifeMap Sciences Inc.
\
\
References
\
\
Fishilevich S., Nudel R., Rappaport N., Hadar R., Plaschkes I., Iny Stein T., Rosen N., Kohn A., Twik M., Safran M., Lancet D. and Cohen D. GeneHancer: genome-wide integration of enhancers and target genes in GeneCards, Database (Oxford) (2017), doi:10.1093/database/bax028. [PDF] PMID 28605766
\
\
Stelzer G, Rosen R, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Iny Stein T, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary, D, Warshawsky D, Guan- Golan Y, Kohn A, Rappaport N, Safran M, and Lancet D. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analysis, Current Protocols in Bioinformatics (2016), 54:1.30.1-1.30.33. doi: 10.1002/cpbi.5. PMID 27322403
\
regulation 1 compositeTrack on\
dataVersion January 2019 (V2: Corrections to Experiment field)\
dimensions dimX=set dimY=view\
group regulation\
longLabel GeneHancer Regulatory Elements and Gene Interactions\
shortLabel GeneHancer\
sortOrder set=+ view=+\
subGroup1 view View a_GH=Regulatory_Elements b_TSS=Gene_TSS c_I=Interactions d_I=Clusters\
subGroup2 set Set a_ELITE=Double_Elite b_ALL=All\
tableBrowser noGenome\
track geneHancer\
type bed 3\
visibility hide\
geneid Geneid Genes genePred geneidPep Geneid Gene Predictions 0 100 0 90 100 127 172 177 0 0 0
\
Geneid is a program to predict genes in anonymous genomic sequences designed\
with a hierarchical structure. In the first step, splice sites, start and stop\
codons are predicted and scored along the sequence using Position Weight Arrays\
(PWAs). Next, exons are built from the sites. Exons are scored as the sum of the\
scores of the defining sites, plus the the log-likelihood ratio of a\
Markov Model for coding DNA. Finally, from the set of predicted exons, the gene\
structure is assembled, maximizing the sum of the scores of the assembled exons.\
\
GeneReviews is an online collection of expert-authored, peer-reviewed\
articles that describe specific gene-related diseases. GeneReviews articles are\
searchable by disease name, gene symbol, protein name, author, or title. GeneReviews\
is supported by the National Institutes of Health, hosted at NCBI as part of the\
\
Genetic Testing Registry (GTR). The GeneReviews data underlying this track will be updated frequently. \
\
\
The GeneReviews track allows the user to locate the NCBI GeneReviews resource\
quickly from the Genome Browser. Hovering the mouse on track items shows the gene symbol and \
associated diseases. A condensed version of the GeneReviews article\
name and its related diseases are displayed on the item details page as links. Similar\
information, when available, is provided in the details page of items from the UCSC Genes,\
RefSeq Genes, and OMIM Genes tracks.\
\
\
Data Access
\
\
The raw data for the GeneReviews track can be explored interactively with the\
Table Browser. Cross-referencing can be done with\
Data Integrator. The complete source file,\
in bigBed format, \
can be downloaded from our\
downloads directory.\
For automated analysis,\
the data may be queried from our\
REST API.\
\
Pagon RA, Adam MP, Bird TD, et al., editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993-2014. Available from: \
\
https://www.ncbi.nlm.nih.gov/books/NBK1116.\
\
The tracks that are listed here contain data from unrelated individuals sequenced as part of\
various population-genetic and disease-specific studies collected by the Genome Aggregation Database (gnomAD).\
Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the\
studies. However, some individuals with severe disease may still have remained in the datasets,\
although probably at an equivalent or lower frequency than observed in the general population. Raw\
data from all studies have been reprocessed using a standardized pipeline and jointly variant-called\
process, which aims to increase consistency between projects. For more information on the processing\
pipeline and population annotations, see the following blog post gnomAD,\
gnomAD v2.1 \
and the 2.0.2 README.
\
\
\
The available data tracks are:\
\
Genome Variants \
(gnomAD Genomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 15,708 \
unrelated individuals' genome sequences from the v2.1.1 release.
\
Exome \
Variants (gnomAD Exomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 125,748 \
unrelated individuals' exome sequences from the v2.1.1 release.
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described here. Most gnomAD tracks contain\
multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some\
subracks will be displayed by default. The user can select which subtracks are displayed via the\
display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
The tracks that are listed here contain data from unrelated individuals sequenced as part of\
various population-genetic and disease-specific studies collected by the Genome Aggregation Database (gnomAD).\
Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the\
studies. However, some individuals with severe disease may still have remained in the datasets,\
although probably at an equivalent or lower frequency than observed in the general population. Raw\
data from all studies have been reprocessed using a standardized pipeline and jointly variant-called\
process, which aims to increase consistency between projects. For more information on the processing\
pipeline and population annotations, see the following blog post gnomAD,\
gnomAD v2.1 \
and the 2.0.2 README.
\
\
\
The available data tracks are:\
\
Genome Variants \
(gnomAD Genomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 15,708 \
unrelated individuals' genome sequences from the v2.1.1 release.
\
Exome \
Variants (gnomAD Exomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 125,748 \
unrelated individuals' exome sequences from the v2.1.1 release.
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described here. Most gnomAD tracks contain\
multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some\
subracks will be displayed by default. The user can select which subtracks are displayed via the\
display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
\
varRep 0 aggregate none\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX\
html gnomad\
longLabel Genome Aggregation Database (gnomAD) Percentage of Genome Samples with at least nX Coverage\
maxHeightPixels 100:16:8\
parent gnomadCoverage\
shortLabel Genome Coverage %\
showSubtrackColorOnUi on\
track gnomadGenomesReadDepthPct\
type bigWig 0 1\
view gRDepth\
viewLimits 0:1\
visibility hide\
giab Genome In a Bottle bed 3 Genome In a Bottle Structural Variants and Trios 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The tracks listed here contain data from\
The Genome in a\
Bottle Consortium (GIAB), an open, public consortium hosted by \
NIST. The priority of GIAB is to develop \
reference standards, reference methods, and reference data by authoritative characterization of \
human genomes for use in benchmarking, including analytical validation and technology \
development that will support translation of whole human genome sequencing to clinical practice. The\
sole purpose of this work is to provide validated variants and regions to enable technology and \
bioinformatics developers to benchmark and optimize their detection methods.\
\
\
The Ashkenazim and the Chinese Trio tracks show benchmark SNV calls from two \
son/father/mother trios of Ashkenazi Jewish and Han Chinese ancestry from the \
Personal Genome Project, \
consented for commercial redistribution.\
\
\
The Genome In a Bottle Structural Variants track shows benchmark SV calls (nssv) \
and variant regions (nsv) (5,262 insertions and 4,095 deletions, > 50 bp, in 2.51 Gb of \
the genome) from the son (HG002/NA24385) from the Ashkenazi Jewish trio.\
\
\
Samples are disseminated as National Institute of Standards and Technology (NIST)\
Reference Materials.\
\
Display Conventions and Configuration
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view \
within a track has separate display controls, as described \
here.\
\
\
Unlike a regular genome browser track, the Ashkenazim and the Chinese Trio tracks display \
the genome variants of each individual as two haplotypes; SNPs, small insertions and deletions\
are mapped to each haplotype based on the phasing information of the VCF file. The\
haplotype 1 and the haplotype 2 are displayed as two separate black lanes for the\
browser window region. Each variant is drawn as a vertical dash. Homozygous variants will\
show two identical dashes on both haplotype lanes. Phased heterozygous variants are placed on\
one of the haplotype lanes and unphased heterozygous variants are displayed in the area\
between the two haplotype lanes.\
\
\
Predicted de novo variants and variants that are inconsistent with phasing in the trio son can be \
colored in red using the track Configuration options.\
\
\
Data Access
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API.\
\
\
Benchmark VCF and BED files for small variants are available for GRCh37 and GRCh38 under each\
genome at NCBI FTP site. \
Structural variants are available for GRCh37 at dbVAR \
nst175.\
\
\
varRep 1 compositeTrack on\
group varRep\
html giab\
longLabel Genome In a Bottle Structural Variants and Trios\
shortLabel Genome In a Bottle\
subGroup1 view Views trios=Trios sv=Structural_Variants\
track giab\
type bed 3\
visibility hide\
triosView Genome In a Bottle Trios vcfPhasedTrio Genome in a Bottle Ashkenazim and Chinese Trios 0 100 0 0 0 127 127 127 0 0 0 varRep 0 longLabel Genome in a Bottle Ashkenazim and Chinese Trios\
parent giab\
shortLabel Genome In a Bottle Trios\
track triosView\
type vcfPhasedTrio\
view trios\
visibility hide\
wgEncodeAwgSegmentation Genome Segments bed 9 . Genome Segmentations from ENCODE 0 100 0 0 0 127 127 127 0 0 0
Overview
\
\
This set of tracks represents multivariate genome-segmentation results based on ENCODE data \
(ENCODE Project Consortium, 2012). \
Using two different unsupervised machine learning techniques (ChromHMM and Segway), the genome\
was automatically segmented into disjoint segments. \
Each segment belongs to one of a few specific genomic "states" which is assigned an intuitive label.\
Each genomic state represents a particular combination and distribution of different ENCODE\
functional data tracks such as histone modifications, open chromatin data and specific TF\
binding data. \
A consensus unified segmentation was also generated by reconciling results from the \
individual segmentations. \
The specific descriptions for each segmentation are listed below.
\
The number and type of Segmentation states from the individual segmentations differ, \
but are unified via grouping by color (10 groups for ChromHMM and Segway, 7 for the Combined).\
The display can be filtered to selected groups using the 'Filter by Segment Type' control on the\
track configuration page. Groupings that are not represented in the Combined tracks are marked\
in the menu with an asterisk.
\
\
\
Combined Segmentations
\
\
Description
\
\
These tracks display chromatin state segmentations from 6 cell lines, using a consensus \
merge of the segmentations produced by the ChromHMM and Segway software. \
In both segmentations, twenty-five states were used to segment the genome, however\
for ease of comprehension and display, the merged segmentation uses only seven states.>\
\
Display Conventions and Configuration
\
\
The seven states of the combined segmentation, the candidate annotations and associated segment colors are as follows:
\
\
\
TSS
Bright Red
Predicted promoter region including TSS
\
\
\
PF
Light Red
Predicted promoter flanking region
\
\
\
E
Orange
Predicted enhancer
\
\
\
WE
Yellow
Predicted weak enhancer or open chromatin cis regulatory element
\
\
\
CTCF
Blue
CTCF enriched element
\
\
\
T
Dark Green
Predicted transcribed region
\
\
\
R
Gray
Predicted Repressed or Low Activity region
\
\
\
Methods
\
ChIP-seq data from the ENCODE Consortium was used to generate this track, and the ChromHMM \
and Segway programs were used to perform the segmentation. \
Methods for the ChromHMM and Segway segmentations are described below.
\
\
To form the combined segmentation, for each original segmentation, states that could be grouped\
together based on similar signal patterns were identified.\
For the ChromHMM segmentation, the states were grouped manually based on the mean signal values \
across multiple cell lines. \
For the Segway segmentations run independently over multiple cell lines, multiple hierarchical \
clustering techniques were applied across all states in the segmentations to identify the most \
consistent clustering of states, both across cell lines and with respect to existing \
biological knowledge. \
Using these criteria, the Ward clustering on euclidean distances between mean signal scores \
transformed to the unit interval was chosen to cluster the Segway state labels. \
Subsequently, pairwise relationships between the ChromHMM and Segway merged states were \
identified using both overlap calculations and manual annotation (Hoffman, Ernst et al. 2013). \
Pairs of states that were viewed as concordant were assigned to one of the seven state classes. \
Regions of the genome occupied by concordant states between the two initial segmentations were \
reassigned to the new summary labels. \
In some cases there were combinations of states between the two segmentations that could not \
be reconciled and these combinations were viewed as discordant. \
Regions with discordant states were not assigned a state label, and were dropped from\
the summary combined segmentation.
\
\
\
ChromHMM Segmentations
\
\
Description
\
\
A common set of states across 6 human cell types were learned by computationally integrating ENCODE\
ChIP-seq, DNase-seq, and FAIRE-seq data using a Hidden Markov Model (HMM).\
Twenty-five states were used to segment the genome, and these states were then \
grouped and colored to highlight predicted functional elements.\
There are 6 ChromHMM tracks. Each track represents the segmentation results for each of the \
six cell lines.
\
The candidate annotations and associated segment colors are as follows:
\
\
Tss, TssF
Bright Red
Active Promoter
\
PromF
Light Red
Promoter Flanking
\
PromP
Purple
Inactive Promoter
\
Enh, EnhF
Orange
Candidate Strong enhancer
\
EnhWF, EnhW, DNaseU, DNaseD, FaireW
Yellow
Candidate Weak enhancer/DNase
\
CtrcfO, Ctcf
Blue
Distal CTCF/Candidate Insulator
\
Gen5', Elon, ElonW, Gen3', Pol2, H4K20
Dark Green
Transcription associated
\
Low
Light Green
Low activity proximal to active states
\
ReprD, Repr, ReprW
Gray
Polycomb repressed
\
Quies, Art
Light Gray
Heterochromatin/Repetitive/Copy Number Variation
\
\
\
Methods
\
\
Data from the ENCODE Consortium was used to generate this track, and the ChromHMM \
program was used to perform the segmentation. \
Datasets for 10 factors plus input in 6 cell types were binarized separately at a 200 base pair \
resolution using a Poisson background model and fold enrichment cut-offs. \
The chromatin states were learned from this binarized data using a multivariate Hidden Markov \
Model (HMM) that explicitly models the combinatorial patterns of observed modifications \
(Ernst and Kellis, 2010).\
To learn a common set of states across the six cell types, first the genomes were concatenated\
across the cell types. For each of the six cell types, each 200 base pair interval was then \
assigned to its most likely state under the model.
\
\
\
Segway Segmentations
\
\
Description
\
\
Sets of states across 6 human cell types were learned by computationally integrating\
ENCODE ChIP-seq, DNAse-seq and FAIRE-seq data using a Dynamic Bayesian Network (DBN). \
Twenty-five states were used to segment the genome (listed below in the Display Conventions\
and Configuration section by their prefixes - such as PromP for PromP1, PromP2, etc.),\
and these states were then grouped and colored to highlight predicted functional elements\
(such as the color purple for an inactive promoter region). There are 6 Segway tracks, each\
representing the segmentation results for a separate cell line. Not every\
segmentation state is found in each cell line. If you have further questions about the\
tracks, please contact the authors listed under the Credits section. \
\
\
Display Conventions and Configuration
\
\
The segment state prefixes, associated colors, and candidate annotations are:
\
\
Tss, DnaseD
Bright Red
Active Promoter
\
TssF, PromF
Light Red
Promoter Flanking
\
PromP
Purple
Inactive Promoter
\
Enh, EnhF, EnhPr, EnhP
Orange
Candidate Strong enhancer
\
EnhW, EnhWf
Yellow
Candidate Weak enhancer
\
Ctcf, CtcfO
Blue
Distal CTCF/Candidate Insulator
\
Gen3', Gen5', Elon, ElonW
Dark Green
Transcription associated
\
Low
Light Green
Low activity proximal to active states
\
Repr
Gray
Polycomb repressed
\
Quiesc
Light Gray
Heterochromatin/Repetitive/Copy Number Variation
\
\
\
Methods
\
\
Data from the ENCODE Consortium was used to generate this track, and the Segway program \
was used to perform the segmentation. \
Data for 10 factors plus input in 6 cell types\
was converted to real valued signal data using the Wiggler program. \
Using the ENCODE regions (spanning 1% of the human genome) the chromatin states were \
learned from this data using a Dynamic Bayesian Network (DBN) (Hoffman, et al. 2012). \
Models were learned separately for each of the six cell types. For each cell type, \
the Viterbi algorithm was used to assign genomic regions to individual state labels at \
single base pair resolution over the entire genome.
\
The Combined segmentation was produced at the European Bioinformatics Institute (EMBL-EBI,\
Flicek team), by\
\
\
Steven Wilder and Ian Dunham,\
as part of the work of the ENCODE Data Analysis Center (Ewan Birney).
\
The data used to generate these segmentations are covered by the ENCODE data release policy\
here, and\
so were subject to some usage restrictions for a 9 month period.\
There are no restrictions on the use of the ENCODE segmentation data.\
Anonymous Han Chinese individual (YH, YanHuang Project)
\
Seong-Jim Kim (SJK)
\
Anonymous Korean individual (AK1)
\
Stephen Quake
\
Anonymous Irish male
\
Marjolein Kriek
\
Gregory Lucier
\
Extinct Palaeo-Eskimo Saqqaq individual
\
\
\
Note: The Khoisan languages are characterized by clicks, denoting\
additional consonants. The ! is a palatal click, / is a dental click,\
and # is an alveolar click (Le Roux and White, 2004).\
\
\
Display Conventions and Configuration
\
\
In the genome browser, when viewing the forward strand of the\
reference genome (the normal case), the displayed alleles are relative\
to the forward strand. When viewing the reverse strand of the\
reference genome ("reverse" button), the displayed alleles\
are reverse-complemented to match the reverse strand. \
When read frequency data are available, they are displayed in the mouseover \
text (e.g., "T:8 G:3" means that 8 reads contained a T and 3 reads contained \
a G at that base position) and box colors are used to show the proportion of \
alleles.
\
\
On the details page for each variant, the alleles are given for the\
forward strand of the reference genome. Frequency data are shown when\
available.\
\
\
Methods
\
\
Variants from Complete Genomics and Marjolein Kriek were mapped to the\
Feb. 2009 (GRCh37/hg19) human genome assembly, so they required no remapping.\
Variants for all other individuals were originally mapped to the Mar. 2006\
(NCBI36/hg18) human genome assembly. Their locations were translated into GRCh37/hg19\
coordinates using the liftOver program and the mapping file\
hg18ToHg19.over.chain.gz. Homozygous matches to the \
GRCh37/hg19 reference were removed.
\
\
Sources
\
\
KB1, NB1, MD8, TK1, ABTutu\
(Penn State)\
(Schuster et al.) \
SNPs are from the allSNPs.txt file which can be downloaded\
from Galaxy. The indels are also\
available for download from Galaxy.\
Complete Genomics 69 genomes\
(Complete Genomics, Nov 2011 release)\
(CG) \
There are four sets of data: a Yoruba trio; a Puerto Rican trio; a\
17-member, 3-generation pedigree; and a diversity panel representing ten\
different populations. The CEPH samples within the pedigree and\
diversity sets are from the NIGMS Repository and the remainder from\
the NHGRI Repository, both housed at the Coriell Institute for Medical\
Research. The downloaded dataset was generated by the Complete Genomics\
Analysis Pipeline version 2.0.0.\
Misha Angrist, Rosalynn Gill, Henry Louis Gates Sr., Henry Louis Gates Jr.\
(Personal Genome Project)\
(PGP) \
The variants were downloaded from a\
\
Trait-o-matic installation that may be out of order.\
The numbers for Angrist are read counts; the number supporting each allele\
was not given.\
The Personal Genome Project offers whole genome sequences for the original\
individuals and many more\
for download.\
\
\
\
Craig Venter (JCVI)\
(Levy et al.) \
An overview is given\
here.\
This subtrack contains Venter's single-base variants from the file\
HuRef.InternalHuRef-NCBI.gff,\
filtered to include only Method 1 variants (where each variant was\
kept in its original form and not post-processed), and to exclude any\
variants that had N as an allele.\
JCVI hosts a\
genome browser.\
\
SJK (GUMS/KOBIC)\
(Ahn et al.) \
Researchers at Gachon University of Medicine and Science (GUMS)\
and the Korean Bioinformation Center (KOBIC)\
released these single-base variants from the genome of Seong-Jin Kim.\
The data are available from\
KOBIC\
in the file\
KOREF-solexa-snp-X30_Q40d4D100.gff.\
Stephen Quake (Stanford)\
(Pushkarev et al.) \
The variants were downloaded from a\
\
Trait-o-matic installation that may be out of order.\
\
Anonymous Irish male\
(Tong et al.) \
The SNPs shown are from the Galaxy library,\
Irish whole genome.\
\
\
Marjolein Kriek\
(Leiden) \
The SNPs shown are called by Belinda Giardine from PSU, from the BAM file\
provided by\
Leiden University Medical Center. The reads were aligned to the\
GRCh37/hg19 build. SNP calls were made using samtools, with a minimum of 4 reads\
supporting the variant call and a maximum of 45. Those with a quality\
score of less than 30 were filtered out.\
\
Gregory Lucier\
(Life Technologies) \
The SNPs shown are from\
Nimbus Informatics.\
Sequencing was done using the Life Technologies SOLiD platform.\
\
Palaeo-Eskimo Saqqaq individual (Saqqaq Genome Project)\
(Rasmussen et al.) \
The variants shown are\
all non-reference SNPs found by the SNPest program, and in\
a second track the\
high confidence SNPs from the first set.\
The allele counts are not available for these tracks but read depth is\
available. The read depth was put in place of the allele counts to\
give a measure of the reliability of the call.\
\
\
Credits
\
\
Variants shown in this track were determined by the many individuals\
and institutions listed above.\
Thanks to Belinda Giardine at PSU for collecting the data and\
loading them into the UCSC database.\
\
\
References
\
\
\
Le Roux W, White A.\
The voices of the San living in Southern Africa today. Cape Town: Kwela Books; 2004.\
\
Misha Angrist, Rosalynn Gill, Henry Louis Gates Sr., Henry Louis Gates Jr. \
Church GM.\
\
The personal genome project.\
Mol Syst Biol. 2005;1:2005.0030.\
PMID: 16729065; PMC: PMC1681452\
\
This track shows predictions from the\
Genscan program\
written by Chris Burge.\
The predictions are based on transcriptional, translational and donor/acceptor\
splicing signals as well as the length and compositional distributions of exons,\
introns and intergenic regions.\
\
\
\
For more information on the different gene tracks, see our Genes FAQ.
\
The track description page offers the following filter and configuration\
options:\
\
Color track by codons: Select the genomic codons option\
to color and label each codon in a zoomed-in display to facilitate validation\
and comparison of gene predictions. Go to the\
\
Coloring Gene Predictions and Annotations by Codon page for more\
information about this feature.
\
\
\
\
Methods
\
\
\
For a description of the Genscan program and the model that underlies it,\
refer to Burge and Karlin (1997) in the References section below.\
The splice site models used are described in more detail in Burge (1998)\
below.\
\
\
Credits
\
\
Thanks to Chris Burge for providing the Genscan program.\
\
References
\
\
\
Burge C.\
Modeling Dependencies in Pre-mRNA Splicing Signals.\
In: Salzberg S, Searls D, Kasif S, editors.\
Computational Methods in Molecular Biology.\
Amsterdam: Elsevier Science; 1998. p. 127-163.\
\
genes 1 color 170,100,0\
group genes\
html ../../genscan\
longLabel Genscan Gene Predictions\
parent genePredArchive\
shortLabel Genscan Genes\
track genscan\
type genePred genscanPep\
visibility hide\
wgEncodeGisChiaPet GIS ChIA-PET bed 12 Chromatin Interaction Analysis Paired-End Tags (ChIA-PET) from ENCODE/GIS-Ruan 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track was produced as part of the ENCODE Project. \
It shows the locations of protein factor\
mediated chromatin interactions determined by \
Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) data\
(Fullwood et al., 2010)\
extracted from five different human cancer cell lines \
(K562 (chronic myeloid leukemia), HCT116 (colorectal cancer),\
HeLa-S3 (cervical cancer), MCF-7 (breast cancer), and NB4\
(promyelocytic)). A chromatin interaction is\
defined as the association of two regions of the genome that are \
far apart in terms of genomic distance, but are\
spatially proximate to each other in \
the 3-dimensional cellular nucleus.\
\
Additionally, ChIA-PET experiments generate \
transcription factor binding sites. A binding site\
is defined as a region of the genome \
that is highly enriched by specific Chromatin\
ImmunoPrecipitation (ChIP) against a transcription \
factor, which indicates that the transcription\
factor binds specifically to this region. \
The protein factors displayed in the track\
include estrogen receptor alpha (ERα), RNA polymerase II (RNAPII),\
and CCCTC binding factor (CTCF).\
\
Display Conventions and Configuration
\
\
\
In the graphical display, the PETs are \
represented by two blocks one for each end. \
These blocks are connected by a horizontal\
line if both ends are in the same chromosome. \
If the two ends are on different chromosomes, only\
one block will display.\
PET sequences that overlap at both ends form \
PET clusters. The number of PETs in a cluster reflects\
the strength of a chromatin interaction. \
Singleton PETs (PETs without a cluster) are\
potentially false positives, whereas PET clusters of \
more than 3 PETs could indicate genuine\
chromatin interactions. The density graph of the \
tags shows the ChIP enrichment at different points\
of genome, and high peaks indicate transcription\
factor binding sites.\
\
Instructions for configuring multi-view tracks are \
here.\
\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
\
\
Interactions\
ChIA-PET Chromatin Interaction PET clusters: \
Two different genomic regions in the chromatin are \
genomically far from each other or in different \
chromosomes, but are spatially close to each \
other in the nucleus and interact with each \
other for regulatory functions. \
BED12 format is used to represent the data. \
Signal\
Density graph (wiggle) of signal enrichment based on aligned read density.\
\
Metadata for a particular subtrack can be found \
by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Chromatin interaction analysis with paired-end tag \
sequencing (ChIA-PET) is a global de novo\
high-throughput method for characterizing the 3-dimensional\
structure of chromatin in the nucleus. In the \
ChIA-PET protocol, samples were cross-linked and\
fragmented, then subjected to chromatin immunoprecipitation. \
The DNA fragments that were brought together \
by the chromatin interactions were then \
proximity-ligated. During this proximity-ligation \
step, the half-linkers (created by the \
fragmentation) containing flanking \
MmeI sites (type IIS restriction enzymes) were\
first ligated to the DNA fragments and then\
ligated to each other to form full\
linkers. Full linkers bridge either two ends of a \
self-circularized fragment, or two ends of two\
different chromatin fragments. The material was \
then reverse cross-linked, purified and digested\
with MmeI. MmeI cuts 20 base pairs away from its \
recognition site. Tag-linker-tag (paired-end\
tag, PET) constructs were sequenced by ultra-high-throughput\
methods (Illumina or SOLiD paired-end sequencing). \
ChIA-PET reads were processed with\
the ChIA-PET Tool (Li et al., 2010)\
by the following steps: linker filtering, \
short reads mapping, PET classification, binding site \
identification, and interaction cluster identification. \
The high-confidence binding sites and \
chromatin interaction clusters were reported.\
\
Verification
\
\
\
Chromatin interactions identified by ChIA-PET have been \
validated by 3C, ChIP-3C, 4C and DNA-FISH (Fullwood et al., 2009).\
\
Credits
\
\
\
Genome Institute of Singapore: Guoliang Li, Xiaoan Ruan, Kuljeet Singh Sandhu, Fabianus Hendriyan Mulawadi, Huay Mei Poh, Yufen Goh, Su Qin Peh, Wing-Kin Sung, Yijun Ruan\
\
\
Stanford University: Raymond Auerbach, Michael Snyder
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
This track is produced as part of the ENCODE Transcriptome Project. \
It shows the starts and ends of DNA fragments from different \
cell\
lines\
determined by paired-end ditag (PET) sequencing using different\
DNA\
fragment sizes \
for analysis of genome structural variation. \
\
\
Display Conventions and Configuration
\
\
In the graphical display, the ends are represented by blocks connected by a \
horizontal line. In full and packed display modes, the arrowheads on the \
horizontal line represent the strand, and an ID of the \
format XXXXX-N-M is shown to the left of each PET, where X \
is the unique ID for each PET, N indicates the number of mapping \
locations in the genome (1 for a single mapping location, 2 for two mapping \
locations, and so forth), and M is the number of PET sequences at \
this location. PETs that mapped to multiple locations may represent low \
complexity or repetitive sequences.\
\
\
To show only selected subtracks, uncheck the boxes next to the tracks that \
you wish to hide.
\
\
\
The query sequences in the SAM/BAM alignment representation \
are normalized to the + strand of the reference genome\
(see the SAM Format Specification\
for more information on the SAM/BAM file format). If a query sequence was\
originally the reverse of what has been stored and aligned, it will have the\
following\
flag:\
\
(0x10) Read is on '-' strand.\
\
\
BAM/SAM alignment representations also have tags. The following tags are associated with this track: RG, CQ, CS, and MD.
\
\
Mapping quality is not available for this track and so, in accordance with the\
SAM Format Specification,\
a score of 255 is used.
\
\
Methods
\
\
Sample genomic DNA was isolated, hydrosheared at a given size-range, then\
ligated with specific DNA linker sequence at both ends, followed by\
gel-selection of the desired size, e.g., 1 kb, 10 kb, etc. respectively. \
The DNA fragments modified with linker at both ends (e.g., 10 kb) were then\
circularized by ligation, followed by restriction digest with enzyme EcoP15I to\
generate DNA PETs (25 bp tag from each end). The PETs were ligated with SOLiD\
sequencing adaptors at both ends, then amplified by PCR and purified as complex\
templates for high throughput DNA sequencing. The current DNA PET data sets\
submitted are mostly generated by SOLiD platform. \
Cells were grown according to the approved \
ENCODE cell culture\
protocols.\
\
\
Data:\
Reads of DNA PETs were mapped onto reference genome, GRCh37, hg19, excluding mitochondrion, haplotypes, randoms and chromosome Y. Majority of the PETs mapped on the same chromosome in correct orientations and within expected distance span (e.g., a 10 kb DNA PET was expected mapping on ~10 kb span distance). A small portion of misaligned PETs, called discordant PETs, mapped either too far from each other, had wrong orientations, or in different chromosomes indicating various genome structure or variations observed between the sample and the reference genome. The variations could be due to deletion, inversion, tandem repeats, trans-location, fusion etc.\
\
Mapping parameters:\
Mapping was done using Applied Biosystems' SOLiD alignment and pairing pipeline. The ungapped alignment is done in color space. Seed and extend strategy is adopted where initial seed length of 25 is mapped with maximum of 2 mismatches and then extended to read length, each color space match is awarded a score of +1 and each mismatch is awarded a penalty of -2.\
\
Read Score = read length - # of mismatches - 2 * # of mismatches\
\
After extension each read is trimmed to its maximum score, shortest length.\
\
The color space sequences are then converted into base space and checked to ensure that each sequence has a maximum of 2 base pair mismatches. If any sequence has more than 2 mismatches, then that pair is discarded. The final output is converted into SAM/BAM format.\
\
\
Verification
\
Representative structural variations identified by DNA PET data have been \
verified by targeted PCR and sequencing analysis to confirm the predicted \
rearrangement sites. Some of them have also been validated by FISH.\
\
Credits
\
\
The GIS DNA PET libraries and sequence data for genome structural \
variation analysis were produced at the \
Genome Institute of\
Singapore. \
The data were mapped and analyzed by scientists Xiaoan Ruan, Atif Shahab, \
Chialin Wei, and Yijun Ruan at the Genome Institute of Singapore.\
\
Contact:\
Yijun Ruan (now at The Jackson Laboratory) \
\
Data Release Policy
\
\
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
This track was produced as part of the ENCODE Transcriptome Project\
and shows the starts and ends of full-length mRNA transcripts determined\
by Gene Identification Signature (GIS) paired-end ditag (PET) sequencing using\
RNA extracts\
from different\
sub-cellular\
localizations\
in different\
cell lines.\
Short tags used in GIS-PET sequencing provide signatures\
of the 5' start and the 3' end of individual mRNA transcripts, thus\
demarcating the first and last exon, and contain enough coding information\
to map the tags uniquely to the genome, in turn making it possible to\
identify unconventional fusion transcripts. These 5' and 3' paired-end tags\
extracted by restriction enzyme are ligated together to form a ditag for sequencing,\
where the 3' end includes two adenine bases from the polyA tail thereby \
reducing the relative amount of unique sequence.\
The RNA-PET information provided in this track is composed of two different\
PET length versions based on how the PETs were extracted using different\
restriction enzymes. The cloning-based PET method (18 bp and 16 bp for each of\
the 5' and 3' ends) is an earlier version (Ng et al., 2006). While the\
cloning-free PET approach (27 bp and 25 bp for each of the 5' and 3' ends) is a\
recently modified version which uses Type III restriction enzyme EcoP15I\
to generate a longer length of PET (Ruan and Ruan, 2012), \
which results in a significant enhancement\
in both library construction and mapping efficiency. Both versions of PET\
templates were sequenced by Illumina platform at 2 x 36 bp paired-end\
sequencing.\
See the Methods and References sections below for more details.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
Color differences among the views are arbitrary. They provide a visual cue for\
distinguishing between the different cell types and compartments.\
\
\
\
Clusters\
The Clusters view shows clusters built from the alignments.\
In the graphical display, the ends are represented by blocks connected by a\
horizontal line. In full and packed display modes, the arrowheads on the\
horizontal line represent the direction of transcription. Although some of\
the subtracks have score information most of them do not and score filtering\
has been disabled.\
Plus Raw Signal\
The Plus Raw Signal view graphs the base-by-base density of tags on the forward strand.\
Minus Raw Signal\
The Minus Raw Signal view graphs the base-by-base density of tags on the reverse strand.\
Alignments\
The Alignments view shows alignment of individual PET sequences.\
The alignment file follows the standard SAM/BAM format indicated in the\
SAM Format Specification.\
Some files also use the tag XA, generated by Bowtie, to represent the total\
number of mismatches in the tag.\
\
Metadata for a particular subtrack can be found by clicking the down arrow\
in the list of subtracks.
\
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Two different GIS RNA-PET protocols were used to generate the full-length transcriptome\
PETs: one is based on a cloning-free RNA-PET library construction and sequencing strategy (Ruan and Ruan, 2012),\
and the other is a cloning-based library construction (Ng et al., 2005)\
and recent Illumina paired-end sequencing.\
\
Cloning-free RNA-PET (52 bp reads, 27 bp and 25 bp tag for each of the 5' and 3' ends)
\
\
Method:\
The cloning-free RNA-PET libraries were generated from polyA mRNA\
samples and constructed using a recently modified GIS protocol (Ruan and Ruan, 2012).\
High quality total RNA was used as starting material and purified with a\
MACs polyT column to obtain full-length polyA mRNAs. Approximately 5\
µgrams of enriched polyA mRNA was used for reverse transcription\
to convert polyA mRNA to full-length cDNA. Specific linker sequences\
were ligated to the full-length cDNA. The modified cDNA was circularized\
by ligation generating circular cDNA molecules. The 27 bp tag from each\
end of the full-length cDNA was extracted by type III enzyme EcoP15I\
digestion. The resulting PETs were ligated with sequencing adaptors at\
both ends, amplified by PCR, and further purified as complex templates\
for paired-end sequencing using Illumina platforms.\
\
\
Data:\
The sequenced RNA-PETs resulted in reads of 27 bp and 25 bp corresponding\
to the 5' and 3' end of each cDNA, respectively.\
Redundant and noisy reads were excluded from downstream\
analysis. Strand-specific orientation of each PET was determined using\
the barcode built into the sequencing template. The oriented RNA-PET was\
mapped onto the reference genome allowing up to two mismatches. The majority\
of the PETs mapped to known transcripts. A small portion of misaligned PETs,\
defined as discordant PETs, mapped too far from each tag, with wrong\
orientations, or to different chromosomes. These discordant PETs indicated\
the existence of some transcription variants that could be caused by\
genomic structural variants such as fusions, deletions, insertions,\
inversions, tandem repeats, translocations or RNA trans-splicing etc. \
\
\
Cloning-based RNA-PET (34 bp reads, 18 bp and 16 bp tag for each of the 5' and 3' ends)
\
\
Method:\
The cloning-based RNA-PET (GIS-PET) libraries were generated from polyA RNA samples\
and constructed using the protocol described by Ng et al., 2005. Total RNA in good\
quality was used as starting material and further purified with a MACs polyT column\
to enrich polyA mRNA. Approximately 10 µgrams of polyA enriched mRNA was\
reverse transcribed resulting in full-length cDNA. The obtained full-length\
cDNA was modified with specific linker sequences and ligated to a GIS-developed (pGIS4)\
vector. The resulting plasmids form a complex full-length cDNA library, which\
was cloned into E. coli. The plasmid DNA was then isolated from the library,\
followed by MmeI (a type II enzyme) digestion to generate a final length of 18 bp/16 bp\
ditags from each end of the full-length cDNA. The single ditag (or PET) was then\
ligated to form a diPET structure (a concatemer with two unrelated PET linked by\
a linker sequence) to facilitate Illumina paired-end sequencing. \
\
\
Data:Sequencing of clone-based RNA-PETs resulted in paired reads of 18 bp\
and 16 bp corresponding to the 5' and 3' end of each cDNA, respectively. The redundant\
reads were filtered out and unique reads were included for analysis. PET sequences\
were then mapped to (GRCh37, hg19, excluding mitochondrion, haplotypes, randoms\
and chromosome Y) reference genome using the following specific criteria\
(Ruan et al., 2007):
\
\
A minimal continuous 16 bp match must exist for the 5' signature; the 3' signature\
must have a minimal continuous 14 bp match
\
Both 5' and 3' signatures must be present on the same chromosome
\
Their 5' to 3' orientation must be correct (5' signature followed by 3' signature)
\
The maximal genomic span of a PET genomic alignment must be less than one million bp
\
\
\
PETs mapping to 2-10 locations are also included and may represent duplicated genes\
or pseudogenes in the genome.\
A majority of the PETs mapped to known transcripts or splice variants. A small\
portion of misaligned PETs,\
defined as discordant PETs, mapped either too far from each other, in the wrong orientation, or\
to different chromosomes. The presence of discordant PETs indicates that some\
transcriptional variants exist. These variants could be caused by genomic\
structural variants such as fusions, deletions, insertions, inversions, tandem\
repeats, translocation or RNA trans-splicing etc. \
\
Clusters
\
PETs were clustered using the following procedure. The mapping location of\
the 5' and 3' tag of a given PET was extended by 100 bp in both directions\
creating 5' and 3' search windows. If the 5' and 3' tags of a second PET mapped\
within the 5' and 3' search window of the first PET then the two PETs were clustered\
and the search windows were adjusted so that they contained the tag\
extensions of the second PET. PETs which subsequently\
mapped with their 5' and 3' tags within the adjusted 5' and 3' search\
window, respectively, were also assigned to this cluster \
and the search window was readjusted. This iterative process continued\
until no new PETs fell within the search window. This process is\
repeated until all PETs were assigned to a cluster.
\
\
\
The total count of PET sequences mapped to the same locus but with\
slight nucleotide differences may reflect the expression level of the\
transcripts. PETs that mapped to multiple locations may represent low\
complexity or repetitive sequences.\
\
\
Verification
\
To assess overall PET quality and mapping specificity, the top ten\
most abundant PET clusters that mapped to well-characterized\
known genes were examined. Over 99% of the PETs represented full-length\
transcripts, and the majority fell within 10 bp of the\
known 5' and 3' boundaries of these transcripts. The PET mapping was\
further verified by confirming the existence of physical\
cDNA clones represented by the ditags. PCR primers were designed\
based on the PET sequences and amplified the corresponding cDNA\
inserts either from full-length cDNA library (cloning-based PET)\
or from isolated total RNA (cloning-free PET) for sequencing confirmation. \
\
\
Release Notes
\
\
This is Release 2 (Aug 2012) of this track. It adds data for tier 2\
cell lines (A549, SK-N-SH, IMR90, and MCF-7). This newer data has no\
scores in the Clusters files. \
\
\
Note: As mentioned above, this track mixes two different methodologies.\
The clone-based data has functioning score fields in\
the Cluster files which could be used for filtering or shading.\
However, the clone-free data either has scores that are not scaled\
well or scores that are set to zero for all items. Therefore, the scores \
are useful for some tables and not for others.\
\
\
\
Credits
\
\
The GIS RNA-PET libraries and sequence data for transcriptome\
analysis were generated and analyzed by\
scientists Xiaoan Ruan, Atif Shahab, Chialin Wei, and Yijun Ruan at the \
Genome Institute of\
Singapore. \
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
This track is produced as part of the ENCODE Transcriptome Project.\
It shows high throughput sequencing of \
\
RNA samples from \
\
tissues or sub cellular compartments from \
cell lines\
included in the ENCODE Transcriptome subproject. The overall \
goal of the ENCODE project is to identify and characterize all functional \
elements in the sequence of the human genome.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
To show only selected subtracks, uncheck the boxes next to the tracks that \
you wish to hide.
\
\
Color differences among the views are arbitrary. They provide a \
visual cue for \
distinguishing between the different cell types.
\
\
\
Plus Raw Signal\
The Plus Raw Signal view graphs the base-by-base density of alignments \
on the + strand.\
Minus Raw Signal\
The Minus Raw Signal view graphs the base-by-base density of alignments\
on the - strand.\
Alignments\
The Alignments view shows reads mapped to the genome, both split alignments and alignments mapped to one exon. Sequences determined to be transcribed on the positive strand are shown in blue. \
Sequences determined to be transcribed on the negative strand are shown in \
red. Sequences for which the direction of \
transcription was not able to be determined are shown in black. \
For more information on the XL XJ and XU custom tags used in these files, please contact the producing lab. Please see the Bowtie Manual for more information about the SAM Bowtie output (including other tags) and the \
SAM Format Specification \
for more information on the SAM/BAM file format.\
\
\
Methods
\
\
\
The RNA-Seq data were generated from high quality polyA RNA, and the RNA-Seq\
libraries were constructed using SOLiD Whole Transcriptome (WT) protocol and\
reagent kit. Total RNA in good quality was used as starting materials and\
purified twice through MACs polyT column aimed to enrich polyA and remove any\
contaminants (e.g., rRNA, tRNA, DNA, protein etc.). A one microgram enriched\
polyA RNA sample was then fragmented to small pieces, and a gel-based selection\
method was performed to collect fragmented random polyA at a size-range of\
50-150 nt in length. The collected fragmental RNA was then hybridized and\
ligated to a mix of adapters provided from ABI, followed by reverse\
transcription to generate corresponding cDNAs. The resulting cDNA library was\
further amplified by PCR and sequenced by SOLiD platform for single reads at 35\
bp length (new version in 50 bp length). \
Cells were grown according to the approved \
ENCODE cell culture\
protocols.\
\
\
\
Data: The SOLiD-generated RNA-Seq reads were 35 bp in length. An \
initial filtering process was performed to remove any non-desirable contamination\
sequences, such as rRNA, tRNA, and repeats etc. A read-split mapping approach\
was developed to map the 35 bp reads onto the reference genome\
(GRCh37/hg19) excluding mitochondrion, haplotypes, randoms and chromosome Y.\
\
\
\
Mapping parameters: Strand specific mapping was done using Applied Biosystems' SOLiD \
alignment where all the reads were mapped to the genome, and to exon-exon junction database. Seed and extend strategy is adopted where initial seed length of 25 is mapped with maximum of 2 mismatches and then extended to read length, each color space match is awarded a score of +1 and each mismatch is awarded a penalty of -2.\
\
\
\
After extension each read is trimmed to its maximum score, shortest length.\
The color space sequences are then converted into base space and checked to ensure that each sequence has a maximum of 2 base pair mismatches. If any sequence has more than 2 mismatches, then that sequence is discarded.\
\
\
Credits
\
\
The GIS RNA-seq libraries and sequence data for transcriptome analysis were\
produced at the \
Genome Institute of\
Singapore. \
The data were mapped and analyzed by scientists from the Genome Institute of \
Singapore.\
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
\
expression 1 compositeTrack on\
controlledVocabulary encode/cv.ra cellType=cell localization=localization rnaExtract=rnaExtract\
dimensionAchecked rep1,rep2\
dimensions dimensionY=localization dimensionX=cellType dimensionA=rep\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line localization=Localization rnaExtract=RNA Extract replicate=Rep bioRep=Cross_Lab Replicate labExpId=Lab Exp_ID view=View dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until md5sum=md5sum\
group expression\
longLabel RNA-seq from ENCODE/Genome Institute of Singapore\
noInherit on\
priority 0\
shortLabel GIS RNA-seq\
sortOrder cellType=+ localization=+ rnaExtract=+ view=+ rep=+\
subGroup1 view Views PlusRawSignal=Plus_Raw_Signal MinusRawSignal=Minus_Raw_Signal AllRawSignal=All_Raw_Signal Alignments=Alignments\
subGroup2 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1)\
subGroup3 rep Replicate rep1=1 rep2=2\
subGroup4 rnaExtract RNA_Extract longPolyA=PolyA+\
subGroup5 localization Localization cell=Whole_Cell cytosol=Cytosol\
superTrack wgEncodeRnaSeqSuper dense\
track wgEncodeGisRnaSeq\
type bed 3\
encTfChipPkENCFF710VEH GM12878 CTCF 2 narrowPeak Transcription Factor ChIP-seq Peaks of CTCF in GM12878 from ENCODE 3 (ENCFF710VEH) 1 100 153 38 0 204 146 127 0 0 0 regulation 1 color 153,38,0\
longLabel Transcription Factor ChIP-seq Peaks of CTCF in GM12878 from ENCODE 3 (ENCFF710VEH)\
parent encTfChipPk off\
shortLabel GM12878 CTCF 2\
subGroups cellType=GM12878 factor=CTCF\
track encTfChipPkENCFF710VEH\
wgEncodeHaibTfbsGm12878Pax5n19Pcr1xRawRep1 GM78 PAX5 PCR1 1 bigWig 0.230610 131.505005 GM12878 PAX5-N19 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB 2 100 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 PAX5-N19 PCR1x ChIP-seq Raw Signal Rep 1 from ENCODE/HAIB\
parent wgEncodeHaibTfbsViewRawSignal off\
shortLabel GM78 PAX5 PCR1 1\
subGroups view=RawSignal factor=PAX5N19 cellType=t1GM12878 protocol=PCR1X treatment=NONE rep=rep1\
track wgEncodeHaibTfbsGm12878Pax5n19Pcr1xRawRep1\
type bigWig 0.230610 131.505005\
wgEncodeSydhTfbsGm12878Znf274StdSig GM78 Z274 Std bigWig 1.000000 11447.000000 GM12878 ZNF274 Standard ChIP-seq Signal from ENCODE/SYDH 2 100 153 38 0 204 146 127 0 0 0 regulation 0 color 153,38,0\
longLabel GM12878 ZNF274 Standard ChIP-seq Signal from ENCODE/SYDH\
parent wgEncodeSydhTfbsViewSignal on\
shortLabel GM78 Z274 Std\
subGroups view=Signal factor=ZNF274 cellType=t1GM12878 control=STD treatment=aNONE\
track wgEncodeSydhTfbsGm12878Znf274StdSig\
type bigWig 1.000000 11447.000000\
gnfAtlas2 GNF Atlas 2 expRatio GNF Expression Atlas 2 0 100 0 0 0 127 127 127 0 0 0
Description
\
This track shows expression data from the GNF Gene Expression\
Atlas 2. This contains two replicates each of 79 human\
tissues run over Affymetrix microarrays. \
By default, averages of related tissues are shown. Display all tissues\
by selecting "All Arrays" from the "Combine arrays" menu\
on the track settings page.\
As is standard with microarray data red indicates overexpression in the \
tissue, and green indicates underexpression. You may want to view gene\
expression with the Gene Sorter as well as the Genome Browser.
\
The tracks that are listed here contain data from unrelated individuals sequenced as part of\
various population-genetic and disease-specific studies collected by the Genome Aggregation Database (gnomAD).\
Individuals affected by severe pediatric diseases and first-degree relatives were excluded from the\
studies. However, some individuals with severe disease may still have remained in the datasets,\
although probably at an equivalent or lower frequency than observed in the general population. Raw\
data from all studies have been reprocessed using a standardized pipeline and jointly variant-called\
process, which aims to increase consistency between projects. For more information on the processing\
pipeline and population annotations, see the following blog post gnomAD,\
gnomAD v2.1 \
and the 2.0.2 README.
\
\
\
The available data tracks are:\
\
Genome Variants \
(gnomAD Genomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 15,708 \
unrelated individuals' genome sequences from the v2.1.1 release.
\
Exome \
Variants (gnomAD Exomes) - Shows single nucleotide\
variants (SNVs) and small insertion/deletion variants of <50 nucleotides (indels) of 125,748 \
unrelated individuals' exome sequences from the v2.1.1 release.
\
These tracks are multi-view composite tracks that contain multiple data types (views). Each view\
within a track has separate display controls, as described here. Most gnomAD tracks contain\
multiple subtracks, corresponding to subsets of data. If a track contains many subtracks, only some\
subracks will be displayed by default. The user can select which subtracks are displayed via the\
display controls on the track details page.\
\
\
Data Access
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
\
varRep 0 group varRep\
html gnomad\
longLabel Genome Aggregation Database (gnomAD) - Variants, Coverage, and Constraint\
pennantIcon Updated red ../goldenPath/newsarch.html#032624 "Updated Mar. 26, 2024"\
shortLabel gnomAD\
superTrack on\
track gnomadSuper\
gnomadPLI gnomAD Constraint Metrics bigBed 12 Genome Aggregation Database (gnomAD) - Predicted Constraint Metrics (pLI and Z-scores) 3 100 0 0 0 127 127 127 0 0 0
Description
\
\
The Genome Aggregation Database (gnomAD) - Predicted Constraint Metrics track set contains\
metrics of pathogenicity per-gene as predicted for gnomAD v2.1.1 and identifies genes subject to\
strong selection against various classes of mutation.\
\
\
\
This track includes several subtracks of constraint metrics calculated at gene (canonical\
transcript), transcript and transcript-region level. For more information see the following\
blog post.\
The metrics include:\
\
Observed and expected variant counts per transcript/gene\
Observed/Expected ratio (O/E)\
Z-scores of the observed counts compared to expected\
Probability of loss of function intolerance (pLI), for predicted loss-of-function (pLoF) variation only\
Chi-Squared difference of observed to expected counts, for the regional missense constraint track only\
\
\
\
Display Conventions and Configuration
\
\
There are three "groups" of tracks in this set:\
\
Gene/Transcript LoF Constraint tracks: Predicted constraint metrics at the whole gene\
level or whole transcript level for three different types of variation: missense, synonymous,\
and predicted loss of function. The Gene Constraint track displays metrics for a canonical \
transcript per gene defined as the longest isoform. The Transcript Constraint track displays \
metrics for all transcript isoforms. Items on both tracks are shaded according to the pLI score,\
with outlier items shaded in grey.\
\
Gene/Transcript Missense Constraint tracks: The missense constraint tracks are built\
similarly to the LoF constraint tracks, however the items displayed are based on \
missense Z scores.\
All items are colored black, and individual Z scores can be seen on mouseover. \
Regional Constraint track: Missense-variation constrained regions at the sub-genic\
level. This track displays metrics for transcripts that have two or more regions with \
significantly different levels of missense constraint. All items are colored black.\
\
All tracks follow the general configuration settings for bigBed tracks. Mouseover on the \
Gene/Transcript Constraint tracks shows the pLI score and the loss of function \
observed/expected upper bound fraction (LOEUF), while mouseover on the Regional\
Constraint track shows only the missense O/E ratio. Clicking on items in any track brings\
up a table of constraint metrics.\
\
\
\
Clicking the grey box to the left of the track, or right-clicking and choosing the Configure option,\
brings up the interface for filtering items based on their pLI score, or labeling the items\
based on their Ensembl identifier and/or Gene Name.\
\
\
Methods
\
\
Please see the gnomAD browser help page and FAQ for further explanation of the topics below.
\
\
Observed and Expected Variant Counts
\
\
Observed count: The number of unique single-nucleotide variants in each transcript/gene\
with 123 or fewer alternative alleles (MAF < 0.1%).\
\
\
Expected count: A depth-corrected probability prediction model that takes into account\
sequence context, coverage, and methylation was used to predict expected\
variant counts. For more information please see Lek et al., 2016.\
\
\
Variants found in exons with a median depth < 1 were removed from both counts.\
\
The O/E constraint score is the ratio of the observed/expected variants in that gene. Each item in\
this track shows the O/E ratio for three different types of variation: missense, synonymous, and\
loss-of-function. The O/E ratio is a continuous measurement of how tolerant a gene or\
transcript is to a certain class of variation. When a gene has a low O/E value, it is under stronger\
selection for that class of variation than a gene with a higher O/E value. Because Counts depend on\
gene size and sample size, the precision of the values varies a lot from one gene to the next. \
Therefore, the 90% confidence interval (CI) is also displayed along with the O/E ratio to better\
assist interpretation of the scores.\
\
When evaluating how constrained a gene is, it is essential to consider the CI when using O/E. In \
research and clinical interpretation of Mendelian cases, pLI > 0.9 has been widely used for \
filtering. Accordingly, the Gnomad team suggests using the upper bound of the O/E confidence interval\
LOEUF < 0.35 as a threshold if needed.\
\
Please see the Methods section below for more information about how the scores were calculated.\
\
\
pLI and Z-scores
\
\
The pLI and Z-scores of the deviation of observed variant counts relative to the expected number \
are intended to measure how constrained or intolerant a gene or transcript is to a specific type of\
variation. Genes or transcripts that are particularly depleted of a specific class of variation\
(as observed in the gnomAD data set) are considered intolerant of that specific type of variation.\
Z-scores are available for the missense and synonynmous categories and pLI scores are available for\
the loss-of-function variation.\
\
\
NOTE: The Regional Constraint track data reflects regions within transcripts that are\
intolerant of missense variation within the ExAc dataset and was calculated with the method\
described by Samocha et al., 2017.\
\
\
Missense and Synonymous: Positive Z-scores indicate more constraint (fewer observed \
variants than expected), and negative scores indicate less constraint (more observed variants than\
expected). A greater Z-score indicates more intolerance to the class of variation. Z-scores\
were generated by a sequence-context-based mutational model that predicted the number of expected\
rare (< 1% MAF) variants per transcript. The square root of the chi-squared value of the \
deviation of observed counts from expected counts was multiplied by -1 if the observed count was\
greater than the expected and vice versa. For the synonymous score, each Z-score was corrected by\
dividing by the standard deviation of all synonymous Z-scores between -5 and 5. For the missense\
scores, a mirrored distribution of all Z-scores between -5 and 0 was created, and then all missense\
Z-scores were corrected by dividing by the standard deviation of the Z-score of the mirror\
distribution.\
\
\
Loss-of-function: pLI closer to 1 indicates that the gene or transcript cannot tolerate\
protein truncating variation (nonsense, splice acceptor and splice donor variation). The gnomAD\
team recommends transcripts with a pLI >= 0.9 for the set of transcripts extremely intolerant\
to truncating variants. pLI is based on the idea that transcripts can be classified into three\
categories:\
\
null: heterozygous or homozygous protein truncating variation is completely tolerated\
recessive: heterozygous variants are tolerated but homozygous variants are not\
haploinsufficient: heterozygous variants are not tolerated\
\
An expectation-maximization algorithm was then used to assign a probability of belonging in each\
class to each gene or transcript. pLI is the probability of belonging in the haploinsufficient class.\
\
\
\
Please see Samocha et al., 2014 and Lek et al., 2016 for further discussion of these metrics.\
\
\
Transcripts Included
\
\
Transcripts from GENCODE v19 were filtered according to the following criteria:\
\
Must have methionine at start of coding sequence\
Must have stop codon at end of coding sequence\
Must be divisible by 3\
Must have at least one observed variant when removing exons with median depth < 1\
Must have reasonable number of missense and synonymous variants as determined by a Z-score cutoff\
\
After filtering the transcript set, 18225 transcripts were left.\
\
\
\
UCSC Track Methods
\
Gene and Transcript Constraint tracks
\
\
Per gene and per transcript data were downloaded from the gnomAD Google Storage bucket:\
\
These data were then joined to the Gencode v19 set of genes/transcripts available at the UCSC\
Genome Browser and then transformed into a bigBed 12+5. For the full list of commands used to\
make this track please see the "gnomAD 2 pLI and other loss-of-function metrics" section\
of the\
makedoc.\
\
Regional Constraint track
\
\
Supplementary Table 4 from the \
associated publication was downloaded and joined to the Gencode v19 set of transcripts\
available at UCSC and then transformed into a bigBed 12+6. For the full list of commands\
used to make this track please the "gnomAD Missense Constraint Scores" section of the\
makedoc.\
\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all \
others, is available via our API. However, for bulk \
processing, it is recommended to download the dataset. The genome annotation is stored in a bigBed \
file that can be downloaded from the\
download server. The exact\
filenames can be found in the track configuration file. Annotations can be converted to ASCII text\
by our tool bigBedToBed which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and binaries can be\
found here. The tool\
can also be used to obtain only features within a given range, for example:
\
The Genome Aggregation Database (gnomAD) - Genome and Exome Sample Coverage track\
set shows various read-depth variant metrics calculated separately for exomes and genomes on a ~10%\
subset of the v2.0.2 samples. Multiple exome capture methods and sequencing chemistries were used\
for sequencing, so coverage varies between individuals across sites. This variation of coverage is\
incorporated in this track. \
\
\
\
This track includes several subtracks of average coverage metrics and sample percentage of coverage.\
For more information on the processing pipeline and population annotations, see the following\
blog post\
and the 2.0.2 README.
\
\
\
Display Conventions
\
\
The Average Sample Coverage graphs display the mean and median read depth of the\
samples at each base position. The details page shows calculated sample percentages for the range\
of sequence within the browser window.\
\
\
\
The nX Coverage Percentage graphs display the percentage of samples whose read\
depth is at least 1X, 5X, 10X, 15X, 20X, 25X, 30X, 50X, and 100X at each base position. The details\
page shows calculated sample percentages for the range of sequence within the browser window.\
\
\
Data Access
\
\
\
The raw data can be explored interactively with the \
Table Browser, or the Data Integrator. For\
automated analysis, the data may be queried from our REST API, and the genome annotations are stored in files that \
can be downloaded from our download server, subject\
to the conditions set forth by the gnomAD consortium (see below). Coverage values\
for the genome are in bigWig files in\
the coverage/ subdirectory. Variant VCFs can be found in the vcf/ subdirectory.
\
The Genome Aggregation Database (gnomAD) - Genome and Exome Variants tracks \
show single nucleotide variants (SNVs) and small insertion/deletion variants of <50 nucleotides\
(indels) from 125,748 exomes and 15,708 whole genomes of unrelated individuals, short variant \
release 2.1.1. For more information on the processing pipeline and population annotations, see the following\
blog post and the \
2.1.1 README.\
\
\
\
There are two tracks making up this data set:\
\
gnomAD Exome Variants: short variants of 125,748 exomes, release 2.1.1.
\
gnomAD Genome Variants: short variants of 15,708 genomes, release 2.1.1.
\
\
\
\
\
VCF files were downloaded according to the \
gnomAD instructions and\
transformed into one bigBed file per data set, as described in UCSC Methods.\
\
\
Display Conventions and Configuration
\
Display conventions
\
\
By default, a maximum of 50,000 variants can be displayed at a time (before applying the filters\
described below), before the track switches to dense display mode.\
\
\
\
Mouse hover on an item will display many details about each variant, including the affected gene(s),\
the variant type, and annotation (missense, synonymous, etc).\
\
\
\
Clicking on an item will display additional details on the variant, including a population frequency\
table showing allele count in each sub-population.\
\
\
\
Following the conventions on the gnomAD browser, items are shaded according to their Annotation\
type:\
\
pLoF
\
Missense
\
Synonymous
\
Other
\
\
\
\
Label Options
\
\
To maintain consistency with the gnomAD website, variants are by default labeled according\
to their chromosomal start position followed by the reference and alternate alleles,\
for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional\
label, if the variant is present in dbSnp.\
\
\
Filtering Options
\
\
Three filters are available for these tracks:\
\
\
\
FILTER: Used to exclude/include variants that failed Random Forest\
(RF), Inbreeding Coefficient (Inbreeding Coeff), or Allele Count (AC0) filters. The\
PASS option is used to include/exclude variants that pass all of the RF,\
InbreedingCoeff, and AC0 filters, as denoted in the original VCF.\
Annotation type: Used to exclude/include variants that are annotated as\
Probability Loss of Function (pLoF), Missense, Synonymous, or Other, as\
annotated by VEP version 85 (GENCODE v19).\
Variant Type: Used to exclude/include variants according to the type of\
variation, as annotated by VEP v85.\
\
For gnomAD Exome Variants v2.1.1, there is a Non-cancer filter used to exclude/include variants\
from samples of individuals who were not ascertained for having cancer in a cancer study.\
\
As an individual variant can possess multiple FILTER and Variant Type values,\
it is important to select any options of interest (or rather deselect if trying\
to filter out variants from the display).\
\
For the full steps used to create the track at UCSC, please see the section\
denoted "gnomAD v2.1.1 update" in the hg19 makedoc.\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser or the Data Integrator. For automated analysis, the\
data may be queried from our REST API or downloaded as files from our\
download server, subject to the conditions set forth by the\
gnomAD consortium (see below). Please refer to our \
\
mailing list archives for questions or our \
Data Access FAQ \
for more information.
\
\
\
More information about using and understanding the gnomAD data can be found in the\
gnomAD FAQ site.\
\
The Genome Aggregation Database (gnomAD) - Genome and Exome Variants tracks \
show single nucleotide variants (SNVs) and small insertion/deletion variants of <50 nucleotides\
(indels) from 125,748 exomes and 15,708 whole genomes of unrelated individuals, short variant \
release 2.1.1. For more information on the processing pipeline and population annotations, see the following\
blog post and the \
2.1.1 README.\
\
\
\
There are two tracks making up this data set:\
\
gnomAD Exome Variants: short variants of 125,748 exomes, release 2.1.1.
\
gnomAD Genome Variants: short variants of 15,708 genomes, release 2.1.1.
\
\
\
\
\
VCF files were downloaded according to the \
gnomAD instructions and\
transformed into one bigBed file per data set, as described in UCSC Methods.\
\
\
Display Conventions and Configuration
\
Display conventions
\
\
By default, a maximum of 50,000 variants can be displayed at a time (before applying the filters\
described below), before the track switches to dense display mode.\
\
\
\
Mouse hover on an item will display many details about each variant, including the affected gene(s),\
the variant type, and annotation (missense, synonymous, etc).\
\
\
\
Clicking on an item will display additional details on the variant, including a population frequency\
table showing allele count in each sub-population.\
\
\
\
Following the conventions on the gnomAD browser, items are shaded according to their Annotation\
type:\
\
pLoF
\
Missense
\
Synonymous
\
Other
\
\
\
\
Label Options
\
\
To maintain consistency with the gnomAD website, variants are by default labeled according\
to their chromosomal start position followed by the reference and alternate alleles,\
for example "chr1-1234-T-CAG". dbSNP rsID's are also available as an additional\
label, if the variant is present in dbSnp.\
\
\
Filtering Options
\
\
Three filters are available for these tracks:\
\
\
\
FILTER: Used to exclude/include variants that failed Random Forest\
(RF), Inbreeding Coefficient (Inbreeding Coeff), or Allele Count (AC0) filters. The\
PASS option is used to include/exclude variants that pass all of the RF,\
InbreedingCoeff, and AC0 filters, as denoted in the original VCF.\
Annotation type: Used to exclude/include variants that are annotated as\
Probability Loss of Function (pLoF), Missense, Synonymous, or Other, as\
annotated by VEP version 85 (GENCODE v19).\
Variant Type: Used to exclude/include variants according to the type of\
variation, as annotated by VEP v85.\
\
For gnomAD Exome Variants v2.1.1, there is a Non-cancer filter used to exclude/include variants\
from samples of individuals who were not ascertained for having cancer in a cancer study.\
\
As an individual variant can possess multiple FILTER and Variant Type values,\
it is important to select any options of interest (or rather deselect if trying\
to filter out variants from the display).\
\
For the full steps used to create the track at UCSC, please see the section\
denoted "gnomAD v2.1.1 update" in the hg19 makedoc.\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser or the Data Integrator. For automated analysis, the\
data may be queried from our REST API or downloaded as files from our\
download server, subject to the conditions set forth by the\
gnomAD consortium (see below). Please refer to our \
\
mailing list archives for questions or our \
Data Access FAQ \
for more information.
\
\
\
More information about using and understanding the gnomAD data can be found in the\
gnomAD FAQ site.\
\
The gnomAD Proportion Expression Across Transcript Scores (pext)(pext) track set displays isoform expression levels across 53 \
tissues, based on 11,706 tissue samples from the Genotype Tissue Expression (GTEx) v7 dataset.\
\
\
\
The gnomAD pext tracks provide a comprehensive view of the expression of exons across a \
gene using the proportion expression across transcripts, or pext metric, a \
transcript-level annotation metric that quantifies isoform expression for variants. This metric \
was calculated by annotating each variant with the expression of all possible consequences across \
all transcripts for each tissue and normalizing the expression of the annotation to the total \
expression of the gene, which can be interpreted as a measure of the proportion of the total \
transcriptional output from a gene that would be affected by the variant annotation in question.\
\
\
\
Each of the subtracks shows the pext metric for a specific tissue, except the gnomAD \
pext Mean Proportion subtrack that shows the average pext metrics calculated from the 53 GTEx \
tissues.\
\
\
Display Conventions and Configuration
\
\
\
The pext graphs display the mean expression at each base position for protein-coding (CDS) regions.\
While UTRs do have expression in transcriptome datasets, this information is not included\
for the visualization. The details page shows calculated sample percentages for the range of\
sequence within the browser window.\
\
\
\
Methods
\
\
The pext values are derived from isoform quantifications using the RSEM tool. Detailed information about\
development and commands to create these files can be found here. Pext values were downloaded\
from the gnomAD website \
and transformed into bigWigs, one per tissue. For the full list of UCSC specific steps, please\
see the "gnomAD PEXT scores" section of the\
\
hg19 makedoc from our GitHub repository.\
\
\
\
Note that isoform quantification tools can be imprecise, especially for longer genes with many\
annotated isoforms. Regions with low pext values might be enriched for annotation errors (ie. there\
may be edge cases for which an exon that is established to be critical for gene function may appear\
unexpressed with pext). Also note that the GTEx dataset is postmortem adult tissue, and thus\
the possibility that an exon may be development-specific or may be expressed in tissues not\
represented in GTEx can not be dismissed.\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all\
others, is available via our API.\
The data can also be found directly from the gnomAD downloads page.\
\
More information about using and understanding the gnomAD data can be found in the\
gnomAD FAQ site.\
\
\
Credits
\
\
Thanks to the Genome Aggregation\
Database Consortium for making these data available, Nick Watts for developing this track on \
the gnomAD Browser, and Anna Benet-Pagès and Chris Lee for building this track on the UCSC Genome \
Browser. The data are released under the ODC Open Database License\
(ODbL) as described here.\
\
The Genome Aggregation Database (gnomAD) - Structural Variants track set shows structural variants calls (>=50 nucleotides) from the gnomAD v2.1\
release on 10,847 unrelated genomes. It mostly (but not entirely) overlaps with the genome set used\
for the gnomAD short variant release. For more information see the following blog post, \
\
Structural variants in gnomAD.
\
\
There are three subtracks in this track set:\
\
All SV's: The full set of variant annotations from all 10,847 samples.
\
Control Only SV's: Only samples from individuals not selected as a case in a\
case/control study of common disease (5,192 samples).
\
Non-neuro SV's: Only samples from individuals not selected as having a neurological\
condition in a case/control study (8,342 samples).
\
\
\
\
Display Conventions and Configuration
\
\
\
Items in all subtracks follow the same conventions: items are shaded according to variant type,\
mouseover on items indicates affected protein-coding genes, size of the variant (which may differ\
from the chromosomal coordinates in cases like insertions), variant type (insertion, duplication,\
etc), Allele Count, Allele Number, and Allele Frequency. When more than 2 genes are affected by a\
variant, the full list can be obtained by clicking on the item and reading the details page. A short\
summary of the 3 datasets is available in the below table:
\
\
\
\
Variant Type
\
All
\
Controls
\
Non-neuro
\
\
\
Breakend (BND)
\
52604
\
37891
\
44952
\
\
\
Complex (CPX)
\
4778
\
3129
\
4167
\
\
\
Translocation (CTX)
\
8
\
4
\
5
\
\
\
Deletion (DEL)
\
169635
\
116401
\
145978
\
\
\
Duplication (DUP)
\
49571
\
36223
\
43916
\
\
\
Insertion (INS)
\
109025
\
78475
\
95658
\
\
\
Inversion (INV)
\
748
\
492
\
667
\
\
\
Multi-Allele CNV (MCNV)
\
1108
\
1108
\
1108
\
\
\
\
\
Detailed information on the CNV color code is described \
here. All tracks can be \
filtered according to the size of the variant and variant type, using the track Configure\
options.\
\
\
Methods
\
\
Bed files were obtained from the gnomAD Google Storage bucket:\
\
\
\
These data were then transformed into bigBed tracks. For the full list of commands used to make this\
track please see the "gnomAD Structural Variants v2.1" section of the\
makedoc.\
\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or\
the Data Integrator. For automated access, this track, like all \
others, is available via our API. However, for bulk \
processing, it is recommended to download the dataset. The genome annotation is stored in a bigBed \
file that can be downloaded from the\
download server.\
The exact filenames can be found in the track configuration file. Annotations can be converted to\
ASCII text by our tool bigBedToBed which can be compiled from the source code or\
downloaded as a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here. The tool can\
also be used to obtain only features within a given range, for example:
\
This track shows locations in the human assembly where assembly\
problems have been noted or resolved, as reported by the\
Genome Reference Consortium (GRC). \
\
\
If you would like to report an assembly problem, please use the GRC\
issue reporting system.\
\
\
Methods
\
\
Data for this track are extracted from the GRC\
incident database from the specific species *_issues.gff3 file.\
The track is synchronized once daily to incorporate new updates. \
\
\
Credits
\
The data and presentation of this track were prepared by\
Hiram Clawson.\
\
This track represents the names of the assembled super contigs as\
established by the\
Genome Reference Consortium.\
The contigs in this track are identical to those in the\
Map Contigs track, \
the difference being the the contigs in this track\
track are named according to GRC.\
\
Data for this track were obtained from localId2acc files located at\
NCBI.
\
This track shows genetic variants likely affecting proximal gene expression in 44 human tissues \
from the\
Genotype-Tissue Expression (GTEx) V6 \
data release. \
The data items displayed are gene expression quantitative trait loci within 1MB of \
gene transcription start sites (cis-eQTLs), significantly associated with gene expression and in \
the credible set of variants for the gene at a high confidence level (95%).\
Each eQTL annotation includes the significance of the association, effect size on gene expression, \
and the probability the eQTL is a member of the 95% credible set (the set containing all causal variants\
for the gene locus, at 95% confidence level).\
\
\
Display Conventions
\
\
The eQTL item color indicates the effect size attributed to the eQTL:\
\
\
red
high positive
\
light red
moderate positive
\
light blue
moderate negative
\
blue
high negative
\
mixed
positive and negative effect in combined eQTL
\
\
\
Effect size is the regression slope, computed from the effect of the alternative allele vs. \
the reference in FPKM units, based on quantile normalized expression tables.\
For display purposes, An arbitrary cutoff of +- 2.0 FPKM defines high effect size.\
\
Combined eQTL track
\
\
Gene/variant pairs occurring in multiple tissues are combined into a single item in the display. \
The item label shows the number of tissues where the eQTL was identified, or the tissue name and\
the GTEx-convention tissue color if the eQTL was identified solely in one tissue.\
Mouseover lists all tissues affected and the effect size.\
The item color reflects the largest effect size in any tissue.\
\
Track configuration supports filtering by gene, effect size, or probability. \
Tissues can be selected via checkboxes or from the UCSC GTEx Body Map graphic.\
\
GTEx Combined eQTL Track Settings: hg19.\
\
\
Tissue eQTL tracks
\
\
This track is a composite track containing 44 subtracks representing the GTEx eQTL tissues.\
Each subtrack contains all GTEx/CAVIAR eQTLs identified for that tissue. \
\
GTEx 44 Tissues eQTL Track Settings: hg19.\
\
\
Methods
\
\
Laboratory and RNA-seq analysis methods for GTEx V6 are summarized in the \
GTEx Gene Track description page.\
\
\
Cis-eQTL's were identified from GTEx RNA-seq and genotype data (variants with minor allele \
frequency >= 1%) in 44 tissues (those with sample size >=70) using \
the FastQTL mapper at 5% FDR threshold, \
by the GTEx Laboratory, Data Analysis and Coordinating Center (LDACC), as part of the GTEx project v6p analysis. \
These cis-eQTL's were then analyzed together with genome variation information (LD) using the \
CAVIAR statistical framework\
to quantify the probability a variant is causal, at the Eskin lab at UCLA, as part of GTEx downstream \
analysis.\
The UCSC track was created using the CAVIAR 95% credible set, with significance p-values and \
effect sizes from the LDACC analysis.\
\
\
Raw data for these analyses are available from dbGaP (phs000424.v6.p1).\
\
\
Credits
\
Thanks to GTEx investigators and analysts -- particularly \
Farhad Hormozdiari\
(currently at the \
Price lab, Harvard), \
the Eskin lab at UCLA,\
the GTEx Laboratory, Data Analysis and Coordinating Center and analysts and portal team for providing this data, \
and to Christopher Brown (U Penn) ,\
for input on design of the track.\
\
References
\
\
\
GTEx Consortium., Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working\
Group., Statistical Methods groups—Analysis Working Group., Enhancing GTEx (eGTEx) groups.,\
NIH Common Fund., NIH/NCI., NIH/NHGRI., NIH/NIMH., NIH/NIDA., Biospecimen Collection Source\
Site—NDRI. et al.\
\
Genetic effects on gene expression across human tissues.\
Nature. 2017 Oct 11;550(7675):204-213.\
PMID: 29022597\
\
regulation 1 dataVersion GTEx Analysis V6p (https://www.gtexportal.org/home/datasets)\
exonNumbers off\
group regulation\
html gtexEqtl\
longLabel Combined Expression QTLs from 44 Tissues from GTEx (midpoint release, V6)\
shortLabel GTEx Combined eQTL\
track gtexEqtlCluster\
type bed 5 +\
gtexGene GTEx Gene bed 6 + Gene Expression in 53 tissues from GTEx RNA-seq of 8555 samples (570 donors) 0 100 0 0 0 127 127 127 1 0 0
Description
\
\
The\
NIH Genotype-Tissue Expression (GTEx) project\
was created to establish a sample and data resource for studies on the relationship between \
genetic variation and gene expression in multiple human tissues. \
This track shows median gene expression levels in 51 tissues and 2 cell lines, \
based on RNA-seq data from the GTEx midpoint milestone data release (V6, October 2015).\
This release is based on data from 8555 tissue samples obtained from 570 adult post-mortem individuals.
\
\
Display Conventions
\
\
In Full and Pack display modes, expression for each gene is represented by a colored bargraph,\
where the height of each bar represents the median expression level across all samples for a \
tissue, and the bar color indicates the tissue.\
Tissue colors were assigned to conform to the GTEx Consortium publication conventions.\
\
The bargraph display has the same width and tissue order for all genes.\
Mouse hover over a bar will show the tissue and median expression level.\
The Squish display mode draws a rectangle for each gene, colored to indicate the tissue\
with highest expression level if it contributes more than 10% to the overall expression\
(and colored black if no tissue predominates).\
In Dense mode, the darkness of the grayscale rectangle displayed for the gene reflects the total\
median expression level across all tissues.
\
\
The GTEx transcript model used to quantify expression level is displayed below the graph,\
colored to indicate the transcript class \
(coding, \
noncoding, \
pseudogene, \
problem), \
following GENCODE conventions.\
\
\
Click-through on a graph displays a boxplot of expression level quartiles with outliers, \
per tissue, along with a link to the corresponding gene page on the GTEx Portal.
\
The track configuration page provides controls to limit the genes and tissues displayed,\
and to select raw or log transformed expression level display.\
\
Methods
\
Tissue samples were obtained using the GTEx standard operating procedures for informed consent\
and tissue collection, in conjunction with the \
\
National Cancer Institute Biorepositories and Biospecimen.\
All tissue specimens were reviewed by pathologists to characterize and\
verify organ source.\
Images from stained tissue samples can be viewed via the \
\
NCI histopathology viewer.\
The Qiagen PAXgene non-formalin tissue preservation product was used to stabilize \
tissue specimens without cross-linking biomolecules.\
\
RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center \
(LDACC) at the Broad Institute.\
The Illumina TruSeq protocol was used to create an unstranded polyA+ library sequenced\
on the Illumina HiSeq 2000 platform to produce 76-bp paired end reads at a depth \
averaging 50M aligned reads per sample.\
Sequence reads were aligned to the hg19/GRCh37 human genome using Tophat v1.4.1 \
assisted by the GENCODE v19 transcriptome definition. \
Gene annotations were produced by taking the union of the GENCODE exons for each gene.\
Gene expression levels in RPKM were called via the RNA-SeQC tool, after filtering for \
unique mapping, proper pairing, and exon overlap.\
For further method details, see the \
\
GTEx Portal Documentation page.\
\
UCSC obtained the gene-level expression files, gene annotations and sample metadata from the \
GTEx Portal Download page.\
Median expression level in RPKM was computed per gene/per tissue.
\
\
Subject and Sample Characteristics
\
\
The scientific goal of the GTEx project required that the donors and their biospecimen \
present with no evidence of disease. \
The tissue types collected were chosen based on their clinical significance, logistical \
feasibility and their relevance to the scientific goal of the project and the \
research community. \
Postmortem samples were collected from non-diseased donors with ages ranging from 20 to 79. 34.4% of donors were female and 65.6% male. \
\
\
\
\
Additional summary plots of GTEx sample characteristics are available at the \
\
GTEx Portal Tissue Summary page.
\
\
\
Data Access
\
\
The raw data for the GTEx Gene expression track can be accessed interactively through the \
\
Table Browser or Data Integrator. Metadata can be \
found in the connected tables below.\
\
\
gtexGeneModel describes the gene names and coordinates in genePred format.
\
\
hgFixed.gtexTissue lists each of the 53 tissues in alphabetical order,\
corresponding to the comma separated expression values in gtexGene.
\
\
hgFixed.gtexSampleData has RPKM expression scores for each individual gene-sample \
data point, connected to gtexSample.
\
\
hgFixed.gtexSample contains metadata about sample time, collection site,\
and tissue, connected to the donor field in the gtexDonor table.
\
For automated analysis and downloads, the track data files can be downloaded from \
our downloads server\
or the JSON API.\
Individual regions or the whole genome annotation can be accessed as text using our utility\
bigBedToBed. Instructions for downloading the utility can be found \
here. \
That utility can also be used to obtain features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/gtex/gtexTranscExpr.bb -chrom=chr21\
-start=0 -end=100000000 stdout
\
Statistical analysis and data interpretation was performed by The GTEx Consortium Analysis \
Working Group. \
Data was provided by the GTEx LDACC at The Broad Institute of MIT and Harvard.
\
\
expression 1 group expression\
html gtexGeneExpr\
longLabel Gene Expression in 53 tissues from GTEx RNA-seq of 8555 samples (570 donors)\
maxItems 200\
shortLabel GTEx Gene\
spectrum on\
track gtexGene\
type bed 6 +\
visibility hide\
gtexEqtlTissue GTEx Tissue eQTL bed 9 + Expression QTLs in 44 tissues from GTEx (midpoint release, V6) 0 100 0 0 0 127 127 127 0 0 0 https://www.gtexportal.org/home/bubbleHeatmapPage/$$
Description
\
\
This track shows genetic variants likely affecting proximal gene expression in 44 human tissues \
from the\
Genotype-Tissue Expression (GTEx) V6 \
data release. \
The data items displayed are gene expression quantitative trait loci within 1MB of \
gene transcription start sites (cis-eQTLs), significantly associated with gene expression and in \
the credible set of variants for the gene at a high confidence level (95%).\
Each eQTL annotation includes the significance of the association, effect size on gene expression, \
and the probability the eQTL is a member of the 95% credible set (the set containing all causal variants\
for the gene locus, at 95% confidence level).\
\
\
Display Conventions
\
\
The eQTL item color indicates the effect size attributed to the eQTL:\
\
\
red
high positive
\
light red
moderate positive
\
light blue
moderate negative
\
blue
high negative
\
mixed
positive and negative effect in combined eQTL
\
\
\
Effect size is the regression slope, computed from the effect of the alternative allele vs. \
the reference in FPKM units, based on quantile normalized expression tables.\
For display purposes, An arbitrary cutoff of +- 2.0 FPKM defines high effect size.\
\
Combined eQTL track
\
\
Gene/variant pairs occurring in multiple tissues are combined into a single item in the display. \
The item label shows the number of tissues where the eQTL was identified, or the tissue name and\
the GTEx-convention tissue color if the eQTL was identified solely in one tissue.\
Mouseover lists all tissues affected and the effect size.\
The item color reflects the largest effect size in any tissue.\
\
Track configuration supports filtering by gene, effect size, or probability. \
Tissues can be selected via checkboxes or from the UCSC GTEx Body Map graphic.\
\
GTEx Combined eQTL Track Settings: hg19.\
\
\
Tissue eQTL tracks
\
\
This track is a composite track containing 44 subtracks representing the GTEx eQTL tissues.\
Each subtrack contains all GTEx/CAVIAR eQTLs identified for that tissue. \
\
GTEx 44 Tissues eQTL Track Settings: hg19.\
\
\
Methods
\
\
Laboratory and RNA-seq analysis methods for GTEx V6 are summarized in the \
GTEx Gene Track description page.\
\
\
Cis-eQTL's were identified from GTEx RNA-seq and genotype data (variants with minor allele \
frequency >= 1%) in 44 tissues (those with sample size >=70) using \
the FastQTL mapper at 5% FDR threshold, \
by the GTEx Laboratory, Data Analysis and Coordinating Center (LDACC), as part of the GTEx project v6p analysis. \
These cis-eQTL's were then analyzed together with genome variation information (LD) using the \
CAVIAR statistical framework\
to quantify the probability a variant is causal, at the Eskin lab at UCLA, as part of GTEx downstream \
analysis.\
The UCSC track was created using the CAVIAR 95% credible set, with significance p-values and \
effect sizes from the LDACC analysis.\
\
\
Raw data for these analyses are available from dbGaP (phs000424.v6.p1).\
\
\
Credits
\
Thanks to GTEx investigators and analysts -- particularly \
Farhad Hormozdiari\
(currently at the \
Price lab, Harvard), \
the Eskin lab at UCLA,\
the GTEx Laboratory, Data Analysis and Coordinating Center and analysts and portal team for providing this data, \
and to Christopher Brown (U Penn) ,\
for input on design of the track.\
\
References
\
\
\
GTEx Consortium., Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working\
Group., Statistical Methods groups—Analysis Working Group., Enhancing GTEx (eGTEx) groups.,\
NIH Common Fund., NIH/NCI., NIH/NHGRI., NIH/NIMH., NIH/NIDA., Biospecimen Collection Source\
Site—NDRI. et al.\
\
Genetic effects on gene expression across human tissues.\
Nature. 2017 Oct 11;550(7675):204-213.\
PMID: 29022597\
\
The\
NIH Genotype-Tissue Expression (GTEx)\
project was created to establish a sample and data resource for studies on the relationship\
between genetic variation and gene expression in multiple human tissues. \
This track displays median transcript expression levels in 53 tissues, based on\
RNA-seq data from the GTEx midpoint milestone data release (V6, October 2015).\
To view the GTEx tissues in anatomical context, see the \
GTEx Body Map.\
\
\
Data for this track were computed at UCSC from GTEx RNA-seq sequence data using the\
Toil\
pipeline running the kallisto transcript-level quantification tool.
\
\
Display Conventions
\
\
In Full and Pack display modes, expression for each transcript is represented by a colored \
bar chart, where the height of each bar represents the median expression level across all \
samples for a tissue, and the bar color indicates the tissue.\
\
\
The bar chart display has the same width and tissue order for all transcripts.\
Mouse hover over a bar will show the tissue and median expression level.\
The Squish display mode draws a rectangle for each gene, colored to indicate the tissue\
with highest expression level if it contributes more than 10% to the overall expression\
(and colored black if no tissue predominates).\
In Dense mode, the darkness of the grayscale rectangle displayed for the transcript reflects \
the total median expression level across all tissues.
\
\
Click-through on a graph displays a boxplot of expression level quartiles with outliers, \
per tissue.
\
\
Methods
\
\
Tissue samples were obtained using the GTEx standard operating procedures for informed consent\
and tissue collection, in conjunction with the \
\
National Cancer Institute Biorepositories and Biospecimen.\
All tissue specimens were reviewed by pathologists to characterize and\
verify organ source.\
Images from stained tissue samples can be viewed via the \
\
NCI histopathology viewer.\
The Qiagen PAXgene non-formalin tissue preservation product was used to stabilize \
tissue specimens without cross-linking biomolecules.
\
\
RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center \
(LDACC) at the Broad Institute.\
The Illumina TruSeq protocol was used to create an unstranded polyA+ library sequenced\
on the Illumina HiSeq 2000 platform to produce 76-bp paired end reads at a depth \
averaging 50M aligned reads per sample.
\
\
Sequence reads for this track were quantified to the hg38/GRCh38 human genome using kallisto\
assisted by the GENCODE v23 transcriptome definition. Read quantification was performed at UCSC\
by the Computational Genomics lab, using the Toil pipeline. The resulting kallisto files were\
combined to generate a transcript per million (TPM) expression matrix using the UCSC tool,\
kallistoToMatrix. Average TPM expression values for each tissue were calculated and \
used to generate a bed6+5 file that is the base of the track. This was done using the UCSC\
tool, expMatrixToBarchartBed. The bed track was then converted to a bigBed file using the \
UCSC tool, bedToBigBed.
\
\
The data in the hg19/GRCh37 version of this track was generated by converting the\
coordinates from the hg38/GRCh38 track data.\
Of the 189,615 BED entries from the original hg38 track, 176,220 were mapped over by transcript\
name to hg19 using wgEncodeGencodeCompV24lift37 (~93% coverage).
\
\
Subject and Sample Characteristics
\
\
The scientific goal of the GTEx project required that the donors and their biospecimen \
present with no evidence of disease. The tissue types collected were chosen based on their \
clinical significance, logistical feasibility and their relevance to the scientific goal \
of the project and the research community. Postmortem samples were collected from \
non-diseased donors with ages ranging from 20 to 79. 34.4% of donors were female and\
65.6% male. \
\
\
\
\
Additional summary plots of GTEx sample characteristics are available at the \
\
GTEx Portal Tissue Summary page.
\
\
Credits
\
\
Samples were collected by the GTEx Consortium.\
RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center \
(LDACC) at the Broad Institute.\
John Vivian, Melissa Cline, and Benedict Paten of the UCSC Computational Genomics lab were\
responsible for the sequence read quantification used to produce this track. Kate Rosenbloom \
and Chris Eisenhart of the UCSC Genome Browser group were responsible for data file\
post-processing and track configuration.
\
The Catalog is a quality controlled, manually curated, literature-derived\
collection of all published genome-wide association studies assaying at least\
100,000 SNPs and all SNP-trait associations with p-values < 1.0 x\
10-5 (Hindorff et al., 2009). For more details about the Catalog\
curation process and data extraction procedures, please refer to the\
Methods page.\
\
The GWAS Catalog data is extracted from the literature. Extracted information\
includes publication information, study cohort information such as cohort size,\
country of recruitment and subject ethnicity, and SNP-disease association\
information including SNP identifier (i.e. RSID), p-value, gene and risk\
allele. Each study is also assigned a trait that best represents the phenotype\
under investigation. When multiple traits are analysed in the same study either\
multiple entries are created, or individual SNPs are annotated with their\
specific traits. Traits are used both to query and visualise the data in the\
Catalog's web form and diagram-based query interfaces.\
\
Data extraction and curation for the GWAS Catalog is an expert activity; each\
step is performed by scientists supported by a web-based tracking and data\
entry system which allows multiple curators to search, annotate, verify and\
publish the Catalog data. Papers that qualify for inclusion in the Catalog are\
identified through weekly PubMed searches. They then undergo two levels of\
curation. First all data, including association information for SNPs, traits\
and general information about the study, are extracted by one curator. A second\
curator then performs an additional round of curation to double-check the\
accuracy and consistency of all the information. Finally, an automated pipeline\
performs validation of the extracted data, see the\
Quality control and SNP mapping section below for more\
details. This information is then used for queries and in the production of the\
diagram.\
\
phenDis 1 color 0,90,0\
group phenDis\
longLabel NHGRI-EBI Catalog of Published Genome-Wide Association Studies\
shortLabel GWAS Catalog\
snpTable snp144\
snpVersion 144\
track gwasCatalog\
type bed 4 +\
url https://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?type=rs&rs=$$\
urlLabel dbSNP:\
visibility hide\
gwipsvizRiboseq GWIPS-viz Riboseq bigWig 0 3589344 Ribosome Profiling from GWIPS-viz 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
Ribosome profiling (ribo-seq) is a technique that takes advantage of NGS\
technology to sequence ribosome-protected mRNA fragments and consequently\
allows the locations of translating ribosomes to be determined at the entire\
transcriptome level (Ingolia et al., 2009).\
\
\
\
For a more detailed description of the protocol, see Ingolia et al.\
(2012). For reviews on this technique and its applications, please refer to\
Ingolia (2014) and Michel et al. (2013).\
\
\
\
This track displays cumulative ribo-seq data obtained from human cells under\
different conditions and can be used for the exploration of human genomic loci\
that are being translated. The values on the y-axis represent the number of\
ribosome footprint sequence reads at a given position. As of December\
2014, the track contains data from 12 studies (see References section for\
details). Further details about the aggregated track and additional ribo-seq\
data from these and other studies including data obtained from other organisms\
can be found at the specialized ribo-seq browser\
GWIPS-viz.\
\
\
Methods
\
\
\
For each study used to generate this track, raw fastq files were downloaded from\
a repository (e.g., NCBI GEO datasets).\
Cutadapt\
was used to trim the relevant adapter sequence from the reads, after which reads\
below 25 nt in length were discarded. The trimmed reads were aligned to\
ribosomal RNA using\
Bowtie\
and aligning reads were discarded. The remaining reads were then aligned to the\
hg19 (GRCh37) genome assembly using\
RUM. An\
offset of 15 nt (to infer the position of the A-site) was added to the most 5'\
nucleotide coordinate of each uniquely-mapped read.\
\
\
\
The alignment files from each of the included studies were merged to generate\
this aggregate track.\
\
\
\
See individual studies at\
GWIPS-viz for a full\
description of the methods of data acquisition and processing.\
\
\
Credits
\
\
\
Thanks to Audrey Michel and GWIPS-viz for providing the data for this track.\
If you wish to cite this track, please reference:\
\
Stern-Ginossar N, Weisburd B, Michalski A, Le VT, Hein MY, Huang SX, Ma M, Shen B, Qian SB, Hengel H\
et al.\
\
Decoding human cytomegalovirus.\
Science. 2012 Nov 23;338(6110):1088-93.\
PMID: 23180859; PMC: PMC3817102\
\
expression 0 autoScale off\
group expression\
html gwipsvizRiboseq\
longLabel Ribosome Profiling from GWIPS-viz\
maxHeightPixels 100:32:8\
shortLabel GWIPS-viz Riboseq\
track gwipsvizRiboseq\
type bigWig 0 3589344\
viewLimits 0:2000\
visibility hide\
ntHumChimpCodingDiff H-C Coding Diffs bed 9 . Neandertal Alleles in Human/Chimp Coding Non-synonymous Differences in Human Lineage 0 100 0 0 0 127 127 127 0 0 24 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY,
Description
\
\
This track displays Neandertal alleles for human-chimp protein-coding\
differences on the human lineage using orangutan as the outgroup to \
determine which allele is more likely to be ancestral. \
\
\
Display Conventions and Configuration
\
\
Neandertal ancestral alleles are colored blue; derived \
(human) alleles are colored green. \
\
\
The item names show the number of Neandertal reads for the ancestral\
and derived alleles, followed by the ancestral and derived codons enclosed in\
parentheses.\
For example, if no Neandertal reads matched the ancestral base G and\
three Neandertal reads matched the derived base A, and the ancestral and\
derived codons were GTA and ATA respectively, then the item name would\
be "0G>3A(GTA>ATA)".\
If N Neandertal reads match neither ancestral nor derived\
base, then a "+N?" is added before the codons\
(i.e. "0G>3A+N?(GTA>ATA)").\
\
\
Methods
\
\
Neandertal DNA was extracted from a ~49,000-year-old bone\
(Sidrón 1253), which was excavated in El Sidrón cave,\
Asturias, Spain. Non-synonymous changes that occurred on the human\
lineage since the ancestral split with chimpanzee were identified by\
aligning human, chimpanzee and orangutan protein sequences for all\
orthologous proteins in\
HomoloGene\
(Build 58) . Comparison of these three species allowed the assignment\
of human/chimpanzee differences to their respective evolutionary\
lineages. An Agilent custom oligonucleotide array covering the 13,841\
non-synonymous changes inferred to have occurred in the human lineage\
was designed and used to capture Neandertal sequences. \
\
neandertal 1 chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY\
group neandertal\
itemRgb on\
longLabel Neandertal Alleles in Human/Chimp Coding Non-synonymous Differences in Human Lineage\
noScoreFilter .\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel H-C Coding Diffs\
track ntHumChimpCodingDiff\
type bed 9 .\
visibility hide\
hinv70Composite H-Inv 7.0 bed 12 H-Inv 7.0 Gene Predictions 0 100 0 0 0 127 127 127 0 0 0 http://h-invitational.jp/hinv/spsoup/transcript_view?hit_id=$$
Description
\
\
\
This track shows alignments of full-length cDNAs that were used as the basis\
of the H-Invitational Gene Database (HInv-DB version 7.0).\
This is the version 7.0 update from March 2010.\
\
\
\
HInv-DB entries describe the following entities:\
\
gene structures
\
functions
\
novel alternative splicing isoforms
\
non-coding functional RNAs
\
functional domains
\
sub-cellular localizations
\
metabolic pathways
\
predictions of protein 3D structure
\
mapping of SNPs and microsatellite repeat motifs in relation with orphan\
diseases
\
gene expression profiling
\
comparative results with mouse full-length cDNAs gene structures
\
\
\
\
Methods
\
\
\
To cluster redundant cDNAs and alternative splicing variants within the H-Inv\
cDNAs, a total of 41,118 H-Inv cDNAs were mapped to the human genome using\
the mapping pipeline developed by the Japan Biological Information Research\
Center (JBIRC). The mapping yielded 40,140 cDNAs that\
were aligned against the genome using the stringent criteria of at least 95%\
identity and 90% length coverage. These 40,140 cDNAs were clustered to 20,190\
loci, resulting in an average of 2.0 cDNAs per locus. For the remaining 978\
unmapped cDNAs, cDNA-based clustering was applied, yielding 847 clusters.\
In total, 21,037 clusters (20,190 mapped and 847 unmapped) were identified\
and integrated into H-InvDB. H-Inv cluster IDs (e.g. HIX0000001) were\
assigned to these clusters. A representative sequence was selected from each\
cluster and used for further analyses and annotation.\
\
\
\
A full description of the construction of the HInv-DB is contained in the\
report by the H-Inv Consortium (see References section).\
\
\
Credits
\
\
\
The H-InvDB is hosted at the Biomedicinal Information Research Center (BIRC),\
National Institute of Advanced Industrial Science and Technology (AIST) in\
Japan. The human-curated annotations were produced during invitational\
annotation meetings held in Japan during the summer of 2002, with a follow-up\
meeting in November 2004. Participants included 158 scientists\
representing 67 institutions from 12 countries.\
\
\
\
The full-length cDNA clones and sequences were produced by the\
Chinese National Human Genome Center (CHGC),\
the Deutsches Krebsforschungszentrum (DKFZ/MIPS),\
Helix Research Institute, Inc. (HRI),\
the Institute of Medical Science in the University of Tokyo (IMSUT),\
the Kazusa DNA Research Institute (KDRI),\
the Mammalian Gene Collection (MGC/NIH) and the\
Full-Length Long Japan (FLJ) project.\
\
genes 1 compositeTrack on\
configureByPopup off\
group genes\
longLabel H-Inv 7.0 Gene Predictions\
shortLabel H-Inv 7.0\
track hinv70Composite\
type bed 12\
url http://h-invitational.jp/hinv/spsoup/transcript_view?hit_id=$$\
visibility hide\
wgEncodeAwgTfbsSydhH1hescCtbp2UcdUniPk H1-hESC CTBP2 narrowPeak H1-hESC TFBS Uniform Peaks of CtBP2 from ENCODE/USC/Analysis 1 100 0 107 27 127 181 141 0 0 0 regulation 1 color 0,107,27\
longLabel H1-hESC TFBS Uniform Peaks of CtBP2 from ENCODE/USC/Analysis\
parent wgEncodeAwgTfbsUniform off\
shortLabel H1-hESC CTBP2\
subGroups tier=a10 cellType=a10H1HESC factor=CTBP2 lab=USC\
track wgEncodeAwgTfbsSydhH1hescCtbp2UcdUniPk\
wgEncodeHaibGenotype HAIB Genotype bed 9 + Genotype (CNV and SNP) by Illumina 1MDuo and CBS from ENCODE/HudsonAlpha 0 100 0 0 0 127 127 127 0 0 0
Description
\
This track is produced as part of the ENCODE project. The track displays copy number variation (CNV) as determined by the Illumina Human 1M-Duo Infinium HD BeadChip assay and circular binary segmentation (CBS). The Human 1M-Duo contains more than 1,100,000 tagSNP markers and a set of ~60,000 additional CNV-targeted markers. The median spacing between markers is 1.5 kb and the mean spacing is 2.4 kb. The B-allele frequency and genotyping single nucleotide polymorphism (SNP) data generated by the experiment are not displayed, but are available for download from the Downloads page. \
\
\
Where applicable, biological replicates of each cell line are reported separately. Possible uses of the data include correction of copy number in peak-calling for ChIP-seq, transcriptome, DNase hypersensitivity, and methylation determinations.\
\
\
Display Conventions and Configuration
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
The track displays regions of the genome where copy number variation has been assessed. CNV regions are colored by type:
\
\
blue = amplified \
black = normal\
orange = heterozygous deletion \
red = homozygous deletion\
\
\
The mean log R ratio for each region can be seen by clicking on each individual region. See Methods below for significance of log R ratio values. The mean log R ratio for each region is reported in the .bed file available for download.\
\
The Illumina 1M-Duo B-allele frequency data is available from the Supplemental Materials directory on the Downloads page. The file (wgEncodeHaibGenotypeBalleleSnp.txt) was generated using the standard Illumina protocol and contains the B-allele frequency for all cell types tested. The genotype calls for all cell types tested are also available for download (wgEncodeHaibGenotypeGtypeSnp.txt). Genotyping calls with a Gencall value greater than 0.6 are considered significant. \
\
\
Replicate Numbering
\
\
The replicate labeling in the genome browser view is a\
counter indicating the total number of replicates submitted (UCSC Rep). \
The producing lab has replicate numbers (Lab Rep) that correspond to their internal bio-replicate numbering.\
Where these two numbering systems conflict, both are listed in the long label of the specific track.\
When comparing data across tracks, the lab replicate number should be considered. In the downloads directory both replicate numbers are listed. The files are labeled with the lab replicate number.\
\
\
\
Methods
\
\
Isolation of genomic DNA and hybridization
\
Cells were grown according to the approved ENCODE cell culture protocols by the Myers lab and by other ENCODE production groups. The production group is reported in the metadata. Genomic DNA was isolated using the DNeasy Blood and Tissue Kit (Qiagen). DNA concentration and quality were determined by fluorescence (Invitrogen Quant-iT dsDNA High Sensitivity Kit and Qubit Fluorometer), and 400 nanograms of each sample were hybridized to Illumina 1M-Duo DNA Analysis BeadChips.\
\
\
Processing and Analysis
\
\
The genotypes from the 1M-Duo Arrays were ascertained with BeadStudio by using default settings and formatting with the A/B genotype designation for each SNP. Primary QC for each sample was a cut-off at a call rate of 0.95.\
\
\
Copy Number Variation (CNV) analysis was performed with circular binary segmentation (DNAcopy) of the log R ratio values at each probe (Olshen et al., 2004). The parameters used were alpha=0.001, nperm=5000, sd.undo=1. The copy number segments are reported with the mean log R ratio for each chromosomal segment called by CBS. Log ratios of ~-0.2 to -1.5 can be considered heterozygous deletions, < -1.5 homozygous deletions, and > 0.2 amplifications. Primary QC for each sample was SD of < 0.6.\
\
\
Release Notes
\
This is release 2 of this track (Jan 2012). This is a correction release. There are no new experiments. The affected tracks are: \
wgEncodeHaibGenotypeGm12878RegionsRep1 - replaced by wgEncodeHaibGenotypeGm12878RegionsRep1V2 \
due to mapping off the end of the chromosome in the original version. \
wgEncodeHaibGenotypeAstrocyRegionsRep1 - renamed to wgEncodeHaibGenotypeNhaDukeRegionsRep1 \
Astrocytes and NH-A are the same cell line. \
\
In addition to the above changes, color values for the files have been corrected as well. This does not affect any data values.\
\
\
\
\
This is the NCBI Build37 (hg19) release of this track. This release includes the 3 cell types previously released on NCBI Build36 (hg18) which were lifted to NCBI Build37 (hg19) and adds data for many more cell types. The track includes a single display for each cell type and reports the Log ratio in the .bed files. The B-allele frequency and SNP genotyping files are not displayed, but are available for download for the entire dataset from the downloads page.\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column on the track configuration page and the download page. The full data release policy for ENCODE is available here.\
\
This track was produced as part of the ENCODE project. The track reports the\
percentage of DNA molecules that exhibit cytosine methylation at specific CpG\
dinucleotides. In general, DNA methylation within a gene's promoter is associated\
with gene silencing and DNA methylation within the exons and introns of a gene is\
associated with gene expression. Proper regulation of DNA methylation is essential\
during development and aberrant DNA methylation is a hallmark of cancer. DNA\
methylation status was assayed at more than 500,000 CpG dinucleotides in the genome\
using Reduced Representation Bisulfite Sequencing (RRBS). Genomic DNA was digested\
with the methyl-insensitive restriction enzyme MspI and then small genomic DNA fragments\
were purified by gel electrophoresis and used to construct an Illumina sequencing\
library. The library fragments were treated with sodium bisulfite and amplified by\
PCR to convert every unmethylated cytosine to a thymidine while leaving methylated\
cytosines intact. The sequenced fragments were aligned to a customized reference\
genome sequence. For each assayed CpG, the number of sequencing reads covering that\
CpG and the percentage of those reads that were methylated were reported.\
\
\
Display Conventions and Configuration
\
\
\
Methylation status is represented with an 11-color gradient using the following convention:\
\
\
\
red = 100% of molecules sequenced are methylated
\
yellow = 50% of molecules sequenced are methylated
\
green = 0% of molecules sequenced are methylated
\
\
\
\
The score in this track reports the number of sequencing reads obtained for each CpG,\
which is often called 'coverage'. The score is capped at 1000, so any CpGs that were covered\
by more than 1000 sequencing reads have a score of 1000. The BED files available for\
download contain two extra columns: one with the uncapped coverage (number of reads at that\
site) and one with the percentage of those reads that show methylation. High reproducibility\
was obtained, with correlation coefficients greater than 0.9 between biological replicates,\
when only considering CpGs represented by at least 10 sequencing reads (10X coverage, score=10).\
Therefore, the default view for this track is set to 10X coverage, or a score of 10.\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.\
\
\
Methods
\
\
\
DNA methylation at CpG sites was assayed with a modified version of Reduced Representation\
Bisulfite Sequencing (Meissner et al., 2008). RRBS was performed on cell lines\
grown by many ENCODE production groups. The production group that grew the cells and isolated\
genomic DNA is indicated in the "obtainedBy" field of the metadata. When a cell type was\
provided by more than one lab, the data from only one lab are available for immediate display.\
However, the data for every cell type from every lab is available from the\
Downloads page.\
RRBS was also performed on genomic DNA from tissue samples provided by BioChain. The replicates\
for the BioChain tissues are technical replicates (rather than biological replicates) beginning\
at the bisulfite treatment step. RRBS was carried out by the Myers production group at the\
HudsonAlpha Institute for Biotechnology.\
\
\
Isolation of Genomic DNA
\
\
\
Genomic DNA was isolated from biological replicates of each cell line using the QIAGEN DNeasy\
Blood & Tissue Kit according to the instructions provided by the manufacturer. DNA\
concentrations for each genomic DNA preparation were determined using fluorescent DNA binding\
dye and a fluorometer (Invitrogen Quant-iT dsDNA High Sensitivity Kit and Qubit Fluorometer).\
Typically, 1 µg of DNA is used to make an RRBS library; however, there has been success\
in making libraries with 200 ng genomic DNA from rare or precious samples.\
\
\
RRBS Library Construction and Sequencing
\
\
\
RRBS library construction started with MspI digestion of genomic DNA, which cut at every CCGG\
regardless of methylation status. Klenow exo- DNA Polymerase was then used to fill in the recessed\
end of the genomic DNA and add an adenosine as a 3' overhang. Next, a methylated version of\
the Illumina paired-end adapters was ligated onto the DNA. Adapter-ligated genomic DNA fragments\
between 105 and 185 base pairs were selected using agarose gel electrophoresis and a Qiagen Qiaquick\
Gel Extraction Kit. The selected adapter-ligated fragments were treated with sodium bisulfite using\
the Zymo Research EZ DNA Methylation Gold Kit, which converts unmethylated cytosines to uracils and\
leaves methylated cytosines unchanged. Bisulfite treated DNA was amplified in a final PCR reaction\
which was optimized to uniformly amplify diverse fragment sizes and sequence contexts in the same\
reaction. During this final PCR reaction, uracils were copied as thymines resulting in a thymine in the\
PCR products wherever an unmethylated cytosine existed in the genomic DNA. The sample was then ready for\
sequencing on the Illumina sequencing platform. These libraries were sequenced with an Illumina Genome\
Analyzer IIx according to the manufacturer's recommendations. The full RRBS protocol can be found\
here.\
\
\
Data Analysis
\
\
\
To analyze the sequence data, a reference genome was created that contained only the 36 base pairs\
adjacent to every MspI site and in which every C was changed to a T. A converted sequence read file\
was then created by changing each C in the original sequence reads to a T. The converted sequence\
reads were aligned to the converted reference genome and only reads that mapped uniquely to the\
reference genome were kept. Once the reads were aligned, the percent methylation was calculated for\
each CpG using the original sequence reads. The percent methylation and number of reads were reported\
for each CpG.\
\
\
Release Notes
\
\
\
This is Release 3 (July 2012) of this track which adds the MCF-7 cell line with\
shRNA knockdowns\
obtained from the Crawford Lab at Duke University.\
\
Data users may freely use ENCODE data, but may not, without prior consent,\
submit publications that use an unpublished ENCODE dataset until nine months\
following the release of the dataset. This date is listed in the\
Restricted Until column, above. The full data release policy for\
ENCODE is available here.\
This track is produced as part of the ENCODE project. The track displays the methylation status of specific CpG dinucleotides in the given cell types as identified by the Illumina Infinium Human Methylation 450 Bead Array platform. In general, methylation of CpG sites within a promoter causes silencing of the gene associated with that promoter. \
\
The Infinium Human Methylation 450 platform uses bisulfite treated genomic DNA to assay the methylation status of more than 450,000 CpG sites covering all designatable RefSeq genes, including promoter, 5' and 3' regions, without bias against those lacking CpG islands. Additionally, the assay includes CpG islands and shores, CpG sites outside of CpG islands, non-CpG methylated sites identified in human stem cells, differentially methylated sites identified in tumor versus normal (multiple forms of cancer) and across several tissue types, CpG islands outside of coding regions, miRNA promoter regions, and disease-associated regions identified through GWAS.\
\
\
The detailed protocol, information for CpG targets, and beta values are available from the\
supplemental directory. \
\
\
Display Conventions and Configuration
\
\
Scores associated with each site are beta values (see Methods) multiplied by 1000. Methylation\
status is color-coded as:\
\
orange = methylated (score >= 600)
\
purple = partially methylated (200 < score < 600)
\
bright blue = unmethylated (0 < score <= 200)
\
black = NA (score = 0)
\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.\
Genomic DNA was isolated from each cell line with the QIAGEN DNeasy Blood & Tissue Kit according to the instructions provided by the manufacturer. DNA concentrations and a level of quality of each preparation was determined by fluorescence with the Qubit Fluorometer (Invitrogen). Genomic DNA was treated with sodium bisulfite, converting unmethylated cytosines of CpG dinucleotides into uracils; methylated cytosines did not get converted. After bisulfite treatment, the methylation status of a site was assayed by single base-pair extension with a Cy3 or Cy5 labeled nucleotide on oligo-beads specific for the methylated or unmethylated state. \
\
The bisulfite conversion reaction was done using the\
Zymo Research EZ-96 DNA MethylationTM Kit. One step of the protocol was modified. During the incubation, a 30 second 95oC denaturing step every hour was included to increase reaction efficiency as recommended by the Illumina Infinium Human Methylation27 protocol. \
\
\
The bead arrays were run according to the \
protocol provided by Illumina.\
\
\
A beta value was calculated for each CpG target with Illumina's Bead Studio software with the Methylation Module v3.2. Beta-value = intensity value from the methylated bead type/(intensity values from the methylated + intensity value from unmethylated bead types + 100). \
The data was then quality-filtered using p-values. Beta values with p-value greater than 0.01 are considered to fall below the minimum intensity and threshold are displayed as "NA".\
\
\
Any beta value equal to or greater than 0.6 was considered fully methylated. Any beta value equal to or less than 0.2 was considered to be fully unmethylated. Beta values between 0.2 and 0.6 were considered to be partially methylated. \
\
\
Release Notes
\
\
This is Release 1 (Dec 2011) of the 450K bead array data, with data corrections applied\
to the displayed data tables in May 2012. \
A perl script to correct coordinates in the download files has been included in the \
download directory.
\
\
The initial release had incorrect probe mappings. The data providers\
also requested these annotations be limited to the first nucleotide in the probe, \
so the single CpG assayed is displayed instead of the full probe. When the Infinium\
platform was first released, it was thought that methylation states of CpG's within the\
50 bp window could be assigned by assaying a single nucleotide, but it has since been\
determined that methylation states vary even at close distances.\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column on the track configuration page and the download page. The full data release policy for ENCODE is available\
here.
This track was produced as part of the ENCODE Project. RNA-seq is a method for mapping and quantifying the transcriptome of any organism that has a genomic DNA sequence assembly (Mortazavi et al., 2008). Biological replicates of ENCODE cell lines were grown on separate culture plates, total RNA was purified and \
polyA selected two times. The mRNA extract was then fragmented by magnesium-catalyzed hydrolysis and reverse transcribed to cDNA by random priming and amplification. The cDNA was sequenced on an Illumina Genome Analyzer (GAI or GAIIx).
\
\
The DNA sequences were aligned to the NCBI Build37 (hg19) version of the human genome using the sequence alignment programs ELAND (Illumina) or Bowtie (Langmead et al., 2009). The first 10 residues of sequencing have a weak characteristic nucleotide bias of unknown origin. This RNA-seq protocol does not specify the coding strand. As a result, there will be ambiguity at loci where both strands are transcribed.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types (views). For each view, there are multiple subtracks (cell lines, replicates and growth conditions) that display individually on the browser. Instructions for configuring multi-view tracks are here. The following views are in this track: \
\
\
Alignments
\
The Alignments view shows reads mapped to the genome. See the Bowtie Manual\
for more information about the SAM Bowtie output (including tag definitions) and the\
SAM Format Specification for more information on\
the SAM/BAM file format. \
The reads are named using the following convention: \
Lane #:Tile #:X-coordinate:Y-coordinate\
\
\
Raw Signal
\
Density graph of signal enrichment based on a normalized aligned read density (Read Per Million, RPM). RPM is reported in the score field and is equal to the number of reads at that position divided by the total number of reads divided by one million. The Raw Signal view displays dense, continuous data as a graph and the RPM measure assists in visualizing the relative amount of a given transcript across multiple samples.
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
Experimental Procedures
\
\
Cells were grown according to the approved ENCODE cell culture protocols. Cells were lysed in RLT buffer (Qiagen RNEasy kit) and processed on RNEasy midi columns according to the manufacturer's protocol, with the inclusion of the "on-column" DNase digestion step to remove residual genomic DNA. The mRNA was isolated from at least 10 ug of total RNA with oligo(dT) two times (Dynabeads mRNA PurificationgKit, Invitrogen). Alternatively, cells were lysed and mRNA was purified directly two times with oligo(dT) (Dynabeads mRNA DIRECT Kit, Invitrogen). A quantity of 100 ng of mRNA was fragmented by magnesium-catalyzed hydrolysis and reverse transcribed to cDNA by random priming according to the protocol in Mortazavi et al. (2008). The cDNA was prepared for sequencing on the Genome Analyzer flowcell according to the protocol for the ChIPSeq DNA genomic DNA kit (Illumina). The sequencing libraries were size-selected around 225 bp and amplified with 15 rounds of PCR.
\
\
Libraries were sequenced with an Illumina Genome Analyzer I or an Illumina Genome Analyzer IIx according to the manufacturer's recommendations. Single end reads of 36 nt in length were obtained. \
\
\
Data Processing and Analysis
\
\
FastQ files were made from qseq files generated by the Illumina pipeline (Casava 1.7). The Raw Signal files (bigWig) were generated from bedgraph files and the score was calculated as the number of reads at that position divided by the total number of reads divided by one million.
\
\
Casava export files were aligned to the NCBI Build37 (hg19) version of the human genome with ELAND (Illumina), generating SAM files. FastQ files of experiments that were previously aligned to NCBI Build36 (hg18) were aligned to NCBI Build37 (hg19) using Bowtie (Langmead et al., 2009; parameters: -S -n 2 -k 11 -m 10 --best), also generating SAM files. SAM files were converted to BAM files with SAMtools (Li et al., 2009).
\
\
Gene expression within GENCODE V7 (Harrow et al., 2006) gene models was estimated using Cufflinks v0.9.3 (Roberts et al., 2011). Estimates of transcript abundance were reported in Fragments Per Kilobase of exon per Million fragments mapped (FPKM). FPKM is calculated by dividing the total number of fragments that align to the gene model by the size of the spliced transcript (exons) in kilobases. This number is then divided by the total number of reads in millions for the experiment. FPKM is reported in the last column of the GTF (TranscriptGencV7) files.
\
\
Raw Data (fastQ), Raw Signal (bigWig), Alignments (BAM) and Transcript GENCODE V7 (GTF) files are available from the Downloads page.
\
\
Verification
\
\
The mapped data were visually inspected to verify the majority of the reads fell within known exons.
\
Biological replicates confirm expression measurements with r > 0.90.\
\
\
Release Notes
\
\
Update (May 2012): the labels of the Raw Signal subtracks have been updated because they were originally labeled as Signals instead of Raw Signals.
\
This is the first NCBI Build37 (hg19) release of this track (Feb 2012). \
This release includes the 3 datasets (Jurkat, A549/DEX100nm, and A549/EtOH2pct) previously released on NCBI Build36 (hg18) and adds data for several more cell types and growth conditions in replicate. Four types of download files are available for each replicate including the Raw Data (fastQ), Transcript GENCODE V7 (GTF), Raw Signal (bigWig), and Alignments (BAM).
\
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup.\
\
The Sequence Alignment/Map format and SAMtools.\
Bioinformatics. 2009 Aug 15;25(16):2078-9.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
This track displays binding sites of the specified transcription factors in the given cell types as identified by chromatin immunoprecipitation followed by high-throughput sequencing\
(ChIP-seq — see Johnson et al., 2007 and Fields, 2007).\
\
\
\
ChIP-seq was used to assay chromatin fragments bound by specific or general transcription factors as described below.\
DNA enriched by chromatin immunoprecipitation was sequenced and short sequence reads of 25-36 nt were mapped to the human reference genome.\
Enriched regions (peaks) of high sequence read density relative to input chromatin control sequence reads were identified with a peak calling algorithm.\
\
\
\
The sequence reads with quality scores\
(fastq files)\
and alignment coordinates\
(BAM files)\
from these experiments are available for\
download.\
\
\
Display Conventions and Configuration
\
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views).\
For each view, there are multiple subtracks that display individually on the browser.\
Instructions for configuring multi-view tracks are\
here.\
The subtracks in this track are grouped by transcription factor targeted antibody and by cell type.\
For each experiment\
(cell type vs. antibody),\
the following views are included:\
\
\
Peaks
\
\
Sites with the greatest evidence of transcription factor binding,\
calculated using the\
MACS\
peak caller (Zhang et al., 2008),\
as enriched regions of high read density in the ChIP experiment relative to total input chromatin control reads.\
\
Raw Signal
\
\
A continuous signal which indicates density of aligned reads.\
The sequence reads were extended to the size-selected length (225 bp),\
and the read density computed as reads per million.\
\
\
\
\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.\
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Cross-linked chromatin was immunoprecipitated with an antibody,\
the protein-DNA crosslinks were reversed and the DNA fragments were recovered and sequenced.\
Please see protocol notes below and check\
here\
for the most current version of the protocol.\
Biological replicates from each experiment were completed.\
\
\
\
Libraries were sequenced with an Illumina Genome Analyzer I or IIx according to the manufacturer's recommendations.\
Sequence data produced by the Illumina data pipeline software were quality-filtered and then mapped to NCBI GRCh37 (hg19) using the integrated Eland software;\
32 nt of the sequence reads were used for alignment.\
Up to two mismatches were tolerated; reads that mapped to multiple sites in the genome were discarded.\
\
\
\
To identify likely transcription factor occupancy sites,\
peak calling was applied to the aligned sequence data sets using\
MACS\
(Zhang et al., 2008).\
The MACS method models the shift size of ChIP-seq tags empirically,\
and uses the shift to improve the spatial resolution of predicted binding sites.\
The MACS method also uses a dynamic Poisson distribution to capture local biases in the genome,\
allowing for more robust predictions\
(Zhang et al., 2008).\
\
\
Protocol Notes
\
\
\
Several changes and improvements were made to the original ChIP-seq protocol\
(Jonshon et al., 2008).\
The major differences between protocols are the number of cells and magnetic beads used for IP,\
the method of sonication used to fragment DNA,\
the method used for fragment size selection,\
and the number of cycles of PCR used to amplify the sequencing library.\
The protocol field for each file denotes the version of the protocol used as being PCR1x,\
PCR2x or a version number (e.g., v041610.1).\
\
\
\
The sequencing libraries labeled as PCR2x were made with two rounds of amplification\
(25 and 15 cycles)\
and those labeled as PCR1x were made with one 15-cycle round of amplification.\
Experiments that were completed prior to January 2010 were originally aligned to NCBI36 (hg18).\
They have been re-aligned to NCBI GRCh37 (hg19) with the\
Bowtie\
software (Langmead et al., 2009)\
for this data release.\
The libraries labeled with a protocol version number were competed after January 2010\
and were only aligned to NCBI GRCh37 (hg19).\
\
\
\
Please refer to the\
Myers Lab website\
for details on each protocol version and the most current protocol in use.\
\
\
Verification
\
\
\
The\
MACS\
peak caller was used to call significant peaks on the individual replicates of a ChIP-seq experiment.\
Next, the irreproducible discovery rate (IDR) method\
developed by Li et al. (2011),\
was used to quantify the consistency between pairs of ranked peaks lists from replicates.\
The IDR methods uses a model that assumes that the ranked lists of peaks in a pair of replicates consist of two groups:\
a reproducible group and an irreproducible group.\
In general, the signals in the reproducible group are more consistent\
(i.e. with a larger rank correlation coefficient)\
and are ranked higher than the irreproducible group.\
The proportion of peaks that belong to the irreproducible component\
and the correlation of the reproducible component are estimated adaptively from the data.\
The model also provides an IDR score for each peak,\
which reflects the posterior probability of the peak belonging to the irreproducible group.\
The aligned reads were pooled from all replicates\
and the MACS peak caller was used to call significant peaks on the pooled data.\
Only datasets containing at least 100 peaks passing the IDR threshold were considered valid and submitted for release.\
\
\
\
As part of the validation of ChIP-seq antibodies\
and to study the downstream targets of several transcription factors,\
inducible short hairpin RNA (shRNA) cell lines were generated to knock down the expression of these factors.\
K562 cells (non-adherent, human erythromyeloblastoid leukemia cell line; ENCODE Tier 1)\
were transduced with lentiviral vectors carrying an inducible shRNA to a specific transcription factor as described in this\
protocol.\
Expression of shRNA was induced with doxycycline in the growth media.\
Only cell lines that exhibited at least 70% reduction in expression of the targeted transcription factor\
(determined by qPCR) were used.\
The cell lines were designated K562-shX,\
where X is the transcription factor targeted by shRNA and K562 denotes the parent cell line.\
For example, K562-shATF3 cells are K562 cells selected for stable integration of shRNA targeting the ATF3 gene.\
Gene expression in doxycycline-induced and uninduced cells were measured and profiled using RNA-seq.\
The RNA-seq data were submitted to GEO\
(Accession:GSE33816).\
\
\
Release Notes
\
\
\
\
This is Release 3 (Sept 2012). It contains 110 new experiments including 3 new cell lines and 1 new antibodies.
\
The entire HepG2/HEY1 (Accession: wgEncodeEH001502) and K562/HEY1 (Accession: wgEncodeEH001481) datasets have been revoked due to problems with the quality of the antibody.
\
All experiments with the U87 cell line were remapped. Previously, the sex of the cell was unknown and was mapped to the male genome. It was discovered that the cell line is female.
\
Other files from the previous releases also contained errors. They have been corrected with a version number appended to the name (e.g., V2).
\
shRNA validation data have been included in previous releases. The Verification section above provides a more in-depth explanation of the method.
\
Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W et al.\
\
Model-based analysis of ChIP-Seq (MACS).\
Genome Biol. 2008;9(9):R137.\
\
\
Data Release Policy
\
\
\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column, above. The full data release policy for ENCODE is available\
here.
\
This track displays haploinsufficiency predictions for human genes (Huang 2010).\
Human cells have two copies of most genes (one from each parent). If a mutation\
alters one copy, the other is usually still sufficient to maintain gene function.\
For haploinsufficient genes, however, both copies must be functioning for the\
organism to have a normal life. Haploinsufficiency is implicated in a number of\
health disorders. \
\
\
Display Conventions
\
\
Predictions in this track are provided on a per-gene basis and are displayed in blocks\
corresponding to each gene's position in the genome (and labeled with that gene's name).\
The raw prediction scores range from 0 to 1, where 0 is very unlikely to be\
haploinsufficient and 1 is very likely. Because many of the predicted scores fall toward\
the lower end of the spectrum, the authors also grouped those scores by quantile. The\
quantile for each gene is shown as α-upper percentile, which shows the percentage\
of genes with a higher predicted score than this one. A gene with a relatively strong\
prediction of being haploinsufficient will have a quantile close to 0%. A gene with a very low\
comparative prediction of being haploinsufficient will have a quantile close to 100%.\
\
Moving the mouse cursor over any gene will display a pop-up box with the gene name\
and α-upper quantile for the prediction. The genes in this track\
are also color-coded according to quantile:\
\
Magenta shades indicate a higher\
expectation of being haploinsufficient
\
Green shades indicate a lower\
expectation of being haploinsufficient
\
The HapMap Project\
identified a set of approximately four million\
common SNPs, and genotyped these SNPs in four populations in Phase II of the \
project. In Phase III, it genotyped approximately 1.4 to 1.5 million SNPs \
in eleven populations. This track shows the combined data from Phases II and III.\
The intent is that this data can be used as a reference for future studies\
of human disease. This track displays the genotype counts and allele\
frequencies of those SNPs, and (when available) shows orthologous alleles \
from the chimp and macaque reference genome assemblies.\
\
\
The four million HapMap Phase II SNPs were genotyped on individuals \
from these four human populations:\
\
Each of the populations is displayed in a separate subtrack.\
\
\
The HapMap assays provide biallelic results. Over 99.8% of HapMap SNPs are\
described as biallelic in \
dbSNP build 129; \
approximately 6,800 are described as more complex types (in-del, mixed, etc).\
70% of the HapMap SNPs are transitions: 35% are A/G, 35% are C/T.\
\
\
The orthologous alleles in chimp (panTro2) and macaque (rheMac2) \
were derived using \
liftOver.\
\
\
No two HapMap SNPs occupy the same position. Aside from 430 SNPs from the \
pseudoautosomal region of chrX and chrY, no SNP is mapped to more than one \
location in the reference genome. \
No HapMap SNPs occur on "random" chromosomes (concatenations\
of unordered and unoriented contigs).\
\
\
Display Conventions and Configuration
\
\
Note: calculation of heterozygosity has changed since the Phase II (rel22)\
version of this track. \
Observed heterozygosity is calculated as follows: each population's\
heterozygosity is computed as the proportion of heterozygous individuals in \
the population. The population heterozygosities are averaged to determine the \
overall observed heterozygosity. \
[For Phase II genotypes, expected heterozygosity was calculated \
as follows: the allele counts from all populations were summed \
(not normalized for population size)\
and used to determine overall major and minor allele frequencies. \
Assuming Hardy-Weinberg equilibrium, overall expected heterozygosity\
was calculated as two times the product of major and minor allele\
frequencies \
(see Modern Genetic Analysis, section 17-2).]\
\
\
The human SNPs are displayed in gray using a color gradient based on minor allele\
frequency. The higher the minor allele frequency, the darker the display. \
By definition, the maximum minor allele frequency is 50%. \
When zoomed to base level, the major allele is displayed for each population. \
\
\
The orthologous alleles from chimp and macaque are displayed in brown using a color \
gradient based on quality score.\
Quality scores range from 0 to 100 representing low to high quality. For \
orthologous alleles, the higher the quality, the darker the display. Quality \
scores are not available for chimp chromosomes chr21 and chrY; these were set to\
98, consistent with the panTro2 browser quality track.\
\
\
Filters are provided for the data attributes described above. Additionally,\
a filter is provided for observed heterozgosity (average of all populations'\
observed heterozygosities).\
Filters are applied to all subtracks, even if a subtrack is not displayed.\
\
Notes on orthologous allele filters:\
\
If a SNP's major allele is different between populations, no overall major\
allele for human is determined, thus the "matches major human allele"\
and "matches minor human allele" filters for\
orthologous alleles do not apply.
\
If a SNP is monomorphic in all populations, the minor allele is not\
verified in the HapMap dataset. In these cases, the filter to match\
orthologous alleles to the minor human allele will yield no results.
\
Redon R, Ishikawa S, Fitch KR, Feuk L, Perry GH, Andrews TD, Fiegler H, Shapero\
MH, Carson AR, Chen W et al.\
Global variation in copy number in the human genome.\
Nature. 2006 Nov 23;444(7118):444-454.\
\
This track shows the differences between the GRCh37 (hg19) and previous NCBI Build 36 (hg18)\
human genome assemblies, indicating contigs (or portions of contigs) that are new\
to the hg19 assembly.\
\
\
\
The following color/score key is used:\
\
\
\
color
score
change from hg18 to hg19
\
0
New contig added to hg19 to \
update sequence or fill gaps present in hg18
\
500
Different portions of this \
same contig used in the construction of hg19 and hg18 assemblies
\
1000
Updated version of\
an hg18 contig in which sequence errors have been corrected
\
\
\
\
Use the score filter to select which categories to show in the display.\
\
\
Methods
\
\
The contig coordinates were extracted from the AGP files for both assemblies.\
Contigs that matched the same name, same version, and the same specific\
portion of sequence in both assemblies were considered identical between the two\
assemblies and were excluded from this data set. The remaining contigs are shown\
in this track.\
\
\
Credits
\
\
The data and presentation of this track were prepared by\
Hiram Clawson, UCSC Genome\
Browser engineering.\
\
map 1 color 0,0,0\
group map\
itemRgb on\
longLabel Contigs New to GRCh37/(hg19), Not Carried Forward from NCBI Build 36(hg18)\
scoreFilterByRange on\
shortLabel Hg18 Diff\
track hg19ContigDiff\
type bed 9 .\
url https://www.ncbi.nlm.nih.gov/nuccore/$$\
urlLabel Genbank accession:\
visibility hide\
hg38ContigDiff Hg38 Diff bed 9 . Contigs Dropped or Changed from GRCh37(hg19) to GRCh38(hg38) 0 100 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/nuccore/$$
Description
\
\
This track shows the differences between the GRCh37 (hg19) and GRCh38 (hg38) human genome \
assemblies, indicating hg19 contigs (or portions of contigs) that were not carried forward to the \
newer assembly.\
\
\
\
The following color/score key is used:\
\
\
\
item color
item score
type of change from hg19 to hg38
\
0
hg19 contig dropped in\
the construction of the hg38 assembly
\
500
Different portions\
of this same contig used in the construction of hg38 and hg19 assemblies
\
1000
Contig updated in hg38 to \
correct sequence errors present in hg19 version
\
\
\
\
Use the score filter to select which categories to show in the display.\
\
\
Methods
\
\
The contig coordinates were extracted from the AGP files for both assemblies.\
Contigs that matched the same name, same version, and the same specific\
portion of sequence in both assemblies were considered identical between the two\
assemblies and were excluded from this data set. The remaining contigs are shown\
in this track.\
\
\
Credits
\
\
The data and presentation of this track were prepared by\
Hiram Clawson, UCSC Genome\
Browser engineering.\
\
map 1 color 0,0,0\
group map\
itemRgb on\
longLabel Contigs Dropped or Changed from GRCh37(hg19) to GRCh38(hg38)\
scoreFilterByRange on\
shortLabel Hg38 Diff\
track hg38ContigDiff\
type bed 9 .\
url https://www.ncbi.nlm.nih.gov/nuccore/$$\
urlLabel Genbank accession:\
visibility hide\
hgdpGeo HGDP Allele Freq bed 4 + Human Genome Diversity Project SNP Population Allele Frequencies 0 100 0 0 0 127 127 127 0 0 0 http://hgdp.uchicago.edu/cgi-bin/gbrowse/HGDP/?name=$$
\
Samples collected by the HGDP-CEPH from 1,043 individuals from around the\
world were genotyped for 657,000 SNPs at\
Stanford.\
Ancestral states for all SNPs were estimated using whole genome\
human-chimpanzee alignments from the UCSC database.\
For each SNP in the human genome (NCBI Build 35, UCSC database hg17), the \
allele at the corresponding position in the chimp genome (Build 2 version 1,\
UCSC database pantro2) was used as ancestral.\
\
\
Allele frequencies were plotted on a world map using programs included in the\
Generic Mapping Tools.\
\
\
Credits
\
\
Thanks to the HGDP-CEPH, the Pritchard lab at Stanford University, Joe\
Pickrell and John Novembre for sharing the data and plotting scripts \
for this track.\
\
\
\
References
\
\
Cann HM, de Toma C, Cazes L, Legrand MF, Morel V, Piouffre L, Bodmer J, Bodmer WF, Bonne-Tamir B,\
Cambon-Thomsen A et al.\
\
A human genome diversity cell line panel.\
Science. 2002 Apr 12;296(5566):261-2.\
PMID: 11954565\
\
varRep 1 group varRep\
longLabel Human Genome Diversity Project SNP Population Allele Frequencies\
shortLabel HGDP Allele Freq\
track hgdpGeo\
type bed 4 +\
url http://hgdp.uchicago.edu/cgi-bin/gbrowse/HGDP/?name=$$\
urlLabel HGDP Selection Browser:\
visibility hide\
hgmd HGMD public bigBed 9 . Human Gene Mutation Database - Public Version Dec 2023 0 100 0 0 0 127 127 127 0 0 0 http://www.hgmd.cf.ac.uk/ac/gene.php?gene=$P&accession=$p
Description
\
\
\
NOTE: \
HGMD public is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the HGMD public database is\
open to all academic users, users seeking information about a personal medical\
or genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions.
\
DOWNLOADS: \
As requested by Qiagen, this track is not available for download or mirroring but only for limited API queries, see below.\
\
\
\
This track shows the genomic positions of variants in the public version of the\
Human Gene Mutation Database (HGMD). \
UCSC does not host any further information and provides only the coordinates of\
mutations.\
\
\
\
To get details on a mutation (bibliographic reference, phenotype,\
disease, nucleotide change, etc.), follow the "Link to HGMD" at the top\
of the details page. Mouse over to show the type of variant (substitution, insertion,\
deletion, regulatory or splice variant). For deletions, only start coordinates are shown\
as the end coordinates have not been provided by HGMD. Insertions are located between the two\
annotated nucleic acids.\
\
\
\
The HGMD public database is produced at Cardiff University, but is free only\
for academic use. Academic users can register for a free account at the\
HGMD\
User Registration page. Download and commercial use requires a license for the HGMD Professional\
database, which also contains many mutations not yet added to the public version of HGMD public.\
The public version is usually 1-2 years behind the professional version.\
\
\
The HGMD database itself does not come with a mapping to genome coordinates,\
but there is a related product called "GenomeTrax" which includes HGMD in the\
UCSC Custom Track format. Contact Qiagen for more information.
\
\
Batch queries
\
Due to license restrictions, the HGMD data is not available for download or for batch queries in the Table Browser. \
However, it is available for programmatic access via the Global\
Alliance Beacon API, a web service that accepts queries in the form\
(genome, chromosome, position, allele) and returns "true" or "false" depending on whether there\
is information about this allele in the database. For more details see our \
Beacon Server.
\
Subscribers of the HGMD database can also download the full database or use the HGMD API to retrieve full details, please contact Qiagen support\
for further information. Academic or non-profit users may be able to obtain a\
limited version of HGMD public from Qiagen.
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of HGMD variants are labeled with the gene symbol\
and the accession of the mutation, separated by a colon. All other information\
is shown on the respective HGMD variation page, accessible via the\
"Link to HGMD" at the top of the details page.\
\
\
HGMD variants are originally annotated on RefSeq transcripts. You can show\
all and only those transcripts annotated by HGMD by activating the HGMD\
subtrack of the track "NCBI RefSeq".
\
\
Methods
\
\
\
The mappings displayed on this track were obtained from Qiagen\
and reformatted at UCSC as a bigBed file.\
\
\
Credits
\
\
\
Thanks to HGMD, Frank Schacherer and Rupert Yip from Qiagen for making these data available.\
\
phenDis 1 bigDataUrl /gbdb/hg19/bbi/hgmd.bb\
group phenDis\
itemRgb on\
longLabel Human Gene Mutation Database - Public Version Dec 2023\
maxItems 1000\
maxWindowCoverage 10000000\
mouseOverField variantType\
noScoreFilter on\
shortLabel HGMD public\
tableBrowser off hgmd\
track hgmd\
type bigBed 9 .\
url http://www.hgmd.cf.ac.uk/ac/gene.php?gene=$P&accession=$p\
urlLabel Link to HGMD\
visibility hide\
hgnc HGNC bigBed 9 + HUGO Gene Nomenclature 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The HGNC is \
responsible for approving unique symbols and names for human loci, including protein \
coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication.\
\
For each known human gene, the HGNC approves a gene name and symbol (short-form abbreviation).\
All approved symbols are stored in the HGNC database, www.genenames.org, a curated online repository of HGNC-approved gene \
nomenclature, gene groups and associated resources including links to genomic, proteomic, \
and phenotypic information. Each symbol is unique and we ensure that each gene is only \
given one approved gene symbol. It is necessary to provide a unique symbol for each gene \
so that we and others can talk about them, and this also facilitates electronic data \
retrieval from publications and databases. In preference, each symbol maintains \
parallel construction in different members of a gene family and can also be \
used in other species, especially other vertebrates including mouse.\
\
Data Access
\
\
The raw data can be explored interactively with the Table Browser, or the Data Integrator. For computational analysis, genome annotations are stored in\
a bigBigFile file that can be downloaded from the\
download\
server. Regional or genome-wide annotations can be converted from binary data to human readable\
text using our command line utility bigBedToBed which can be compiled from source code or\
downloaded as a precompiled binary for your system. Files and instructions can be found in the\
utilities directory.\
\
The utility can be used to obtain features within a given range, for example:
\
Please refer to our Data Access FAQ\
for more information or our mailing list for archived user questions.
\
\
Credits
\
\
HGNC Database, HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom www.genenames.org.\
\
References
\
\
Tweedie S, Braschi B, Gray KA, Jones TEM, Seal RL, Yates B, Bruford EA. Genenames.org: the HGNC and VGNC resources in 2021. Nucleic Acids Res. PMID: 33152070 PMCID: PMC7779007 DOI: 10.1093/nar/gkaa980\
\
genes 1 bigDataUrl /gbdb/hg19/hgnc/hgnc.bb\
defaultLabelFields symbol\
filterValues.locus_type RNA Y,RNA cluster,RNA long non-coding,RNA micro,RNA misc,RNA ribosomal,RNA small nuclear,RNA small nucleolar,RNA transfer,RNA vault,T cell receptor gene,T cell receptor pseudogene,complex locus constituent,endogenous retrovirus,fragile site,gene with protein product,immunoglobulin gene,immunoglobulin pseudogene,locus_type,protocadherin,pseudogene,readthrough,region,unknown,virus integration site,\
group genes\
itemRgb on\
labelFields symbol, geneName, name, uniprot_ids, ensembl_gene_id, ucsc_id, refseq_accession\
longLabel HUGO Gene Nomenclature\
mouseOver Symbol:$symbol; $name, Alias symbol: $alias_symbol; Previous symbols:$prev_symbol\
noScoreFilter on\
searchIndex name\
searchTrix /gbdb/hg19/hgnc/search.ix\
shortLabel HGNC\
skipEmptyFields on\
track hgnc\
type bigBed 9 +\
hiSeqDepth Hi Seq Depth bed 3 Regions of Exceptionally High Depth of Aligned Short Reads 0 100 139 69 19 197 162 137 0 0 0
Description
\
\
This track displays regions of the reference genome that have exceptionally high\
sequence depth, inferred from alignments of short-read sequences from the\
1000 Genomes Project.\
These regions may be caused by collapsed repetitive sequences\
in the reference genome assembly; they also have high read depth in assays such as\
ChIP-seq, and may trigger false positive calls from peak-calling algorithms.\
Excluding these regions from analysis of short-read alignments should reduce\
such false positive calls.\
\
\
Methods
\
\
Pickrell et al. downloaded sequencing reads for 57 Yoruba individuals\
from the 1000 Genomes Project's low-coverage pilot data, mapped them to the\
Mar. 2006 human genome assembly (NCBI36/hg18), computed the read depth for\
every base in the genome, and compiled a distribution of read depths.\
They then identified contiguous regions where read depth exceeded thresholds\
corresponding to the top 0.001, 0.005, 0.01, 0.05 and 0.1 of the per-base \
read depths, merging regions which fall within 50 bases of each other.\
The regions are available for download from\
http://eqtl.uchicago.edu/Masking/\
(see the\
readme file).\
\
\
Credits
\
\
Thanks to Joseph Pickrell at the University of Chicago for these data.\
\
map 1 altColor 0,0,0\
color 139,69,19\
compositeTrack on\
group map\
longLabel Regions of Exceptionally High Depth of Aligned Short Reads\
shortLabel Hi Seq Depth\
track hiSeqDepth\
type bed 3\
visibility hide\
wgEncodeUwDgfHmfRaw HMF Raw bigWig 1.000000 220489.000000 HMF DNaseI DGF Raw Signal from ENCODE/UW 0 100 0 0 0 127 127 127 0 0 0 regulation 0 longLabel HMF DNaseI DGF Raw Signal from ENCODE/UW\
parent wgEncodeUwDgfViewzRaw off\
shortLabel HMF Raw\
subGroups view=zRaw cellType=t3HMF treatment=aNONE rep=rep1\
track wgEncodeUwDgfHmfRaw\
type bigWig 1.000000 220489.000000\
wgEncodeUwAffyExonArrayHmvecdlyneoSimpleSignalRep2 HMVEC-dLy-Neo 2 broadPeak HMVEC-dLy-Neo Exon array Signal Rep 2 from ENCODE/UW 0 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel HMVEC-dLy-Neo Exon array Signal Rep 2 from ENCODE/UW\
parent wgEncodeUwAffyExonArray off\
shortLabel HMVEC-dLy-Neo 2\
subGroups cellType=t3HMVECDLYNEO rep=rep2 treatment=aNone\
track wgEncodeUwAffyExonArrayHmvecdlyneoSimpleSignalRep2\
type broadPeak\
wgEncodeUwDnaseViewHot Hot Spots bed 3 + DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington 1 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 1:324\
parent wgEncodeUwDnase\
scoreFilter 0\
scoreFilterLimits 0:1000\
shortLabel Hot Spots\
track wgEncodeUwDnaseViewHot\
view Hot\
visibility dense\
hotView Hot Spots bed 4 deCODE recombination map, Female and Male hot spots, >= 10.0 1 100 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 1 longLabel deCODE recombination map, Female and Male hot spots, >= 10.0\
parent decodeRmap\
shortLabel Hot Spots\
track hotView\
type bed 4\
view hot\
visibility dense\
wgEncodeUwDgfViewHotspots Hotspots bed 3 DNaseI Digital Genomic Footprinting from ENCODE/University of Washington 0 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel DNaseI Digital Genomic Footprinting from ENCODE/University of Washington\
maxWindowToDraw 250000000\
minGrayLevel 2\
pValueFilter 0.0\
pValueFilterLimits 1:324\
parent wgEncodeUwDgf\
scoreFilter 100\
scoreFilterLimits 100:1000\
shortLabel Hotspots\
track wgEncodeUwDgfViewHotspots\
view Hotspots\
visibility hide\
wgEncodeUwHistoneViewHot Hotspots bed 3 Histone Modifications by ChIP-seq from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Histone Modifications by ChIP-seq from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 0:324\
parent wgEncodeUwHistone\
shortLabel Hotspots\
track wgEncodeUwHistoneViewHot\
view Hot\
visibility full\
wgEncodeUwTfbsViewHot Hotspots bed 3 CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 0:324\
parent wgEncodeUwTfbs\
shortLabel Hotspots\
track wgEncodeUwTfbsViewHot\
view Hot\
visibility full\
wgEncodeDukeAffyExonHsmmfshdSimpleSignalRep1 HSMM_FSHD 1 bigBed 6 + HSMM_FSHD Exon array Signal Rep 1 from ENCODE/Duke 0 100 0 0 0 127 127 127 1 0 0 expression 1 longLabel HSMM_FSHD Exon array Signal Rep 1 from ENCODE/Duke\
parent wgEncodeDukeAffyExon off\
shortLabel HSMM_FSHD 1\
subGroups cellType=t3HSMMFSHD treatment=zNONE rep=rep1\
track wgEncodeDukeAffyExonHsmmfshdSimpleSignalRep1\
type bigBed 6 +\
wgEncodeHaibMethylRrbsHsmmtDukeSitesRep1 HSMMtube 1 bed 9 + HSMMtube Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha 1 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel HSMMtube Methyl-RRBS Rep 1 from ENCODE/HudsonAlpha\
parent wgEncodeHaibMethylRrbs off\
shortLabel HSMMtube 1\
subGroups cellType=t3HSMMTUBE obtainedBy=DUKE treatment=zNone rep=rep1\
track wgEncodeHaibMethylRrbsHsmmtDukeSitesRep1\
type bed 9 +\
wgEncodeUwHistoneHuvecH3k4me3StdRawRep2 HUVE H3K4M3 Sg 2 bigWig 1.000000 2673.000000 HUVEC H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW 2 100 224 75 0 239 165 127 0 0 0 regulation 0 color 224,75,0\
longLabel HUVEC H3K4me3 Histone Mod ChIP-seq Raw Sig 2 from ENCODE/UW\
origAssembly hg18\
parent wgEncodeUwHistoneViewRawSig off\
shortLabel HUVE H3K4M3 Sg 2\
subGroups view=zRSig factor=H3K04ME3 cellType=t2HUVEC rep=rep2 treatment=zNone\
track wgEncodeUwHistoneHuvecH3k4me3StdRawRep2\
type bigWig 1.000000 2673.000000\
hgIkmc IKMC Genes Mapped bed 12 International Knockout Mouse Consortium Genes Mapped to Human Genome 0 100 0 0 0 127 127 127 0 0 0 http://www.mousephenotype.org/data/genes/$$
Description
\
\
This track shows genes targeted by \
International Knockout Mouse Consortium (IKMC)\
mapped to the human genome. IKMC is a \
collaboration to generate a public resource of mouse embryonic stem (ES)\
cells containing a null mutation in every gene in the mouse genome.\
Gene targets are color-coded by status:\
\
Green: Reagent(s) Available
\
Yellow: In Progress
\
Blue: Not Started/On Hold
\
Black: Withdrawn/Problematic
\
\
\
\
The KnockOut Mouse Project Data\
Coordination Center (KOMP DCC) is the central database resource\
for coordinating mouse gene targeting within IKMC and provides\
web-based query and display tools for IKMC data. In addition, the\
KOMP DCC website provides a tool for the scientific community to\
nominate genes of interest to be knocked out by the KOMP initiative.
\
Using complementary targeting strategies, the IKMC centers\
design and create targeting vectors, mutant ES cell lines and, to some\
extent, mutant mice, embryos or sperm. Materials are distributed to\
the research community.
\
\
The KOMP Repository\
archives, maintains, and distributes IKMC products. Researchers can\
order products and get product information from the\
Repository. Researchers can also express interest in products that are\
still in the pipeline. They will then receive email notification as\
soon as KOMP generated products are available for distribution.
\
\
The process for ordering EUCOMM materials can be found \
here.
\
\
The process for ordering TIGM materials can be found \
here.
\
\
Information on NorCOMM products and services can be found \
here.\
\
International Mouse Knockout Consortium, Collins FS, Rossant J, Wurst W.\
\
A mouse for all reasons.\
Cell. 2007 Jan 12;128(1):9-13.\
PMID: 17218247\
\
genes 1 exonNumbers off\
group genes\
itemRgb on\
longLabel International Knockout Mouse Consortium Genes Mapped to Human Genome\
mgiUrl http://www.informatics.jax.org/marker/$$\
mgiUrlLabel MGI Report:\
noScoreFilter .\
shortLabel IKMC Genes Mapped\
track hgIkmc\
type bed 12\
url http://www.mousephenotype.org/data/genes/$$\
urlLabel KOMP Data Coordination Center:\
visibility hide\
illuminaProbes Illumina WG-6 bed 12 . Alignments of Illumina WG-6 3.0 Probe Set 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays the probes from the Illumina WG-6 3.0 BeadChip.\
The WG-6 BeadChip contains probes for the following set of RNA \
transcripts:\
\
\
Probe source
Number of probes
\
Number of unique probe sources
\
RefSeq NM (well-established coding transcript)
27,454
\
22,435
\
RefSeq XM (provisional coding transcript)
7,870
\
7,518
\
RefSeq NR (well-established non-coding transcript)
446
\
358
\
RefSeq XR (provisional non-coding transcript)
196
\
190
\
UniGene ESTs
12,837
12,837
\
TOTAL
48,803
43,338
\
\
\
\
Display
\
\
The track shows the location of the probes on the genome after the RNAs\
they correspond to were all aligned to the genome using BLAT. Alignment\
scores range from 0 to 1000, where 1000 is a perfect score. In the \
display, darker browns are for higher-scoring alignments. \
\
Click on a probe track item to see detailed information about that probe ID.\
View the base-by-base alignment for that probe by clicking the \
"View Alignment" link on the details page.\
\
\
Methods
\
\
The probe set was collected from the NCBI \
GEO \
(Gene Expression Omnibus), and the\
43,338 RNA sequences were collected from Genbank using NCBI's EUtils interface\
to Entrez. These RNAs were aligned to the genome using BLAT, and 43,224 of them\
aligned well to 46,432 locations on the genome. The single best alignment was\
used, except in 1,789 cases where the RNA mapped equally well to two or more \
locations. The probes were then aligned to their respective RNAs using BLAT,\
and if a good alignment resulted, the probe was then mapped through to the\
genome using the combination of the probe-on-RNA and the RNA-on-genome\
alignments. Of the 48,803 original probes, 40,852 map well\
through this procedure to 44,163 locations on the genome.\
\
expression 1 group expression\
longLabel Alignments of Illumina WG-6 3.0 Probe Set\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
pslTable illuminaProbesAlign\
seqTable illuminaProbesSeq\
shortLabel Illumina WG-6\
track illuminaProbes\
type bed 12 .\
visibility hide\
wgEncodeGisRnaPetImr90NucleusPapClusters IMR9 nucl pA+ bed 6 + IMR90 nucleus polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS 2 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel IMR90 nucleus polyA+ clone-free RNA PET Clusters Pooled from ENCODE/GIS\
parent wgEncodeGisRnaPetViewClusters off\
shortLabel IMR9 nucl pA+\
subGroups view=v1Clusters rep=rep1 rank=none cellType=bIMR90 cloned=Free localization=nucleus rnaExtract=PAP\
track wgEncodeGisRnaPetImr90NucleusPapClusters\
type bed 6 +\
ucscToINSDC INSDC bed 4 Accession at INSDC - International Nucleotide Sequence Database Collaboration 0 100 0 0 0 127 127 127 0 0 0 https://www.ncbi.nlm.nih.gov/nuccore/$$
The data for this track was prepared by\
Hiram Clawson.\
\
map 1 group map\
longLabel Accession at INSDC - International Nucleotide Sequence Database Collaboration\
shortLabel INSDC\
track ucscToINSDC\
type bed 4\
url https://www.ncbi.nlm.nih.gov/nuccore/$$\
urlLabel INSDC link:\
visibility hide\
caddIns Insertions bigBed 9 + CADD 1.6 Score: Insertions - label is length of insertion 1 100 100 130 160 177 192 207 0 0 0
Description
\
\
This track collection shows Combined Annotation Dependent Depletion scores.\
CADD is a tool for scoring the deleteriousness of single nucleotide variants as\
well as insertion/deletion variants in the human genome.
\
\
\
Some mutation annotations\
tend to exploit a single information type (e.g., phastCons or phyloP for\
conservation) and/or are restricted in scope (e.g., to missense changes). Thus,\
a broadly applicable metric that objectively weights and integrates diverse\
information is needed. Combined Annotation Dependent Depletion (CADD) is a\
framework that integrates multiple annotations into one metric by contrasting\
variants that survived natural selection with simulated mutations.\
\
\
\
CADD scores strongly correlate with allelic diversity, pathogenicity of both\
coding and non-coding variants, experimentally measured regulatory effects,\
and also rank causal variants within individual genome sequences with a higher\
value than non-causal variants. \
Finally, CADD scores of complex trait-associated variants from genome-wide\
association studies (GWAS) are significantly higher than matched controls and\
correlate with study sample size, likely reflecting the increased accuracy of\
larger GWAS.\
\
\
\
A CADD score represents a ranking not a prediction, and no threshold is defined\
for a specific purpose. Higher scores are more likely to be deleterious: \
Scores are \
\
10 * -log of the rank
\
\
so that variants with scores above 20 are \
predicted to be among the 1.0% most deleterious possible substitutions in \
the human genome. We recommend thinking carefully about what threshold is \
appropriate for your application.\
\
\
Display Conventions and Configuration
\
\
There are six subtracks of this track: four for single-nucleotide mutations,\
one for each base, showing all possible substitutions, \
one for insertions and one for deletions. All subtracks show the CADD Phred\
score on mouseover. Zooming in shows the exact score on mouseover, same\
basepair = score 0.0.
\
\
PHRED-scaled scores are normalized to all potential ~9 billion SNVs, and\
thereby provide an externally comparable unit for analysis. For example, a\
scaled score of 10 or greater indicates a raw score in the top 10% of all\
possible reference genome SNVs, and a score of 20 or greater indicates a raw\
score in the top 1%, regardless of the details of the annotation set, model\
parameters, etc.\
\
\
The four single-nucleotide mutation tracks have a default viewing range of\
score 10 to 50. As explained in the paragraph above, that results in\
slightly less than 10% of the data displayed. The \
deletion and insertion tracks have a default filter of 10-100, because they\
display discrete items and not graphical data.\
\
\
\
Single nucleotide variants (SNV): For SNVs, at every\
genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing \
the reference allele, e.g., A to A, is always set to zero.\
\
\
When using this track, zoom in until you can see every basepair at the\
top of the display. Otherwise, there are several nucleotides per pixel under \
your mouse cursor and instead of an actual score, the tooltip text will show\
the average score of all nucleotides under the cursor. This is indicated by\
the prefix "~" in the mouseover. Averages of scores are not useful for any\
application of CADD.\
\
\
Insertions and deletions: Scores are also shown on mouseover for a\
set of insertions and deletions. On hg38, the set has been obtained from\
gnomAD3. On hg19, the set of indels has been obtained from various sources\
(gnomAD2, ExAC, 1000 Genomes, ESP). If your insertion or deleletion of interest\
is not in the track, you will need to use CADD's\
online scoring tool\
to obtain them.
\
\
Data access
\
\
CADD scores are freely available for all non-commercial applications from\
the CADD website.\
For commercial applications, see\
the license instructions there.\
\
\
\
The CADD data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig and bigBed\
files that can be downloaded from\
our download server.\
The files for this track are called a.bw, c.bw, g.bw, t.bw, ins.bb and del.bb. Individual\
regions or the whole genome annotation can be obtained using our tools bigWigToWig\
or bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to a given range, e.g.,\
\
bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/a.bw stdout\
\
or\
\
bigBedToBed -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/cadd/ins.bb stdout
\
phenDis 1 bigDataUrl /gbdb/hg19/cadd/ins.bb\
filter.score 10:100\
filterByRange.score on\
filterLabel.score Show only items with PHRED scale score of\
filterLimits.score 0:100\
html caddSuper\
longLabel CADD 1.6 Score: Insertions - label is length of insertion\
mouseOver Mutation: $change CADD Phred score: $phred\
parent caddSuper\
shortLabel Insertions\
track caddIns\
type bigBed 9 +\
visibility dense\
wgEncodeGisChiaPetInteractions Interactions bed 12 Chromatin Interaction Analysis Paired-End Tags (ChIA-PET) from ENCODE/GIS-Ruan 2 100 0 0 0 127 127 127 1 0 0 regulation 1 canPack 1\
longLabel Chromatin Interaction Analysis Paired-End Tags (ChIA-PET) from ENCODE/GIS-Ruan\
parent wgEncodeGisChiaPet\
scoreFilter 200\
scoreFilterLimits 200:1000\
shortLabel Interactions\
track wgEncodeGisChiaPetInteractions\
type bed 12\
useScore 1\
view Interactions\
visibility full\
ghInteraction Interactions bigInteract GeneHancer Regulatory Elements and Gene Interactions 2 100 0 0 0 127 127 127 0 0 0 https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers regulation 1 interactDirectional offsetTarget\
interactMultiRegion on\
longLabel GeneHancer Regulatory Elements and Gene Interactions\
maxHeightPixels 50:100:200\
parent geneHancer\
shortLabel Interactions\
track ghInteraction\
type bigInteract\
url https://www.genecards.org/cgi-bin/carddisp.pl?gene=$&keywords=$&prefilter=enhancers#enhancers\
urlLabel Interaction in GeneCards\
view c_I\
viewUi on\
visibility full\
nestedRepeats Interrupted Rpts bed 12 + Fragments of Interrupted Repeats Joined by RepeatMasker ID 0 100 0 0 0 127 127 127 1 0 0
Description
\
\
\
This track shows joined fragments of interrupted repeats extracted\
from the output of the \
RepeatMasker program which screens DNA sequences\
for interspersed repeats and low complexity DNA sequences using the\
\
Repbase Update library of repeats from the\
Genetic\
Information Research Institute (GIRI). Repbase Update is described in\
Jurka (2000) in the References section below.\
\
\
\
The detailed annotations from RepeatMasker are in the RepeatMasker track. This\
track shows fragments of original repeat insertions which have been interrupted\
by insertions of younger repeats or through local rearrangements. The fragments\
are joined using the ID column of RepeatMasker output.\
\
\
Display Conventions and Configuration
\
\
\
In pack or full mode, each interrupted repeat is displayed as boxes\
(fragments) joined by horizontal lines, labeled with the repeat name.\
If all fragments are on the same strand, arrows are added to the\
horizontal line to indicate the strand. In dense or squish mode, labels\
and arrows are omitted and in dense mode, all items are collapsed to\
fit on a single row.\
\
\
\
Items are shaded according to the average identity score of their\
fragments. Usually, the shade of an item is similar to the shades of\
its fragments unless some fragments are much more diverged than\
others. The score displayed above is the average identity score,\
clipped to a range of 50% - 100% and then mapped to the range\
0 - 1000 for shading in the browser.\
\
\
Methods
\
\
\
UCSC has used the most current versions of the RepeatMasker software\
and repeat libraries available to generate these data. Note that these\
versions may be newer than those that are publicly available on the Internet.\
\
\
\
Data are generated using the RepeatMasker -s flag. Additional flags\
may be used for certain organisms. See the\
FAQ for more information.\
\
\
Credits
\
\
\
Thanks to Arian Smit, Robert Hubley and GIRI for providing the tools and\
repeat libraries used to generate this track.\
\
rep 1 exonNumbers off\
group rep\
longLabel Fragments of Interrupted Repeats Joined by RepeatMasker ID\
shortLabel Interrupted Rpts\
track nestedRepeats\
type bed 12 +\
useScore 1\
visibility hide\
jaspar JASPAR Transcription Factors bigBed 6 . JASPAR Transcription Factor Binding Site Database 0 100 0 0 0 127 127 127 1 0 0 http://jaspar.genereg.net/search?q=$$&collection=all&tax_group=all&tax_id=all&type=all&class=all&family=all&version=all
Description
\
\
This track represents genome-wide predicted binding sites for TF \
(transcription factor) binding profiles in the \
JASPAR \
CORE collection. This open-source database contains a curated, non-redundant \
set of binding profiles derived from published collections of experimentally \
defined transcription factor binding sites for eukaryotes.
\
\
Display Conventions and Configuration
\
\
Shaded boxes represent predicted binding sites for each of the TF profiles\
in the JASPAR CORE collection. The shading of the boxes indicates \
the p-value of the profile's match to that position (scaled between \
0-1000 scores, where 0 corresponds to a p-value of 1 and 1000 to a \
p-value ≤ 10-10). Thus, the darker the shade, the \
lower (better) the p-value.
\
\
\
The default view shows only predicted binding sites with scores of 400 or greater but\
can be adjusted in the track settings. Multi-select filters allow viewing of\
particular transcription factors. At window sizes of greater than\
10,000 base pairs, this track turns to density graph mode. \
Zoom to a smaller region and click into an item to see more detail.
\
The JASPAR 2024 update expanded the JASPAR CORE collection by 20% (329 added and 72 upgraded\
profiles). The new profiles were introduced after manual curation, in which 26 629 TF binding\
motifs were curated and obtained as PFMs or discovered from ChIP-seq/-exo or DAP-seq data. 2500\
profiles from JASPAR 2022 were revised to either promote them to the CORE collection, update the\
associated metadata, or remove them because of validation inconsistencies or poor quality. The\
JASPAR database stores and focuses mostly on PFMs as the model of choice for TF-DNA interactions.\
More information on the methods can be found in the\
\
JASPAR 2024 publication or on the\
JASPAR website.
\
\
\
JASPAR 2022 contains updated transcription factor binding sites\
with additional transcription factor profiles. More information on the methods can be found in the\
\
JASPAR 2022 publication\
JASPAR 2022 publication or on the\
JASPAR website.
\
\
\
JASPAR 2020 scanned DNA sequences with JASPAR CORE TF-binding profiles \
for each taxa independently using PWMScan. TFBS predictions were selected with \
a PWM relative score ≥ 0.8 and a p-value < 0.05. P-values were scaled \
between 0 (corresponding to a p-value of 1) and 1000 (p-value ≤ 10-10) for \
coloring of the genome tracks and to allow for comparison of prediction \
confidence between different profiles.
\
\
\
JASPAR 2018 used the TFBS Perl module (Lenhard and Wasserman 2002) \
and FIMO (Grant, Bailey, and Noble 2011), as distributed within the MEME suite \
(version 4.11.2) (Bailey et al. 2009). For scanning genomes with the \
BioPerl TFBS module, profiles were converted to PWMs and matches were kept with a \
relative score ≥ 0.8. For the FIMO scan, profiles were reformatted to MEME motifs \
and matches with a p-value < 0.05 were kept. TFBS predictions that were not \
consistent between the two methods (TFBS Perl module and FIMO) were removed. The \
remaining TFBS predictions were colored according \
to their FIMO p-value to allow for comparison of prediction confidence between \
different profiles.
\
\
\
Please refer to the JASPAR 2024, 2022, 2020, and 2018 publications for more \
details (citation below).
\
\
Data Access
\
\
JASPAR Transcription Factor Binding data includes billions of items. Limited regions can \
be explored interactively with the \
Table Browser and cross-referenced with \
Data Integrator, although positional\
queries that are too big can lead to timing out. This results in a black page\
or truncated output. In this case, you may try reducing the chromosomal query to\
a smaller window.
\
\
For programmatic access, \
the track can be accessed using the Genome Browser's \
REST API. \
JASPAR annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
The utilities for working with bigBed-formatted binary files can be downloaded\
here.\
Run a utility with no arguments to see a brief description of the utility and its options.\
\
bigBedInfo provides summary statistics about a bigBed file including the number of\
items in the file. With the -as option, the output includes an\
autoSql\
definition of data columns, useful for interpreting the column values.
\
bigBedToBed converts the binary bigBed data to tab-separated text.\
Output can be restricted to a particular region by using the -chrom, -start\
and -end options.
\
\
\
\
Example: retrieve all JASPAR items in chr1:200001-200400
The JASPAR group provides TFBS predictions for many additional species and \
genomes, accessible by connection to their \
\
Public Hub or by clicking the assembly links below:
\
The JASPAR database is a joint effort between several labs \
(please see the latest JASPAR paper, below). \
Binding site predictions and UCSC tracks were computed by the Wasserman Lab. For \
enquiries about the data please contact Oriol Fornes \
(\
oriol@cmmt.\
ubc.ca\
).
\
\
\
Wasserman Lab \
Centre for Molecular Medicine and Therapeutics \
BC Children's Hospital Research Institute \
Department of Medical Genetics \
University of British Columbia \
Vancouver, Canada\
This track shows genome matches to biomedical sequences submitted with patent application\
documents to patent offices around the world. The sequences, their mappings, and selected\
patent information were graciously provided by PatSeq, a search tool part of The Lens,\
Cambia.
\
\
This track contains more data than the NCBI Genbank Division "Patents", as the\
sequences were extracted from patents directly.
\
\
Display Convention and Configuration
\
\
The data is split into two subtracks: one for sequences that are only part of patents that\
have submitted more than 100 sequences ("bulk patents")\
and a second track for all other sequences ("non-bulk patents").
\
\
A sequence can be\
part of many patent documents, with some being found in several thousand patents.\
This track shows only a single alignment for every sequence, colored based on\
its occurrence in the different patent documents and using a color schema similar to The Lens.\
\
\
Based on the first sequence match, the four different item colors follow this priority ranking in\
descending order: \
\
the sequence is referenced in the claims of a granted patent
\
the sequence is disclosed in a granted patent
\
the sequence is referenced in the claims of a patent application
\
the sequence is disclosed in a patent application
\
\
\
\
Sequences referenced in the claims section of a\
patent document define the scope of the invention and are important during\
litigation. Therefore, they are given priority in the color scheme. Patent\
grant documents form the basis of patent protection and are prioritized over\
applications.
\
\
Hover over a feature with the mouse to see\
the total number of documents where the sequence has been referenced, how many\
of these documents are granted patents and how often the sequence has been\
referenced in the claims. A randomly selected document title is also shown in\
the mouseover.
\
\
Clicking on a feature will bring up the details page, which contains information about\
the sequence and alignment of that feature.\
The link at the top of the page opens the PatSeq Analyzer with\
the chromosomal region covered by the feature that was clicked. The PatSeq Analyzer\
is a specialized genome browser that allows for the viewing and filtering of patent\
sequence matches in detail.\
\
\
The next section of the details page is a list of up to ten patent documents that include this\
sequence, with the number of occurrences within each document in parentheses.\
This is followed by up to thirty links to patent documents. The patent documents listed in these\
sections are displayed in order of the number of sequence occurrences in the document. Shown below\
these are the links to the sequence in The Lens, in the format\
"patentDocumentIdentifier-SEQIDNO (docSequenceCount)". The "SEQ ID NO"\
is an integer number, the unique identifier of a patent sequence in a patent\
document. When a protein sequence has been annotated on a nucleotide sequence,\
the "SEQ ID NO" contains the reading frame separated by a ".", e.g.\
"1.1" would indicate the first frame of SEQIDNO 1.\
The total number of sequences submitted with the patent document ("docSequenceCount") is\
shown in parentheses after the SEQIDNO. The links to the sequence are separated into the\
categories "granted and in claims", "granted", "in claims"\
and "applications" (=all others). Sequence identifiers link to the respective pages on PatSeq. A maximum of thirty documents\
are linked from this page per category listed in order of the number of sequence occurrences;\
please use PatSeq Analyzer to view all matching documents.\
\
\
The score of the features in this track is the number of documents where the\
sequence appears in the claims. For example, by setting the score filter to 1, only\
sequences are shown that have been referenced at least once in the claims.\
\
\
Methods
\
\
More than 96 million patent document files were collected by The Lens. The\
ST.25-formatted\
sequences were extracted and mapped to genomes with the aligners BLAT and BWA. The minimal\
identity of the query over the alignment is 95%. Note that for hg19, no patents are shown\
on chrM, as the mitochondrial chromosome used for the mapping was the one from\
the Ensembl genome FASTA files. \
\
Send suggestions on the way data in this track is visualized to our support\
address\
\
genome@soe.ucsc.edu.\
\
Questions on the data itself are best directed to \
support@cambia.org.\
\
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser.\
For automated download and analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from\
our download server.\
The files for this track are called patNonBulk.bb and patBulk.bb. Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
\
\
\
The command to obtain the data as a tab-separated table looks like this: \
\
A full log of the commands that were used to build this annotation is available\
from our database\
build description. In this text file, search for "patNonBulk" to find the right section.\
\
\
phenDis 1 compositeTrack on\
exonNumbers off\
group phenDis\
itemRgb on\
linkIdInName on\
longLabel Lens PatSeq Patent Document Sequences\
mouseOverField mouseOver\
sepFields claimGrantSeqIds\
shortLabel Lens Patents\
skipFields mouseOver,fprint\
track patSeq\
type bigBed 12 +\
url https://www.lens.org/lens/bio/patseqanalyzer#psa/homo_sapiens/latest/chromosome/$s/${-$}?appInClaims=1\
urlLabel Open Lens PatSeq Analyzer with this chromosomal range\
urls intDocIds="http://www.lens.org/lens/patent/$$" claimGrantSeqIds="http://www.lens.org/lens/patent/$$" claimSeqIds="http://www.lens.org/lens/patent/$$" grantSeqIds="http://www.lens.org/lens/patent/$$" appSeqIds="http://www.lens.org/lens/patent/$$"\
visibility hide\
wgEncodeCaltechRnaSeqLhcnm2R2x75Il200Myc7dAlignsRep1 LHCND 2x75 A 1 bam LHCN-M2 Myocyte 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech 0 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel LHCN-M2 Myocyte 200 bp paired read RNA-seq Alignments Rep 1 from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeqViewAligns off\
shortLabel LHCND 2x75 A 1\
subGroups view=Aligns cellType=t2LHCNM2D insertLength=il200 readType=a1R2x75 rep=rep1 treatment=bDIFF7D\
track wgEncodeCaltechRnaSeqLhcnm2R2x75Il200Myc7dAlignsRep1\
type bam\
liftHg38 liftOver & ReMap chain UCSC LiftOver and NCBI ReMap: Genome alignments to convert annotations to hg38 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track shows alignments from the hg19 to the hg38 genome assembly, used by the UCSC\
liftOver tool and \
NCBI's ReMap\
service, respectively.\
\
Display Conventions and Configuration
\
\
The track has three subtracks, one for UCSC and two for NCBI alignments.
\
\
The alignments are shown as "chains" of alignable regions. The display is similar to\
the other chain tracks, see our \
\
chain display documentation for more information.\
\
ReMap 2.2 alignments were downloaded from the \
\
NCBI FTP site and converted with the UCSC kent command line tools. Like all data processing for\
the genome browser, the procedure is documented in our\
\
hg19 makeDoc file.\
\
\
Credits
\
\
Thanks to NCBI for making the ReMap data available and to Angie Hinrichs for the file conversion.\
\
map 1 compositeTrack on\
group map\
longLabel UCSC LiftOver and NCBI ReMap: Genome alignments to convert annotations to hg38\
shortLabel liftOver & ReMap\
track liftHg38\
type chain\
visibility hide\
lincRNAsTranscripts lincRNA Transcripts genePred lincRNA and TUCP transcripts 3 100 100 50 0 175 150 128 0 0 0
Description
\
\
This track displays the Human Body Map lincRNAs (large intergenic non\
coding RNAs) and TUCPs (transcripts of uncertain coding potential), as well as their\
expression levels across 22 human tissues and cell lines. The Human Body Map catalog was generated\
by integrating previously existing annotation sources with transcripts that were de-novo assembled\
from RNA-Seq data. These transcripts were collected from ~4 billion RNA-Seq reads across 24 tissues \
and cell types.
\
\
Expression abundance was estimated by Cufflinks (Trapnell et al., 2010) based on RNA-Seq. \
Expression abundances were estimated on the gene locus level, rather than for each transcript \
separately and are given as raw FPKM. The prefixes tcons_ and tcons_l2_ are used to describe \
lincRNAs and TUCP transcripts, respectively. Specific details about the catalog generation and data \
sets used for this study can be found in Cabili et al (2011). Extended \
characterization of each transcript in the human body map catalog can be found at the Human lincRNA\
Catalog website.
\
\
Expression abundance scores range from 0 to 1000, and are displayed from light blue to dark blue\
respectively:
\
\
\
01000
\
\
Credits
\
\
The body map RNA-Seq data was kindly provided by the Gene Expression\
Applications research group at Illumina.
\
genes 1 altColor 175,150,128\
color 100,50,0\
html lincRNAs\
longLabel lincRNA and TUCP transcripts\
noInherit on\
shortLabel lincRNA Transcripts\
superTrack lincRNAs pack\
track lincRNAsTranscripts\
type genePred\
lincRNAs lincRNAs Human Body Map lincRNAs and TUCP Transcripts 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays the Human Body Map lincRNAs (large intergenic non\
coding RNAs) and TUCPs (transcripts of uncertain coding potential), as well as their\
expression levels across 22 human tissues and cell lines. The Human Body Map catalog was generated\
by integrating previously existing annotation sources with transcripts that were de-novo assembled\
from RNA-Seq data. These transcripts were collected from ~4 billion RNA-Seq reads across 24 tissues \
and cell types.
\
\
Expression abundance was estimated by Cufflinks (Trapnell et al., 2010) based on RNA-Seq. \
Expression abundances were estimated on the gene locus level, rather than for each transcript \
separately and are given as raw FPKM. The prefixes tcons_ and tcons_l2_ are used to describe \
lincRNAs and TUCP transcripts, respectively. Specific details about the catalog generation and data \
sets used for this study can be found in Cabili et al (2011). Extended \
characterization of each transcript in the human body map catalog can be found at the Human lincRNA\
Catalog website.
\
\
Expression abundance scores range from 0 to 1000, and are displayed from light blue to dark blue\
respectively:
\
\
\
01000
\
\
Credits
\
\
The body map RNA-Seq data was kindly provided by the Gene Expression\
Applications research group at Illumina.
NOTE: \
LOVD is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the LOVD database is\
open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions. Further, please be\
sure to visit the LOVD web site for the very latest, as they are continually \
updating data.
\
\
DOWNLOADS: \
LOVD databases are owned by their respective curators\
and are not available for download or mirroring \
by any third party without their permission. Batch queries on this track are only available via the\
UCSC Beacon API (see below). See also the\
LOVD web site\
for a list of database installations and the respective curators.
\
\
\
This track shows the genomic positions of all public entries in public\
installations of the Leiden Open Variation Database system (LOVD) and the effect of the \
variant, if annotated. \
Due to the copyright restrictions of the LOVD databases, UCSC is not allowed to\
host any further information. To get details on a variant (bibliographic\
reference, phenotype, disease, patient, etc.), follow the\
"Link to LOVD" to the central server at Leiden, which will then redirect you\
to the details page on the particular LOVD server reporting this variant.\
\
\
\
Since Apr 2020, similar to the ClinVar track, the data is split into two subtracks, for variants\
with a length of < 50 bp and >= 50 bp, respectively.\
\
\
\
LOVD is a flexible, freely-available tool for gene-centered collection and\
display of DNA variations. It is not a database itself, but rather a platform\
where curators store and analyze data. While the LOVD team and the biggest LOVD\
sites are run at the Leiden University Medical Center, LOVD installations and their\
curators are spread over the whole world. Most LOVD databases report at least \
some of their content back to Leiden to allow global cross-database search, which\
is, among others, exported to this UCSC Genome Browser track every month.\
\
\
A few LOVD databases are entirely missing from this track. Reasons include configuration issues and\
intentionally blocked data search. During the last check in November 2019, the following databases\
did not export any variants:\
\
\
Curators who want to share data in their database so it is present in this track can find more\
details in the LOVD FAQ.\
\
\
Batch queries
\
The LOVD data is not available for download or for batch queries in the Table Browser. \
However, it is available for programmatic access via the Global\
Alliance Beacon API, a web service that accepts queries in the form\
(genome, chromosome, position, allele) and returns "true" or "false" depending\
on whether there is information about this allele in the database. For more details see our \
Beacon Server.
\
\
\
To find all LOVD databases that contain variants of a given gene, you can get a list of databases by\
constructing a url in the format geneSymbol.lovd.nl, for example,\
tp53.lovd.nl. You can\
then use the LOVD API to retrieve more detailed information from a particular database. See the\
LOVD FAQ.
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of LOVD variation entries are labeled with the gene symbol\
and the description of the mutation according to Human Gene Variation Society\
standards. For instance, the label AGRN:c.172G>A means that the cDNA of AGRN is\
mutated from G to A at position 172.\
\
\
\
Since October 2017, the functional effect for variants is shown on the details page, if annotated.\
The possible values are:\
\
notClassified
\
functionAffected
\
notThisDisease
\
notAnyDisease
\
functionProbablyAffected
\
functionProbablyNotAffected
\
functionNotAffected
\
unknown
\
\
LOVD does not use the term "pathogenic", please see the HGVS Terminology page for\
more details.\
\
\
All other information is shown on the respective LOVD variation page, accessible via the\
"Link to LOVD" above.\
\
\
Methods
\
\
\
The mappings displayed in this track were provided by LOVD.\
\
\
Credits
\
\
\
Thanks to the LOVD team, Ivo Fokkema, Peter Taschner, Johan den Dunnen, and all LOVD curators who\
gave permission to show their data.
\
phenDis 1 compositeTrack on\
group phenDis\
html lovdComp\
longLabel LOVD: Leiden Open Variation Database Public Variants\
shortLabel LOVD Variants\
tableBrowser off lovdComp\
track lovdComp\
type bigBed 4 +\
visibility hide\
lrg LRG Regions bigBed 12 + Locus Reference Genomic (LRG) / RefSeqGene Sequences Mapped to Feb. 2009 (GRCh37/hg19) Assembly 0 100 72 167 38 163 211 146 0 0 0 http://ftp.ebi.ac.uk/pub/databases/lrgex/$$.xml
Description
\
\
Locus Reference Genomic (LRG)\
sequences are manually curated, stable DNA sequences that surround a\
locus (typically a gene) and provide an unchanging coordinate system\
for reporting sequence variants. They are not necessarily identical\
to the corresponding sequence in a particular reference genome\
assembly (such as Feb. 2009 (GRCh37/hg19)), but can be mapped to each version of a\
reference genome assembly in order to convert between the stable LRG\
variant coordinates and the various assembly coordinates.\
\
\
\
We import the data from the LRG database at the EBI. \
The NCBI RefSeqGene database is almost identical to LRG, \
but it may contain a few more sequences. See the NCBI documentation.\
\
\
\
Each LRG record also includes at least one stable transcript\
on which variants may be reported. These transcripts\
appear in the LRG Transcripts track in the Gene and Gene Predictions\
track section.
\
\
Methods
\
\
LRG sequences are suggested by the community studying a locus (for example,\
Locus-Specific Database curators, research laboratories, mutation consortia).\
LRG curators then examine the submitted transcript as well as other known\
transcripts at the locus, in the context of alignment and public expression\
data.\
For more information on the selection and annotation process, see the \
LRG FAQ,\
(Dalgleish, et al.) and (MacArthur, et al.).\
\
\
Credits
\
\
This track was produced at UCSC using\
LRG XML files.\
Thanks to\
LRG collaborators\
for making these data available.\
\
This track shows the fixed (unchanging) transcript(s) associated with\
each \
Locus Reference Genomic (LRG) sequence.\
LRG\
sequences are manually curated, stable DNA sequences that surround a\
locus (typically a gene) and provide an unchanging coordinate system\
for reporting sequence variants. They are not necessarily identical\
to the corresponding sequence in a particular reference genome\
assembly (such as Feb. 2009 (GRCh37/hg19)), but can be mapped to each version of a\
reference genome assembly in order to convert between the stable LRG\
variant coordinates and the various assembly coordinates.\
\
\
We import the data from the LRG database at the EBI. \
The NCBI RefSeqGene database is almost identical to LRG, \
but it may contain a few more sequences. See the NCBI documentation.\
\
\
\
The LRG Regions track, in the Mapping and Sequencing Tracks section,\
includes more information about the LRG including the HGNC gene symbol\
for the gene at that locus, source of the LRG sequence, and summary of\
differences between LRG sequence and the genome assembly.\
\
\
Methods
\
\
LRG sequences are suggested by the community studying a locus (for example,\
Locus-Specific Database curators, research laboratories, mutation consortia).\
LRG curators then examine the submitted transcript as well as other known\
transcripts at the locus, in the context of alignment and public expression\
data.\
For more information on the selection and annotation process, see the \
LRG FAQ,\
(Dalgleish, et al.) and (MacArthur, et al.).\
\
This track shows the locations of human contigs on the physical map. \
The underlying data is derived from the GRCh37 AGP file \
that accompanies this assembly. \
The contigs in this track are identical to those in the\
\
GRC Map Contigs track, \
the difference being the the contigs in the GRC Map Contigs \
track are named according to GRC.\
All contigs in this track are oriented to the \
"+" strand.\
\
\
Methods
\
\
For human genome reference sequences dated April 2003 and later,\
the individual chromosome sequencing centers are responsible\
for preparing the assembly of their chromosomes in \
AGP format\
(see also: AGP File Specification).\
The files provided by these centers are checked and validated at NCBI, and\
form the basis for the AGP file that defines the physical \
map contigs.
\
\
For more information on the human genome assembly process, see \
\
NCBI Assembly Primer.
\
map 0 color 150,0,0\
group map\
longLabel Physical Map Contigs\
shortLabel Map Contigs\
track ctgPos\
type ctgPos\
visibility hide\
wgEncodeMapability Mappability bed 3 Mappability or Uniqueness of Reference Genome from ENCODE 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
These tracks display the level of sequence uniqueness of the reference GRCh37/hg19\
genome assembly. They were generated using different window sizes, and high signal\
will be found in areas where the sequence is unique.\
\
Display Conventions and Configuration
\
This track is a multi-view composite track that contains multiple data types\
separated as separate (views). For each view, there are\
multiple subtracks representing different sequence lengths or methods of preparation.\
Instructions for configuring multi-view tracks are\
here.\
Mappability tracks consist of the following views:\
\
Alignability
\
These tracks provide a measure of how often the sequence found at the particular\
location will align within the whole genome. Unlike measures of uniqueness, alignability\
will tolerate up to 2 mismatches. These tracks are in the form of signals ranging from\
0 to 1 and have several configuration options.
\
\
Uniqueness
\
These tracks are a direct measure of sequence uniqueness throughout the reference\
genome. These tracks are in the form of signals ranging from 0 to 1 and have several\
configuration options.
\
\
Blacklisted Regions
\
Both tracks of blacklisted regions attempt to identify regions of the reference\
genome which are troublesome for high throughput sequencing aligners. Troubled\
regions may be due to repetitive elements or other anomalies. Each track contains a\
set of regions of varying length with no special configuration options.
\
\
\
Methods
\
Alignability
\
The CRG Alignability tracks display how uniquely k-mer sequences align\
to a region of the genome. To generate the data, the GEM-mappability\
program has\
been employed. The method is equivalent to mapping sliding windows of k-mers\
(where k has been set to 36, 40, 50, 75 or 100 nts to produce these tracks)\
back to the genome using the GEM mapper aligner (up to 2 mismatches were\
allowed in this case). For each window, a mappability score was computed\
(S = 1/(number of matches found in the genome): S=1 means one match in the\
genome, S=0.5 is two matches in the genome, and so on). The\
CRG Alignability tracks were\
generated independently of the ENCODE project, in the framework of the GEM\
(GEnome Multitool) project.\
\
Uniqueness
\
The Duke Uniqueness tracks display how unique each sequence is on the\
positive strand starting at a particular base and of a particular length.\
Thus, the 20 bp track reflects the uniqueness of all 20 base sequences with\
the score being assigned to the first base of the sequence. Scores are \
normalized to between 0 and 1, with 1 representing a completely unique sequence \
and 0 representing a sequence that occurs more than 4 times in the genome\
(excluding chrN_random and alternative haplotypes). A score of 0.5\
indicates the sequence occurs exactly twice, likewise 0.33 for three times\
and 0.25 for four times. The Duke Uniqueness tracks were generated\
for the ENCODE project as tools in the development of the\
Open Chromatin:\
DNaseI HS,\
FAIRE,\
TFBS and\
Synthesis tracks.\
\
Blacklisted Regions
\
The DAC Blacklisted Regions aim to identify a comprehensive set of\
regions in the human genome that have anomalous, unstructured, high\
signal/read counts in next gen sequencing experiments independent of\
cell line and type of experiment. There were 80 open chromatin tracks\
(DNase and FAIRE datasets) and 20 ChIP-seq input/control tracks spanning\
~60 human tissue types/cell lines in total used to identify these regions\
with signal artifacts. These regions tend to have a very high ratio of\
multi-mapping to unique mapping reads and high variance in mappability.\
Some of these regions overlap pathological repeat elements such as satellite,\
centromeric and telomeric repeats. However, simple mappability based filters\
do not account for most of these regions. Hence, it is recommended to use this\
blacklist alongside mappability filters. The\
DAC Blacklisted Regions track was generated for the ENCODE project.\
\
\
\
The Duke Excluded Regions track displays genomic regions for\
which mapped sequence tags were filtered out before signal generation\
and peak calling for\
Open Chromatin:\
DNaseI HS and\
FAIRE tracks.\
This track contains problematic regions for short sequence tag signal\
detection (such as satellites and rRNA genes). The\
Duke Excluded Regions track was generated for the ENCODE project.\
\
\
Release Notes
\
\
This is Release 3 (October 2011) of this track, which now includes the DAC\
Blacklisted regions, Duke Uniqueness and Duke Excluded regions.\
\
Credits
\
\
The CRG Alignability track was created by Thomas Derrien and Paolo\
Ribeca\
\
in Roderic Guigo's lab at the Centre for Genomic\
Regulation (CRG), Barcelona, Spain. Thomas Derrien was supported by funds from NHGRI\
for the ENCODE project, while Paolo Ribeca was funded by a Consolider grant\
CDS2007-00050 from the Spanish Ministerio de Educación y Ciencia.\
Data users may freely use all data in this track. ENCODE labs that\
contributed annotations have exempted the data displayed here from the\
ENCODE data release policy restrictions.\
map 1 allButtonPair on\
compositeTrack on\
dragAndDrop subTracks\
fileSortOrder grant=PI lab=Lab view=View size=Window_size dccAccession=UCSC_Accession fileSize=Size fileType=File_Type\
group map\
longLabel Mappability or Uniqueness of Reference Genome from ENCODE\
noInherit on\
priority 0\
shortLabel Mappability\
sortOrder view=+ lab=+ win=+\
subGroup1 view Mappability ALN=Broad_Alignability CRGMAP=Alignability DUNIQ=Uniqueness RUNIQ=Rosetta_Uniqueness UUNIQ=UMass_Uniqueness XR=Blacklisted\
subGroup2 win Window_Size w015=15bp w020=20bp w024=24bp w035=35bp w036=36bp w040=40bp w050=50bp w075=75bp w100=100bp zNA=Varied\
subGroup3 lab Lab DAC=DAC DUKE=Duke CRG=CRG-Guigo\
track wgEncodeMapability\
type bed 3\
visibility hide\
mastermind Mastermind Variants bigBed 9 + Genomenon Mastermind Variants extracted from full text publications 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows most variants found in the full text of scientific publications gathered by\
Genomenon Mastermind. Mastermind\
uses a software that searches for disease-gene-variant associations in the \
scientific literature. The genome browser track shows only if a\
variant has been indexed by the search engine.\
\
\
\
To get details on a variant (bibliographic references, disease, etc)\
click it and follow the "Protein change and link to details" at the top\
of the details page. Mouse over an item to show the gene and amino acid change and the \
scores MMCNT1, MMCNT2 and MMCNT3, explained below.\
\
\
\
Genomenon Mastermind Genomic Search Engine is a commercial database of variants\
likely to be mentioned in full text scientific articles. A limited number of\
queries per week is free for healthcare professionals and researchers, if they register on the\
signup\
page page. Advanced features require a license for the\
Mastermind Professional Edition, \
which contains the same content but allows more comprehensive searches.\
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of variants are labeled with the nucleotide change.\
Hover over the features to see the gene, the amino acid change and the scores MMCNT1, MMCNT2 and \
MMCNT3, described below. All other information is shown on the respective Mastermind variant detail\
page, accessible via the "Protein change and link to details" at the top of the details page. The\
features are colored based on their evidence:\
\
\
As suggested by Genomenom, we added a filter on all variants, so the data are not exactly identical \
to their website. We skip \
variants with more than one nucleotide and a MMCNT of 0 and where the variant is not an indel. \
This means that for longer variants, only variants are shown that are explicitly\
mentioned in the papers. This makes the data more specific.\
\
\
\
\
\
\
Color
\
Level of support
\
\
\
\
\
High: at least one paper mentions this exact cDNA change
\
\
\
\
Medium: at least two papers mention a variant that leads to the same amino acid change
\
\
\
\
Low: only a single paper mentions a variant that leads to the same amino acid change
\
\
\
\
\
\
The three numbers that are shown on the mouse-over and the details page have the following meaning (MM=Mastermind):\
\
MMCNT1: cDNA-level exact matches. This is the number of articles that mention the variant at the nucleotide level in either the title/abstract or the full-text.\
MMCNT2: cDNA-level possible matches. This is the number of articles with nucleotide-level matches (from 1) plus articles with protein-level matches in which the publication did not specify the cDNA-level change, meaning they could be referring to this nucleotide-level variant but there is insufficient data in these articles to determine conclusively.\
MMCNT3: This is the number of articles citing any variant resulting in the same biological effect as this variant. This includes the articles from MMCNT1 and MMCNT2 plus articles with alternative cDNA-level variants that result in the same protein effect.\
\
On the track settings page one can filter on these scores under the display mode section by entering\
a minimum number of articles for each kind of evidence.\
\
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser\
or the Data Integrator. The data can be accessed from scripts through our \
API, the track name is "mastermind".\
\
\
For automated download and analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from\
our download server.\
The file for this track is called mastermind.bb. Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool\
can also be used to obtain only features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/bbi/mastermind.bb -chrom=chr21 -start=0 -end=100000000 stdout
The Mastermind Cited Variants file was downloaded,\
converted to BED format with scripts that are available in our \
Git\
repository and converted to a bigBed file with the UCSC genome browser tool\
bedToBigBed.
\
\
This track is automatically updated two weeks after every Mastermind CVR release, which happens every three months.
\
\
\
Credits
\
\
\
Thanks to Mark Kiel, Steve Schwartz and Clayton Wheeler from Genomenon for making these data available.\
\
This track show alignments of human mRNAs from the\
Mammalian Gene Collection\
(MGC) having full-length open reading frames (ORFs) to the genome.\
The goal of the Mammalian Gene Collection is to provide researchers with\
unrestricted access to sequence-validated full-length protein-coding cDNA\
clones for human, mouse, rat, xenopus, and zerbrafish genes.\
\
An optional codon coloring feature is available for quick\
validation and comparison of gene predictions.\
To display codon colors, select the genomic codons option from the\
Color track by codons pull-down menu. For more information\
about this feature, go to the\
\
Coloring Gene Predictions and Annotations by Codon page.\
\
\
Methods
\
\
\
GenBank human MGC mRNAs identified as having full-length ORFs\
were aligned against the genome using blat. When a single mRNA\
aligned in multiple places, the alignment having the highest base identity was\
found. Only alignments having a base identity level within 1% of\
the best and at least 95% base identity with the genomic sequence\
were kept.\
\
\
Credits
\
\
\
The human MGC full-length mRNA track was produced at UCSC from\
mRNA sequence data submitted to\
\
GenBank by the Mammalian Gene Collection project.\
\
These tracks show alignments of human mRNAs from the\
Mammalian Gene Collection\
(MGC) and \
ORFeome Collaboration having full-length open reading frames (ORFs) to the genome.\
The goal of the Mammalian Gene Collection is to provide researchers with\
unrestricted access to sequence-validated full-length protein-coding cDNA\
clones for human, mouse, and rat genes. The ORFeome project extended MGC to\
provide additional human, mouse, and zebrafish clones.\
\
An optional codon coloring feature is available for quick\
validation and comparison of gene predictions.\
To display codon colors, select the genomic codons option from the\
Color track by codons pull-down menu. For more information\
about this feature, go to the\
\
Coloring Gene Predictions and Annotations by Codon page.\
\
\
Methods
\
\
\
GenBank human MGC mRNAs identified as having full-length ORFs\
were aligned against the genome using blat. When a single mRNA\
aligned in multiple places, the alignment having the highest base identity was\
found. Only alignments having a base identity level within 1% of\
the best and at least 95% base identity with the genomic sequence\
were kept.\
\
\
Credits
\
\
\
The human MGC full-length mRNA track was produced at UCSC from\
mRNA sequence data submitted to\
\
GenBank by the Mammalian Gene Collection project.\
\
\
\
Visit the ORFeome Collaboration\
\
members page for a list of credits and references.\
\
genes 0 group genes\
longLabel MGC/ORFeome Full ORF mRNA Clones\
shortLabel MGC/ORFeome Genes\
superTrack on\
track mgcOrfeomeMrna\
visibility hide\
jaxQtlMapped MGI Mouse QTL bed 4 . MGI Mouse Quantitative Trait Loci Coarsely Mapped to Human 0 100 0 0 0 127 127 127 0 0 0 http://www.informatics.jax.org/marker/$$
Description
\
\
This track shows Mouse quantitative trait loci (QTLs) from \
Mouse Genome Informatics (MGI) at the \
Jackson Laboratory \
that have been coarsely mapped by UCSC to the Human genome using \
stringently filtered cross-species alignments. \
A quantitative trait locus (QTL) is a polymorphic locus that contains alleles\
which differentially affect the expression of a continuously distributed \
phenotypic trait. Usually a QTL is a marker described by statistical \
association to quantitative variation in the particular phenotypic trait that\
is thought to be controlled by the cumulative action of alleles at multiple \
loci.
\
\
To map the Mouse QTLs to Human, UCSC's chained and netted blastz\
alignments of Mouse to Human were filtered to retain only those with\
minimum length of 20,000 bases in both Mouse and Human, and minimum \
score of 10,000. This removed many valid-but-short alignments. This\
choice was made because QTLs in general are extremely large and\
approximate regions. After the alignment filtering, UCSC's liftOver\
program was used to map Mouse regions to Human via the filtered\
alignments.
\
\
For the purpose of cross-species mapping, MGI QTLs were divided into\
two categories: QTLs whose genomic coordinates span the entire\
confidence interval (often several million bases), and QTLs for which\
only the STS marker with the peak score was given, resulting in\
genomic coordinates for very small regions (most less than 300 bases).\
QTLs in the latter set were so small as to make mapping impossible in many \
cases, so their coordinates were padded by 50,000 bases before and \
after, for a total size of approximately 100,000 bases, a \
conservative proxy for the unknown confidence interval. The two \
categories of QTL are displayed in subtracks: MGI Mouse QTL for the \
unmodified QTLs and MGI Mouse QTL Padded for the single-marker QTLs \
that were padded to 100,000 bases.\
\
\
To get a sense of how many genomic rearrangments between Mouse and\
Human are in the region of a particular Mouse QTL, you may want to\
view the Human Nets track in the Mouse Feb. 2006 (NCBI36/mm8) genome browser. \
In the position/search box, enter the name of the Mouse QTL of interest.\
\
\
Credits
\
\
Thanks to \
MGI \
at the Jackson Laboratory, \
and Bob Sinclair in particular, for providing these data.
\
\
phenDis 1 compositeTrack on\
group phenDis\
longLabel MGI Mouse Quantitative Trait Loci Coarsely Mapped to Human\
origAssembly hg18\
otherDb mm8\
otherDbTable jaxQtl\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel MGI Mouse QTL\
track jaxQtlMapped\
type bed 4 .\
url http://www.informatics.jax.org/marker/$$\
urlLabel MGI QTL Detail:\
visibility hide\
microsat Microsatellite bed 4 Microsatellites - Di-nucleotide and Tri-nucleotide Repeats 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays regions that are likely to be useful as microsatellite\
markers. These are sequences of at least 15 perfect di-nucleotide and \
tri-nucleotide repeats and tend to be highly polymorphic in the\
population.\
\
\
Methods
\
\
The data shown in this track are a subset of the Simple Repeats track, \
selecting only those \
repeats of period 2 and 3, with 100% identity and no indels and with\
at least 15 copies of the repeat. The Simple Repeats track is\
created using the \
Tandem Repeats Finder. For more information about this \
program, see Benson (1999).
\
\
Credits
\
\
Tandem Repeats Finder was written by \
Gary Benson.
\
rep 1 group rep\
longLabel Microsatellites - Di-nucleotide and Tri-nucleotide Repeats\
shortLabel Microsatellite\
track microsat\
type bed 4\
visibility hide\
gnomADPextMinorSalivaryGland Minor Salivary Gland bigWig 0 1 gnomAD pext Minor Salivary Gland 0 100 153 187 136 204 221 195 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/MinorSalivaryGland.bw\
color 153,187,136\
longLabel gnomAD pext Minor Salivary Gland\
parent gnomadPext off\
shortLabel Minor Salivary Gland\
track gnomADPextMinorSalivaryGland\
visibility hide\
wgEncodeGisRnaSeqViewMinusRawSignal Minus Raw Signal bed 3 RNA-seq from ENCODE/Genome Institute of Singapore 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale on\
longLabel RNA-seq from ENCODE/Genome Institute of Singapore\
maxHeightPixels 100:24:16\
parent wgEncodeGisRnaSeq\
shortLabel Minus Raw Signal\
track wgEncodeGisRnaSeqViewMinusRawSignal\
transformFunc NONE\
view MinusRawSignal\
viewLimits 0:200\
visibility full\
windowingFunction maximum\
wgEncodeCaltechRnaSeqViewMinusSignal Minus Raw Signal bigWig RNA-seq from ENCODE/Caltech 2 100 0 0 0 127 127 127 0 0 0 expression 0 autoScale off\
longLabel RNA-seq from ENCODE/Caltech\
maxHeightPixels 100:24:16\
parent wgEncodeCaltechRnaSeq\
shortLabel Minus Raw Signal\
track wgEncodeCaltechRnaSeqViewMinusSignal\
type bigWig\
view MinusSignal\
viewLimits -15:0\
visibility full\
windowingFunction mean+whiskers\
wgEncodeCshlLongRnaSeqViewMinusSig Minus Signal bed 3 Long RNA-seq from ENCODE/Cold Spring Harbor Lab 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel Long RNA-seq from ENCODE/Cold Spring Harbor Lab\
maxHeightPixels 100:24:16\
maxLimit 3756424\
minLimit 0\
parent wgEncodeCshlLongRnaSeq\
shortLabel Minus Signal\
track wgEncodeCshlLongRnaSeqViewMinusSig\
transformFunc NONE\
view MinusSignal\
viewLimits 1:100\
visibility full\
windowingFunction mean+whiskers\
wgEncodeRikenCageViewMinusSignal Minus Signal bed 3 RNA Subcellular CAGE Localization from ENCODE/RIKEN 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel RNA Subcellular CAGE Localization from ENCODE/RIKEN\
maxHeightPixels 100:24:16\
maxLimit 25183\
maxWindowToDraw 10000000\
minLimit .005\
parent wgEncodeRikenCage\
shortLabel Minus Signal\
track wgEncodeRikenCageViewMinusSignal\
transformFunc NONE\
view MinusRawSignal\
viewLimits 0:5\
visibility full\
windowingFunction mean+whiskers\
wgEncodeGisRnaPetViewMinusRawSig MinusRawSig bed 3 RNA Sub-cellular Localization by Paired-end diTag Sequencing from ENCODE/GIS 2 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel RNA Sub-cellular Localization by Paired-end diTag Sequencing from ENCODE/GIS\
maxHeightPixels 100:24:16\
maxLimit 25183\
minLimit .005\
parent wgEncodeGisRnaPet\
shortLabel MinusRawSig\
track wgEncodeGisRnaPetViewMinusRawSig\
transformFunc NONE\
view v2MinusRawSignal\
viewLimits 0:30\
visibility full\
windowingFunction mean+whiskers\
dhcVcfModern Mod Hum Variants vcfTabix Variant Calls from 11 Modern Human Genome Sequences 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The Modern Human Variants track shows variant calls made from sequence\
reads of eleven individuals mapped to the human genome. The purpose of\
this track is to put the divergence of the Denisova genome into\
perspective with regard to present-day humans.\
\
DNA was also extracted from a Dinka individual from Sudan (DNK02).\
To minimize biases due to instrument variability, the samples were pooled\
for sequencing, using four barcoded libraries per sample.\
The paired-end reads were aligned to the human genome\
using the Burrows-Wheeler Aligner and potential PCR duplicates\
were filtered using\
Picard.\
\
Genotype calls for single nucleotide variants and small insertions and\
deletions were made using the Unified Genotyper from the\
Genome Analysis Toolkit (GATK), with an additional iteration\
using a modified reference genome in order to reduce reference bias\
(Note 6,\
supplementary online materials of Meyer, 2012).\
\
\
Variant Call Format (VCF) files were enhanced by adding information from\
\
Ensembl Compara EPO alignments of 6 primates and of 35 Eutherian mammals,\
phastCons conservation scores generated using EPO alignments,\
1000 Genomes Project\
integrated variant call files,\
University of Washington\
background selection scores,\
ENCODE/Duke Uniqueness of 20mers (see the Mappability track),\
segmental duplications from the Eichler lab (see the Segmental Dups track),\
and\
samtools mpileup summaries of mapped reads.\
\
denisova 1 compositeTrack on\
group denisova\
longLabel Variant Calls from 11 Modern Human Genome Sequences\
maxWindowToDraw 10000000\
shortLabel Mod Hum Variants\
track dhcVcfModern\
type vcfTabix\
visibility hide\
dhcHumDerDenAncAll Modern Derivd All bigBed 4 + Modern Human Derived, Denisova Ancestral 3 100 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Modern Human Derived, Denisova Ancestral\
parent dhcHumDerDenAnc\
shortLabel Modern Derivd All\
track dhcHumDerDenAncAll\
view All\
visibility pack\
dhcHumDerDenAncCcds Modern Derivd CC bigBed 4 + Modern Human Derived, Denisova Ancestral 3 100 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Modern Human Derived, Denisova Ancestral\
parent dhcHumDerDenAnc\
shortLabel Modern Derivd CC\
track dhcHumDerDenAncCcds\
view Ccds\
visibility pack\
dhcHumDerDenAncEns Modern Derivd Ens bigBed 4 + Modern Human Derived, Denisova Ancestral 0 100 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Modern Human Derived, Denisova Ancestral\
parent dhcHumDerDenAnc\
shortLabel Modern Derivd Ens\
track dhcHumDerDenAncEns\
view Ens\
visibility hide\
dhcHumDerDenAncReg Modern Derivd Reg bigBed 4 + Modern Human Derived, Denisova Ancestral 3 100 0 0 0 127 127 127 0 0 0 denisova 1 longLabel Modern Human Derived, Denisova Ancestral\
parent dhcHumDerDenAnc\
shortLabel Modern Derivd Reg\
track dhcHumDerDenAncReg\
view Reg\
visibility pack\
dhcHumDerDenAnc Modern Derived bigBed 4 + Modern Human Derived, Denisova Ancestral 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows mutations in the modern human lineage that rose to\
fixation or near fixation since the split from the last common\
ancestor with Denisovans, along with predicted functional effects from\
Ensembl's\
Variant Effect Predictor (VEP).\
\
Whole genome\
Enredo-Pecan-Ortheus (EPO) alignments of human,\
chimpanzee, gorilla and orangutan were combined with modern human genotypes\
from the 1000 Genomes Project Phase 1 (1000G) to identify sites that\
are fixed (>99.0% frequency in 1000G) or high frequency (>90.0%\
frequency in 1000G) derived in modern humans and ancestral in\
chimpanzee and at least one other great ape (gorilla or orangutan).\
In order to avoid paralogous regions, human and chimpanzee sequences\
were required to appear in only one EPO alignment block.\
Some "fixed" sites are in dbSNP; these were separated out from fixed\
sites not in dbSNP, so three categories of frequency are displayed:\
Fixed, Fixed+dbSNP, and High Frequency.\
\
\
Various quality filters were applied to Denisova genotypes:\
minimum 40 PHRED genotype likelihood from the\
Genome Analysis Toolkit (GATK);\
minimum 30 RMS map quality score;\
coverage at least 14X and at most 66X;\
no sites in positions identified as systematic errors or\
deemed to be of low quality due to conflicting genotype calls in a\
second iteration of GATK (Note 6,\
supplementary online materials of Meyer, 2012).\
\
\
The derived-in-modern-human sites were intersected with the high-confidence-in-Denisova\
sites and annotated using\
VEP to predict effects on protein structure and\
transcriptional regulation.\
\
This track shows gene predictions using the N-SCAN gene structure prediction\
software provided by the Computational Genomics Lab at Washington University \
in St. Louis, MO, USA.\
\
\
Methods
\
\
N-SCAN combines biological-signal modeling in the target genome sequence along\
with information from a multiple-genome alignment to generate de novo gene\
predictions. It extends the TWINSCAN target-informant genome pair to allow for\
an arbitrary number of informant sequences as well as richer models of\
sequence evolution. N-SCAN models the phylogenetic relationships between the\
aligned genome sequences, context-dependent substitution rates, insertions,\
and deletions.\
\
Human N-SCAN Human N-SCAN uses mouse (mm9) as the informant and iterative pseudogene masking.
\
Special thanks for this implementation of N-SCAN to Aaron Tenney in\
the Brent lab, and Robert Zimmermann, currently at Max F. Perutz\
Laboratories in Vienna, Austria.\
\
genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
color 34,139,34\
group genes\
html ../../nscanGene\
informant Human N-SCAN Human N-SCAN uses mouse (mm9) as the informant and iterative pseudogene masking.\
longLabel N-SCAN Gene Predictions\
parent genePredArchive\
shortLabel N-SCAN\
track nscanGene\
type genePred nscanPep\
visibility hide\
neandertalMethylation Neandertal Methyl bed 9 Neandertal Reconstructed DNA Methylation Map 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows the reconstructed DNA methylation map of the Neandertal genome,\
derived from bone tissues.\
\
Display conventions and configuration
\
Green to red scaling is used as a rough indicator of methylation.\
Values range from 0% (green, unmethylated) to 100% (red, methylated).\
Data are displayed for CpG positions across the genome.\
\
Methods
\
Gokhman et al. reconstructed the DNA methylation maps of two archaic humans,\
the Neandertal and the Denisovan, based on the natural deamination of cytosines\
in ancient DNA. With time, cytosines (C's) in post-mortem DNA lose their amine\
group (deamination). However, deamination of methylated vs. unmethylated C's\
results in different products - Methylated C's are deaminated with time to T's,\
whereas unmethylated C's are deaminated to U's.\
The U's are later removed during ancient DNA library preparation and as a result,\
a distinct pattern is observed: methylated regions in the genome display high C-->T\
conversion rate, whereas unmethylated regions display a low C-->T conversion rate.\
These patterns were used to reconstruct the full DNA methylation maps of the archaic humans.\
\
Credits
\
This track was produced at UCSC using data generated by Gokhman et al., 2014.\
\
\
This track shows the alignment of a complete Neandertal mitochondrial\
sequence to a modern human mitochondrial sequence.\
\
\
Note: the mitochondrion used as the genome browser reference sequence\
"chrM" in hg18 and hg19 is\
NC_001807, which has been deprecated. \
Future human genome browsers will use the revised Cambridge Reference\
Sequence (rCRS) NC_012920.\
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for \
PSL alignment \
tracks.\
Mismatching bases are highlighted as described\
here.\
Several types of alignment gap may also be colored; for more information, click \
here.\
\
\
Methods
\
\
DNA was extracted from a 38,000-year-old bone and sequenced using \
methods described in Green, et al.\
The Neandertal mitochondrial sequence \
(NC_011137) was downloaded\
from GenBank and aligned to chrM\
(NC_001807) using BLAT.\
\
The Neandertal Seq track shows Neandertal sequence reads mapped to the human\
genome. The Neandertal sequence was generated from six Neandertal fossils found\
in Croatia, Germany, Spain and Russia.\
\
\
Display Conventions and Configuration
\
\
The sequence reads (query sequences) from each of the six samples are contained\
in separate subtracks. Use the checkboxes to select which samples \
will be displayed in the browser. Click and drag the sample name to\
reorder the subtracks. The order in which the subtracks appear in the subtrack\
list will be the order in which they display in the browser.\
\
The query sequences in the SAM/BAM alignment representation\
are normalized to the + strand of the reference genome\
(see the SAM Format Specification\
for more information on the SAM/BAM file format). If a query sequence was\
originally the reverse of what has been stored and aligned, it will have the\
following\
flag:\
\
(0x10) Read is on '-' strand.\
\
\
\
BAM/SAM alignment representations also have tags. Some tags are predefined and others (those beginning\
with X, Y or Z) are defined by the aligner or data submitter. \
The following tag is associated with this track: \
\
The item labels and display colors of features within this track can be\
configured through the controls at the top of the track description page.\
\
\
Display Read Names: By default, read names are not displayed. To \
display the read names, selected the check box next to "Display read names".\
\
\
Minimum alignment quality: Excludes alignments with quality less than\
the given number. The default is 0.
\
\
Color track by bases: By default, mismatching bases are highlighted\
in the display. Change the selection to "item bases" to see all base\
values from the query sequence, or "OFF" to ignore query sequence.\
Click here for additional \
information.
\
\
Alignment Gap/Insertion Display Options: Click \
here for help with \
these options.\
\
Additional coloring modes: Other aspects of the alignments can be\
displayed in color or grayscale.
\
\
Color by strand: Alignments on the reverse strand are colored \
dark red, alignments on the forward strand are colored dark blue.
\
\
Grayscale: Items are shaded according to the chosen method:\
alignment quality or base qualities. The alignment qualities of individual \
items are shaded on a scale of 0 (lightest) to 99 (darkest).\
Base qualities are shaded on a scale of 0 (lightest) to 40 (darkest).\
Alignment quality is the default.
\
\
\
\
\
\
Methods
\
\
The Neandertal sequence was genereated from six Neandertal fossils. Vi33.16\
(54.1% genome coverage), Vi33.25 (46.6%) and Vi33.26 (45.2%) were discovered in\
the Vindija cave in Croatia. Feld1 (0.1%) is from the Neandertal type specimen\
from the Neander Valley in Germany, Sid1253 (0.1%) is from El Sidron cave in\
Asturias, Spain, and Mez1 (2%) is from Mezmaiskaya in the Altai Mountains,\
Russia.
\
\
To increase the fraction of endogenous Neandertal DNA in the sequencing\
libraries, restriction enzymes were used to deplete libraries of microbial DNA.\
This was done by identifying Neandertal sequencing reads whose best alignment\
was to a primate sequence, and selecting enzymes that would differentially cut\
non-primate fragments. These enzymes all contained CpG dinucleotides in their\
recognition sequences, reflecting the particularly low abundance of this\
dinucleotide in mammalian DNA. Sequencing was carried out on the 454 FLX and\
Titanium platforms and the Illumina GA. Neandertal reads were mapped to the\
human genome (hg19) using a custom mapper called\
ANFO. This custom\
alignment program was developed to take into account the characteristics of \
ancient DNA. Following the observation and implementation by Briggs \
et al., ANFO\
uses different substitution matrices for DNA thought to be double-stranded\
versus single-stranded and changes between them if doing so affords a better\
score.\
\
\
Credits
\
\
This track was produced at UCSC using data generated by\
Ed Green.\
\
Green RE, Krause J, Briggs AW, Maricic T, Stenzel U, Kircher M, Patterson N, Li H, Zhai W, Fritz MH\
et al.\
\
A draft sequence of the Neandertal genome.\
Science. 2010 May 7;328(5979):710-22.\
PMID: 20448178\
\
Model of chromosome organization in interphase, summarizing the main results\
presented in this paper. Large, discrete chromosomal domains are dynamically\
associated (double arrows) with the nuclear lamina, and demarcated by putative\
insulator elements that include CTCF binding sites, promoters that are oriented\
away from the lamina, and CpG islands (Fig. S1, Guelen et al., 2008).\
\
\
\
The architecture of human chromosomes in interphase nuclei is\
still largely unknown. Microscopy studies have indicated that specific\
regions of chromosomes are located in close proximity to the\
nuclear lamina (NL, a dense fibrillar network associated with the inner face \
of the nuclear envelope). \
This has led to the idea that certain genomic elements may be attached to the \
NL, which may contribute to\
the spatial organization of chromosomes inside the nucleus.\
This track represents a high-resolution map of genome-NL interactions in human \
Tig3 lung fibroblasts, \
as determined by the DamID technique. \
\
\
NKI LaminB1 track
\
\
The LaminB1 track shows a high resolution\
map of the interaction sites of the entire genome with\
Lamin B1, (a key NL component) in human fibroblasts.\
This map shows that genome-lamina interactions occur through more than 1,300 \
sharply defined large domains 0.1-10 megabases in size. \
Microscopy evidence indicates that most of these domains are preferentially \
located at nuclear periphery. \
These lamina associated domains (LADs) are characterized by low gene-expression\
levels,\
indicating that LADs represent a repressive chromatin environment. \
The borders of LADs are demarcated by the insulator\
protein CTCF, by promoters that are oriented away from\
LADs, or by CpG islands, suggesting possible mechanisms of\
LAD confinement. \
Taken together, these results demonstrate that\
the human genome is divided into large, discrete domains that are\
units of chromosome organization within the nucleus (see Guelen et al., \
2008).\
\
\
NKI LADs track
\
The LADs track shows Lamina Associated Domains, or LADs, based on a \
genome-wide DamID profile of LaminB1 (above). \
For the definition of LADs, the full-genome lamin B1 DamID data set was\
binarized by setting tiling array probes with positive DamID log ratios to 1 and\
otherwise to 21. Next, a two-step algorithm was used to identify LADs. First,\
sharp transitions were identified with a sliding edge filter, which calculates the\
difference in average binary values in two windows of 99 neighbouring probes\
immediately left and right of a queried probe. The cutoff for this difference was\
chosen such that the number of edges detected in randomly permuted data sets\
was less than 5% of the number of edges detected in the original lamin B1 data\
set. Second, pairs of adjacent 'left' and 'right' edges were identified that together\
enclosed a region of arbitrary size with at least 70% of the enclosed probes\
reporting a positive log2 ratio. A total of 1,344 regions fulfilled these criteria\
and were termed LADs. In 20 randomly permuted data sets, fewer than 13\
domains were identified by the same criteria. Note that there are also\
lamin-B1-positive domains flanked by one or two gradual or irregular transitions.\
Because it is difficult to define the borders of such domains precisely, these \
'fuzzy' domains are not analyzed here. \
(see Guelen et al., 2008).\
\
\
Display Conventions and Configuration
\
\
The LaminB1 wiggle track values range from -6.602 to 5.678 and were \
normalized so have a median of 0 and standard deviation of 1.037. The \
default vertical viewing range for the wiggle track was chosen from -2 \
to 2 because this is roughly +/- 2 standard deviations.\
The DamID technique was applied to generate a high-resolution map of NL \
interactions for the entire human genome. \
DamID is based on targeted adenine methylation of DNA sequences that interact \
in vivo with a protein of interest. \
\
\
DamID was performed with lentiviral transduction as described\
(Guelen et al., 2008). In short, a fusion protein consisting\
of Escherichia coli DNA adenine methyltransferase (Dam) fused to human\
LaminB1 was introduced into cultured Tig3 human lung fibroblasts. \
Dam methylates adenines in the sequence GATC, a mark absent in most eukaryotes. \
Here, the LaminB1-Dam fusion protein incorporates\
in the nuclear lamina, as verified by immunofluorescence\
staining. Hence, the sequences near the nuclear lamina are marked with\
a unique methylation tag. The adenine methylation pattern was detected with \
genomic tiling arrays. \
Unfused Dam was used as a\
reference (http://research.nki.nl/vansteensellab/DamID.htm). The data\
shown are the log2-ratio of LaminB1-Dam fusion protein over Dam-only.\
\
\
Sample labelling and hybridizations were performed by NimbleGen\
Inc., on a set of 8 custom-designed oligonucleotide arrays, with a median\
probe spacing of ~750 bp. All probes recognize unique (non-repetitive) sequences. \
The raw data was log2 transformed and loess\
normalized. Between array median/scale normalization was based on 6979\
probes common to all arrays. Replicate arrays were averaged and the\
full data set normalized to genome-wide median.\
\
\
Verification
\
\
The data are based on two independent biological replicates. \
Fluorescence in situ hybridization microscopy confirmed \
that most of the LaminB1 associated regions are preferentially located at \
the nuclear periphery. \
The array platform, the raw \
and normalized data have been deposited at the NCBI Gene Expression Omnibus \
(GEO) (https://www.ncbi.nlm.nih.gov/geo/) under accession number GSE8854.\
\
\
Credits
\
\
The data for this track were generated by Lars Guelen, Ludo Pagie,\
and Bas van Steensel at the Van Steensel Lab, Netherlands Cancer Institute.\
NumtS (Nuclear mitochondrial sequences) are mitochondrial fragments inserted in nuclear\
genomic sequences. The most credited hypothesis concerning their generation suggests that in presence\
of mutagenic agents, or under stress conditions, fragments of mtDNA escape from mitochondria, reach\
the nucleus and insert into chromosomes during break repair; although NumtS can also derive from\
duplication of genomic fragments. NumtS may be a cause of contamination during human mtDNA sequencing\
and hence frequent false low heteroplasmic evidences have been reported.The Bioinformatics group \
chaired by M.Attimonelli (University of Bari, Italy) \
has produced the RHNumtS (Reference Human NumtS) compilation annotating more than 500 Human NumtS. \
To allow the scientific community to access the compilation and to perform genomics comparative \
analyses inclusive of the NumtS data, the group has designed the Human NumtS tracks described below.\
\
\
The NumtS tracks show nuclear and mitochondrial regions, the former derived from the application\
of the Lift-Over (Galaxy) tool on the High Score Pairs (HSPs) obtained by aligning the mitochondrial\
reference genome (NC_012920) with the hg18 release of the human genome then converted to hg19.
The "NumtS mitochondrial\
sequences" track shows the mapping of the HSPs returned by BlastN on the nuclear genome. The shading\
of the items reflect the similarity returned by BlastN, and the direction of the arrows is\
concordant with the strand of the alignment. For every item, a link pointing to the mitochondrial\
mapping is provided, thus allowing a fast cross among the NumtS genomic contexts.
\
\
\
"NumtS assembled" Track \
\
The "NumtS assembled" track shows items obtained by\
assembling HSPs annotated in the "NumtS" track fulfilling the following conditions:
\
\
\ \
\
\ \ \
The orientation of their alignments must be concordant.
\
\ \ \
The distance between them must be less than 2 kb, on the mitochondrial genome as \
\ \ \ well as on the nuclear genome.
\
\ \
\
\ \ \
\
Exceptions for the second condition arise when a long repetitive element is present between\
\ two HSPs.
\
\
\
"NumtS on mitochondrion" Track \
\
The "NumtS on mitochondrion" track shows the mapping\
of the HSPs on the mitochondrial genome. The shading of the items reflects the similarity returned\
by BlastN, and the direction of the arrows is concordant with the strand of the alignment. For every\
item, a link pointing to the nuclear mapping is provided.
\
\
\
"Human NumtS on mitochondrion SNP" Track \
\
The "Human NumtS SNP" shows the mapping of\
the HSPs on the mitochondrial genome, with the SNPs which fall within, derived from the comparison\
with the hg19 build. No shading is provided here. For every item, a link pointing to the nuclear\
mapping is provided.
\
\
\
Methods
\
\
NumtS mappings were obtained by running Blast2seq (program: BlastN) between\
each chromosome of the Human Genome (hg18 build) and the human mitochondrial reference sequence (rCRS,\
AC: NC_012920), fixing the e-value threshold to 1e-03. Mapping coordinates were converted from hg18\
to the hg19 assemby by using the Lift-Over software part of Galaxy suite. The assembling of the HSPs \
was performed with spreadsheet interpolation and manual inspection. BED format is used for the first\
three annotation tracks, while for the last one the BAM format is implemented.
\
\
Verification
\
\
NumtS predicted in silico were validated by carrying out PCR amplification\
and sequencing on blood-extracted DNA of a healthy individual of European origin. PCR amplification\
was successful for 275 NumtS and provided amplicons of the expected length. All PCR fragments were\
sequenced on both strands, and submitted to the EMBL databank.
\
\
Furthermore, 541 NumtS were\
validated by merging NumtS nuclear coordinates with HapMap annotations. The analysis was\
carried on eight HapMap individuals (NA18517, NA18507, NA18956, NA19240, NA18555, NA12878, NA19129,\
NA12156). For each sample, clones with a single best concordant placement (according to the fosmid\
end-sequence-pair analysis described in Kidd et al., 2008), have been considered. The analysis\
showed that 541 NumtS (at least 30bp for each one) had been sequenced in such samples.
\
\
Credits
\
\
These data were provided by Domenico Simone, Francesco Maria Calabrese and\
Marcella Attimonelli at the Department of Biochemistry and Molecular Biology "Ernesto Quagliariello"\
(University of Bari, Italy). Primer design was carried out by Francesco Calabrese and Giuseppe\
Mineccia. PCR validation was carried out by Martin Lang, Domenico Simone and Giuseppe Gasparre.\
Merging with HapMap annotations was performed by Domenico Simone.
\
\
rep 1 compositeTrack on\
group rep\
html numtSeqHg19\
longLabel Human NumtS mitochondrial sequence\
noInherit on\
shortLabel NumtS Sequence\
track numtSeq\
type bed 3 .\
visibility hide\
knownGeneOld6 Old UCSC Genes genePred Previous Version of UCSC Genes 0 100 82 82 160 168 168 207 0 0 0
Description
\
\
The Old UCSC Genes track shows genes from the previous version of\
the UCSC Genes build. This is similar to the current version but\
without explicitly including Rfam or tRNA sequences.\
\
\
The new release has 82,960 total transcripts, compared with 80,922 in\
the previous version. The total number of canonical genes has\
increased from 31,227 to 31,848. Comparing the new gene set with the\
previous version:\
\
74,657 transcripts did not change between versions.
\
88 transcripts were not carried forward to the new version.
\
5,556 transcripts are "compatible" with those in the previous set,\
meaning that the two transcripts show consistent splicing. In most cases,\
the old and new transcripts differ in the lengths of their UTRs.
\
621 transcripts overlap with those in the previous set but do\
not show consistent splicing, i.e., they contain overlapping introns\
with differing splice sites.\
\
\
\
Read the description\
of how the current version of the UCSC Genes track was built.\
\
\
genes 1 baseColorDefault genomicCodons\
baseColorUseCds given\
color 82,82,160\
group genes\
hgsid on\
longLabel Previous Version of UCSC Genes\
oldToNew kg6ToKg7\
shortLabel Old UCSC Genes\
track knownGeneOld6\
type genePred\
visibility hide\
omimAvSnp OMIM Alleles bed 4 OMIM Allelic Variant Phenotypes 0 100 0 80 0 127 167 127 0 0 0 http://www.omim.org/entry/
Description
\
\
\
NOTE: \
OMIM is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the OMIM database is\
open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions. Further, please be\
sure to click through to omim.org for the very latest, as they are continually \
updating data.
\
\
NOTE ABOUT DOWNLOADS: \
OMIM is the property \
of Johns Hopkins University and is not available for download or mirroring \
by any third party without their permission. Please see \
OMIM\
for downloads.
\
\
\
\
OMIM is a compendium of human genes and genetic phenotypes. The full-text,\
referenced overviews in OMIM contain information on all known Mendelian\
disorders and over 12,000 genes. OMIM is authored and edited at the\
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University\
School of Medicine, under the direction of Dr. Ada Hamosh. This database\
was initiated in the early 1960s by Dr. Victor A. McKusick as a catalog\
of Mendelian traits and disorders, entitled Mendelian Inheritance\
in Man (MIM).\
\
\
\
The OMIM data are separated into three separate tracks:\
\
\
OMIM Alellic Variant Phenotypes (OMIM Alleles)\
Variants in the OMIM database that have associated \
dbSNP identifiers.\
\
OMIM Gene Phenotypes (OMIM Genes)\
The genomic positions of gene entries in the OMIM \
database. The coloring indicates the associated OMIM phenotype map key.\
\
\
OMIM Cytogenetic Loci Phenotypes - Gene Unknown (OMIM Cyto Loci)\
Regions known to be associated with a phenotype, \
but for which no specific gene is known to be causative. This track \
also includes known multi-gene syndromes.\
\
\
\
\
\
\
This track shows the allelic variants in the Online Mendelian Inheritance in Man\
(OMIM) database that have associated\
dbSNP identifiers.\
\
\
Display Conventions and Configuration
\
\
Genomic positions of OMIM allelic variants are marked by solid blocks, which appear\
as tick marks when zoomed out. \
The details page for each variant displays the allelic variant description, the amino\
acid replacement, and the associated\
dbSNP and/or\
ClinVar identifiers with links to the\
variant's details at those resources.\
\
The descriptions of OMIM entries are shown on the main browser display when Full display\
mode is chosen. In Pack mode, the descriptions are shown when mousing over each entry.\
\
\
Methods
\
\
This track was constructed as follows: \
\
The OMIM allelic variant data file mimAV.txt was obtained from OMIM and\
loaded into the MySQL table omimAv.\
The genomic position for each allelic variant in omimAv with an associated\
dbSnp identifier was obtained from the snp151 table. The OMIM AV identifiers and\
their corresponding genomic positions from dbSNP were then loaded into the omimAvSnp\
table.\
\
\
Data Updates
\
This track is automatically updated once a week from OMIM data. The most recent update time is shown\
at the top of the track documentation page.\
\
Data Access
\
\
Because OMIM has only allowed Data queries within individual chromosomes, no download files are\
available from the Genome Browser. Full genome datasets can be downloaded directly from the\
OMIM Downloads page.\
All genome-wide downloads are freely available from OMIM after registration.
\
\
If you need the OMIM data in exactly the format of the UCSC Genome Browser,\
for example if you are running a UCSC Genome Browser local installation (a partial "mirror"),\
please create a user account on omim.org and contact OMIM via\
https://omim.org/contact. Send them your OMIM\
account name and request access to the UCSC Genome Browser 'entitlement'. They will\
then grant you access to a MySQL/MariaDB data dump that contains all UCSC\
Genome Browser OMIM tables.
\
\
UCSC offers queries within chromosomes from\
Table Browser that include a variety\
of filtering options and cross-referencing other datasets using our\
Data Integrator tool.\
UCSC also has an API\
that can be used to retrieve data in JSON format from a particular chromosome range.
\
Thanks to OMIM and NCBI for the use of their data. This track was constructed by Fan Hsu,\
Robert Kuhn, and Brooke Rhead of the UCSC Genome Bioinformatics Group.
\
phenDis 1 color 0, 80, 0\
group phenDis\
hgsid on\
longLabel OMIM Allelic Variant Phenotypes\
noGenomeReason Distribution restrictions by OMIM. See the track documentation for details. You can download the complete OMIM dataset for free from omim.org\
shortLabel OMIM Alleles\
tableBrowser noGenome omimAv omimAvRepl\
track omimAvSnp\
type bed 4\
url http://www.omim.org/entry/\
visibility hide\
omimLocation OMIM Cyto Loci bed 4 OMIM Cytogenetic Loci Phenotypes - Gene Unknown 0 100 0 80 0 127 167 127 0 0 0 http://www.omim.org/entry/
Description
\
\
\
NOTE: \
OMIM is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the OMIM database is\
open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions. Further, please be\
sure to click through to omim.org for the very latest, as they are continually \
updating data.
\
\
NOTE ABOUT DOWNLOADS: \
OMIM is the property \
of Johns Hopkins University and is not available for download or mirroring \
by any third party without their permission. Please see \
OMIM\
for downloads.
\
\
\
\
OMIM is a compendium of human genes and genetic phenotypes. The full-text,\
referenced overviews in OMIM contain information on all known Mendelian\
disorders and over 12,000 genes. OMIM is authored and edited at the\
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University\
School of Medicine, under the direction of Dr. Ada Hamosh. This database\
was initiated in the early 1960s by Dr. Victor A. McKusick as a catalog\
of Mendelian traits and disorders, entitled Mendelian Inheritance\
in Man (MIM).\
\
\
\
The OMIM data are separated into three separate tracks:\
\
\
OMIM Alellic Variant Phenotypes (OMIM Alleles)\
Variants in the OMIM database that have associated \
dbSNP identifiers.\
\
OMIM Gene Phenotypes (OMIM Genes)\
The genomic positions of gene entries in the OMIM \
database. The coloring indicates the associated OMIM phenotype map key.\
\
\
OMIM Cytogenetic Loci Phenotypes - Gene Unknown (OMIM Cyto Loci)\
Regions known to be associated with a phenotype, \
but for which no specific gene is known to be causative. This track \
also includes known multi-gene syndromes.\
\
\
\
\
\
\
This track shows the cytogenetic locations of phenotype entries in the Online Mendelian\
Inheritance in Man (OMIM) database for which\
the gene is unknown.\
\
\
Display Conventions and Configuration
\
\
Cytogenetic locations of OMIM entries are displayed as solid\
blocks. The entries are colored according to the OMIM phenotype map key of associated disorders:\
\
\
Lighter Green for phenotype map key 1 OMIM records\
- the disorder has been placed on the map based on its association with\
a gene, but the underlying defect is not known.\
Light Green for phenotype map key 2 OMIM records\
- the disorder has been placed on the map by linkage; no mutation has\
been found.\
Dark Green for phenotype map key 3 OMIM records\
- the molecular basis for the disorder is known; a mutation has been\
found in the gene.\
Purple for phenotype map key 4 OMIM records\
- a contiguous gene deletion or duplication syndrome; multiple genes\
are deleted or duplicated causing the phenotype.\
\
Gene symbols and disease information, when available, are displayed on the details pages.\
\
The descriptions of OMIM entries are shown on the main browser display when Full display\
mode is chosen. In Pack mode, the descriptions are shown when mousing over each entry. Items\
displayed can be filtered according to phenotype map key on the track controls page.\
\
\
Methods
\
\
This track was constructed as follows: \
\
The data file genemap.txt from OMIM was loaded into the MySQL table\
omimGeneMap.\
Entries in genemap.txt having disorder info were parsed and loaded into the\
omimPhenotype table. The phenotype map keys (the numbers (1)(2)(3)(4) from the\
disorder columns) were placed into a separate field.\
The cytogenetic location data (from the location column in omimGeneMap) were\
parsed and converted into genomic start and end positions based on the cytoBand table.\
These genomic positions, together with the corresponding OMIM IDs, were loaded into the\
omimLocation table.\
All entries with no associated phenotype map key and all OMIM gene entries as reported in the\
"OMIM Genes" track were then excluded from the omimLocation table.\
\
\
Data Access
\
\
Because OMIM has only allowed Data queries within individual chromosomes, no download files are\
available from the Genome Browser. Full genome datasets can be downloaded directly from the\
OMIM Downloads page.\
All genome-wide downloads are freely available from OMIM after registration.
\
\
If you need the OMIM data in exactly the format of the UCSC Genome Browser,\
for example if you are running a UCSC Genome Browser local installation (a partial "mirror"),\
please create a user account on omim.org and contact OMIM via\
https://omim.org/contact. Send them your OMIM\
account name and request access to the UCSC Genome Browser 'entitlement'. They will\
then grant you access to a MySQL/MariaDB data dump that contains all UCSC\
Genome Browser OMIM tables.
\
\
UCSC offers queries within chromosomes from\
Table Browser that include a variety\
of filtering options and cross-referencing other datasets using our\
Data Integrator tool.\
UCSC also has an API\
that can be used to retrieve data in JSON format from a particular chromosome range.
\
Thanks to OMIM and NCBI for the use of their data. This track was constructed by Fan Hsu,\
Robert Kuhn, and Brooke Rhead of the UCSC Genome Bioinformatics Group.
\
phenDis 1 color 0, 80, 0\
group phenDis\
hgsid on\
longLabel OMIM Cytogenetic Loci Phenotypes - Gene Unknown\
noGenomeReason Distribution restrictions by OMIM. See the track documentation for details. You can download the complete OMIM dataset for free from omim.org\
shortLabel OMIM Cyto Loci\
tableBrowser noGenome\
track omimLocation\
type bed 4\
url http://www.omim.org/entry/\
visibility hide\
omimGene2 OMIM Genes bed 4 OMIM Gene Phenotypes - Dark Green Can Be Disease-causing 1 100 0 80 0 127 167 127 0 0 0 http://www.omim.org/entry/
Description
\
\
\
NOTE: \
OMIM is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the OMIM database is\
open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions. Further, please be\
sure to click through to omim.org for the very latest, as they are continually \
updating data.
\
\
NOTE ABOUT DOWNLOADS: \
OMIM is the property \
of Johns Hopkins University and is not available for download or mirroring \
by any third party without their permission. Please see \
OMIM\
for downloads.
\
\
\
\
OMIM is a compendium of human genes and genetic phenotypes. The full-text,\
referenced overviews in OMIM contain information on all known Mendelian\
disorders and over 12,000 genes. OMIM is authored and edited at the\
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University\
School of Medicine, under the direction of Dr. Ada Hamosh. This database\
was initiated in the early 1960s by Dr. Victor A. McKusick as a catalog\
of Mendelian traits and disorders, entitled Mendelian Inheritance\
in Man (MIM).\
\
\
\
The OMIM data are separated into three separate tracks:\
\
\
OMIM Alellic Variant Phenotypes (OMIM Alleles)\
Variants in the OMIM database that have associated \
dbSNP identifiers.\
\
OMIM Gene Phenotypes (OMIM Genes)\
The genomic positions of gene entries in the OMIM \
database. The coloring indicates the associated OMIM phenotype map key.\
\
\
OMIM Cytogenetic Loci Phenotypes - Gene Unknown (OMIM Cyto Loci)\
Regions known to be associated with a phenotype, \
but for which no specific gene is known to be causative. This track \
also includes known multi-gene syndromes.\
\
\
\
\
\
\
This track shows the genomic positions of all gene entries in the Online Mendelian\
Inheritance in Man (OMIM) database.\
\
\
Display Conventions and Configuration
\
\
Genomic locations of OMIM gene entries are displayed as solid blocks. The entries are colored\
according to the associated OMIM phenotype map key (if any):\
\
Lighter Green for phenotype map key 1 OMIM records\
- the disorder has been placed on the map based on its association with\
a gene, but the underlying defect is not known.\
Light Green for phenotype map key 2 OMIM records\
- the disorder has been placed on the map by linkage; no mutation has\
been found.\
Dark Green for phenotype map key 3 OMIM records\
- the molecular basis for the disorder is known; a mutation has been\
found in the gene.\
Purple for phenotype map key 4 OMIM records\
- a contiguous gene deletion or duplication syndrome; multiple genes\
are deleted or duplicated causing the phenotype.\
Light Gray for Others\
- no associated OMIM phenotype map key info available.\
\
Gene symbol, phenotype, and inheritance information, when available, are \
displayed on the details page for an item, and links to related RefSeq Genes and UCSC Genes are \
given. The descriptions of the OMIM entries are shown on the main browser display when mousing over\
each entry.\
\
\
\
\
Mode of Inheritance
\
Abbreviation
\
\
\
Autosomal Dominant
\
AD
\
\
\
Autosomal Recessive
\
AR
\
\
\
Digenic Dominant
\
DD
\
\
\
Digenic Recessive
\
DR
\
\
\
Isolated Cases
\
IC
\
\
\
Mitochondrial
\
Mi
\
\
\
Multifactorial
\
Mu
\
\
\
Pseudoautosomal Dominant
\
PADom
\
\
\
Pseudoautosomal Recessive
\
PARec
\
\
\
Somatic Mosaicism
\
SomMos
\
\
\
Somatic Mutation
\
SMu
\
\
\
X-Linked
\
XL
\
\
\
X-Linked Dominant
\
XLD
\
\
\
X-Linked Recessive
\
XLR
\
\
\
Y-Linked
\
YL
\
\
\
\
\
Brackets, "[ ]", before the phenotype name indicate "nondiseases," mainly genetic variations that\
lead to apparently abnormal laboratory test values (e.g., dysalbuminemic euthyroidal \
hyperthyroxinemia).\
\
\
Braces, "{ }", indicate mutations that contribute to susceptibility to multifactorial disorders\
(e.g., diabetes, asthma) or to susceptibility to infection (e.g., malaria).\
\
\
Question marks, "?", indicate that the relationship between the phenotype and gene is provisional.\
More details about this relationship are provided in the comment field of the map and in the gene\
and phenotype OMIM entries.\
\
\
Methods
\
\
The mappings displayed in this track are based on OMIM gene entries, their Entrez Gene IDs, and\
the corresponding RefSeq Gene locations:\
\
The data file genemap.txt from OMIM was loaded into the MySQL table omimGeneMap.\
The data file mim2gene.txt from OMIM was processed and loaded into the MySQL table omim2gene.\
Entries in genemap.txt having disorder info were parsed and loaded into the \
omimPhenotype table.\
For each OMIM gene in the omim2gene table, the\
Entrez Gene ID was used to get the\
corresponding RefSeq Gene ID via\
the refLink table, and the RefSeq ID was used to get the genomic location from the\
refGene table.* The OMIM gene IDs and corresponding RefSeq Gene locations were loaded into\
the omimGene2 table, the primary table for this track.\
\
\
\
*The locations in the refGene table are from alignments of RefSeq Genes to the reference\
genome using BLAT.\
\
\
Data Updates
\
This track is automatically updated once a week from OMIM data. The most recent update time is shown\
at the top of the track documentation page.\
\
Data Access
\
\
Because OMIM has only allowed Data queries within individual chromosomes, no download files are\
available from the Genome Browser. Full genome datasets can be downloaded directly from the\
OMIM Downloads page.\
All genome-wide downloads are freely available from OMIM after registration.
\
\
If you need the OMIM data in exactly the format of the UCSC Genome Browser,\
for example if you are running a UCSC Genome Browser local installation (a partial "mirror"),\
please create a user account on omim.org and contact OMIM via\
https://omim.org/contact. Send them your OMIM\
account name and request access to the UCSC Genome Browser "entitlement". They will\
then grant you access to a MySQL/MariaDB data dump that contains all UCSC\
Genome Browser OMIM tables.
\
\
UCSC offers queries within chromosomes from \
Table Browser that include a variety\
of filtering options and cross-referencing other datasets using our\
Data Integrator tool. \
UCSC also has an API\
that can be used to retrieve data in JSON format from a particular chromosome range.
Example: Retrieve phenotype, Mode of Inheritance, and other OMIM data within a range
\
\
Go to Table Browser, make sure the right dataset is selected:\
group: Phenotype and Literature, track: OMIM Genes, table: omimGene2.
\
Define region of interest by entering coordinates or a gene symbol into the "Position" textbox, such as\
chr1:11,166,591-11,322,608 or MTOR, or upload a list.
\
Format your data by setting the "Output format" dropdown to "selected fields from primary \
and related Tables" and click . This \
brings up the data field and linked table selection page.
\
Select chrom, chromStart, chromEnd, and name from omimGene2 table. Then select the related tables omim2gene \
and omimPhenotype and click .\
This brings up the fields of the linked tables, where you can select approvedGeneSymbol,\
omimID, description, omimPhenotypeMapKey, and inhMode.
For a quick link to pre-fill these options, click \
\
this session link.\
\
\
Credits
\
\
Thanks to OMIM and NCBI for the use of their data. This track was\
constructed by Fan Hsu, Robert Kuhn, and Brooke Rhead of the UCSC Genome Bioinformatics Group.
\
phenDis 1 color 0, 80, 0\
group phenDis\
hgsid on\
longLabel OMIM Gene Phenotypes - Dark Green Can Be Disease-causing\
noGenomeReason Distribution restrictions by OMIM. See the track documentation for details. You can download the complete OMIM dataset for free from omim.org\
shortLabel OMIM Genes\
tableBrowser noGenome omimGeneMap omimGeneMap2 omimPhenotype omimGeneSymbol omim2gene\
track omimGene2\
type bed 4\
url http://www.omim.org/entry/\
visibility dense\
oreganno ORegAnno bed 4 + Regulatory elements from ORegAnno 0 100 102 102 0 178 178 127 0 0 0
Description
\
\
This track displays literature-curated regulatory regions, transcription\
factor binding sites, and regulatory polymorphisms from\
ORegAnno (Open Regulatory Annotation). For more detailed\
information on a particular regulatory element, follow the link to ORegAnno\
from the details page. \
\
\
\
Display Conventions and Configuration
\
\
The display may be filtered to show only selected region types, such as:
\
\
\
regulatory regions (shown in light blue)
\
regulatory polymorphisms (shown in dark blue)
\
transcription factor binding sites (shown in orange)
\
regulatory haplotypes (shown in red)
\
miRNA binding sites (shown in blue-green)
\
\
\
To exclude a region type, uncheck the appropriate box in the list at the top of \
the Track Settings page.
\
\
Methods
\
\
An ORegAnno record describes an experimentally proven and published regulatory\
region (promoter, enhancer, etc.), transcription factor binding site, or\
regulatory polymorphism. Each annotation must have the following attributes:\
\
A stable ORegAnno identifier.\
A valid taxonomy ID from the NCBI taxonomy database.\
A valid PubMed reference. \
A target gene that is either user-defined, in Entrez Gene or in EnsEMBL.\
A sequence with at least 40 flanking bases (preferably more) to allow the\
site to be mapped to any release of an associated genome.\
At least one piece of specific experimental evidence, including the\
biological technique used to discover the regulatory sequence. (Currently\
only the evidence subtypes are supplied with the UCSC track.)\
A positive, neutral or negative outcome based on the experimental results\
from the primary reference. (Only records with a positive outcome are currently\
included in the UCSC track.)\
\
The following attributes are optionally included:\
\
A transcription factor that is either user-defined, in Entrez Gene\
or in EnsEMBL.\
A specific cell type for each piece of experimental evidence, using the\
eVOC cell type ontology.\
A specific dataset identifier (e.g. the REDfly dataset) that allows\
external curators to manage particular annotation sets using ORegAnno's\
curation tools.\
A "search space" sequence that specifies the region that was\
assayed, not just the regulatory sequence. \
A dbSNP identifier and type of variant (germline, somatic or artificial)\
for regulatory polymorphisms.\
\
Mapping to genome coordinates is performed periodically to current genome\
builds by BLAST sequence alignment. \
The information provided in this track represents an abbreviated summary of the \
details for each ORegAnno record. Please visit the official ORegAnno entry\
(by clicking on the ORegAnno link on the details page of a specific regulatory\
element) for complete details such as evidence descriptions, comments,\
validation score history, etc.\
\
\
Credits
\
\
ORegAnno core team and principal contacts: Stephen Montgomery, Obi Griffith, \
and Steven Jones from Canada's Michael Smith Genome Sciences Centre, Vancouver, \
British Columbia, Canada.
\
\
The ORegAnno community (please see individual citations for various\
features): ORegAnno Citation.\
\
\
\
regulation 1 color 102,102,0\
group regulation\
longLabel Regulatory elements from ORegAnno\
shortLabel ORegAnno\
track oreganno\
type bed 4 +\
visibility hide\
orfeomeMrna ORFeome Clones psl ORFeome Collaboration Gene Clones 3 100 34 139 34 144 197 144 0 0 0
Description
\
\
\
This track show alignments of human clones from the\
\
ORFeome Collaboration. The goal of the project is to be an\
"unrestricted source of fully sequence-validated full-ORF human cDNA\
clones in a format allowing easy transfer of the ORF sequences into\
virtually any type of expression vector. A major goal is to provide\
at least one fully-sequenced full-ORF clone for each human, mouse, and zebrafish gene.\
This track is updated automatically as new clones become available.\
\
ORFeome human clones were obtained from GenBank and aligned against the\
genome using the blat program. When a single clone aligned in multiple\
places, the alignment having the highest base identity was found. Only alignments\
having a base identity level within 0.5% of the best and at least 96% base\
identity with the genomic sequence were kept.\
\
\
Credits and References
\
\
\
Visit the ORFeome Collaboration\
\
members page for a list of credits and references.\
\
NOTE:\
These data are for research purposes only. While the Orphadata data is open to the public, \
users seeking information about a personal medical or genetic condition are urged to consult with \
a qualified physician for diagnosis and for answers to personal medical questions.
\
\
UCSC presents these data for use by qualified professionals, and even such professionals \
should use caution in interpreting the significance of information found here. No single data point\
should be taken at face value and such data should always be used in conjunction with as much \
corroborating data as possible. No treatment protocols should be developed or patient advice given \
on the basis of these data without careful consideration of all possible sources of information.
\
\
No attempt to identify individual patients should be undertaken. No one is authorized to \
attempt to identify patients by any means.
\
\
\
\
\
The Orphadata: Aggregated data from Orphanet (Orphanet) track shows genomic positions \
of genes and their association to human disorders, related epidemiological data, and phenotypic\
annotations. As a consortium of 40 countries throughout the world, \
Orphanet\
gathers and improves knowledge regarding rare diseases and maintains the Orphanet rare disease \
nomenclature (ORPHAcode), essential in improving the visibility of rare diseases in health and\
research information systems. The data is updated monthly by Orphanet and updated monthly \
on the UCSC Genome Browser.\
\
\
Display Conventions
\
Mouseover on items shows the gene name, disorder name, modes of inheritance(s) (if available), \
and age(s) of onset (if available). Tracks can be filtered according to gene-disorder association \
types, modes of inheritance, and ages of onset. Clicking an item from the browser will return \
the complete entry, including gene linkouts to Ensembl, OMIM, and HGNC, as well as phenotype information \
using HPO (human phenotype ontology) terms.\
\
For more information on the use of this data, see \
the Orphadata FAQs.
Orphadata files were reformatted at UCSC to the \
bigBed format.
\
\
Credits
\
Thank you to the Orphanet and Orphadata team and to Tiana Pereira, Christopher Lee, \
Daniel Schmelter, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 1 bedNameLabel OrphaCode\
bigDataUrl /gbdb/hg19/bbi/orphanet/orphadata.bb\
filterValues.assnType Biomarker tested in,Candidate gene tested in,Disease-causing germline mutation(s) (gain of function) in,Disease-causing germline mutation(s) (loss of function) in,Disease-causing germline mutation(s) in,Disease-causing somatic mutation(s) in,Major susceptibility factor in,Modifying germline mutation in,Part of a fusion gene in,Role in the phenotype of\
filterValues.inheritance Autosomal dominant,Autosomal recessive,Mitochondrial inheritance,Multigenic/multifactorial,No data available,Not applicable,Oligogenic,Semi-dominant,Unknown,X-linked dominant,X-linked recessive,Y-linked\
filterValues.onsetList Adolescent,Adult,All ages,Antenatal,Childhood,Elderly,Infancy,Neonatal,No data available\
group phenDis\
itemRgb on\
longLabel Orphadata: Aggregated Data From Orphanet\
mouseOver Gene: $geneSymbol, Disorder: $disorder, Inheritance(s): $inheritance, Onset: $onsetList\
shortLabel Orphanet\
skipEmptyFields on\
skipFields name,score,itemRgb\
track orphadata\
type bigBed 9 +\
url http://www.orpha.net/consor/cgi-bin/OC_Exp.php?lng=en&Expert=$$\
urlLabel OrphaNet Phenotype Link:\
urls ensemblID="https://grch37.ensembl.org/Homo_sapiens/Gene/Summary?db=core;g=$$" pmid="https://pubmed.ncbi.nlm.nih.gov/$$" orphaCode="http://www.orpha.net/consor/cgi-bin/OC_Exp.php?lng=en&Expert=$$" omim="https://www.omim.org/entry/$$?search=$$&highlight=$$" hgnc="https://www.genenames.org/data/gene-symbol-report/#!/hgnc_id/HGNC:$$"\
xenoRefGene Other RefSeq genePred xenoRefPep xenoRefMrna Non-Human RefSeq Genes 0 100 12 12 120 133 133 187 0 0 0
Description
\
\
This track shows known protein-coding and non-protein-coding genes \
for organisms other than human, taken from the NCBI RNA reference \
sequences collection (RefSeq). The data underlying this track are \
updated weekly.
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for \
gene prediction \
tracks.\
The color shading indicates the level of review the RefSeq record has \
undergone: predicted (light), provisional (medium), reviewed (dark).
\
\
The item labels and display colors of features within this track can be\
configured through the controls at the top of the track description page. \
\
Label: By default, items are labeled by gene name. Click the \
appropriate Label option to display the accession name instead of the gene\
name, show both the gene and accession names, or turn off the label \
completely.\
Codon coloring: This track contains an optional codon coloring \
feature that allows users to quickly validate and compare gene predictions.\
To display codon colors, select the genomic codons option from the\
Color track by codons pull-down menu. For more information about\
this feature, go to the\
\
Coloring Gene Predictions and Annotations by Codon page.\
Hide non-coding genes: By default, both the protein-coding and\
non-protein-coding genes are displayed. If you wish to see only the coding\
genes, click this box.\
\
\
Methods
\
\
The RNAs were aligned against the human genome using blat; those\
with an alignment of less than 15% were discarded. When a single RNA aligned \
in multiple places, the alignment having the highest base identity was \
identified. Only alignments having a base identity level within 0.5% of \
the best and at least 25% base identity with the genomic sequence were kept.\
\
\
Credits
\
\
This track was produced at UCSC from RNA sequence data\
generated by scientists worldwide and curated by the \
NCBI RefSeq project.
\
The\
Genomics England PanelApp\
tracks show gene panels that are related to human disorders. Originally developed to\
aid interpretation of participant genomes in the\
100,000 Genomes Project, PanelApp is now also being used as the platform for\
achieving consensus on gene panels in the\
\
NHS Genomic Medicine Service (GMS).\
As panels in PanelApp are publicly available, they can also be used by other groups\
and projects. Panels are maintained and updated by\
Genomics England curators.\
\
Genes and genomic\
entities (short tandem repeats/STRs and copy number variants/CNVs)\
have been reviewed by experts to enable a community consensus to be reached on which\
genes and genomic entities should appear on a diagnostics grade panel for each disorder.\
A rating system (confidence level 0 - 3) is used to classify the level of evidence\
supporting association with phenotypes covered by the gene panel in question.\
\
\
The available data tracks are: \
\
\
\
\
Genomics England PanelApp Genes (PanelApp Genes):\
\
shows genes with evidence supporting a gene-disease relationship.\
NOTE: Due to a bug in the PanelApp gene API, between \
5 and 20% of gene entries are missing as of 11/2/22.
\
\
\
\
Genomics England PanelApp STRs (PanelApp STRs):\
\
shows short tandem repeats that can be disease-causing when a particular number of repeats is\
present.
\
\
\
Only on hg38: Genomics England PanelApp Regions (PanelApp CNV Regions):\
\
shows copy-number variants (region-loss and region-gain) with evidence supporting a gene-disease\
relationship.
\
\
\
Display Conventions
\
\
The individual tracks are colored by confidence level:\
\
\
Score 3 (lime green) - High level of evidence \
for this gene-disease association. Demonstrates confidence that this gene should be \
used for genome interpretation.
\
Score 2 (amber) - Moderate evidence \
for this gene-disease association. This gene should not be used for genomic \
interpretation.
\
Score 0 or 1 (red) - Not enough evidence \
for this gene-disease association. This gene should not be used for \
genomic interpretation.
\
\
\
Mouseover on items shows the gene name, panel associated, mode of inheritance \
(if known), phenotypes related to the gene, and confidence level. Tracks can \
be filtered according to the confidence \
level of disease association evidence. For more information on \
the use of this data, see the PanelApp\
FAQs.\
\
\
Data Access
\
\
The raw data can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated analysis, the data may be queried from our\
REST API.\
\
\
For automated download and analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from\
our download server.\
The files for this track are called genes.bb, tandRep.bb and cnv.bb. Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool\
can also be used to obtain only features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/panelApp/genes.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
Data is also freely available on the\
PanelApp API.\
\
\
Updates and archiving of old releases
\
\
This track is updated automatically every week. If you need to access older releases of the data,\
you can download them from our archive directory on the download server. To load them into the browser, select a week on the archive directory, copy the link to a file, go to My Data > Custom Tracks, click "Add custom track", paste the link into the box and click "Submit".\
\
\
Methods
\
\
PanelApp files were reformatted at UCSC to the bigBed format. The script that updates the track is called \
updatePanelApp and can be found in our Github repository.\
\
\
Credits
\
\
Thank you to Genomics England PanelApp, especially Catherine Snow for technical\
coordination and consultation. Thank you to Beagan Nguy, Christopher Lee, Daniel Schmelter,\
Ana Benet-Pagès and Maximilian Haeussler of the Genome Browser team for the creation of the tracks.\
\
phenDis 1 compositeTrack on\
group phenDis\
longLabel Genomics England PanelApp Diagnostics\
shortLabel PanelApp\
track panelApp\
type bigBed 9 +\
visibility hide\
wgEncodeHaibTfbsViewPeaks Peaks bed 3 Transcription Factor Binding Sites by ChIP-seq from ENCODE/HAIB 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor Binding Sites by ChIP-seq from ENCODE/HAIB\
minGrayLevel 3\
minScore 0\
parent wgEncodeHaibTfbs\
scoreFilter 0\
scoreFilterLimits 0:1000\
shortLabel Peaks\
track wgEncodeHaibTfbsViewPeaks\
view Peaks\
visibility pack\
wgEncodeSydhTfbsViewPeaks Peaks bed 3 Transcription Factor Binding Sites by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor Binding Sites by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard\
pValueFilter 0\
pValueFilterLimits 0:300\
parent wgEncodeSydhTfbs\
qValueFilter 0\
qValueFilterLimits 0:300\
shortLabel Peaks\
signalFilter 0\
signalFilterLimits 0:18241\
track wgEncodeSydhTfbsViewPeaks\
view Peaks\
visibility pack\
wgEncodeUwRepliSeqViewPeaks Peaks bed 3 Replication Timing by Repli-seq from ENCODE/University of Washington 0 100 0 0 0 127 127 127 1 0 0 regulation 1 itemRgb on\
longLabel Replication Timing by Repli-seq from ENCODE/University of Washington\
parent wgEncodeUwRepliSeq\
shortLabel Peaks\
track wgEncodeUwRepliSeqViewPeaks\
useScore 1\
view v2Peaks\
visibility hide\
wgEncodeUwDnaseViewaPeaks Peaks bed 3 + DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington 1 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 1:324\
parent wgEncodeUwDnase\
scoreFilter 0\
scoreFilterLimits 0:1000\
shortLabel Peaks\
track wgEncodeUwDnaseViewaPeaks\
view Peaks\
visibility dense\
wgEncodeUchicagoTfbsPeaks Peaks bed 3 Transcription Factor Binding Sites by Epitope-Tag from ENCODE/UChicago 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor Binding Sites by Epitope-Tag from ENCODE/UChicago\
pValueFilter 5\
pValueFilterLimits 0:300\
parent wgEncodeUchicagoTfbs\
qValueFilter 0\
qValueFilterLimits 0:300\
shortLabel Peaks\
signalFilter 0\
signalFilterLimits 0:18241\
track wgEncodeUchicagoTfbsPeaks\
view Peaks\
visibility pack\
wgEncodeUwDgfViewPeaks Peaks bed 3 DNaseI Digital Genomic Footprinting from ENCODE/University of Washington 0 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel DNaseI Digital Genomic Footprinting from ENCODE/University of Washington\
maxWindowToDraw 250000000\
minGrayLevel 3\
pValueFilter 0.0\
pValueFilterLimits 1:324\
parent wgEncodeUwDgf\
scoreFilter 100\
scoreFilterLimits 100:1000\
shortLabel Peaks\
track wgEncodeUwDgfViewPeaks\
view Peaks\
visibility hide\
wgEncodeSunyRipSeqViewPeaks Peaks bed 9 RIP-seq from ENCODE/SUNY Albany 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel RIP-seq from ENCODE/SUNY Albany\
parent wgEncodeSunyRipSeq\
scoreFilter 0\
scoreFilterLimits 0:1000\
scoreMin 0\
shortLabel Peaks\
track wgEncodeSunyRipSeqViewPeaks\
type bed 9\
view Peaks\
visibility full\
wgEncodeUwHistoneViewPeaks Peaks bed 3 Histone Modifications by ChIP-seq from ENCODE/University of Washington 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Histone Modifications by ChIP-seq from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 0:324\
parent wgEncodeUwHistone\
shortLabel Peaks\
track wgEncodeUwHistoneViewPeaks\
view Peaks\
visibility pack\
wgEncodeOpenChromFaireViewPeaks Peaks bed 3 Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill) 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill)\
pValueFilter 0.0\
pValueFilterLimits 0:16\
parent wgEncodeOpenChromFaire\
scoreFilter 100\
scoreFilterLimits 100:1000\
scoreMin 600\
shortLabel Peaks\
track wgEncodeOpenChromFaireViewPeaks\
view Peaks\
visibility pack\
wgEncodeUwTfbsViewPeaks Peaks bed 3 CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington\
pValueFilter 0.0\
pValueFilterLimits 0:324\
parent wgEncodeUwTfbs\
shortLabel Peaks\
track wgEncodeUwTfbsViewPeaks\
view Peaks\
visibility pack\
wgEncodeBroadHistoneViewPeaks Peaks bed 3 Histone Modifications by ChIP-seq from ENCODE/Broad Institute 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Histone Modifications by ChIP-seq from ENCODE/Broad Institute\
minGrayLevel 3\
pValueFilter 0.0\
pValueFilterLimits 0:100\
parent wgEncodeBroadHistone\
scoreFilter 0\
scoreFilterLimits 0:1000\
scoreMin 250\
shortLabel Peaks\
signalFilter 1.0\
signalFilterLimits 0.0:10000.0\
track wgEncodeBroadHistoneViewPeaks\
view Peaks\
visibility pack\
wgEncodeOpenChromChipViewPeaks Peaks bed 3 Open Chromatin TFBS by ChIP-seq from ENCODE/Open Chrom(UT Austin) 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Open Chromatin TFBS by ChIP-seq from ENCODE/Open Chrom(UT Austin)\
pValueFilter 0.0\
pValueFilterLimits 0:16\
parent wgEncodeOpenChromChip\
scoreFilter 100\
scoreFilterLimits 100:1000\
scoreMin 600\
shortLabel Peaks\
track wgEncodeOpenChromChipViewPeaks\
view Peaks\
visibility pack\
wgEncodeSydhHistoneViewPeaks Peaks bed 3 Histone Modifications by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard 3 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Histone Modifications by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard\
pValueFilter 0\
pValueFilterLimits 0:300\
parent wgEncodeSydhHistone\
qValueFilter 0\
qValueFilterLimits 0:300\
shortLabel Peaks\
signalFilter 0\
signalFilterLimits 0:18241\
track wgEncodeSydhHistoneViewPeaks\
view Peaks\
visibility pack\
wgEncodeUncBsuProtGencViewpepMapGcFt pepMapping Gc bed 3 Proteogenomics Hg19 and GENCODE Mapping from ENCODE/Univ. North Carolina/Boise State Univ. 2 100 0 0 0 127 127 127 1 0 0 expression 1 longLabel Proteogenomics Hg19 and GENCODE Mapping from ENCODE/Univ. North Carolina/Boise State Univ.\
parent wgEncodeUncBsuProtGenc\
scoreFilterLimits 0:1000\
shortLabel pepMapping Gc\
track wgEncodeUncBsuProtGencViewpepMapGcFt\
useScore 1\
view pepMapGcFt\
visibility full\
peptideAtlas2014 PeptideAtlas bed 12 Peptide sequences identified from MS spectra of 971 samples by PeptideAtlas 0 100 100 82 160 177 168 207 1 0 0 https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/GetPeptide?atlas_build_id=433&searchWithinThis=Peptide+Name&searchForThis=$$&action=QUERY
Description
\
\
PeptideAtlas collects raw mass \
spectrometry proteomics datasets from laboratories around the world and reprocesses them in a \
uniform bioinformatics workflow using the \
\
Trans-Proteomic Pipeline . \
This track displays peptide identifications from the PeptideAtlas\
August 2014 (Build 433) Human build.\
This build, based on 971 samples containing 420,607,360 spectra, identified 1,021,823 distinct\
peptides, covering 15,136 canonical proteins.
\
\
\
Each PeptideAtlas build comprises a set of reprocessed experiments from a single species or subset of samples (such has human plasma) from a species. Processed results are filtered to a quality level such that there is a 1% false discovery rate at the protein level. All peptide identifications of sufficient quality to enter a build are mapped to the Ensembl genome (v75) using the Ensembl toolkit. Genomic coordinates for all identified peptides to all their Ensembl protein, transcript, and gene mappings, including intron spans, as calculated by the Ensembl toolkit are stored in the PeptideAtlas database.
\
\
All peptide sequences in the August 2014 human build (including unmapped sequences) are available for \
download in FASTA format.
\
\
Methods
\
\
\
Mass spectrometer spectra are compared to theoretical spectra (SEQUEST, X!Tandem) or actual \
spectra (SpectraST) to identify possible peptides.\
These peptide identifications are scored and filtered (using PeptideProphet) to retain \
only the highest scoring identifications.\
The filtered sequences are compared to protein sequence \
databases (for human, Ensembl, IPI, and Swiss-Prot).\
The CDS coordinates relative to protein start of matched sequences are used to\
then calculate genomic coordinates.\
The protein identifications are then clustered and annotated using ProteinProphet,\
and stored in the SBEAMS database, where they \
assigned a unique identifer of the form PAp[8 digit number], e.g. PAp00000001.\
The processing pipeline is summarized in the graphic below.\
\
\
\
\
\
\
Credits
\
Eric Deutsch, Zhi Sun, and the PeptideAtlas team at the Institute for Systems Biology, Seattle.\
\
References
\
\
Desiere F, Deutsch EW, King NL, Nesvizhskii AI, Mallick P, Eng J, Chen S, Eddes J, Loevenich SN,\
Aebersold R.\
\
The PeptideAtlas project.\
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D655-8.\
PMID: 16381952; PMC: PMC1347403\
\
\
Nesvizhskii AI, Keller A, Kolker E, Aebersold R.\
\
A statistical model for identifying proteins by tandem mass spectrometry.\
Anal Chem. 2003 Sep 1;75(17):4646-58.\
PMID: 14632076\
\
\
\
expression 1 color 100, 82, 160\
group expression\
html peptideAtlas\
longLabel Peptide sequences identified from MS spectra of 971 samples by PeptideAtlas\
minGrayLevel 4\
scoreMax 51\
scoreMin 1\
shortLabel PeptideAtlas\
spectrum on\
track peptideAtlas2014\
type bed 12\
url https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/GetPeptide?atlas_build_id=433&searchWithinThis=Peptide+Name&searchForThis=$$&action=QUERY\
urlLabel Link to PeptideAtlas:\
visibility hide\
wgEncodeUwRepliSeqViewPctSignal Percentile Normalized Signal bed 3 Replication Timing by Repli-seq from ENCODE/University of Washington 1 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Replication Timing by Repli-seq from ENCODE/University of Washington\
parent wgEncodeUwRepliSeq\
shortLabel Percentile Normalized Signal\
track wgEncodeUwRepliSeqViewPctSignal\
view v1PctSignal\
viewLimits 15:35\
visibility dense\
windowingFunction mean+whiskers\
pgSnpPGP Personal Genome Project pgSnp Personal Genome Variants 0 100 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Personal Genome Variants\
parent pgSnp\
shortLabel Personal Genome Project\
track pgSnpPGP\
view D_PGP\
visibility hide\
ucscGenePfam Pfam in UCSC Gene bed 12 Pfam Domains in UCSC Genes 0 100 20 0 250 137 127 252 0 0 0 https://www.ebi.ac.uk/interpro/search/text/$$/?page=1#table
Description
\
\
\
Most proteins are composed of one or more conserved functional regions called\
domains. This track shows the high-quality, manually-curated\
\
Pfam-A\
domains found in transcripts located in the UCSC Genes track by the software HMMER3.\
\
\
Display Conventions and Configuration
\
\
\
This track follows the display conventions for\
gene\
tracks.\
\
\
Methods
\
\
\
The sequences from the knownGenePep table (see \
UCSC Genes description page)\
are submitted to the set of Pfam-A HMMs which annotate regions within the\
predicted peptide that are recognizable as Pfam protein domains. These regions\
are then mapped to the transcripts themselves using the\
\
pslMap utility. A complete shell script log for every version of UCSC genes can be found in \
our GitHub repository under \
hg/makeDb/doc/ucscGenes,\
e.g. \
mm10.knownGenes17.csh\
is for the database mm10 and version 17 of UCSC known genes.
\
\
\
Of the several options for filtering out false positives, the "Trusted cutoff (TC)" \
threshold method is used in this track to determine significance. For more information regarding \
thresholds and scores, see the HMMER \
documentation \
and \
results interpretation pages.\
\
\
\
Note: There is currently an undocumented but known HMMER problem which results in lessened \
sensitivity and possible missed searches for some zinc finger domains. Until a fix is released for \
HMMER /PFAM thresholds, please also consult the "UniProt Domains" subtrack of the UniProt track for \
more comprehensive zinc finger annotations.\
\
\
Credits
\
\
\
pslMap was written by Mark Diekhans at UCSC.\
\
\
References
\
\
\
Finn RD, Mistry J, Tate J, Coggill P, Heger A, Pollington JE, Gavin OL, Gunasekaran P, Ceric G,\
Forslund K et al.\
The Pfam protein families database.\
Nucleic Acids Res. 2010 Jan;38(Database issue):D211-22.\
PMID: 19920124; PMC: PMC2808889\
\
These tracks show high-confidence "Platinum Genome" variant calls for two individuals,\
NA12877 and NA12878, part of a sequenced 17 member pedigree for family number\
1463, from the Centre d'Etude du Polymorphisme Humain (CEPH). The hybrid\
track displays a merging of the NA12878 results with variant calls produced by Genome in a\
Bottle, discussed further below. CEPH is an international genetic research center that provides\
a resource of immortalized cell cultures used to map genetic markers, and pedigree 1463\
represents a family lineage from Utah of four grandparents, two parents, and 11 children.\
The whole pedigree was sequenced to 50x depth on a HiSeq 2000 Illumina system, which is\
considered a platinum standard, where platinum refers to the quality and completeness of\
the resulting assembly, such as providing full chromosome scaffolds with phasing and\
haplotypes resolved across the entire genome.
\
\
\
This figure depicts the pedigree of the family sequenced for this study, where the ID for each\
sample is defined by adding the prefix NA128 to each numbered individual, so that 77 = NA12877\
and 78 = NA12878, corresponding to the VCF tracks available in this track set. The dark orange\
individuals indicate sequences used in the analysis methods, whereas the blue represent the\
founder generations (grandparents), which were also sequenced and used in validation steps.\
The genomes of the parent-child trio on the top right side, 91-92-78, were also sequenced\
during Phase I of the 1000 Genomes Project.
\
\
These tracks represent a comprehensive genome-wide set of phased small variants that have been\
validated to high confidence. Sequencing and phasing a larger pedigree, beyond the two parents\
and one child, increases the ability to detect errors and assess the accuracy of more of the\
variants compared to a standard trio analysis. The genetic inheritance data enables creating a more\
comprehensive catalog of "platinum variants" that reflects both high accuracy and\
completeness. These results are significant as a comprehensive set of valid\
single-nucleotide variants (SNVs) and insertions and deletions (indels),\
in both the easy and difficult parts of the genome, provides a vital resource for software\
developers creating the next generation of variant callers, because these are the areas where\
the current methods most need training data to improve their methods. Since every one of the\
variants in this catalog is phased, this data set provides a resource to better assess emerging\
technologies designed to generate valid phasing information. To generate the calls, six analysis\
pipelines to call SNVs and indels were used and merged into one catalog, where the sensitivity of\
the genetic inheritance aided to detect genotyping errors and maximize the chance of only\
including true variants, that might otherwise be removed by suboptimal filtering. Read more\
about the detailed methods in the referenced paper, further describing this variant catalog\
of 4.7 million SNVs plus 0.7 million small (1-50 bp) indels, that are all consistent with\
the pattern of inheritance in the parents and 11 children of this pedigree.
\
\
The hybrid track in this set extends the characterization of NA12878\
by incorporating high confidence calls produced by Genome in a Bottle analysis.\
The resulting merged files contain more comprehensive coverage of variation than either\
set independently, for instance, the hg19 version contains over 80,000 more indels than\
either input set. Read more about the hybrid methods at the following link:\
https://github.com/Illumina/PlatinumGenomes/wiki/Hybrid-truthset
\
\
varRep 1 compositeTrack on\
configureByPopup off\
dataVersion Release 2017-1.0\
group varRep\
html ../platinumGenomes\
longLabel Platinum genome variants\
shortLabel Platinum Genomes\
track platinumGenomes\
type vcfTabix\
wgEncodeGisRnaSeqViewPlusRawSignal Plus Raw Signal bed 3 RNA-seq from ENCODE/Genome Institute of Singapore 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale on\
longLabel RNA-seq from ENCODE/Genome Institute of Singapore\
maxHeightPixels 100:24:16\
parent wgEncodeGisRnaSeq\
shortLabel Plus Raw Signal\
track wgEncodeGisRnaSeqViewPlusRawSignal\
transformFunc NONE\
view PlusRawSignal\
viewLimits 0:200\
visibility full\
windowingFunction maximum\
wgEncodeCaltechRnaSeqViewPlusSignal Plus Raw Signal bigWig RNA-seq from ENCODE/Caltech 2 100 0 0 0 127 127 127 0 0 0 expression 0 autoScale off\
longLabel RNA-seq from ENCODE/Caltech\
maxHeightPixels 100:24:16\
minLimit 0\
parent wgEncodeCaltechRnaSeq\
shortLabel Plus Raw Signal\
track wgEncodeCaltechRnaSeqViewPlusSignal\
type bigWig\
view PlusSignal\
viewLimits 1:10\
visibility full\
windowingFunction mean+whiskers\
wgEncodeCshlLongRnaSeqViewPlusSig Plus Signal bed 3 Long RNA-seq from ENCODE/Cold Spring Harbor Lab 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel Long RNA-seq from ENCODE/Cold Spring Harbor Lab\
maxHeightPixels 100:24:16\
maxLimit 898990\
minLimit 0\
parent wgEncodeCshlLongRnaSeq\
shortLabel Plus Signal\
track wgEncodeCshlLongRnaSeqViewPlusSig\
transformFunc NONE\
view PlusSignal\
viewLimits 1:100\
visibility full\
windowingFunction mean+whiskers\
wgEncodeRikenCageViewPlusSignal Plus Signal bed 3 RNA Subcellular CAGE Localization from ENCODE/RIKEN 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel RNA Subcellular CAGE Localization from ENCODE/RIKEN\
maxHeightPixels 100:24:16\
maxLimit 25183\
maxWindowToDraw 10000000\
minLimit .005\
parent wgEncodeRikenCage\
shortLabel Plus Signal\
track wgEncodeRikenCageViewPlusSignal\
transformFunc NONE\
view PlusRawSignal\
viewLimits 0:5\
visibility full\
windowingFunction mean+whiskers\
wgEncodeGisRnaPetViewPlusRawSig PlusRawSig bed 3 RNA Sub-cellular Localization by Paired-end diTag Sequencing from ENCODE/GIS 2 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel RNA Sub-cellular Localization by Paired-end diTag Sequencing from ENCODE/GIS\
maxHeightPixels 100:24:16\
maxLimit 25183\
minLimit .005\
parent wgEncodeGisRnaPet\
shortLabel PlusRawSig\
track wgEncodeGisRnaPetViewPlusRawSig\
transformFunc NONE\
view v2PlusRawSignal\
viewLimits 0:30\
visibility full\
windowingFunction mean+whiskers\
prs Polygenic Risk Scores bed 3 Polygenic Risk Scores 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The Polygenic Risk Scores eMERGE track shows variants that are part of selected polygenic risk\
scores for ten common diseases. Polygenic risk scores (PRS) have clinical utility and are the result\
of many years of GWAS studies. A score is given for a combination of SNPs to calculate the risk of\
getting a disease in a healthy population. The risk scores were selected by the NHGRI eMERGE project, and the selection process is described in\
Lennon et al. 2023. Many PRS models were evaluated, and the 9 models shown here\
were selected based on quality and are part of this track:\
\
\
Asthma
\
Atrial Fibrillation
\
Breast Cancer
\
Coronary Heart Disease
\
Chronic Kidney Disease
\
Hypercholesterolemia
\
Prostate Cancer
\
T1 Diabetes
\
T2 Diabetes
\
\
The BMI (body mass index) model cannot currently be shown on the browser, pending publication.
\
\
Methods
\
\
Text files provided by eMerge were converted to bigBed format. The scripts are available in our\
GitHub repo.\
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser\
or the Data Integrator. The data can be accessed from scripts\
through our API, the track name is "prsEmerge".\
\
\
\
For automated download and analysis, the genome annotations are stored in files that can be\
obtained from our\
download server. The data is stored in our bigBed\
format. Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool can be used to obtain all features or only features within a given range, e.g.\
\
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/prsEmerge/t2d.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
\
Credits
\
\
Thanks to Elisabeth McNally for advice, to Zia Truong for building this track and to Niall Lennon\
for sharing the data with us.\
\
This supertrack is a collection of gene prediction tracks and is composed of the following tracks:\
\
\
AUGUSTUS
\
\
shows ab initio predictions from the program\
AUGUSTUS\
(version 3.1). The predictions are based on the genome sequence alone.
\
Geneid Genes
\
\
shows gene predictions from the\
geneid\
program. Geneid is a program to predict genes in anonymous genomic sequences designed with a\
hierarchical structure.
\
Genscan Genes
\
\
shows predictions from the\
Genscan\
program. The predictions are based on transcriptional, translational and donor/acceptor\
splicing signals as well as the length and compositional distributions of exons, introns and\
intergenic regions.
\
SGP Genes
\
\
shows gene predictions from the\
SGP2 homology-based gene\
prediction program. To predict genes in a genomic query, SGP2 combines geneid predictions with\
tblastx comparisons of the genome of the target species against genomic sequences of other\
species (reference genomes) deemed to be at an appropriate evolutionary distance from the\
target.
\
SIB Genes
\
\
a transcript-based set of gene predictions based on data from RefSeq and\
EMBL/GenBank. The track includes both protein-coding and non-coding transcripts. The coding\
regions are predicted using\
ESTScan.
\
\
\
More information about display conventions, methods, credits, and references can be found on each\
subtrack's description page.
\
The "Prediction Scores" container track includes subtracks showing the results of prediction\
scores.
\
\
BayesDel
\
BayesDel is a deleteriousness meta-score for coding and non-coding variants, single nucleotide\
variants, and small insertion/deletions. The range of the score is from -1.29334 to 0.75731.\
The higher the score, the more likely the variant is pathogenic.
\
\
\
For gene discovery research, a universal cutoff value (0.0692655 with MaxAF, -0.0570105 without\
MaxAF) was obtained by maximizing sensitivity and specificity in classifying ClinVar variants;\
Version 1 (build date 2017-08-24).
\
\
For clinical variant classification, Bayesdel thresholds have been calculated for a variant to\
reach various levels of evidence; please refer to Pejaver et al. 2022 for general application\
of these scores in clinical applications.\
\
\
Display Conventions and Configuration
\
\
BayesDel
\
There are eight subtracks for the BayesDel track: four include pre-computed MaxAF-integrated BayesDel\
scores for missense variants, one for each base. The other four are of the same format, but scores\
are not MaxAF-integrated.
\
\
For SNVs, at each genome position, there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing the reference allele,\
(e.g. A to A) is always set to zero.
\
\
Note: There are cases in which a genomic position will have one value missing.\
\
\
When using this track, zoom in until you can see every base pair at the top of the display.\
Otherwise, there are several nucleotides per pixel under your mouse cursor and instead of an actual\
score, the tooltip text will show the average score of all nucleotides under the cursor. This is\
indicated by the prefix "~" in the mouseover.\
BayesDel data was converted from the files provided on the\
BayesDel_170824 Database.\
The number 170824 is the date (2017-08-24) the scores were created. Both sets of BayesDel scores are\
available in this database, one integrated MaxAF (named BayesDel_170824_addAF) and one without\
(named BayesDel_170824_noAF). Data conversion was performed using\
\
custom Python scripts.\
\
\
Credits
\
Thanks to the BayesDel team for providing precomputed data, and to Tiana Pereira, Christopher\
Lee, Gerardo Perez, and Anna Benet-Pages of the Genome Browser team.
\
phenDis 0 group phenDis\
longLabel Human Prediction Scores\
pennantIcon New red ../goldenPath/newsarch.html#030724 "Released, Mar. 7, 2024"\
shortLabel Prediction Scores\
superTrack on hide\
track predictionScoresSuper\
visibility hide\
problematic Problematic Regions bigBed 3 + Problematic Regions for NGS or Sanger sequencing or very variable regions 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track helps call out sections of the genome that often cause problems for bioinformaticians.\
The 12 subtracks identify genomic regions known to cause analysis artifacts for common sequencing\
downstream computations, such as alignment, variant calling, or peak calling. The underlying data was\
imported from the\
NCBI GeT-RM, the \
Genome-in-a-Bottle,\
and Anshul Kundaje's ENCODE Blacklist projects.\
\
The ENCODE Blacklist subtrack contains a comprehensive set of regions which are troublesome\
for high-throughput Next-Generation Sequencing (NGS) aligners. These regions tend to have a very\
high ratio of multi-mapping to unique mapping reads and high variance in mappability due to\
repetitive elements such as satellite, centromeric and telomeric repeats. \
\
\
\
The Genome-In-A-Bottle (GIAB) track set contains defined regions where it is difficult to\
make a confident call, due to low coverage, systematic sequencing errors, and local alignment\
problems. These regions were identified from sequencing data generated by multiple technologies.\
\
\
\
The NCBI GeT-RM, Genetic Testing Reference Materials, track set contains highly homologous\
gene- and exon-level regions difficult\
or impossible to analyze with standard Sanger or short-read NGS approaches and are relevant to\
current clinical testing. \
\
Display Conventions and Configuration
\
\
\
Each track contains a set of regions of varying length with no special configuration options. \
The UCSC Unusual Regions track has a mouse-over description, all other tracks have at most\
a name field, which can be shown in pack mode. The tracks are usually kept in dense mode.\
\
\
\
The Hide empty subtracks control hides subtracks with no data in the browser window. Changing the browser window by zooming or scrolling may result in the display of a different selection of tracks.\
\
For automated download and analysis, the genome annotation is stored in bigBed files that\
can be downloaded from\
our download server.\
Individual\
regions or the whole genome annotation can be obtained using our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool\
can also be used to obtain only features within a given range, e.g. \
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/bbi/problematic/deadZone.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
\
\
Methods
\
\
\
Files were downloaded from the respective databases and converted to bigBed format.\
The procedure is documented in our\
hg19 makeDoc file (search problematic).\
\
\
Credits
\
\
Thanks to Anna Benet-Pages, Max Haeussler, Angie Hinrichs, and Daniel Schmelter\
at the UCSC Genome Browser for planning, building, and testing these tracks. The\
underlying data comes from the \
ENCODE Blacklist, the\
GeT-RM,\
and the\
Genome-in-a-Bottle\
projects.\
\
\
\
map 1 compositeTrack on\
group map\
hideEmptySubtracks off\
longLabel Problematic Regions for NGS or Sanger sequencing or very variable regions\
shortLabel Problematic Regions\
track problematic\
type bigBed 3 +\
visibility hide\
gnomADPextProstate Prostate bigWig 0 1 gnomAD pext Prostate 0 100 221 221 221 238 238 238 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/Prostate.bw\
color 221,221,221\
longLabel gnomAD pext Prostate\
parent gnomadPext off\
shortLabel Prostate\
track gnomADPextProstate\
visibility hide\
prsEmerge PRS eMERGE bigBed 8 + Polygenic Risk Scores from NHGRI Electronic Medical Records and Genomics (eMERGE) project 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
The Polygenic Risk Scores eMERGE track shows variants that are part of selected polygenic risk\
scores for ten common diseases. Polygenic risk scores (PRS) have clinical utility and are the result\
of many years of GWAS studies. A score is given for a combination of SNPs to calculate the risk of\
getting a disease in a healthy population. The risk scores were selected by the NHGRI eMERGE project, and the selection process is described in\
Lennon et al. 2023. Many PRS models were evaluated, and the 9 models shown here\
were selected based on quality and are part of this track:\
\
\
Asthma
\
Atrial Fibrillation
\
Breast Cancer
\
Coronary Heart Disease
\
Chronic Kidney Disease
\
Hypercholesterolemia
\
Prostate Cancer
\
T1 Diabetes
\
T2 Diabetes
\
\
The BMI (body mass index) model cannot currently be shown on the browser, pending publication.
\
\
Methods
\
\
Text files provided by eMerge were converted to bigBed format. The scripts are available in our\
GitHub repo.\
\
\
Data access
\
\
The raw data can be explored interactively with the Table Browser\
or the Data Integrator. The data can be accessed from scripts\
through our API, the track name is "prsEmerge".\
\
\
\
For automated download and analysis, the genome annotations are stored in files that can be\
obtained from our\
download server. The data is stored in our bigBed\
format. Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool can be used to obtain all features or only features within a given range, e.g.\
\
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/prsEmerge/t2d.bb -chrom=chr21 -start=0 -end=100000000 stdout
\
\
\
Credits
\
\
Thanks to Elisabeth McNally for advice, to Zia Truong for building this track and to Niall Lennon\
for sharing the data with us.\
\
phenDis 1 compositeTrack on\
dataVersion Received from nlennon@broadinstitute.org, July 13 2023\
exonNumbers off\
html prs\
longLabel Polygenic Risk Scores from NHGRI Electronic Medical Records and Genomics (eMERGE) project\
mouseOver ${effectAllele}: weight ${weight}\
noScoreFilter on\
parent prs\
shortLabel PRS eMERGE\
skipFields reserved\
track prsEmerge\
type bigBed 8 +\
visibility dense\
pgSnpPSU PSU Bushmen pgSnp Personal Genome Variants 3 100 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Personal Genome Variants\
parent pgSnp\
shortLabel PSU Bushmen\
track pgSnpPSU\
view A_PSU\
visibility pack\
qPcrPrimers qPCR Primers bedDetail 14 Human (hg19) Whole Transcriptome qPCR Primers 0 100 0 0 0 127 127 127 0 0 0 http://www.weizmann.ac.il/cgi-bin/USERcompphys/primers/human/extract_primer_by_line.cgi?$$
Description
\
\
This track provides automatically-designed RT-qPCR primers for measuring the abundance of\
human and mouse transcripts using SYBR-based qPCR (qPCR with double-stranded DNA-binding\
reporter dye). The primers were generated by a\
procedure that targets all transcripts and all "possible" exon-exon and intron-exon\
junctions in the human and mouse transcriptomes.\
\
\
Not all consecutive exon-intron-exon triplets generate "possible" primer pairs.\
"Possible" primer pairs are defined as satisfying a set of imposed design rules:\
\
The first exon-exon junction is not addressed, to avoid problems related to abortive\
transcription.
\
Intron length should be more than 800 bp to avoid problems of double products in\
amplification.
\
Only junction primers are designed: forward and reverse primers must flank the junction.
\
Melting temperature of the primers should be between 60°C and 63°C (optimally\
60.5°C, according to Breslauer et al., 1986).
\
Primer length should be 18-25 bp.
\
Product size should be 60-125 bp.
\
Primers are designed first for the intron-exon (pre-mRNA) junctions, and the two best primer\
pairs for each junction are chosen.\
Then, for the reverse primer of each pair, two options are\
designed for the corresponding forward primer of the exon-exon (mRNA) junction.
\
The "Primer Mispriming Library" of the primer3 software is used: "human" for the human transcriptome and\
"rodent" for the mouse transcriptome.
\
\
\
\
The track provides easy access to primers for almost all transcripts in the transcriptome,\
eliminating the need for a tedious, error-prone design process.\
\
\
Methods
\
\
The UCSC Genes model\
was used as a reference of the gene structure and the\
primer3 software as the design engine. The\
software goes over all possible exon-exon junctions in the transcriptome and applies our design\
rules/parameters to provide two primer pairs for every "possible" intron-exon junction\
and four pairs for every "possible" exon-exon junction.\
\
Display Conventions
\
\
The primers to amplify pre-mRNA (intron-exon junctions) are shown in red\
and the primers to amplify\
mRNA (exon-exon junctions) in blue. For each pre-mRNA primer pair,\
there are two corresponding mRNA primers (that use the same reverse primer, if possible). Each pair\
has a unique code which stands for the gene name and the junction name. For example, the human pair\
"JAG1_uc002wnw.2_11_1" amplifies pre-mRNA, and the corresponding mRNA primers are\
"JAG1_uc002wnw.2_11_1_1" and "JAG1_uc002wnw.2_11_1_2."
\
\
Using JAG1_uc002wnw.2_11_1_2 to illustrate the naming scheme:\
\
JAG1 is the gene symbol.\
uc002wnw.2 is the UCSC Genes identifier of the isoform.\
11 identifies the exon-intron-exon triplet.\
1 is the number (1 or 2) of the intron-exon junction (step 7 in the Description\
section above). The names of primer pairs that cover intron-exon junctions\
end here. For the exon-exon junctions that use the same reverse primer, there is one additional\
number.\
2 is the number (1 or 2) of the exon-exon junction pair (step 8 in the\
Description section above).\
\
\
Clicking on a primer pair\
will take you to a new page with details for that pair. Additional properties for the primer pair,\
including forward and reverse sequence, melting temperature, GC%, and product size, are available\
by clicking on the number next to the instruction "Click here for primer details."\
There is also a\
batch query website available to download details for a large number of primers.\
\
expression 1 group expression\
itemRgb on\
longLabel Human (hg19) Whole Transcriptome qPCR Primers\
noScoreFilter on\
shortLabel qPCR Primers\
track qPcrPrimers\
type bedDetail 14\
url http://www.weizmann.ac.il/cgi-bin/USERcompphys/primers/human/extract_primer_by_line.cgi?$$\
urlLabel Click here for primer details:\
visibility hide\
rao2014Hic Rao 2014 Hi-C hic Hi-C on 7 cell lines from Rao 2014 0 100 0 0 0 127 127 127 0 0 0
Description
\
These tracks provide heatmaps of chromatin folding data from in situ Hi-C experiments on\
the seven cell lines (Rao et al., 2014). Two other cell lines were \
also part of this project, but are not included in this track: CH12-LX (mouse B-lymphoblasts)\
and HeLa (the Henrietta Lacks tumor cell line). Below are the seven types of cells sequenced \
with a short description:
\
\
\
GM12878
\
B-Lymphocyte Cells
\
\
HMEC
\
Mammary Epithelial Cells
\
\
HUVEC
\
Umbilical Endothelial Cells
\
\
IMR90
\
Fetal Lung Cells
\
\
K562
\
Immortalised Leukemia Cells
\
\
KBM7
\
Immortalised Leukemia Cells
\
\
NHEK
\
Epidermal Keratinocyte Cells
\
\
\
The data indicate how many interactions were detected between regions of the genome. A high score\
between two regions suggests that they are probably in close proximity in 3D space within the\
nucleus of a cell. In the track display, this is shown by a more intense color in the heatmap.\
\
Display Conventions
\
This is a composite track with data from seven cell lines. Individual subtrack settings can be\
adjusted by clicking the wrench next to the subtrack name, and all subtracks can be configured\
simultaneously using the track controls at the top of the page. Note that some controls\
(specifically, resolution and normalization options) are only available in the subtrack-specific\
configuration. The proximity data in these tracks are displayed as heatmaps, with high scores (and\
more intense colors) corresponding to closer proximity.\
\
Draw modes
\
There are three display methods available for Hi-C heatmaps: square, triangle, and arc. \
\
\
Square mode provides a traditional Hi-C display in which chromosome positions are mapped along the\
top-left-to-bottom-right diagonal, and interaction values are plotted on both sides of that diagonal\
to form a square. The upper-left corner of the square corresponds to the left-most position of the\
window in view, while the bottom-right corner corresponds to the right-most position of the window.\
\
The color shade at any point within the square shows the proximity score for two genomic regions:\
the region where a vertical line drawn from that point intersects with the diagonal, and the region\
where a horizontal line from that point intersects with the diagonal. A point directly on the\
diagonal shows the score for how proximal a region is to itself (scores on the diagonal are usually\
quite high unless no data are available). A point at the extreme bottom left of the square shows the\
score for how proximal the left-most position within the window is to the right-most position within\
the window.\
\
In triangle mode, the display is quite similar to square except that only the top half of the square\
is drawn (eliminating the redundancy), and the image is rotated so that the diagonal of the square\
now lies on the horizontal axis. This display consumes less vertical space in the image, although it\
may be more difficult to ascertain exactly which positions correspond to a point within the\
triangle.\
\
In arc mode, simple arcs are drawn between the centers of interacting regions. The color of each arc\
corresponds to the proximity score. Self-interactions are not displayed.\
\
Score normalization settings
\
Score values for this type of display correspond to how close two genomic regions are in 3D space. A\
high score indicates more links were formed between them in the experiment, which suggests that the\
regions are near to each other. A low score suggests that the regions are farther apart. High scores\
are displayed with a more intense color value; low scores are displayed in paler shades.\
\
There are four score values available in this display: NONE, VC, VC_SQRT, and KR. NONE provides raw,\
un-normalized counts for the number of interactions between regions. VC, or Vanilla Coverage,\
normalization (Lieberman-Aiden et al., 2009) and the VC_SQRT variant normalize these count\
values based on the overall count values for each of the two interacting regions. Knight-Ruiz, or\
KR, matrix balancing (Knight and Ruiz, 2013) provides an alternative normalization method where the\
row and column sums of the contact matrix equal 1.\
\
Color intensity in the heatmap goes up to indicate higher scores, but eventually saturates at a\
maximum beyond which all scores share the same color intensity. The value of this maximum score for\
saturation can be set manually by un-checking the "Auto-scale" box. When the\
"Auto-scale" box is checked, it automatically sets the saturation maximum to be double \
(2x) the median score in the current display window.\
\
Resolution settings
\
The resolution for each track is measured in base pairs and represents the size of the bins into\
which proximity data are gathered. The list of available resolutions ranges from 1kb to 10Mb. There\
is also an "Auto" setting, which attempts to use the coarsest resolution that still\
displays at least 500 bins in the current window.\
\
Methods
\
The protocol described in this paper, in situ Hi-C, is a refinement of an earlier method\
originally called Hi-C and now referred to as dilution Hi-C. Both methods involve cross-linking DNA\
with formaldehyde, cleaving it with a restriction enzyme, forming local bonds between the cleaved\
DNA ends, and sequencing the resulting junctions. The primary refinement for in situ Hi-C is that it\
keeps cell nuclei intact during cross-linking, which reduces the number of spurious contacts in the\
resulting contact matrix. The protocol also takes less time (3 days instead of 7) and can make use\
of higher-resolution restriction enzymes.\
\
The cell lines in this paper were processed using the in situ Hi-C protocol to produce contact\
matrices in the .hic format. We downloaded a subset of those files from the GEO repository at\
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE63525. The files used for\
this track are the "combined.hic" files, which combine the results from multiple\
experimental replicates without imposing a cutoff on the data values. The files are parsed for\
display using the Straw library from\
the Aiden lab at Baylor College of Medicine.\
\
\
Data Access
\
The data for this track can be explored interactively with the Table Browser in the\
interact format. Direct access to the\
raw data files in .hic format can be obtained from GEO at the URL provided in the Methods section or\
from our own download server.\
The following files for this track can be found in the\
/gbdb/hg19/hic/\
subdirectory:\
GSE63525_GM12878_insitu_primary+replicate_combined.hic, GSE63525_HUVEC_combined.hic,\
GSE63525_K562_combined.hic, GSE63525_NHEK_combined.hic, GSE63525_HMEC_combined.hic,\
GSE63525_IMR90_combined.hic, and GSE63525_KBM7_combined.hic. Details on working with .hic files\
can be found at https://www.aidenlab.org/documentation.html.\
\
regulation 1 compositeTrack on\
group regulation\
longLabel Hi-C on 7 cell lines from Rao 2014\
shortLabel Rao 2014 Hi-C\
track rao2014Hic\
type hic\
wgEncodeHaibTfbsViewRawSignal Raw Signal bed 3 Transcription Factor Binding Sites by ChIP-seq from ENCODE/HAIB 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel Transcription Factor Binding Sites by ChIP-seq from ENCODE/HAIB\
maxHeightPixels 100:32:16\
maxLimit 47957.00\
minLimit 0\
parent wgEncodeHaibTfbs\
shortLabel Raw Signal\
track wgEncodeHaibTfbsViewRawSignal\
view RawSignal\
viewLimits 0:5\
visibility full\
windowingFunction mean+whiskers\
wgEncodeUwDnaseViewzRaw Raw Signal bed 3 + DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington\
maxHeightPixels 100:32:16\
maxLimit 127303.00\
minLimit 1\
parent wgEncodeUwDnase\
shortLabel Raw Signal\
track wgEncodeUwDnaseViewzRaw\
view zRSig\
viewLimits 1:100\
visibility full\
windowingFunction mean+whiskers\
wgEncodeUwTfbsViewRawSig Raw Signal bed 3 CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel CTCF Binding Sites by ChIP-seq from ENCODE/University of Washington\
maxHeightPixels 100:32:16\
maxLimit 16000.0\
minLimit -1\
parent wgEncodeUwTfbs\
shortLabel Raw Signal\
track wgEncodeUwTfbsViewRawSig\
view zRSig\
viewLimits 1:10\
visibility full\
windowingFunction mean+whiskers\
ucsfBrainMethylViewCOV Raw Signal bed 3 UCSF Brain DNA Methylation 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel UCSF Brain DNA Methylation\
maxLimit 1000\
minLimit 0\
parent ucsfBrainMethyl\
shortLabel Raw Signal\
track ucsfBrainMethylViewCOV\
view COV\
viewLimits 0:100\
visibility full\
wgEncodeUwDgfViewzRaw RawSignal bed 3 DNaseI Digital Genomic Footprinting from ENCODE/University of Washington 0 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel DNaseI Digital Genomic Footprinting from ENCODE/University of Washington\
maxHeightPixels 100:32:16\
maxLimit 218367.00\
minLimit 1\
parent wgEncodeUwDgf\
shortLabel RawSignal\
track wgEncodeUwDgfViewzRaw\
view zRaw\
viewLimits 1:250\
visibility hide\
windowingFunction mean+whiskers\
wgEncodeOpenChromFaireRcc7860Pk RCC7860 FAIR Pk narrowPeak RCC 7860 FAIRE Peaks from ENCODE/OpenChrom(UNC) 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel RCC 7860 FAIRE Peaks from ENCODE/OpenChrom(UNC)\
parent wgEncodeOpenChromFaireViewPeaks off\
shortLabel RCC7860 FAIR Pk\
subGroups view=Peaks cellType=t3RCC7860 treatment=AANONE\
track wgEncodeOpenChromFaireRcc7860Pk\
type narrowPeak\
recombRate Recomb Rate bed 4 + Recombination Rate from deCODE, Marshfield, or Genethon Maps (deCODE default) 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The recombination rate track represents\
calculated sex-averaged rates of recombination based on either the\
deCODE, Marshfield, or Genethon genetic maps. By default, the deCODE\
map rates are displayed. Female- and male-specific recombination\
rates, as well as rates from the Marshfield and Genethon maps, can\
also be displayed by choosing the appropriate filter option on the track \
description page.
\
\
Methods
\
\
The deCODE genetic map was created at \
deCODE Genetics and is \
based on 5,136 microsatellite markers for 146 families with a total\
of 1,257 meiotic events. For more information on this map, see\
Kong, et al., 2002.
\
\
The Marshfield genetic map was created at the \
Center for Medical Genetics and is based on 8,325 short \
tandem repeat polymorphisms (STRPs) for 8 CEPH families consisting of 134\
individuals with 186 meioses. For more information on this map, see \
Broman et al., 1998.
\
\
The Genethon genetic map was created at \
Genethon and is based on 5,264 microsatellites for 8 CEPH \
families consisting of 134 individuals with 186 meioses. For more information \
on this map, see \
Dib et al., 1996.
\
\
Each base is assigned the recombination rate calculated by\
assuming a linear genetic distance across the immediately flanking\
genetic markers. The recombination rate assigned to each 1 Mb window\
is the average recombination rate of the bases contained within the\
window.
\
\
Using the Filter
\
\
This track has a filter that can be used to change the map or\
gender-specific rate displayed. The filter is located at the top of the track \
description page, which is accessed via the small button to the left of \
the track's graphical display or through the link on the track's control menu.\
To view a particular map or gender-specific rate, select the corresponding\
option from the "Map Distances" pulldown list. By default, the \
browser displays the deCODE sex-averaged distances.
\
\
When you have finished configuring the filter, click the Submit \
button.
\
\
Credits
\
\
This track was produced at UCSC using data that are freely available for\
the Genethon, Marshfield, and deCODE genetic maps (see above links). Thanks\
to all who played a part in the creation of these maps.
The data for this track was prepared by\
Hiram Clawson.\
map 1 group map\
longLabel RefSeq Accession\
shortLabel RefSeq Acc\
track ucscToRefSeq\
type bed 4\
url https://www.ncbi.nlm.nih.gov/nuccore/$$\
urlLabel RefSeq accession:\
visibility hide\
ghGeneHancer Reg Elem bigBed 9 + GeneHancer Regulatory Elements and Gene Interactions 1 100 0 0 0 127 127 127 0 0 0 http://www.genecards.org/Search/Keyword?queryString=$$ regulation 1 exonArrows off\
itemRgb on\
longLabel GeneHancer Regulatory Elements and Gene Interactions\
mouseOverField elementType\
parent geneHancer\
searchIndex name\
shortLabel Reg Elem\
track ghGeneHancer\
type bigBed 9 +\
url http://www.genecards.org/Search/Keyword?queryString=$$\
urlLabel In GeneCards:\
view a_GH\
visibility dense\
ReMap ReMap ChIP-seq bigBed 9 + ReMap Atlas of Regulatory Regions 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track represents the ReMap Atlas of regulatory regions, which consists of a\
large-scale integrative analysis of all Public ChIP-seq data for transcriptional\
regulators from GEO, ArrayExpress, and ENCODE. \
\
\
\
Below is a schematic diagram of the types of regulatory regions: \
\
ReMap 2022 Atlas (all peaks for each analyzed data set)
\
ReMap 2022 Non-redundant peaks (merged similar target)
\
ReMap 2022 Cis Regulatory Modules
\
\
\
\
\
\
Display Conventions and Configuration
\
\
\
Each transcription factor follows a specific RGB color.\
\
\
ChIP-seq peak summits are represented by vertical bars.\
\
\
Hsap: A data set is defined as a ChIP/Exo-seq experiment in a given\
GEO/ArrayExpress/ENCODE series (e.g. GSE41561), for a given TF (e.g. ESR1), in\
a particular biological condition (e.g. MCF-7).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE41561.ESR1.MCF-7).\
\
\
Atha: The data set is defined as a ChIP-seq experiment in a given series\
(e.g. GSE94486), for a given target (e.g. ARR1), in a particular biological\
condition (i.e. ecotype, tissue type, experimental conditions; e.g.\
Col-0_seedling_3d-6BA-4h).\
Data sets are labeled with the concatenation of these three pieces of\
information (e.g. GSE94486.ARR1.Col-0_seedling_3d-6BA-4h).\
\
\
\
Methods
\
\
This 4th release of ReMap (2022) presents the analysis of a total of 8,103 \
quality controlled ChIP-seq (n=7,895) and ChIP-exo (n=208) data sets from public\
sources (GEO, ArrayExpress, ENCODE). The ChIP-seq/exo data sets have been mapped\
to the GRCh38/hg38 human assembly. The data set is defined as a ChIP-seq \
experiment in a given series (e.g. GSE46237), for a given TF (e.g. NR2C2), in a\
particular biological condition (i.e. cell line, tissue type, disease state, or\
experimental conditions; e.g. HELA). Data sets were labeled by concatenating\
these three pieces of information, such as GSE46237.NR2C2.HELA. \ \
\
Those merged analyses cover a total of 1,211 DNA-binding proteins\
(transcriptional regulators) such as a variety of transcription factors (TFs),\
transcription co-activators (TCFs), and chromatin-remodeling factors (CRFs) for\
182 million peaks. \
\
\
\
\
GEO & ArrayExpress
\
\
Public ChIP-seq data sets were extracted from Gene Expression Omnibus (GEO) and\
ArrayExpress (AE) databases. For GEO, the query\
\
'('chip seq' OR 'chipseq' OR\
'chip sequencing') AND 'Genome binding/occupancy profiling by high throughput\
sequencing' AND 'homo sapiens'[organism] AND NOT 'ENCODE'[project]'\
\
was used to return a list of all potential data sets to analyze, which were then manually \
assessed for further analyses. Data sets involving polymerases (i.e. Pol2 and\
Pol3), and some mutated or fused TFs (e.g. KAP1 N/C terminal mutation, GSE27929)\
were excluded.\
\
\
ENCODE
\
\
Available ENCODE ChIP-seq data sets for transcriptional regulators from the\
ENCODE portal were processed with the\
standardized ReMap pipeline. The list of ENCODE data was retrieved as FASTQ files from the\
ENCODE portal\
using the following filters:\
\
Assay: "ChIP-seq"
\
Organism: "Homo sapiens"
\
Target of assay: "transcription factor"
\
Available data: "fastq" on 2016 June 21st
\
\
Metadata information in JSON format and FASTQ files\
were retrieved using the Python requests module.\
\
\
ChIP-seq processing
\
\
Both Public and ENCODE data were processed similarly. Bowtie 2 (PMC3322381) (version 2.2.9) with options -end-to-end -sensitive was used to align all\
reads on the genome. Biological and technical\
replicates for each unique combination of GSE/TF/Cell type or Biological condition\
were used for peak calling. TFBS were identified using MACS2 peak-calling tool\
(PMC3120977) (version 2.1.1.2) in order to follow ENCODE ChIP-seq guidelines,\
with stringent thresholds (MACS2 default thresholds, p-value: 1e-5). An input data\
set was used when available.\
\
\
\
Quality assessment
\
\
To assess the quality of public data sets, a score was computed based on the\
cross-correlation and the FRiP (fraction of reads in peaks) metrics developed by\
the ENCODE Consortium (https://genome.ucsc.edu/ENCODE/qualityMetrics.html). Two\
thresholds were defined for each of the two cross-correlation ratios (NSC,\
normalized strand coefficient: 1.05 and 1.10; RSC, relative strand coefficient:\
0.8 and 1.0). Detailed descriptions of the ENCODE quality coefficients can be\
found at https://genome.ucsc.edu/ENCODE/qualityMetrics.html. The\
phantompeak tools suite was used\
(https://code.google.com/p/phantompeakqualtools/) to compute\
RSC and NSC.\
\
\
Please refer to the ReMap 2022, 2020, and 2018 publications for more details\
(citation below).\
\
\
\
\
Data Access
\
\
ReMap Atlas of regulatory regions data can be explored interactively with the\
Table Browser and cross-referenced with the \
Data Integrator. For programmatic access,\
the track can be accessed using the Genome Browser's\
REST API.\
ReMap annotations can be downloaded from the\
Genome Browser's download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
\
Individual BED files for specific TFs, cells/biotypes, or data sets can be\
found and downloaded on the ReMap website.\
\
\
regulation 1 compositeTrack on\
group regulation\
html ../reMap\
longLabel ReMap Atlas of Regulatory Regions\
noScoreFilter on\
shortLabel ReMap ChIP-seq\
track ReMap\
type bigBed 9 +\
visibility hide\
ucscRetroAli5 Retroposed Genes psl Retroposed Genes V5, Including Pseudogenes 0 100 20 0 250 137 127 252 0 0 0
Description
\
\
\
Retrotransposition is a process involving the copying of DNA by a group of\
enzymes that have the ability to reverse transcribe spliced mRNAs, resulting\
in single-exon copies of genes and sometime chimeric genes. RetroGenes can be\
either functional genes that have acquired a promoter from a neighboring gene,\
non-functional pseudogenes, or transcribed pseudogenes.\
\
\
Methods
\
\
\
All mRNAs of a species from GenBank were aligned to the genome using\
lastz\
(Miller lab, Pennsylvania State University). mRNAs that aligned twice in the\
genome (once with introns and once without introns) were initially screened.\
Next, a series of features were scored to determine candidates for retrotransposition\
events. These features included position and length of the polyA tail, degree of\
synteny with mouse, coverage of repetitive elements, number of exons that can still\
be aligned to the retrogene and degree of divergence from the parent gene. Retrogenes\
were classified using a threshold score function that is a linear combination\
of this set of features. Retrogenes in the final set were selected using\
a score threshold based on a ROC plot against the\
Vega annotated pseudogenes.\
\
\
Retrogene Statistics table:
\
\
\
Expression of Retrogene: The following values are possible where\
those that are not expressed are classed as pseudogene or\
mrna:
\
\
pseudogene indicates that the parent gene has been annotated\
by one of NCBI's RefSeq, UCSC Genes or Mammalian Gene Collection (MGC).
\
mrna indicates that the parent gene is a spliced mrna that\
has no annotation in NCBI's RefSeq, UCSC Genes or Mammalian Gene Collection\
(MGC). Therefore, the retrogene is a product of a potentially non-annotated\
parent gene and is a putative pseudogene of that putative parent gene.
\
expressed weak indicates that there is a mRNA overlapping\
the retrogene, indicating possible transcription. noOrf indicates\
that an ORF was not identified by BESTORF.
\
expressed indicates that there is a medium level of mRNAs/ESTs\
mapping to the retrogene locus, indicating possible transcription.
\
expressed strong indicates that there is a mRNA overlapping\
the retrogene, and at least five spliced ESTs indicating probable transcription.\
noOrf indicates that an ORF was not identified by BESTORF.
\
expressed shuffle indicates that the retrogene was inserted into\
a pre-existing annotated gene.
\
\
Score: Based on features of the potential retrogene.
\
Percent Gene Alignment Coverage (Bases Matching Parent): Shows\
the percentage of the parent gene aligning to this region.
\
Intron Count: Number of introns is the number of gaps in\
the alignment between the parent mRNA and the genome where gaps are >80 bp and\
the ratio of the mRNA alignment gap to the genome alignment gap is less than\
30% after removing repeats.
\
Gap Count: Numer of gaps in the alignment of between the parent\
mRNA and the genome after removing repeats. Gaps are not counted if the gap on\
the mRNA side of the alignment is a similar size to the gap in the genome\
alignment.
\
BESTORF Score:\
BESTORF (written by Victor Solovyev) predicts potential open reading\
frames (ORFs) in mRNAs/ESTs with very high accuracy using a Markov chain model of coding\
regions and a probabilistic model of translation start codon potential. The score threshold\
for finding an ORF is 50 (Jim Kent, personal communication).
\
\
\
Break in Orthology table:
\
\
\
Retrogenes inserted into the genome since the human/mouse divergence show\
a break in the mouse genome syntenic net alignments to the human genome.\
The percentage break represents the portion of the genome that is missing in\
each species relative to the reference genome (human hg19) at the retrogene\
locus as defined by syntenic alignment nets. Breaks in orthology with mouse\
and dog tend to be due to genomic insertions in the primate lineage. Relative\
orthology of dog/human and rhesus macque/human nets are used to avoid false\
positives due to deletions in the mouse genome. Older retrogenes will not show\
a break in orthology, so this feature is weighted lower than other features when\
scoring putative retrogenes.\
\
\
\
These features can be downloaded from the table retroMrnaInfo in many formats using\
the Table Browser option from the Tools menu in the top blue navigation bar.\
\
\
Credits
\
\
\
The RetroFinder program and browser track were developed by\
Robert Baertsch at UCSC.\
This track collection shows Rare Exome Variant Ensemble Learner (REVEL) scores for predicting\
the deleteriousness of each nucleotide change in the genome.\
\
\
\
REVEL is an ensemble method for predicting the pathogenicity of missense variants \
based on a combination of scores from 13 individual tools: MutPred, FATHMM v2.3, \
VEST 3.0, PolyPhen-2, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP++, \
SiPhy, phyloP, and phastCons. REVEL was trained using recently discovered pathogenic \
and rare neutral missense variants, excluding those previously used to train its \
constituent tools. The REVEL score for an individual missense variant can range \
from 0 to 1, with higher scores reflecting greater likelihood that the variant is \
disease-causing. \
\
\
Most authors of deleteriousness scores argue against using fixed cutoffs in\
diagnostics. But to give an idea of the meaning of the score value, the REVEL\
authors note: "For example, 75.4% of disease mutations but only 10.9% of\
neutral variants (and 12.4% of all ESVs) have a REVEL score above 0.5,\
corresponding to a sensitivity of 0.754 and specificity of 0.891. Selecting a\
more stringent REVEL score threshold of 0.75 would result in higher specificity\
but lower sensitivity, with 52.1% of disease mutations, 3.3% of neutral\
variants, and 4.1% of all ESVs being classified as pathogenic". (Figure S1 of\
the reference below)\
\
\
Display Conventions and Configuration
\
\
There are five subtracks for this track:\
\
\
Four lettered subtracks, one for every nucleotide, showing\
scores for mutation from the reference to that\
nucleotide. All subtracks show the REVEL ensemble score on mouseover. Across the exome, \
there are three values per position, one for every possible\
nucleotide mutation. The fourth value, "no mutation", representing\
the reference allele, e.g. A to A, is always set to zero, "0.0". REVEL only\
takes into account amino acid changes, so a nucleotide change that results in no\
amino acid change (synonymous) also receives the score "0.0". \
\
In rare cases, two scores are output for the same variant at a \
genome position. This happens when there are two transcripts with\
different splicing patterns and since some input scores for REVEL take into account\
the sequence context, the same mutation can get two different scores. In these cases,\
only the maximum score is shown in the four per-nucleotide subtracks. The complete set of \
scores are shown in the Overlaps track.\
\
\
\
One subtrack, Overlaps, shows alternate REVEL scores when applicable. \
In rare cases (0.05% of genome positions), multiple scores exist with a single variant, \
due to multiple, overlapping transcripts. For example, if there are \
two transcripts and one covers only half of an exon, then the amino acids\
that overlap both transcripts will get two different REVEL scores, since some of the underlying \
scores (polyPhen for example) take into account the amino acid sequence context and \
this context is different depending on the transcript.\
For these cases, this subtrack contains at least two\
graphical features, for each affected genome position. Each feature is labeled\
with the mutation (A, C, T or G). The transcript IDs and resulting score is \
shown when hovering over the feature or clicking\
it. For the large majority of the genome, this subtrack has no features.\
This is because REVEL usually outputs only a single score per nucleotide and \
most transcript-derived amino acid sequence contexts are identical.\
\
\
Note that in most diagnostic assays, variants are called using WGS\
pipelines, not RNA-seq. As a result, variants are originally located on the\
genome, not on transcripts, and the choice of transcript is made by\
a variant calling software using a heuristic. In addition, clinically, in the\
field, some transcripts have been agreed-on as more relevant for a disease, e.g.\
because only certain transcripts may be expressed in the relevant tissue. So\
the choice of the most relevant transcript, and as such the REVEL score, may be\
a question of manual curation standards rather than a result of the variant itself.\
\
\
\
\
When using this track, zoom in until you can see every basepair at the\
top of the display. Otherwise, there are several nucleotides per pixel under \
your mouse cursor and no score will be shown on the mouseover tooltip.\
\
\
For hg38, note that the data was converted from the hg19 data using the UCSC\
liftOver program, by the REVEL authors. This can lead to missing values or\
duplicated values. When a hg38 position is annotated with two scores due to the\
lifting, the authors removed all the scores for this position. They did the same when\
the reference allele has changed from hg19 to hg38. Also, on hg38, the track has\
the "lifted" icon to indicate\
this. You can double-check if a nucleotide\
position is possibly affected by the lifting procedure by activating the track\
"Hg19 Mapping" under "Mapping and Sequencing".\
\
\
Data access
\
\
REVEL scores are available at the \
\
REVEL website. \
The site provides precomputed REVEL scores for all possible human missense variants \
to facilitate the identification of pathogenic variants among the large number of \
rare variants discovered in sequencing studies.\
\
\
\
\
The REVEL data on the UCSC Genome Browser can be explored interactively with the\
Table Browser or the\
Data Integrator.\
For automated download and analysis, the genome annotation is stored at UCSC in bigWig\
files that can be downloaded from\
our download server.\
The files for this track are called a.bw, c.bw, g.bw, t.bw. Individual\
regions or the whole genome annotation can be obtained using our tool bigWigToWig\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tools can also be used to obtain features confined to given range, e.g.\
\
\
bigWigToBedGraph -chrom=chr1 -start=100000 -end=100500 http://hgdownload.soe.ucsc.edu/gbdb/hg19/revel/a.bw stdout\
\
\
Methods
\
\
\
Data were converted from the files provided on\
the REVEL Downloads website. As with all other tracks,\
a full log of all commands used for the conversion is available in our \
source repository, for hg19 and hg38. The release used for each assembly is shown on the track description page.\
\
\
\
Credits
\
\
Thanks to the REVEL development team for providing precomputed data and fixing duplicated values in the hg38 files.\
\
\
phenDis 0 color 150,80,200\
compositeTrack on\
dataVersion /gbdb/$D/revel/version.txt\
group phenDis\
longLabel REVEL Pathogenicity Score for single-base coding mutations (zoom for exact score)\
shortLabel REVEL Scores\
track revel\
type bigWig\
visibility hide\
rgdQtl RGD Human QTL bed 4 . Human Quantitative Trait Locus from RGD 0 100 12 12 120 133 133 187 0 0 0 http://rgd.mcw.edu/objectSearch/qtlReport.jsp?rgd_id=
Description
\
\
A quantitative trait locus (QTL) is a polymorphic locus that contains alleles\
which differentially affect the expression of a continuously distributed \
phenotypic trait. Usually a QTL is a marker described by statistical \
association to quantitative variation in the particular phenotypic trait that\
is thought to be controlled by the cumulative action of alleles at multiple \
loci.
\
\
Credits
\
\
Thanks to the RGD for \
providing this annotation. RGD is funded by grant HL64541 entitled "Rat \
Genome Database", awarded to Dr. Howard J Jacob, Medical College of \
Wisconsin, from the National Heart Lung and Blood Institute \
(NHLBI) of the National \
Institutes of Health (NIH).\
\
phenDis 1 color 12,12,120\
group phenDis\
longLabel Human Quantitative Trait Locus from RGD\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel RGD Human QTL\
track rgdQtl\
type bed 4 .\
url http://rgd.mcw.edu/objectSearch/qtlReport.jsp?rgd_id=\
visibility hide\
rgdRatQtl RGD Rat QTL bed 4 . Rat Quantitative Trait Locus from RGD Coarsely Mapped to Human 0 100 12 100 100 133 177 177 0 0 0 http://rgd.mcw.edu/objectSearch/qtlReport.jsp?rgd_id=
Description
\
\
This track shows Rat quantitative trait loci (QTLs) from the \
Rat Genome Database (RGD) \
that have been coarsely mapped by UCSC to the Human genome using \
stringently filtered cross-species alignments. \
A quantitative trait locus (QTL) is a polymorphic locus that contains alleles\
which differentially affect the expression of a continuously distributed \
phenotypic trait. Usually a QTL is a marker described by statistical \
association to quantitative variation in the particular phenotypic trait that\
is thought to be controlled by the cumulative action of alleles at multiple \
loci.
\
\
For a comprehensive review of QTL mapping techniques in the rat, see Rapp, 2000.
\
\
To map the Rat QTLs to Human, UCSC's chained and netted blastz\
alignments of Rat to Human were filtered to retain only those with\
high chain scores (>=500,000). This removed many valid-but-short\
alignments and in general retained only very long chains (>10,000,\
usually >100,000 bp), so that only large regions could be mapped. This\
choice was made because QTLs in general are extremely large and\
approximate regions. After the alignment filtering, UCSC's liftOver\
program was used to map Rat regions to Human via the filtered\
alignments.
\
\
To get a sense of how many genomic rearrangments between Rat and\
Human are in the region of a particular Rat QTL, you may want to\
view the Human Nets track in the Rat Nov. 2004 (Baylor 3.4/rn4) genome browser. \
In the position/search box, enter the name of the Rat QTL of interest.\
\
\
Credits
\
\
Thanks to the RGD for \
providing the Rat QTLs. RGD is funded by grant HL64541 entitled "Rat \
Genome Database", awarded to Dr. Howard J Jacob, Medical College of \
Wisconsin, from the National Heart Lung and Blood Institute \
(NHLBI) of the National \
Institutes of Health (NIH).\
\
phenDis 1 color 12,100,100\
group phenDis\
longLabel Rat Quantitative Trait Locus from RGD Coarsely Mapped to Human\
origAssembly hg18\
otherDb rn4\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel RGD Rat QTL\
track rgdRatQtl\
type bed 4 .\
url http://rgd.mcw.edu/objectSearch/qtlReport.jsp?rgd_id=\
visibility hide\
wgEncodeRikenCage RIKEN CAGE Loc bed 3 RNA Subcellular CAGE Localization from ENCODE/RIKEN 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows 5' cap analysis gene expression (CAGE) tags and clusters in \
RNA extracts \
from different \
\
sub-cellular localizations \
in multiple\
cell lines.\
A CAGE cluster is a region of overlapping tags with\
an assigned value that represents the expression level.\
The data in this track were produced as part of the ENCODE \
Transcriptome Project. \
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are \
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that \
you wish to hide.
\
\
This track contains the following views:\
\
\
\
TSS HMM
\
Transcriptional Start Sites based on Hidden Markov Modeling for pooled replicates where two replicates exist. \
\
Expression levels are shown in reads per kilobase of exon per million reads mapped (RPKM).
\
The IDR value is the irreproducible discovery rate. This is a measurement that measures\
expression variances between genomic replicates in large scale experiments.
\
\
\
Plus and MinusSignals\
These views display signals representing the amount of overlapping CAGE reads (clusters) mapped on the forward and reverse genomic strands.\
\
Alignments
\
The Alignments view shows reads mapped to the genome and indicates where\
bases may mismatch. Every mapped read is displayed, i.e. uncollapsed. \
The alignment file follows the standard SAM format of Bowtie output. The custom tag XP can be\
ignored. See the\
Bowtie Manual\
for more information about the SAM Bowtie output (including other tags) and the\
SAM Format Specification\
for more information on the SAM/BAM file format.\
Where mapping quality is not available for this track, a score of 255 is used in accordance with\
the SAM Format Specification. Also, where the sequence quality scores are not available,\
all scores are displayed as 40.\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
Replicate numbering in the track display page is done by rank. The first replicate available may be replicate number three.
\
\
Color differences in subtracks may be set as a visual cue to\
distinguish between the different cell types or between annotations\
on the plus and minus strand.\
\
\
Downloadable Files
\
\
TSS GencV7
\
For some samples, there are download files in a modified gtf format with Transcriptional Start\
Sites based on GENCODE V7. A complete description of the TSS files is located in the\
supplemental materials directory.\
\
\
\
Methods
\
\
Cells were grown according to the approved \
\
ENCODE cell culture protocols.\
RNA molecules longer than 200 nt were isolated \
from each subcellular compartment and then\
were fractionated into polyA+ and polyA- fractions as described in \
these \
protocols.\
The CAGE tags were sequenced from the 5' ends of cap-trapped cDNAs produced\
using RIKEN CAGE technology \
(Kodzius et al. 2006; Valen et al. 2009). \
To create the tag, a linker was attached to the 5'\
end of polyA+ or polyA- reverse-transcribed cDNAs which were selected by cap\
trapping (Carninci et al. 1996). The first 27 bp of\
the cDNA were cleaved using class II restriction enzymes. A linker was then\
attached to the 3' end of the cDNA. \
\
\
After PCR amplification, the tags were sequenced using Illumina's Genome analyzer or HiSeq. The read lengths for each sample \
are specified in the metadata.\
Tags were mapped to the human genome (hg19) using the program Delve (T. Lassmann manuscript in preparation).\
Delve is a new probabilistic aligner focused on giving the best possible alignment of reads to a genome rather\
than focusing on speed. It calculates the mapping accuracy (probability of each alignment being true or not)\
for each alignment. There is no set limit on the number of errors allowed and therefore the mapping rate is\
commonly 100%. However, for analysis it is recommended to discard alignments with low mapping qualities.\
\
\
Exceptions to the above protocol are the polyA- RNA samples from K562 cytosol, K562 nucleus, and prostate whole cell\
which were sequenced using ABI SOLiD technology. These reads were mapped using Bowtie with its default parameters.\
Clusters were defined as regions of overlapping CAGE reads. The expression level was computed as the number\
of reads making up the cluster, divided by the total number of reads sequenced, times 1 million.\
\
\
Release Notes
\
\
This is Release 4 (July 2012) of Riken CAGE. Three missing Transcription Start Sites determined by Hidden Markov Models\
(TssHmm) tables have been added (H1-hesc Nucleus, H1-hesc Cytosol and NHEK Nucleus polyA+ samples).\
\
\
As with previous releases, the orignal data from the hg18 version of this track is still included and can be noted in the metadata as having a bioRepId that starts with gen0. This older data may be missing some information and does not have replicates. If there are new data available for an older sample, only the newer data is displayed. The older data is still availble for downloads.
\
\
\
Credits
\
\
These data were generated and analyzed by Timo Lassmann, Phil Kapranov, \
Hazuki Takahashi, Yoshihide Hayashizaki, Carrie Davis, Tom Gingeras, and Piero Carninci.\
\
Kodzius R, Kojima M, Nishiyori H, Nakamura M, Fukuda S, Tagami M, Sasaki D,\
Imamura K, Kai C, Harbers M, et al. \
\
CAGE: cap analysis of gene expression.\
Nat Methods. 2006 March 1; 3(3):211-222.\
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
\
This track shows single nucleotide polymorphisms (SNPs) used in a\
genome-wide scan for signals of positive selection in the human\
lineage since divergence from the Neandertal lineage.
\
\
SNP labels represent the ancestral (A) or derived (D) status,\
determined by comparison with the chimpanzee reference genome,\
of alleles in the human reference assembly, five modern human\
genomes of diverse ancestry (see the \
Modern Human Seq \
track), and Neandertals. \
The first six characters of an item name show the status of the allele\
(A, D or _ if not known)\
in six genomes: human reference, San, Yoruba, Han, Papuan, and French, in that\
order. These characters are followed by a colon, the number of derived alleles\
found in Neandertals, a comma and the number of ancestral alleles found in\
Neandertals. \
For example, a SNP labeled AAADAA:0D,2A has the ancestral allele in\
the reference human genome and in all of the modern human genomes\
except Han. Among Neandertals, two instances of the ancestral allele \
were found, but no instances of the derived allele. \
\
\
SNPs are colored red when at least four of the six modern human\
genomes are derived while all observed Neandertal alleles are\
ancestral. An overrepresentation of such SNPs in a region would \
imply that the region had undergone positive selection in the \
modern human lineage since divergence from Neandertals; the \
Sel Swp Scan \
(S) track displays a signal calculated from these SNPs, and the \
5% Lowest S\
track contains the regions in which the signal most strongly indicates selective\
pressure on the modern human lineage.\
\
\
Display Conventions and Configuration
\
\
Red\
SNPs are those where at least four of the six modern human\
genomes are derived while all observed Neandertal alleles are\
ancestral. All other SNPs are black.\
\
\
Methods
\
\
For the purposes of this analysis, SNPs were defined as single-base\
sites that are polymorphic among 5 modern human genomes of diverse\
ancestry (see the \
Modern Human Seq \
track) plus the human reference\
genome. SNPs at CpG sites were excluded because of the higher\
mutation rate at CpG sites. \
Ancestral or derived state was determined by comparison with the \
chimpanzee genome. \
\
\
Credits
\
\
This track was produced at UCSC using data generated by\
Ed Green.\
\
\
Reference
\
\
Green RE, Krause J, Briggs AW, Maricic T, Stenzel U, Kircher M, Patterson N, Li H, Zhai W, Fritz MH\
et al.\
\
A draft sequence of the Neandertal genome.\
Science. 2010 May 7;328(5979):710-22.\
PMID: 20448178\
\
neandertal 1 chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX\
exonArrows off\
group neandertal\
itemRgb on\
longLabel SNPS Used for Selective Sweep Scan (S)\
noScoreFilter .\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel S SNPs\
track ntSssSnps\
type bed 9\
visibility hide\
genomicSuperDups Segmental Dups bed 6 + Duplications of >1000 Bases of Non-RepeatMasked Sequence 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track shows regions detected as putative genomic duplications within the\
golden path. The following display conventions are used to distinguish\
levels of similarity:\
\
\
Light to dark gray: 90 - 98% similarity\
\
Light to dark yellow: 98 - 99% similarity\
\
Light to dark orange: greater than 99% similarity \
\
Red: duplications of greater than 98% similarity that lack sufficient \
Segmental Duplication Database evidence (most likely missed overlaps) \
\
For a region to be included in the track, at least 1 Kb of the total \
sequence (containing at least 500 bp of non-RepeatMasked sequence) had to \
align and a sequence identity of at least 90% was required.\
\
Methods
\
\
Segmental duplications play an important role in both genomic disease \
and gene evolution. This track displays an analysis of the global \
organization of these long-range segments of identity in genomic sequence.\
\
\
Large recent duplications (>= 1 kb and >= 90% identity) were detected\
by identifying high-copy repeats, removing these repeats from the genomic \
sequence ("fuguization") and searching all sequence for similarity. The \
repeats were then reinserted into the pairwise alignments, the ends of \
alignments trimmed, and global alignments were generated.\
For a full description of the "fuguization" detection method, see Bailey \
et al., 2001. This method has become \
known as WGAC (whole-genome assembly comparison); for example, see Bailey \
et al., 2002.\
\
\
rep 1 group rep\
longLabel Duplications of >1000 Bases of Non-RepeatMasked Sequence\
noScoreFilter .\
shortLabel Segmental Dups\
track genomicSuperDups\
type bed 6 +\
visibility hide\
ntSssZScorePMVar Sel Swp Scan (S) bigWig -8.8332 33.63719 Selective Sweep Scan (S) on Neandertal vs. Human Polymorphisms (Z-Score +- Variance) 0 100 0 0 0 127 127 127 0 0 23 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,
Description
\
\
This track shows the S score (Z-score +- variance) for positive selection in humans within a 100 kb\
window surrounding each polymorphic position in the five modern human\
sequences and the human reference genome as described in Green et al.,\
Supplemental Online Material Text 13, Burbano et al.. \
A positive score indicates more derived alleles in Neandertal than\
expected, given the frequency of derived alleles in human. A negative\
score indicates fewer derived alleles in Neandertal, and may indicate an \
episode of positive selection in early humans.\
\
\
To view the polymorphic sites on which the S score was computed, open\
the S\
SNPs track.
\
\
Methods
\
\
Green et al. identified single-base sites that are\
polymorphic among five modern human genomes of diverse ancestry\
(in the \
Modern Human Seq \
track) plus the human reference\
genome. CpG sites were excluded because of the higher mutation rate\
at CpG sites.\
The ancestral or derived state of each single nucleotide polymorphism\
(SNP) was determined by comparison with the chimpanzee genome.\
The SNPs are displayed in the \
S SNPs track.\
The fact that SNPs with higher frequencies of the derived\
allele in modern humans were more likely to show the derived allele in\
Neandertals was used to calculate the expected number of derived alleles in\
Neandertal within a given region of the human genome.\
The observed numbers of derived alleles were compared to the expected\
numbers to identify regions where the Neandertals carry fewer\
derived alleles than expected given the human allelic states. The\
score assigned to each SNP is\
the z-score of the observed and expected counts relative\
to the variance in the number of the expected counts of derived\
alleles within the 100,000-base window around the SNP.\
\
\
Note: In order to display both the score and the variance within\
the same track in the UCSC Genome Browser, the scores were modified as\
follows: at the SNP position, the value displayed is the score plus\
the variance. At the position following the SNP position, the score\
minus the variance is displayed. When viewing large regions (at least\
100,000 bases), the default mean+whiskers condensation of the scores\
provides an indication of the range covered by the variance.\
\
\
Reference
\
\
Green RE, Krause J, Briggs AW, Maricic T, Stenzel U, Kircher M, Patterson N, Li H, Zhai W, Fritz MH\
et al.\
\
A draft sequence of the Neandertal genome.\
Science. 2010 May 7;328(5979):710-22.\
PMID: 20448178\
\
neandertal 0 autoScale off\
chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX\
group neandertal\
longLabel Selective Sweep Scan (S) on Neandertal vs. Human Polymorphisms (Z-Score +- Variance)\
maxHeightPixels 128:32:11\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel Sel Swp Scan (S)\
track ntSssZScorePMVar\
type bigWig -8.8332 33.63719\
viewLimits -5:1\
visibility hide\
windowingFunction mean\
yLineMark -2\
yLineOnOff on\
chainSelf Self Chain chain hg19 Human Chained Self Alignments 0 100 100 50 0 255 240 200 1 0 0
Description
\
\
This track shows alignments of the human genome with itself, using\
a gap scoring system that allows longer gaps than traditional\
affine gap scoring systems. The system can also tolerate gaps\
in both sets of sequence simultaneously. After filtering out the \
"trivial" alignments produced when identical locations of the \
genome map to one another (e.g. chrN mapping to chrN), \
the remaining alignments point out areas of duplication within the \
human genome. The pseudoautosomal regions of chrX and chrY are an \
exception: in this assembly, these regions have been copied from chrX into \
chrY, resulting in a large amount of self chains aligning in these positions \
on both chromosomes.
\
\
The chain track displays boxes joined together by either single or\
double lines. The boxes represent aligning regions. Single lines indicate \
gaps that are largely due to a deletion in the query assembly or an \
insertion in the target assembly. Double lines represent more complex gaps \
that involve substantial sequence in both the query and target assemblies. \
This may result from inversions, overlapping deletions, an abundance of local \
mutation, or an unsequenced gap in one of the assemblies. In cases where \
multiple chains align over a particular region of the human genome, the \
chains with single-lined gaps are often due to processed pseudogenes, while \
chains with double-lined gaps are more often due to paralogs and unprocessed \
pseudogenes.
\
\
In the "pack" and "full" display\
modes, the individual feature names indicate the chromosome, strand, and\
location (in thousands) of the match for each matching alignment.
\
\
\
Display Conventions and Configuration
\
By default, the chains to chromosome-based assemblies are colored\
based on which chromosome they map to in the aligning organism. To turn\
off the coloring, check the "off" button next to: Color\
track based on chromosome.
\
\
To display only the chains of one chromosome in the aligning\
organism, enter the name of that chromosome (e.g. chr4) in box next to: \
Filter by chromosome.
\
\
Methods
\
\
The genome was aligned to itself using blastz. Trivial alignments were \
filtered out, and the remaining alignments were converted into axt format\
using the lavToAxt program. The axt alignments were fed into axtChain, which \
organizes all alignments between a single target chromosome and a single\
query chromosome into a group and creates a kd-tree out of the gapless \
subsections (blocks) of the alignments. A dynamic program was then run over \
the kd-trees to find the maximally scoring chains of these blocks.\
\
The following matrix was used:
\
\
A
C
G
T
\
A
90
-330
-236
-356
\
C
-330
100
-318
-236
\
G
-236
-318
100
-330
\
T
-356
-236
-330
90
\
\
\
\
Chains scoring below a minimum score of 2,000 were discarded;\
the remaining chains are displayed in this track.\
\
Credits
\
\
Blastz was developed at Pennsylvania State University by\
Minmei Hou, Scott Schwartz, Zheng Zhang, and Webb Miller with advice from\
Ross Hardison.
\
\
Lineage-specific repeats were identified by Arian Smit and his\
RepeatMasker\
program.
\
\
The axtChain program was developed at the University of California\
at Santa Cruz by Jim Kent with advice from Webb Miller and David Haussler.\
\
\
The browser display and database storage of the chains were generated\
by Robert Baertsch and Jim Kent.
\
This track displays exon microarray expression data from the late mid-fetal\
human brain, generated by the Sestan Lab at Yale University. The data represent\
13 brain regions, including nine areas of neocortex, and both hemispheres. By\
default, arrays are grouped by the median for each brain region, including each\
neocortical area. Alternatively, neocortex areas can be grouped together;\
arrays can be grouped by mean; or all 95 arrays can be shown individually. \
\
Methods
\
\
RNA was isolated from 13 brain regions, from both hemispheres, of four late\
mid-fetal human brains, with a total PMI of less than one hour, and hybridized\
to Affymetrix Human Exon 1.0 ST arrays. Affymetrix CEL files were imported into\
Partek GS using Robust Multichip Average (RMA) background correction, quantile\
normalization, and GC content correction. The normalized data were then\
converted to log-ratios, relative to arrays hybridized with RNA pooled from all\
regions of the same brain. Signal log-ratios are displayed here as green for\
negative (underexpression) and red for positive (overexpression). \
\
The probe set for this microarray track can be displayed by turning on the\
Affy HuEx 1.0 track. Core, extended, and full probe sets are shown.\
"Bounded" probe sets - exons that lie within the intron of more than\
one gene - and potentially cross-hybridizing probe sets were filtered from this\
dataset, leaving ~875K probe sets.\
\
Credits
\
\
The data for this track were generated and analyzed by Matthew B. Johnson,\
Yuka Imamura Kawasawa, Christopher Mason, and the \
Yale Neuroscience Microarray Center.\
\
expression 1 expScale 3.0\
expStep 0.5\
expTable sestanBrainAtlasExps\
group expression\
groupings sestanBrainAtlasGroups\
longLabel Sestan Lab Human Brain Atlas Microarrays\
origAssembly hg18\
pennantIcon 18.jpg ../goldenPath/help/liftOver.html "lifted from hg18"\
shortLabel Sestan Brain\
track sestanBrainAtlas\
type expRatio\
visibility hide\
avgView Sex Avg bed 3 deCODE Recombination maps, 10Kb bin size, October 2010 2 100 0 0 0 127 127 127 0 0 22 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr16,chr14,chr15,chr17,chr18,chr19,chr20,chr22,chr21, map 1 longLabel deCODE Recombination maps, 10Kb bin size, October 2010\
parent decodeRmap\
shortLabel Sex Avg\
track avgView\
view avg\
visibility full\
wgEncodeUwHistoneViewRawSig Sg Signal bed 3 Histone Modifications by ChIP-seq from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel Histone Modifications by ChIP-seq from ENCODE/University of Washington\
maxHeightPixels 100:32:16\
maxLimit 16000.0\
minLimit -1\
parent wgEncodeUwHistone\
shortLabel Sg Signal\
track wgEncodeUwHistoneViewRawSig\
view zRSig\
viewLimits 1:100\
visibility full\
windowingFunction mean+whiskers\
sgpGene SGP Genes genePred sgpPep SGP Gene Predictions Using Mouse/Human Homology 0 100 0 90 100 127 172 177 0 0 0
Description
\
\
This track shows gene predictions from the\
SGP2\
homology-based gene prediction program developed by Roderic Guigó's\
"Computational Biology of RNA Processing"\
group, which is part of the Centre de Regulació Genòmica\
(CRG) in Barcelona, Catalunya, Spain. To predict\
genes in a genomic query, SGP2 combines geneid predictions with tblastx\
comparisons of the genome of the target species against genomic sequences\
of other species (reference genomes) deemed to be at an appropriate\
evolutionary distance from the target.\
\
Credits
\
\
Thanks to the\
"Computational Biology of RNA Processing"\
group for providing these data.\
genes 1 color 0,90,100\
group genes\
html ../../sgpGene\
longLabel SGP Gene Predictions Using Mouse/Human Homology\
parent genePredArchive\
shortLabel SGP Genes\
track sgpGene\
type genePred sgpPep\
visibility hide\
sibGene SIB Genes genePred Swiss Institute of Bioinformatics Gene Predictions from mRNA and ESTs 0 100 195 90 0 225 172 127 0 0 0 http://ccg.vital-it.ch/cgi-bin/tromer/tromer_quick_search_internal.pl?db=hg19&query_str=$$
Description
\
\
The SIB Genes track is a transcript-based set of gene predictions based\
on data from RefSeq and EMBL/GenBank. Genes all have the support of at\
least one GenBank full length RNA sequence, one RefSeq RNA, or one spliced\
EST. The track includes both protein-coding and non-coding transcripts.\
The coding regions are predicted using\
ESTScan.
\
\
Display Conventions and Configuration
\
\
This track in general follows the display conventions for\
gene prediction\
tracks. The exons for putative non-coding genes and untranslated regions \
are represented by relatively thin blocks while those for coding open \
reading frames are thicker.
\
\
This track contains an optional codon coloring\
feature that allows users to quickly validate and compare gene predictions.\
To display codon colors, select the genomic codons option from the\
Color track by codons pull-down menu. Go to the\
Coloring Gene Predictions and\
Annotations by Codon page for more information about this feature.
\
The SIB Genes are built using a multi-step pipeline: \
\
RefSeq and GenBank RNAs and ESTs are aligned to the genome with\
SIBsim4, keeping \
only the best alignments for each RNA.\
Alignments are broken up at non-intronic gaps, with small isolated \
fragments thrown out.\
A splicing graph is created for each set of overlapping alignments. This\
graph has an edge for each exon or intron, and a vertex for each splice site,\
start, and end. Each RNA that contributes to an edge is kept as evidence for\
that edge.\
The graph is traversed to generate all unique transcripts. The traversal is \
guided by the initial RNAs to avoid a combinatorial explosion in alternative \
splicing.\
Protein predictions are generated.\
\
\
Credits
\
\
The SIB Genes track was produced on the Vital-IT high-performance \
computing platform\
using a computational pipeline developed by Christian Iseli with help from\
colleagues at the Ludwig Institute\
for Cancer\
Research and the Swiss Institute \
of Bioinformatics. It is based on data from NCBI RefSeq and GenBank/EMBL. Our\
thanks to the people running these databases and to the scientists worldwide\
who have made contributions to them.
\
\
References
\
\
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL.\
GenBank: update.\
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D23-6.\
PMID: 14681350; PMC: PMC308779\
\
genes 1 color 195,90,0\
group genes\
html ../../sibGene\
longLabel Swiss Institute of Bioinformatics Gene Predictions from mRNA and ESTs\
parent genePredArchive\
shortLabel SIB Genes\
track sibGene\
type genePred\
url http://ccg.vital-it.ch/cgi-bin/tromer/tromer_quick_search_internal.pl?db=hg19&query_str=$$\
urlLabel SIB link:\
visibility hide\
wgEncodeGisChiaPetSignal Signal bed 12 Chromatin Interaction Analysis Paired-End Tags (ChIA-PET) from ENCODE/GIS-Ruan 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Chromatin Interaction Analysis Paired-End Tags (ChIA-PET) from ENCODE/GIS-Ruan\
maxHeightPixels 100:24:16\
maxLimit 25183\
minLimit .005\
parent wgEncodeGisChiaPet\
shortLabel Signal\
track wgEncodeGisChiaPetSignal\
transformFunc NONE\
view Signal\
viewLimits 0:30\
visibility full\
windowingFunction mean+whiskers\
wgEncodeSydhNsomeViewSignal Signal bed 3 Nucleosome Position by MNase-seq from ENCODE/Stanford/BYU 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel Nucleosome Position by MNase-seq from ENCODE/Stanford/BYU\
maxHeightPixels 100:32:16\
parent wgEncodeSydhNsome\
shortLabel Signal\
track wgEncodeSydhNsomeViewSignal\
view Signal\
viewLimits 0:8\
visibility full\
windowingFunction mean+whiskers\
wgEncodeHaibRnaSeqViewSignal Signal bigWig RNA-seq from ENCODE/HAIB 2 100 0 0 0 127 127 127 0 0 0 expression 0 autoScale off\
longLabel RNA-seq from ENCODE/HAIB\
maxHeightPixels 100:24:16\
parent wgEncodeHaibRnaSeq\
shortLabel Signal\
track wgEncodeHaibRnaSeqViewSignal\
transformFunc NONE\
type bigWig\
view RawSignal\
viewLimits 0:5\
visibility full\
windowingFunction mean+whiskers\
wgEncodeSydhTfbsViewSignal Signal bed 3 Transcription Factor Binding Sites by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel Transcription Factor Binding Sites by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard\
maxHeightPixels 100:32:16\
maxLimit 12768\
minLimit -1\
parent wgEncodeSydhTfbs\
shortLabel Signal\
track wgEncodeSydhTfbsViewSignal\
view Signal\
viewLimits 3:40\
visibility full\
windowingFunction mean+whiskers\
wgEncodeUchicagoTfbsViewSignal Signal bed 3 Transcription Factor Binding Sites by Epitope-Tag from ENCODE/UChicago 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Transcription Factor Binding Sites by Epitope-Tag from ENCODE/UChicago\
maxHeightPixels 100:32:16\
maxLimit 12768\
minLimit 0\
parent wgEncodeUchicagoTfbs\
shortLabel Signal\
track wgEncodeUchicagoTfbsViewSignal\
view Signal\
viewLimits 0:15\
visibility full\
windowingFunction mean+whiskers\
wgEncodeBuOrchidSignalView Signal bigWig -1 2 ORChID Predicted DNA Cleavage Sites from ENCODE/Boston Univ (Tullius lab) 2 100 0 0 0 127 127 127 0 0 0 map 0 autoScale on\
longLabel ORChID Predicted DNA Cleavage Sites from ENCODE/Boston Univ (Tullius lab)\
maxHeightPixels 100:50:16\
parent wgEncodeBuOrchid\
shortLabel Signal\
smoothingWindow 7\
track wgEncodeBuOrchidSignalView\
transformFunc NONE\
type bigWig -1 2\
view Signal\
viewLimits 0:0.4\
visibility full\
windowingFunction mean+whiskers\
wgEncodeUwDgfViewSignal Signal bed 3 DNaseI Digital Genomic Footprinting from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel DNaseI Digital Genomic Footprinting from ENCODE/University of Washington\
maxHeightPixels 100:32:16\
maxLimit 70530\
minLimit 1\
parent wgEncodeUwDgf\
shortLabel Signal\
track wgEncodeUwDgfViewSignal\
view Signal\
viewLimits 2:20\
visibility full\
windowingFunction mean+whiskers\
wgEncodeSunyRipSeqViewSignal Signal bigWig RIP-seq from ENCODE/SUNY Albany 2 100 0 0 0 127 127 127 0 0 0 regulation 0 autoScale off\
longLabel RIP-seq from ENCODE/SUNY Albany\
maxHeightPixels 100:24:16\
parent wgEncodeSunyRipSeq\
shortLabel Signal\
track wgEncodeSunyRipSeqViewSignal\
transformFunc NONE\
type bigWig\
view Signal\
viewLimits 0:500\
visibility full\
windowingFunction mean+whiskers\
wgEncodeSydhRnaSeqViewSignal Signal bed 3 RNA-seq from ENCODE/Stanford/Yale/USC/Harvard 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel RNA-seq from ENCODE/Stanford/Yale/USC/Harvard\
maxHeightPixels 100:24:16\
parent wgEncodeSydhRnaSeq\
shortLabel Signal\
track wgEncodeSydhRnaSeqViewSignal\
transformFunc NONE\
view RawSignal\
viewLimits 0:78\
visibility full\
windowingFunction mean+whiskers\
wgEncodeCaltechRnaSeqViewSignal Signal bed 3 RNA-seq from ENCODE/Caltech 2 100 0 0 0 127 127 127 0 0 0 expression 1 autoScale off\
longLabel RNA-seq from ENCODE/Caltech\
maxHeightPixels 100:24:16\
minLimit 0\
parent wgEncodeCaltechRnaSeq\
shortLabel Signal\
track wgEncodeCaltechRnaSeqViewSignal\
view Signal\
viewLimits 1:10\
visibility full\
windowingFunction mean+whiskers\
wgEncodeUncBsuProtViewSignal Signal bed 3 Proteogenomics Hg19 Mapping from ENCODE/Univ. North Carolina/Boise State Univ. 2 100 0 0 0 127 127 127 1 0 0 expression 1 longLabel Proteogenomics Hg19 Mapping from ENCODE/Univ. North Carolina/Boise State Univ.\
parent wgEncodeUncBsuProt\
scoreFilter 200\
scoreFilterLimits 200:1000\
shortLabel Signal\
track wgEncodeUncBsuProtViewSignal\
useScore 1\
view Signal\
visibility full\
wgEncodeBroadHistoneViewSignal Signal bed 3 Histone Modifications by ChIP-seq from ENCODE/Broad Institute 2 100 0 0 0 127 127 127 1 0 0 regulation 1 autoScale off\
longLabel Histone Modifications by ChIP-seq from ENCODE/Broad Institute\
maxHeightPixels 100:32:16\
maxLimit 473622.75\
minLimit -1\
parent wgEncodeBroadHistone\
shortLabel Signal\
spanList first\
track wgEncodeBroadHistoneViewSignal\
view Signal\
viewLimits 1:50\
visibility full\
windowingFunction mean+whiskers\
wgEncodeSydhHistoneViewSignal Signal bed 3 Histone Modifications by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
longLabel Histone Modifications by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard\
maxHeightPixels 100:32:16\
maxLimit 13293\
minLimit -1\
parent wgEncodeSydhHistone\
shortLabel Signal\
track wgEncodeSydhHistoneViewSignal\
view Signal\
viewLimits 3:20\
visibility full\
windowingFunction mean+whiskers\
simpleRepeat Simple Repeats bed 4 + Simple Tandem Repeats by TRF 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays simple tandem repeats (possibly imperfect repeats) located\
by Tandem Repeats\
Finder (TRF) which is specialized for this purpose. These repeats can\
occur within coding regions of genes and may be quite\
polymorphic. Repeat expansions are sometimes associated with specific\
diseases.
\
\
Methods
\
\
For more information about the TRF program, see Benson (1999).\
\
rep 1 group rep\
longLabel Simple Tandem Repeats by TRF\
shortLabel Simple Repeats\
track simpleRepeat\
type bed 4 +\
visibility hide\
pgSnp1off Single Genomes pgSnp Personal Genome Variants 0 100 0 0 0 127 127 127 0 0 0 varRep 1 longLabel Personal Genome Variants\
parent pgSnp\
shortLabel Single Genomes\
track pgSnp1off\
view N_1off\
visibility hide\
gnomADPextSkin_NotSunExposed_Suprapubic_ Skin-Not Sun Exposed (Suprapubic) bigWig 0 1 gnomAD pext Skin-Not Sun Exposed (Suprapubic) 0 100 0 0 255 127 127 255 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/Skin_NotSunExposed_Suprapubic_.bw\
color 0,0,255\
longLabel gnomAD pext Skin-Not Sun Exposed (Suprapubic)\
parent gnomadPext off\
shortLabel Skin-Not Sun Exposed (Suprapubic)\
track gnomADPextSkin_NotSunExposed_Suprapubic_\
visibility hide\
gnomADPextSkin_SunExposed_Lowerleg_ Skin-Sun Exposed (Lowerleg) bigWig 0 1 gnomAD pext Skin-Sun Exposed (Lowerleg) 0 100 119 119 255 187 187 255 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/Skin_SunExposed_Lowerleg_.bw\
color 119,119,255\
longLabel gnomAD pext Skin-Sun Exposed (Lowerleg)\
parent gnomadPext off\
shortLabel Skin-Sun Exposed (Lowerleg)\
track gnomADPextSkin_SunExposed_Lowerleg_\
visibility hide\
gnomADPextSmallIntestine_TerminalIleum Small Intestine-Terminal Ileum bigWig 0 1 gnomAD pext Small Intestine-Terminal Ileum 0 100 85 85 34 170 170 144 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/SmallIntestine_TerminalIleum.bw\
color 85,85,34\
longLabel gnomAD pext Small Intestine-Terminal Ileum\
parent gnomadPext off\
shortLabel Small Intestine-Terminal Ileum\
track gnomADPextSmallIntestine_TerminalIleum\
visibility hide\
wgRna sno/miRNA bed 8 + C/D and H/ACA Box snoRNAs, scaRNAs, and microRNAs from snoRNABase and miRBase 0 100 200 80 0 227 167 127 0 0 0 http://www-snorna.biotoul.fr/plus.php?id=$$
Description
\
\
This track displays positions of four different types of RNA in the human \
genome: \
\
precursor forms of microRNAs (pre-miRNAs) \
C/D box small nucleolar RNAs (C/D box snoRNAs)\
H/ACA box snoRNAs\
small Cajal body-specific RNAs (scaRNAs) \
\
\
C/D box and H/ACA box snoRNAs are guides for the 2'O-ribose methylation and \
the pseudouridilation, respectively, of rRNAs and snRNAs, although many of \
them have no documented target RNA. The scaRNAs guide modifications of the\
spliceosomal snRNAs transcribed by RNA polymerase II, and often contain both \
C/D and H/ACA domains.
\
This track follows the general display conventions for \
gene prediction \
tracks. At a zoomed-in resolution, arrows superimposed on the blocks \
indicate the sense orientation of the RNAs. The RNA types are represented by \
blocks of the following colors:\
\
red = pre-miRNA
\
blue = C/D box snoRNA
\
green = H/ACA box snoRNA
\
magenta = scaRNA
\
\
Methods
\
Pre-miRNA genomic locations from miRBase were calculated using wublastn for sequence \
alignment with the requirement of 100% identity. The extents of the precursor \
sequences were not generally known and were predicted based on base-paired \
hairpin structure.
\
\
The snoRNAs and scaRNAs genomic locations from snoRNABase were aligned to the hg18 human genome assembly \
using BLAT and were then lifted to the hg19 assembly.\
In a few cases, no exact match was found for the published sequences; these \
likely correspond to sequencing errors. In these cases, the best BLAT hit (which \
differed from the published sno/scaRNA sequence by 1-3 nucleotides) was adopted.\
\
genes 1 color 200,80,0\
dataVersion miRBase Version 20 (Oct. 2013) and snoRNABase Version 3\
group genes\
longLabel C/D and H/ACA Box snoRNAs, scaRNAs, and microRNAs from snoRNABase and miRBase\
noScoreFilter .\
shortLabel sno/miRNA\
track wgRna\
type bed 8 +\
url http://www-snorna.biotoul.fr/plus.php?id=$$\
url2 http://www.mirbase.org/cgi-bin/query.pl?terms=$$\
url2Label miRBase:\
urlLabel Laboratoire de Biologie Moleculaire Eucaryote:\
visibility hide\
snpedia SNPedia bed 4 SNPedia 0 100 50 0 100 152 127 177 0 0 0
Description
\
\
\
SNPedia is a wiki investigating human\
genetics with information about the effects of variations in DNA, citing\
peer-reviewed scientific publications.\
\
SNPedia all: SNPedia all SNPs (including empty pages)
\
\
The track "SNPedia all" shows all SNPs that exist as a page in \
SNPedia.com. As SNPedia's user collaboration grows, more \
detail will be added to SNPedia.com pages. For now, most of the pages are auto-generated by bots \
and have empty pages. According to Mike Carioso (SNPedia.com founder), SNPedia entries are mostly \
ClinVar entries marked as pathogenic with at least 4 stars as defined by the\
\
ClinVar review status. \
\
\
SNPedia with text: SNPedia pages with manually typed text
\
\
The track "SNPedia with text" is a subset of the "SNPedia all" track. This track \
displays only SNPedia entries with a text page that was created manually by a user who typed in \
some text (approximately 5,000 entries). In the browser, click on the "configure" button\
and select "next/previous item navigation" to show clickable arrows in the browser which\
will jump to the next or previous item.\
\
\
Clicks on the features show the text from the SNPedia.com page and a link to the original page.\
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of SNPedia entries are labeled with the dbSNP ID.\
\
\
\
In the track "SNPedia all SNPs", the features are colored based on the SNPedia microarray \
annotation: grey for SNPs that are on no microarray, dark blue for Affymetrix, dark purple for \
Illumina and black for features on both arrays.\
\
\
Methods
\
\
\
The mappings displayed in this track were used as provided in the SNPedia GFF file.\
For the "SNPedia with text" track, all SNPedia pages were downloaded and their content \
checked with a script that tries to remove pages that were auto-generated and not created manually \
by a user.\
\
\
Credits
\
\
\
Thanks to Mike Cariaso for help with the GFF download and Max Haeussler at UCSC for building this \
track.\
\
\
phenDis 1 color 50,0,100\
compositeTrack on\
group phenDis\
longLabel SNPedia\
shortLabel SNPedia\
track snpedia\
type bed 4\
visibility hide\
gnomADPextSpleen Spleen bigWig 0 1 gnomAD pext Spleen 0 100 119 136 85 187 195 170 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/Spleen.bw\
color 119,136,85\
longLabel gnomAD pext Spleen\
parent gnomadPext off\
shortLabel Spleen\
track gnomADPextSpleen\
visibility hide\
wgEncodeCaltechRnaSeqViewSplices Splice Juctions bam RNA-seq from ENCODE/Caltech 0 100 0 0 0 127 127 127 0 0 0 expression 1 bamColorMode off\
bamGrayMode aliQual\
baseColorDefault diffBases\
baseColorUseSequence lfExtra\
indelDoubleInsert on\
indelQueryInsert on\
longLabel RNA-seq from ENCODE/Caltech\
parent wgEncodeCaltechRnaSeq\
shortLabel Splice Juctions\
showDiffBasesAllScales .\
showDiffBasesMaxZoom 100\
showNames on\
track wgEncodeCaltechRnaSeqViewSplices\
type bam\
view Splices\
visibility hide\
wgEncodeCshlLongRnaSeqViewJunctions Splice Junctions bed 3 Long RNA-seq from ENCODE/Cold Spring Harbor Lab 0 100 0 0 0 127 127 127 0 0 0 expression 1 longLabel Long RNA-seq from ENCODE/Cold Spring Harbor Lab\
parent wgEncodeCshlLongRnaSeq\
scoreFilterLimits 0:1000\
shortLabel Splice Junctions\
track wgEncodeCshlLongRnaSeqViewJunctions\
view Junctions\
visibility hide\
wgEncodeSydhNsome Stanf Nucleosome bed 3 Nucleosome Position by MNase-seq from ENCODE/Stanford/BYU 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
Nucleosomes are part of the first level of chromatin packaging. They each consist of a histone heterooctamer around which DNA wraps 1.6 times. The histone heterooctomamer is made up of two copies of histones 2A, 2B, 3 and 5. The segment of DNA wrapped around the histones, the so-called "core" fragment, is 147 base pairs long. Neighboring nucleosomes are separated from one another by a stretch of DNA called the "linker," whose size varies depending on organism, cell type, and even chromatin activity. Certain chromatin remodeling factors govern accessibility of DNA to regulatory proteins by repositioning nucleosomes to reveal regulatory sites that would otherwise be occluded by a nucleosome.\
\
\
In contrast to histone modifications such as methylation or acetylation, which are investigated by ChIP-seq, nucleosome positioning data are generated without immunoprecipitation (see Methods below). Instead, micrococcal nuclease is used to digest chromatin to apparent completion, the (well-defined and clearly visible) mononucleosomal core fragment fraction is isolated by gel purification, and one end is then sequenced. Mapping the sequence tag back to the genome reveals the precise position of one end of the core fragment that was protected by the nucleosome; the position of the other end can then simply be inferred by extending the read to a virtual length of 147 bases. Statistical analyses such as occupancy and positioning stringency can then be employed to analyze the local nucleosome landscape anywhere in the (mappable) genome or to infer global parameters of nucleosome organization.\
\
\
In the context of the ENCODE project, nucleosome positioning data are particularly valuable for analysis of the relationship between transcription factor binding, histone modifications, and gene activity.\
\
\
For a general primer on these types of data and analyses, refer to Valouev et al. (2008).\
\
\
Display Conventions and Configuration
\
\
\
\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide.
\
\
\
Signal
Density graph (wiggle) of signal enrichment based on\
processed data. Signals displayed in this track are the results of pooled replicates.
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
To isolate mononucleosome core DNA fragments from the GM12878 and K562\
ENCODE cell lines we followed the micrococcal nuclease (MNase) digestion and\
isolation protocol as described in Johnson et al. (2006), Valouev et al. (2008), and\
Valouev et al. (2011) with the following modifications. The precise concentrations of the\
two flash-frozen cell samples received from the Snyder Lab were not known so, per our\
standard procedure, we performed a series of digestions titrating the amount of MNase\
to determine the concentration of MNase for optimal digestion of each sample. Final\
concentrations of 25 U/μL and 50 U/μL of MNase were used to digest the GM12878\
cells and K562 cells respectively at 20°C for 12 min. All other steps in the digestion and\
isolation protocol were as described.\
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
K562 and GM12878 were each grown to ~2.5×108 cells. The cells were harvested, frozen and \
the nucleosome core isolation followed (Valouev et al. 2008).\
\
\
The SOLiD reads were mapped in color-space with the probabilistic mapper,\
DNAnexus. The DNAnexus mapper measures and propagates mapping uncertainty by including both quality values and mismatches in the alignment score calculation. The scores are then scaled across all possible mappings of the read to estimate the posterior probability for alignment to each genomic location. Reads corresponding to posterior probability of correct mapping > 0.9 were reported. \
\
\
Nucleosome density signal maps (bedgraph and bigwig files) were generated by \
first shifting reads by 74 bp in the 5´ to 3´ direction and counting \
the total number of reads starting at each genomic coordinate on both strands. \
These counts are then smoothed using un-normalized kernel density smoothing \
with a triweight kernel. A bandwidth of 30 bp is used which is equivalent to \
a smoothing window of 60 bp. The smoothed counts at each position are then \
divided by the expected number of reads from an equivalent uniform distribution \
of reads in a ± 30 bp window around that position. If less than 25% \
of the positions in a ± 30 bp window around a genomic location are \
uniquely mappable or if the location is part of an assembly gap, the signal \
value at that position is considered unreliable and not recorded in the signal \
files. Hence, genomic coordinates that do not have any associated signal value \
should be considered missing or unreliable data. Genomic coordinates associated \
with a signal value of 0 are reliably mapable but do not have any signal in the dataset.\
\
\
Verification
\
\
The data were validated by pooling together separate runs\
to give sufficient sequencing depth for a reasonable signal\
to noise ratio. Verification that each replicate\
shows similar strand-cross correlation profiles with a strong\
peak at approximately 147 bp indicates that the predominant fragment\
length is equal to the typical size of a mononucleosome.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column on the track configuration page and\
the download page. The full data release policy for ENCODE is available\
here.
This track shows locations of Sequence Tagged Site (STS) markers\
along the draft assembly. These markers have been mapped using either\
genetic mapping (Genethon, Marshfield, and deCODE maps), radiation\
hybridization mapping (Stanford, Whitehead RH, and GeneMap99 maps) or\
YAC mapping (the Whitehead YAC map) techniques. Since August 2001,\
this track no longer displays fluorescent in situ hybridization (FISH)\
clones, which are now displayed in a separate track.
\
\
Genetic map markers are shown in blue; radiation hybrid map markers\
are shown in black. When a marker maps to multiple positions in the\
genome, it is shown in a lighter color.
\
\
Methods
\
Positions of STS markers are determined using both full sequences\
and primer information. Full sequences are aligned using blat,\
while isPCR (Jim Kent) and ePCR are used to find\
locations using primer information. Both sets of placements are\
combined to give final positions. In nearly all cases, full sequence\
and primer-based locations are in agreement, but in cases of\
disagreement, full sequence positions are used. Sequence and primer\
information for the markers were obtained from the primary sites for\
each of the maps, and from NCBI UniSTS (now part of NCBI\
Probe).\
\
Using the Filter
\
The track filter can be used to change the color or include/exclude\
a set of map data within the track. This is helpful when many items\
are shown in the track display, especially when only some are relevant\
to the current task. To use the filter: \
\
In the pulldown menu, select the map whose data you would like to\
highlight or exclude in the display. By default, the "All\
Genetic" option is selected.\
Choose the color or display characteristic that will be used to\
highlight or include/exclude the filtered items. If\
"exclude" is chosen, the browser will not display data from\
the map selected in the pulldown list. If "include" is\
selected, the browser will display only data from the selected map.\
\
When you have finished configuring the filter, click the\
Submit button.
\
\
Credits
\
This track was designed and implemented by Terry Furey. Many\
thanks to the researchers who worked on these maps, and to Greg\
Schuler, Arek Kasprzyk, Wonhee Jang, and Sanja Rogic for helping\
process the data. Additional data on the individual maps can be found\
at the following links:\
\
\
map 1 altColor 128,128,255,\
group map\
longLabel STS Markers on Genetic (blue) and Radiation Hybrid (black) Maps\
shortLabel STS Markers\
track stsMap\
type bed 5 +\
visibility hide\
wgEncodeUwRepliSeqViewSumSignal Summed Densities bed 3 Replication Timing by Repli-seq from ENCODE/University of Washington 0 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Replication Timing by Repli-seq from ENCODE/University of Washington\
parent wgEncodeUwRepliSeq\
shortLabel Summed Densities\
track wgEncodeUwRepliSeqViewSumSignal\
view v5SumSignal\
viewLimits 0:2500\
visibility hide\
windowingFunction mean+whiskers\
wgEncodeSunyAlbanyGeneSt SUNY RIP GeneST broadPeak RNA Binding Protein Associated RNA by RIP-chip GeneST from ENCODE/SUNY Albany 1 100 0 0 0 127 127 127 1 0 0
Description
\
This track is produced as part of the ENCODE Project.\
This track displays transcriptional fragments associated with RNA binding proteins in different\
cell lines\
using RIP-Chip (Ribonomic) profiling on Affymetrix GeneChip® Human Gene 1.0 ST Arrays.\
These sutracks show the genomic location of transcripts associated with the array probes.\
Data for this track was produced as part of the\
\
Encyclopedia of DNA Elements (ENCODE) Project.\
\
\
\
\
In eukaryotic organisms, gene regulatory networks require an additional\
level of coordination that links transcriptional and post-transcriptional\
processes. Messenger RNAs have traditionally been viewed as passive\
molecules in the pathway from transcription to translation. However,\
it is now clear that RNA-binding proteins play a major role in\
regulating multiple mRNAs in order to facilitate gene expression patterns.\
These tracks show the associated mRNAs that co-precipitate with the\
targeted RNA-binding proteins using RIP-Chip profiling.\
\
\
\
Display Conventions and Configuration
\
This track has multiple subtracks that display individually in the browser.\
The subtracks within this track correspond to different antibodies/target\
proteins tested in different cell lines.\
These subtracks show the genomic location of the mRNA transcripts associated with RNA Binding \
Proteins as determined by the Affymetrix GeneChip® Human Gene 1.0 ST Array probes.\
Items are shaded by p-value using the formula (maxPossibleScore-((maxPossibleScore/cutOffValue)*pValue))\
so that items with more significant expression levels are shaded darker. The p-values are\
displayed in the browser convention as -log10(pValue).\
\
\
Methods
\
RBP-mRNA complexes were purified from cells grown according to the approved\
ENCODE cell culture protocols.\
Antibodies specific to the RNA Binding Protein (RBP) in question were first coated onto protein A/G containing \
magnetic beads and then used to immunoprecipitate the targeted, endogenously-formed mRNP complexes. Antibody-coated\
beads were incubated/tumbled with cell lysate overnight in the cold followed by extensive rinsing and subsequent \
purification of associated RNA using Phenol/Chloroform extraction and ethanol precipitation.\
The associated transcripts were identified using GeneChip® Human Gene 1.0 ST Arrays.\
Arrays were analyzed using Agilent's GeneSpringGX software (version 11.0).\
\
\
Arrays were analyzed a group at a time by applying the Iterative PLIER16 algorithm using quantile normalization.\
Probesets whose normalized expression levels (signal value) fell within the 18 to 98 percentile in at least two of the three replicates\
were retained for further analysis. A TTest (T7-Tag and RIP-Input) or a one-way ANOVA (samples and controls)\
was applied to these probesets and a p-value cutoff of .05 was applied. The Benjamini-Hochberg false discovery rate \
algorithm was then applied to generate corrected p-values, also known as q-values.\
\
\
\
The RIP-Input was summarized first and selected probesets were retained for further analysis.\
Next, the arrays for T7Tag (background/negative control) RIPs were summarized with those retained RIP-input probesets.\
Probesets that fit the above criteria for either group (RIP-Input or T7Tag)\
were then filtered for those that showed a minimum 2 fold increase of expression in T7Tag versus RIP-Input.\
Finally, \
arrays for treatment RIP samples were summarized together with those for RIP-inputs and T7Tag RIPs. Probesets that fit the above \
criteria for any group (RIP-Input or T7Tag or samples) were\
then filtered for probesets that showed a minimum 2 fold increase of expression in treatment over total.\
A similar list was produced for probesets showing the same enrichment in the T7Tag RIP set. Probesets which appeared in both\
treatment and negative control at these cutoff stringencies were subtracted from the treatment results as background noise, yielding the final data track.\
\
\
Verification
\
\
All experiments (including controls) were performed in and analyzed as triplicates.\
\
\
Release Notes
\
Release 2 (September 2011) of this track corrects the scores and the calculated P and Q values.\
In this release, the calculated P and Q values are -log10(P) and -log10(Q), and the scores,\
and therefore the shading of items, reflect the p-values as described in the Display Conventions\
and Configuration section above.\
\
Credits
\
\
These data were produced and analyzed by a collaboration between the\
\
Tenenbaum lab\
at the University at Albany-SUNY, College of Nanoscale\
Science and Engineering, the\
\
Luiz Penalva group\
at the Greehey Children's Cancer Research Institute,\
University of Texas Health Science Center and the\
\
Microarray Core Facility at the Center for Functional Genomics, Rensselaer, NY .\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
This track is produced as part of the ENCODE Project.\
This track displays transcriptional fragments associated with RNA binding proteins in different\
cell lines,\
using RIP-Chip (Ribonomic) profiling on Affymetrix GeneChip ENCODE 2.0R Tiling Arrays.\
The RBP Assoc RNA view shows the genomic location of transcripts\
associated with the array probes.\
Data for this track was produced as part of the\
\
Encyclopedia of DNA Elements (ENCODE) Project.\
\
\
\
\
In eukaryotic organisms, gene regulatory networks require an additional\
level of coordination that links transcriptional and post-transcriptional\
processes. Messenger RNAs have traditionally been viewed as passive\
molecules in the pathway from transcription to translation. However,\
it is now clear that RNA-binding proteins play a major role in\
regulating multiple mRNAs in order to facilitate gene expression patterns.\
These tracks show the associated mRNAs that co-precipitate with the\
targeted RNA-binding proteins using RIP-Chip profiling.\
\
\
\
Display Conventions and Configuration
\
This track is a multi-view composite track. For each view there\
are multiple subtracks that display individually in the browser.\
The subtracks within this track correspond to different antibodies/target\
proteins tested in different cell lines.\
This track is initially released with a single view:\
\
\
RBP Assoc RNA\
The RBP Assoc RNA view shows the genomic extent of the transcriptional segments\
associated with the Affymetrix Tiling Array probes.\
\
Instructions for configuring multi-view tracks are\
\
here.\
\
Methods
\
RBP-mRNA complexes were purified from cells grown according to the approved\
ENCODE cell culture protocols .\
The associated transcriptional fragments were identified using Affymetrix GeneChip ENCODE 2.0R Tiling Arrays.\
Arrays were analyzed using Affymetrix Tiling Analysis Software (TAS) version 1.1.\
\
\
Total Input and T7Tag (negative control)\
tracks were each developed by single sample analysis of their respective triplicate sets with quantile normalization and linear\
scaling applied. Probe signals were calculated using the Hodges-Lehmann estimator with a bandwidth of 100 bases.\
Resulting signal files were examined to develop percentiles. Interval analysis was performed using a minimum cut-off\
equal to the 95th percentile signal score, a minimum run of 21 (3 * platform resolution) and max gap of 63 (9 * platform resolution).\
\
\
Treatment RIP tracks (e.g., ELAVL1, PABC1) were developed by two sample analysis with T7Tag used as\
the control. Quantile normalization and scaling was applied to these sample groups individually.\
Probe signals were calculated with the Hodges-Lehmann estimator using signal log (log2) ratios and a bandwidth of 100 bases.\
Resulting signal files were examined to develop percentiles. Interval analysis was performed using a minimum cut-off\
equal to the 95th percentile signal ratio score, a minimum run of 21 (3 * platform resolution) and max gap of 63 (9 * platform resolution).\
\
\
For additional RIP methods detail, see\
Tenenbaum et al. 2002; Baroni et al. 2008; Penalva\
et al. 2004, below.\
\
\
\
Verification
\
\
\
All experiments (including controls) performed in and analyzed as triplicates.\
\
\
Credits
\
\
These data were produced and analyzed by a collaboration between the\
\
Tenenbaum lab\
at the University at Albany-SUNY, College of Nanoscale\
Science and Engineering, the\
\
Luiz Penalva group\
at the Greehey Children's Cancer Research Institute,\
University of Texas Health Science Center and the\
\
Microarray Core Facility at the Center for Functional Genomics, Rensselaer, NY .\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
The RNA binding protein (RBP) associated mRNA sequencing track (RIP-Seq) is produced as part of\
the Encyclopedia of DNA Elements (ENCODE) Project.\
This track displays transcriptional fragments associated with RBP in \
cell lines K562 and GM12878,\
using Ribonomic profiling via Illumina SBS.\
\
\
In eukaryotic organisms gene regulatory networks require an additional\
level of coordination that links transcriptional and post-transcriptional\
processes. Messenger RNAs have traditionally been viewed as passive\
molecules in the pathway from transcription to translation. However,\
it is now clear that RNA-binding proteins play a major role in\
regulating multiple mRNAs in order to facilitate gene expression patterns.\
These tracks show the associated mRNAs that co-precipitate with the\
targeted RNA-binding proteins using RIP-Seq profiling.\
\
\
\
Display Conventions and Configuration
\
This track is a multi-view composite track. For each view there\
are multiple subtracks that display individually in the browser.\
The subtracks within this track correspond to different antibodies/target\
proteins tested in different cell lines.\
\
\
\
\
Peaks\
The Peaks view shows the genomic extent of the sequencing read peaks.\
\
Signal\
Density graph of signal enrichment based on a normalized aligned read density\
(Read Per Million, RPM). RPM is reported in the score field and is equal to the number of reads at\
that position divided by the total number of reads divided by one million. The Signal view is\
unflitered and displays dense, continuous data as a graph and the RPM measure assists in\
visualizing the relative amount of a given transcript across multiple samples.
\
\
Alignments\
The Alignments view shows reads mapped to the genome.\
The alignment file follows the standard SAM format of Bowtie output. \
See the\
Bowtie Manual\
for more information about the SAM Bowtie output and the\
SAM Format Specification\
for more information on the SAM/BAM file format. \
\
\
\
Instructions for configuring multi-view tracks are\
here.\
\
\
Peaks were called from the top 40% of TopHat normalized reads,\
with a max gap, min run of (24:48).\
Unions of overlapping peak regions from total RNA replicates (RIP-Input) are presented with p-value \
from a one tailed t-test for average signal from replicates versus 0 \
(no cut-off was used for totals). Replicate overlap for positive RIP treatment peaks (ELAVL1 and PABPC1) \
are presented with a p-value from one tailed t-test versus signal for same the region in negative \
control replicates (T7-tag). RIP peaks were from sequences longer than 120 bp and p-value < .05.\
For both totals (RIP-input) and RIPs, the peak scores are scaled relative p-values between treatment and control.\
\
\
\
Credits
\
These data were produced and analyzed by a collaboration between the\
Tenenbaum lab at the University at Albany-SUNY, College of Nanoscale\
Science and Engineering,the \
Luiz Penalva group at the Greehey Children's Cancer Research Institute,\
University of Texas Health Science Center and the \
Microarray Core Facility at the Center for Functional Genomics, Rensselaer, NY.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
In eukaryotic organisms gene regulatory networks require an additional\
level of coordination that links transcriptional and post-transcriptional\
processes. Messenger RNAs have traditionally been viewed as passive\
molecules in the pathway from transcription to translation. However,\
it is now clear that RNA-binding proteins play a major role in\
regulating multiple mRNAs in order to facilitate gene expression patterns.\
These tracks show RNA binding protein associated (predicted via RIP-chip) mRNA 3' UTRs\
whose attachment to a reporter gene led to a change of that reporter's\
expression when the associated RBP's level was altered. This experiment was proposed as\
a validation for the data found in SUNY RBP\
which is the precursor to the hg19 track SUNY GeneST.\
It was done on a small set of targets chosen from the earliest RIP arrays. \
\
\
\
Display Conventions and Configuration
\
This is a composite track containing multiple subtracks that display individually \
in the browser. The subtracks within this track correspond to different\
mRNA 3' UTRs attached to a reporter and tested for a response to a change in a particular\
RNA binding protein's level.\
To display only selected subtracks, uncheck the boxes next to the tracks you wish to hide.\
\
\
Methods
\
\
IGF2BP1 targets were identified by RIP-chip and cross referenced with Switchgear's 3' UTR luciferase reporter clone inventory.\
50 ng of putative IGF2BP1 target 3'UTR reporter DNA was individually co-transfected with either 20 ng IGF2BP1(IMP1) cDNA (Origene, SC116030)\
or alone (untreated). Each transfection was performed in triplicate. The DNA was combined with FuGene transfection reagent (Roche)\
and allowed to complex for 30 minutes before being added to 7500 HT-1080 (ATCC) cells resuspended in warmed, complete media before\
being aliquotted into 96 well plates. Cells were returned to the incubator for 24 hours before 100 uL SteadyGlo Luciferase assay reagent\
was added to each well. The plate was incubated for 30 minutes before being read on a LmaxII-384 luminometer. Signals were normalized using\
controls and significance of treatment versus control was calculated via a two-tailed t-test.\
\
\
ELAVL1 targets were identified by RIP-chip and cross referenced with SwitchGear's 3' UTR luciferase reporter clone inventory.\
We seeded 5,000 HT-1080 cells into 96-well plates the day before transfection and incubated overnight. 50 ng of putative ELAVL1 target 3'UTR\
reporter DNA was individually co-transfected with either 10ng ELAVL1(HuR) cDNA ( Origene, SC119271) or alone (untreated). Each transfection\
was performed in triplicate. The DNA was combined with FuGene transfection reagent (Roche) and allowed to complex for 30 minutes before being\
added to 7500 HT-1080 (ATCC) cells resuspended in warmed, complete media before being aliquotted into 96 well plates. Cells were returned to\
the incubator for 24 hours before 100 uL SteadyGlo Luciferase assay reagent was added to each well. The plate was incubated for 30 minutes before\
being read on a LmaxII-384 luminometer. Signals were normalized using controls and significance of treatment versus control was calculated via a\
two-tailed t-test.\
\
All experiments (including controls) performed in and analyzed as triplicates.\
\
\
Credits
\
\
These data were produced and analyzed by a collaboration between the\
\
Tenenbaum lab\
at the University at Albany-SUNY, College of Nanoscale\
Science and Engineering, and\
\
SwitchGear Genomics.\
\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
This track describes the location of transcription start sites (TSS) throughout\
the human genome along with a confidence measure for each TSS based on\
experimental evidence. The TSSs of a gene are important landmarks that help \
define the promoter regions of a gene. These TSSs were determined by \
SwitchGear Genomics\
by integrating experimental data using an empirically derived scoring \
function. Each TSS has a unique identifier that associates it with a gene model \
(see details below), and each TSS is color-coded to reflect its confidence\
score.\
\
\
\
These TSSs are also available in a searchable format at \
SwitchDB,\
an open-access online database of human TSSs. Expermental tools are available \
through \
SwitchGear\
to study the function of the promoter regions associated with\
these TSSs.
\
\
Methods
\
\
The predicted TSSs are associated with a genome-wide set of gene models.\
SwitchGear gene models are defined as clusters of cDNA alignments that have\
overlapping exons on the same strand. These gene models were created from over\
250,000 human cDNA alignments to construct a genome-wide set of ~37,000 gene\
models. Each gene model is identified by its chromosome number, strand, and\
unique identifier. For example, ID CHR7_P0362 \
indicates a cDNA cluster (0362) aligning to the plus strand (P) of\
chromosome 7 (CHR7). Existing gene annotation is mapped to the gene models \
through the NCBI annotation associated with Refseq accession numbers.\
\
\
\
The SwitchGear TSS prediction algorithm identifies the most likely sites of\
transcription initiation for each gene model. The algorithm employs a scoring\
metric to assign a confidence level to each TSS prediction based on existing\
experimental evidence. In addition to the ~250,000 human cDNAs listed in \
Genbank, more than 5 million additional 5' human cDNA sequence tags have been\
generated using a combination of approaches. While these short sequence reads do\
not reveal gene structure, they provide a significant amount of experimental\
evidence for identifying transcript start sites. For each gene model, the\
algorithm counts the number of TSSs (defined as the 5' end of a cDNA) within\
200 bp of one another. The TSS score is based on the total number of TSSs\
identified within this window, with each TSS weighted according to several\
discriminating features: cDNA library source, relative location within the gene\
model, and exon structure of the transcript. Furthermore, the TSSs for each\
gene model are ranked to identify the TSS representing the most likely\
transcription initiation site for a gene model. Rankings are indicated in the\
TSS unique identifier by the addition of a suffix (i.e. CHR7_P0362_R1 or \
CHR7_P0362_R2).\
\
\
Using the Filter
\
\
This track has a filter that can be used to change the TSS elements displayed \
by the browser. This filter is based on the score of the TSS element. The \
filter is located at the top of the track description page, which is accessed \
via the small button to the left of the track's graphical display or through \
the link on the track's control menu. By default the track displays only those \
TSSs with a score of 10 or above.\
\
\
\
By default, the TSSs for predicted pseudogenes are not displayed. If you would \
like to display them, check the box next to the Include TSSs for predicted \
pseudogenes label.\
\
\
\
When you have finished configuring the filter, click the Submit button.\
\
\
Credits
\
\
This track was created by Nathan Trinklein and Shelley Force Aldred of \
SwitchGear Genomics.\
\
regulation 1 group regulation\
longLabel SwitchGear Genomics Transcription Start Sites\
origAssembly hg17\
pennantIcon 17.jpg ../goldenPath/help/liftOver.html "lifted from hg17"\
shortLabel SwitchGear TSS\
track switchDbTss\
type bed 6 +\
visibility hide\
wgEncodeSydhHistone SYDH Histone bed 3 Histone Modifications by ChIP-seq from ENCODE/Stanford/Yale/USC/Harvard 1 100 0 0 0 127 127 127 0 0 0
Description
\
This track, produced as part of the ENCODE Project,\
displays maps of histone modifications genome-wide using ChIP-seq in different\
cell lines.\
The ChIP-seq method involves first using formaldehyde\
to cross-link histones and other DNA-associated proteins to genomic DNA \
within cells. The cross-linked chromatin is subsequently extracted, \
sheared, and immunoprecipitated using specific antibodies. \
After reversal of cross-links, the immunoprecipitated DNA is\
sequenced and mapped to the human reference genome. The relative \
enrichment of each antibody-target (epitope) across the genome is \
inferred from the density of mapped fragments.\
\
\
Chemical modifications (e.g. methylation or acetylation) of \
the histone proteins present in chromatin influence gene expression\
by changing how accessible the chromatin is to transcription factors.\
Shown for each\
experiment (defined as a particular antibody and a particular\
cell type) is a track of enrichment for the specifically modified\
histone (Signal), along with sites that have the\
greatest enrichment (Peaks). Also, included for each\
cell type is the input signal, which represents the\
control condition where no antibody targeting was performed.\
In general, the following chemical modifications have associated genetic\
phenotypes:\
\
\
H3K4me3 and H3K9ac are considered to be marks of active\
or potentially active promoter regions
\
H3K4me1 and H3K27ac are\
considered to be marks of active or potentially active enhancer\
regions\\
\
H3K36me3 and H3K79me2 are considered to be marks of\
transcriptional elongation
\
H3K27me3 and H3K9me3 are\
considered to be marks of inactive regions.
\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
\
For each cell type, this track contains the following views:\
\
Peaks
\
Regions of signal enrichment based on processed data (usually normalized data from pooled replicates).
\
Signal
\
Density graph (wiggle) of signal enrichment based on aligned read density.
\
\
\
Peaks and signals displayed in this track are the results of pooled replicate\
sequence. Alignment files for each replicate are available for\
download.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Briefly, cells were cross-linked, chromatin was extracted and sonicated\
using a Bioruptor sonicator (Diagenode) to an average size of 300-500 bp,\
and individual ChIP assays were performed using antibodies to modified histones.\
For the K562, MCF-7, HCT-116, NTera-2 (NT2-D1), PANC-1 and PBMC histone ChIP-seq samples, immunoprecipitates were \
collected using protein G-coupled magnetic beads; a detailed\
ChIP and library\
protocol\
can be found at the Roadmap Epigenome Project.\
For the U2OS histone ChIP-seq samples, immunoprecipitates were collected using \
StaphA cells.\
\
Library DNA was quantitated using either a Nanodrop or a BioAnalyzer and sequenced on an Illumina GA2. \
\
\
\
The sequencing reads were mapped to the genome using the Eland alignment program.\
ChIP-seq data was scored based on sequence reads (length ~30 bps) that align uniquely\
to the human genome. From the mapped tags, a signal map of ChIP DNA fragments\
(average fragment length ~ 200 bp) was constructed where the \
signal height is the number of overlapping fragments at each nucleotide position in the genome. \
\
\
\
For each 1 Mb segment of each chromosome, a peak height threshold was determined by\
requiring a false discovery rate <= 0.05 when comparing the number of peaks \
above threshold as compared to the number obtained from multiple simulations of \
a random null background with the same number of mapped reads\
(also accounting for the fraction of mapable bases for sequence tags in that 1 Mb segment).\
The number of mapped tags in a putative binding region is compared to the\
normalized (normalized by correlating tag counts in genomic 10 kb windows) \
number of mapped tags in the same region from an input DNA control. \
Using a binomial test, only regions that have a p-value <= 0.05 are considered \
to be significantly enriched compared to the input DNA control. \
\
\
Release Notes
\
\
This is Release 3 (June 2012) of this track, which adds 9 new experiments for the MCF-7, HCT-116 and PANC-1 cell lines. \
\
\
\
Credits
\
\
\
These data were generated and analyzed by the labs of Peggy Farnham\
(USC/Norris Cancer Center; previously at UC Davis) and Michael Snyder\
at Stanford University.\
\
\
Contact:\
Peggy Farnham\
\
for questions concerning data collection and usage \
and \
Philip Cayting\
\
for data scoring and submission inquiries.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
The tracks show enrichment of RNA sequence tags generated by\
high throughput sequencing (RNA-seq) and mapped to the human\
genome. Double stranded cDNA was synthesized from\
polyadenylated RNA (polyA+) . \
PCR amplified, adapter ligated cDNA, 150-300nt\
long, was sequenced on an Illumina GA sequencer.\
\
\
Where designated, cell lines received specific treatments prior to\
RNA isolation. As indicated, K562 cells were treated with either\
interferon-a or interferon-g for 30 minutes or 6 hours. These\
experiments were carried out in conjunction with ChIP-Seq\
experiments on the transcription factors STAT1 and STAT2 in order\
to examine the effects that inducers of a specific transcriptional\
response might have on gene expression and on transcription factor\
binding site discovery. K562 cells were treated with a-amanitin in\
order to examine the effects of RNA polymerase II inhibition on RNA\
polymerase III-mediated transcription.\
\
\
This track shows expression data generated as confirmation\
of the\
\
SYDH TFBS\
tracks currently available on genome-preview.\
\
\
\
Display Conventions and Configuration
\
\
This is a composite track that contains multiple data types\
(views). Instructions for configuring composite\
tracks are here.\
\
\
Raw Signal
Density graph (wiggle) of signal enrichment.
\
Alignments\
The Alignments view shows reads mapped to the genome and indicates where\
bases may mismatch. The alignment file follows the standard SAM format of Bowtie output with the\
following additions: the custom tags X0 X1 XN XM XO XG XT XA XS XF XE are present. These tags are\
described by the\
BWA specifications.\
See the\
Bowtie Manual\
for more information about the SAM Bowtie output (including other tags) and the\
SAM Format Specification\
for more information on the SAM/BAM file format. \
\
\
\
Methods
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
\
Total RNA was extracted using TRIzol reagents\
(15596-018, Life Tech), following the manufacturer's protocol.\
For polyA+ samples, polyadenylated RNA was purified using the\
MicroPoly(A) Purist kit (AM1919, Life Tech) and fragmented using\
RNA Fragmentation Reagent (AM8740, Life Tech). Illumina adapters\
were ligated to double stranded cDNA which was synthesized using\
reagents from Life Tech (11917-010).\
\
\
\
PCR amplified adapter ligated cDNA (150-300 bp) was sequenced\
using Illumina GA. Sequence reads of 27-33nt long with 0-2\
mismatches were mapped to the genome. The signal height\
corresponds to the number of overlapping fragments at each\
nucleotide position in the genome. Samples originally mapped to the\
hg18 version of the human genome were remapped to hg19 using\
the BWA aligner, version 0.5.7.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column on the track configuration page and\
the download page. The full data release policy for ENCODE is available\
here.
This track shows probable binding sites of the specified transcription\
factors (TFs) in the given cell types as determined by chromatin\
immunoprecipitation followed by high throughput sequencing (ChIP-seq).\
Included for each cell type is the input signal, which represents the control\
condition where no antibody targeting was performed.\
For each experiment (cell type vs. antibody) this track shows\
a graph of enrichment for TF binding (Signal), along with\
sites that have the greatest evidence of transcription factor binding (Peaks).\
\
The sequence reads, quality scores, and alignment coordinates from\
these experiments are available for download.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
ENCODE tracks typically contain one or more of the following views:\
\
Peaks
Regions of signal enrichment based on processed data\
(normalized data from pooled replicates). ENCODE Peaks tables contain\
fields for statistical significance,\
including the minimum false discovery rate (FDR) threshold at which the test may be called significant\
(qValue).
\
Signal
Density graph (wiggle) of signal enrichment based on\
processed data.
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Further preparations were similar to those previously published\
(Euskirchen et al., 2007) with the exceptions that the cells\
were unstimulated and sodium orthovanadate was omitted from the buffers.\
For details on the chromatin immunoprecipitation protocol used, see\
(Euskirchen et al., 2007) and (Rozowsky et al., 2009).\
\
\
DNA recovered from the precipitated chromatin was sequenced on the Illumina (Solexa)\
sequencing platform and mapped to the genome using the Eland alignment program.\
ChIP-seq data was scored based on sequence reads (length ~30 bp) that align uniquely\
to the human genome. From the mapped tags a signal map of ChIP DNA fragments\
(average fragment length ~ 200 bp) was constructed where the signal height is the number of\
overlapping fragments at each nucleotide position in the genome.\
\
\
For each 1 Mb segment of each chromosome a peak height threshold was\
determined by requiring a false discovery rate less than or equal to 0.05 when comparing the\
number of peaks above threshold as compared the number obtained from multiple\
simulations of a random null background with the same number of mapped\
reads (also accounting for the fraction of mapable bases\
for sequence tags in that 1 Mb segment). The number of mapped tags in a putative\
binding region is compared to the normalized (normalized by correlating tag\
counts\
in genomic 10 kb windows) number of mapped tags in the same region from an input DNA control.\
Using a binomial test, only regions that have a p-value less than or equal to 0.05 are considered to be\
significantly enriched compared to the input DNA control.\
\
\
Release Notes
\
\
This is Release 3 (August 2012). This release adds in 37 new experiments including 1 new cell line and 7 new antibodies.\
\
Euskirchen G, Royce TE, Bertone P, Martone R, Rinn JL, Nelson FK, Sayward F, Luscombe NM, Miller P, Gerstein M et al.\
\
CREB binds to multiple loci on human chromosome 22.\
Mol Cell Biol. 2004 May;24(9):3804-14.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column on the track configuration page and\
the download page. The full data release policy for ENCODE is available\
here.
\
This track contains the location and score of transcription factor\
binding sites conserved in the human/mouse/rat alignment. A binding\
site is considered to be conserved across the alignment if its score\
meets the threshold score for its binding matrix in all 3 species.\
The score and threshold are computed with the Transfac Matrix Database (v7.0) created by\
Biobase. \
The data are purely computational, and as such not all binding sites\
listed here are biologically functional binding sites.\
\
\
In the graphical display, each box represents one conserved putative tfbs. Clicking on\
a box brings up detailed information on the binding site, namely its\
Transfac I.D., a link to its Transfac Matrix (free registration with Transfac\
required), its location in the human genome (chromosome, start, end,\
and strand), its length in bases, its raw score, and its Z score.\
\
\
All binding factors that are known to bind to the particular binding matrix \
of the binding site\
are listed along with their species, SwissProt ID, and a link to that\
factor's page on the UCSC Protein Browser if such an entry exists.\
\
\
Methods
\
\
\
The Transfac Matrix Database (v.7.0) contains position-weight matrices for \
398 transcription factor binding sites, as characterized through\
experimental results in the scientific literature. Only binding matrices\
for known transcription factors in human, mouse, or rat were used for this\
track (258 of the 398). A typical (in this\
case ficticious) matrix (call it mat) will look something like:
\
The above matrix specifies the results of 60 (the sum of each row)\
experiments. In the experiments, the first position of the binding site\
was A 15 times, C 15 times, G 15 times, and T 15 times (and so on for\
each position.) The consensus sequence of the above binding site as\
characterized by the matrix is NNGAT. The format of the consensus sequence\
is the deduced consensus in the IUPAC 15-letter code.\
\
\
In the general case, the goal is to find all matches to a matrix of length n\
that are conserved across ns sequences. For this example, n=5 and \
ns=3 (human, mouse, and rat.) Denote the multispecies alignment s,\
such that sji is the nucleotide at position j of species i. Also,\
define an ns x 4 background matrix (call it back) giving the background \
frequencies of each nucleotide in each species. A sliding window (of length n)\
calculates the "species score" for each species at each position:
\
\
\
From this, a log-odds score is calculated for each species (normalizing by the\
length of the matrix and the number of species in the alignment):
\
\
\
These scores are then summed for all species, yielding a final log-odds score for\
the current position:
\
\
\
Note that the log-odds score of each species must exceed the threshold for that \
species. The threshold is calculated for each species such that the only hits\
that will be reported will have a Z score (to be discussed later) of 1.64 or \
higher in each species (corresponding to a p-value of 0.05). Next, the maximum \
and minimum possible log-odds scores\
are computed and summed across all species for the given binding matrix:
\
\
\
These are then used to normalize the final, raw log-odds score so that its range is\
between 0 and 1:
\
\
Next, the best raw score for each binding matrix is calculated for the 5,000 base \
upstream region of each human RefSeq gene (taken from the RefGene table for hg19.)\
The mean and standard deviation for each binding matrix are then calculated across\
all RefSeq genes. These are then used to create the threshold for each binding matrix,\
namely, 1.64 standard deviations above the mean. Tfloc is then run with this threshold\
on each chromosome for the 3-way multiz alignments. Finally, a Z score is calculated \
for each binding site hit h to matrix m according to the following formula:
\
\
This final Z score can be interpreted as the number of standard deviations above the\
mean raw score for that binding matrix across the upstream regions of all RefSeq genes.\
The default Z score cutoff for display in the browser is 2.33 (corresponding to a p-value\
of 0.01.) This cutoff can be adjusted at the top of this page. \
\
\
After all hits have been recorded genome-wide, one final filtering step is performed.\
Due to the inherant redundancy of the Transfac database, several binding sites that\
all bind the same factor often appear together. For example, consider the following\
binding sites: \
\
\
These 10 overlapping binding sites bind a total of 19 factors. However,\
of these 19 factors, only 7 of them are unique. Many of the above \
binding sites are redundant (they add no additional factors). In fact, the first\
3 binding sites all bind the same two factors (namely, aMEF-2 and MEF-2A). These ten binding\
sites can therefore be filtered down to the following four binding sites, without any\
loss of information (in terms of transcription factors). The final table entry\
then has the following four lines, since these four binding sites account for\
all 7 of the unique factors: \
\
\
In the event that multiple binding sites bind the same factors, the site with \
the highest Z score is chosen. Only binding sites which overlap each other\
and whose start positions are within 5 bases of each other are considered for \
merging.\
\
\
It should be noted that the positions of many of these conserved binding\
sites coincide with known exons and other highly conserved regions.\
Regions such as these are more likely to contain false positive matches,\
as the high sequence identity across the alignment increases the likelihood of\
a short motif that looks like a binding site to be conserved. Conversely,\
matches found in introns and intergenic regions are more likely to be real\
binding sites, since these regions are mostly poorly conserved.\
\
\
These data were obtained by running the program tfloc (Transcription Factor binding \
site LOCater) on multiz46way alignments, restricting only to the July 2007 (mm9) mouse genome assembly, the November 2004 rat assembly (rn4), and the February 2009 human genome assembly (hg19). \
Transcription factor information was culled from the Transfac Factor\
database, version 7.0.\
\
Table Format
\
\
The format of the tfbsConsSites sql table is shown above.\
The columns are (from left to right): bin, chromosome, from, to, binding matrix ID, raw score,\
strand, and Z score.\
\
\
To get the corresponding transcription factor information for a given binding matrix, use the table\
tfbsConsFactors. The format of the tfbsConsFactors sql table is: \
\
\
V$MYOD_01 M00001 mouse MyoD P10085\
V$E47_01 M00002 human E47 N\
V$CMYB_01 M00004 mouse c-Myb P06876\
V$AP4_01 M00005 human AP-4 Q01664\
V$MEF2_01 M00006 mouse aMEF-2 Q60929\
V$MEF2_01 M00006 rat MEF-2 N\
V$MEF2_01 M00006 human MEF-2A Q02078\
V$ELK1_01 M00007 human Elk-1 P19419\
V$SP1_01 M00008 human Sp1 P08047\
V$EVI1_06 M00011 mouse Evi-1 P14404\
\
\
The columns are (from left to right): transfac binding matrix id, \
transfac binding matrix accession number, transcription factor species, \
transcription factor name, SwissProt accesssion number.\
When no factor species, name, or id information exists in the transfac factor\
database for a binding matrix, an 'N' appears in the corresponding column(s). Notice also\
that if more than one transcription factor is known for one binding matrix, each occurs on its own line, \
so multiple lines can exist for one binding matrix.\
\
\
\
Credits
\
\
These data were generated using the Transfac Matrix and Factor databases created by\
Biobase.\
\
\
The tfloc program was developed at The Pennsylvania State University (with numerous \
updates done at UCSC) by Matt Weirauch.\
\
\
This track was created by Matt Weirauch and Brian Raney at The\
University of California at Santa Cruz.\
\
These tracks contain cDNA and gene alignments produced by\
the TransMap cross-species alignment algorithm\
from other vertebrate species in the UCSC Genome Browser.\
For closer evolutionary distances, the alignments are created using\
syntenically filtered LASTZ or BLASTZ alignment chains, resulting\
in a prediction of the orthologous genes in human. For more distant\
organisms, reciprocal best alignments are used.\
\
\
TransMap maps genes and related annotations in one species to another\
using synteny-filtered pairwise genome alignments (chains and nets) to\
determine the most likely orthologs. For example, for the mRNA TransMap track\
on the human assembly, more than 400,000 mRNAs from 25 vertebrate species were\
aligned at high stringency to the native assembly using BLAT. The alignments\
were then mapped to the human assembly using the chain and net alignments\
produced using BLASTZ, which has higher sensitivity than BLAT for diverged\
organisms.\
\
Compared to translated BLAT, TransMap finds fewer paralogs and aligns more UTR\
bases.\
\
This track may also be configured to display codon coloring, a feature that\
allows the user to quickly compare cDNAs against the genomic sequence. For more \
information about this option, click \
here.\
Several types of alignment gap may also be colored; \
for more information, click \
here.\
\
Methods
\
\
\
\
Source transcript alignments were obtained from vertebrate organisms\
in the UCSC Genome Browser Database. BLAT alignments of RefSeq Genes, GenBank \
mRNAs, and GenBank Spliced ESTs to the cognate genome, along with UCSC Genes,\
were used as available.\
For all vertebrate assemblies that had BLASTZ alignment chains and\
nets to the human (hg19) genome, a subset of the alignment chains were\
selected as follows:\
\
For organisms whose branch distance was no more than 0.5\
(as computed by phyloFit, see Conservation track description for details),\
syntenic filtering was used. Reciprocal best nets were used if available;\
otherwise, nets were selected with the netfilter -syn command.\
The chains corresponding to the selected nets were used for mapping.\
For more distant species, where the determination of synteny is difficult,\
the full set of chains was used for mapping. This allows for more genes to\
map at the expense of some mapping to paralogous regions. The\
post-alignment filtering step removes some of the duplications.\
\
The pslMap program was used to do a base-level projection of\
the source transcript alignments via the selected chains\
to the human genome, resulting in pairwise alignments of the source transcripts to\
the genome.\
The resulting alignments were filtered with pslCDnaFilter\
with a global near-best criteria of 0.5% in finished genomes\
(human and mouse) and 1.0% in other genomes. Alignments\
where less than 20% of the transcript mapped were discarded.\
\
\
\
\
To ensure unique identifiers for each alignment, cDNA and gene accessions were\
made unique by appending a suffix for each location in the source genome and\
again for each mapped location in the destination genome. The format is:\
\
accession.version-srcUniq.destUniq\
\
\
Where srcUniq is a number added to make each source alignment unique, and\
destUniq is added to give the subsequent TransMap alignments unique\
identifiers.\
\
\
For example, in the cow genome, there are two alignments of mRNA BC149621.1.\
These are assigned the identifiers BC149621.1-1 and BC149621.1-2.\
When these are mapped to the human genome, BC149621.1-1 maps to a single\
location and is given the identifier BC149621.1-1.1. However, BC149621.1-2\
maps to two locations, resulting in BC149621.1-2.1 and BC149621.1-2.2. Note\
that multiple TransMap mappings are usually the result of tandem duplications, where both\
chains are identified as syntenic.\
\
\
Data Access
\
\
\
The raw data for these tracks can be accessed interactively through the\
Table Browser or the\
Data Integrator.\
For automated analysis, the annotations are stored in\
bigPsl files (containing a\
number of extra columns) and can be downloaded from our\
download server, \
or queried using our API. For more \
information on accessing track data see our \
Track Data Access FAQ.\
The files are associated with these tracks in the following way:\
\
TransMap Ensembl - hg19.ensembl.transMapV5.bigPsl
\
TransMap RefGene - hg19.refseq.transMapV5.bigPsl
\
TransMap RNA - hg19.rna.transMapV5.bigPsl
\
TransMap ESTs - hg19.est.transMapV5.bigPsl
\
\
Individual regions or the whole genome annotation can be obtained using our tool\
bigBedToBed, which can be compiled from the source code or downloaded as\
a precompiled binary for your system. Instructions for downloading source code and\
binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
\
This track was produced by Mark Diekhans at UCSC from cDNA and EST sequence data\
submitted to the international public sequence databases by \
scientists worldwide and annotations produced by the RefSeq,\
Ensembl, and GENCODE annotations projects.
\
\
genes 0 group genes\
html transMapV5\
longLabel TransMap Alignments Version 5\
shortLabel TransMap V5\
superTrack on\
track transMapV5\
tRNAs tRNA Genes bed 6 + Transfer RNA Genes Identified with tRNAscan-SE 0 100 0 20 150 127 137 202 0 0 0
Description
\
\
This track displays tRNA genes predicted by using \
tRNAscan-SE v.1.23. \
\
\
tRNAscan-SE is an integrated program that uses tRNAscan (Fichant) and an A/B box motif detection \
algorithm (Pavesi) as pre-filters to obtain an initial list of tRNA candidates. \
The program then filters these candidates with a covariance model-based \
search program \
COVE (Eddy) to obtain a highly specific set of primary sequence \
and secondary structure predictions that represent 99-100% of true tRNAs \
with a false positive rate of fewer than 1 per 15 gigabases.
\
What does the tRNAscan-SE score mean? Anything with a score above 20 bits is likely to be\
derived from a tRNA, although this does not indicate whether the tRNA gene still encodes a \
functional tRNA molecule (i.e. tRNA-derived SINES probably do not function in the ribosome in translation).\
Vertebrate tRNAs with scores of >60.0 (bits) are likely to encode functional tRNA genes, and \
those with scores below ~45 have sequence or structural features that indicate they probably are\
no longer involved in translation. tRNAs with scores between 45-60 bits are in the "grey" zone, and may\
or may not have all the required features to be functional. In these cases, tRNAs should be inspected\
carefully for loss of specific primary or secondary structure features (usually in alignments with other\
genes of the same isotype), in order to make a better educated guess. These rough score range guides \
are not exact, nor are they based on specific biochemical studies of atypical tRNA features,\
so please treat them accordingly.\
\
\
Please note that tRNA genes marked as "Pseudo" are low scoring predictions that are mostly pseudogenes or \
tRNA-derived elements. These genes do not usually fold into a typical cloverleaf tRNA secondary \
structure and the provided images of the predicted secondary structures may appear rotated.\
\
\
Credits
\
\
Both tRNAscan-SE and GtRNAdb are maintained by the\
Lowe Lab at UCSC.\
\
\
Cove-predicted tRNA secondary structures were rendered by NAVIEW (c) 1988 Robert E. Bruccoleri.\
\
\
References
\
\
When making use of these data, please cite the following articles:
\
genes 1 color 0,20,150\
group genes\
longLabel Transfer RNA Genes Identified with tRNAscan-SE\
nextItemButton on\
noScoreFilter .\
shortLabel tRNA Genes\
track tRNAs\
type bed 6 +\
visibility hide\
targetScanS TS miRNA sites bed 6 . TargetScan miRNA Regulatory Sites (Release 5.1, April 2009) 0 100 0 96 0 127 175 127 0 0 0 http://www.targetscan.org/cgi-bin/targetscan/vert_50/view_gene.cgi?gs=$P&taxid=9606&members=$p&showcnc=1
Description
\
\
This track shows conserved mammalian microRNA regulatory target sites\
for conserved microRNA families in\
the 3' UTR regions of Refseq Genes, as predicted by TargetScanHuman 5.1.
\
\
Method
\
\
Putative miRNA binding sites in UTRs were identified using seven-nucleotide\
seed regions from all known miRNA families conserved across mammals.\
Using all human RefSeq transcripts and CDS annotation from NCBI,\
aligned vertebrate 3' UTRs were extracted from multiz alignments and masked\
for overlap with protein-coding sequences.\
These 3' UTRs were scanned to identify conserved matches to the miRNA seed\
region, as in Friedman et al., 2009.\
These sites were then assigned a percentile rank (0 to 100) based on their\
context score (Grimson et al., 2007).\
For further details of the methods used to generate\
this annotation, see the references\
and the TargetScan\
website.
\
\
Credit
\
\
Thanks to George Bell of\
Bioinformatics and Research Computing at the Whitehead\
Institute for providing this annotation, which was generated in collaboration\
with the labs of David Bartel and Chris Burge.\
Additional information on microRNA target prediction is available on the\
TargetScan website.\
\
TargetScan \
is a web resource that provides predictions of biological targets of microRNAs by \
searching for the presence of sites that match the seed region of each miRNA.\
The TargetScan browser tracks show conserved mammalian microRNA regulatory target sites\
for conserved microRNA families in the 3' UTR regions of human Refseq Genes.\
\
\
Credit
\
\
Thanks to George Bell of\
Bioinformatics and Research Computing at the Whitehead\
Institute for providing this annotation, which was generated in collaboration\
with the labs of David Bartel and Chris Burge.\
Additional information on microRNA target prediction is available on the\
TargetScan website.\
\
This track shows conserved mammalian microRNA regulatory target sites\
for conserved microRNA families in\
the 3' UTR regions of Refseq Genes, as predicted by TargetScanHuman 7.2.\
\
\
Display Conventions
\
\
The track items are colored based on the four classes of target sites identified in \
Agarwal et al., 2015. \
\
\
\
\ \
\ \
\
\ \ \
Purple
\
\ \ \
\
\ \ \
8mer
\
\ \
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\ \
\
\ \ \
Red
\
\ \ \
\
\ \ \
7mer-m8
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\ \ \
Blue
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\ \ \
\
\ \ \
7mer-A1
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Green
\
\ \ \
\
\ \ \
Non-canonical
\
\ \
\
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\ \
\
Method
\
\
Putative miRNA binding sites in UTRs were found by searching for conserved \
8mer, 7mer, and 6mer sites that match the seed regions from all known miRNA\
families in mammals. Using protein-coding human transcripts from GENCODE v19\
and RefSeq, aligned vertebrate 3' UTRs were extracted from Multiz alignments to\
create 3' UTR profiles. These 3' UTRs were scanned to identify conserved \
matches to the miRNA seed region, as in Friedman et al., 2009. These \
sites were then assigned a percentile rank based on their\
context++\
score (Agarwal et al., 2015). This field is set to -1 for some\
noncanonical sites where the context++ score model isn't applicable.\
For further details of the methods used to generate\
this annotation, see the references\
and the TargetScan\
website.
\
\
Release Notes
\
\
Compared to previous releases, Release 7 uses an improved method to predict\
targeting efficacy (the context++ model, Agarwal et al., 2015), uses 3' UTR\
profiles that indicate the fraction of mRNA containing each site (Nam et al.,\
2014), and uses updated miRNA families curated from Chiang et al., 2010 and\
Fromm et al., 2015. The previous version released by UCSC was 5.1. For further\
information on previous releases refer to \
TargetScan Releases.\
\
\
Credit
\
\
Thanks to George Bell of\
Bioinformatics and Research Computing at the Whitehead\
Institute for providing this annotation, which was generated in collaboration\
with the labs of David Bartel and Chris Burge.\
Additional information on microRNA target prediction is available on the\
TargetScan website.\
\
This track maps genome-wide human transcription factor binding sites using\
second-generation massively parallel sequencing. This mapping uses expressed\
transcription factors as GFP-tagged fusion proteins after bacterial artificial\
chromosome (BAC) recombineering (recombination-mediated genetic engineering).\
\
\
\
The University of Chicago and Max Planck Institute (Dresden) pipeline generates\
recombineered BACs for the production of cell lines or animals that express fusion\
proteins from epitope-tagged transgenes.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
\
\
For each cell type, this track contains the following views:\
\
Peaks\
Regions of signal enrichment based on processed data (usually normalized data from pooled replicates).\
Signal\
Density graph (wiggle) of signal enrichment based on aligned read density.\
\
\
\
\
Peaks and signals displayed in this track are the results of pooled replicate\
sequence. Alignment files for each replicate are available for\
download.\
\
To facilitate high-throughput production of the transgenic constructs, the\
program BACFinder (Crowe et al., 2002) automatically selects the\
most suitable BAC clone for any given human gene and generates the sets of\
PCR primers required for tagging and verification (Poser et al.,\
2008). Recombineering is used for tagging cassettes at either the N or C\
terminus of the protein. The N-terminal cassette has a dual eukaryotic-prokaryotic\
promoter (PGK-gb2) driving a neomycin-kanamycin resistance gene within an\
artificial intron inside the tag coding sequence. The selection cassette is\
flanked by two loxP sites and can be permanently removed by Cre\
Recombinase-mediated excision. The C-terminal cassette contains the sequence\
encoding the tag followed by an internal ribosome entry site (IRES) in front\
of the neomycin resistance gene. In addition, a short bacterial promoter (Gb3)\
drives the expression of the neomycin-kanamycin resistance gene in E. coli.\
\
\
\
The tagging cassettes, containing 50 nucleotides of PCR-introduced homology arms,\
were inserted into the BAC by recombineering, either behind the start codon (for\
the N-terminal tag) or in front of the stop codon (for the C-terminal tag) of the\
gene. E. coli cells that had successfully recombined the cassette were\
selected for kanamycin resistance in liquid culture. Each saturated culture from\
a specific recombineering reaction derived 10-200 independent recombination events.\
\
\
\
Two independent clones were checked for each PCR through the tag insertion point and\
97% (85/88) yielded a PCR product of the expected size. Most of the clones that failed\
to grow were missing the targeted genomic region. An estimated 10% of the BACs used\
were chimeric, rearranged or wrongly mapped. Thus, initial results indicated that the\
necessary recombineering steps could be carried out with high fidelity.\
\
\
\
The White lab produced all epitope tagged transcription and chromatin factor BACs,\
as well as the genome-wide ChIP data and analysis. An application of this approach\
to the analysis of closely related paralogs (RARa and RARg) yielded transcription\
factors, chromatin factors, cell lines, ChIP-chip data and ChIP-seq data (Hua\
et al., 2009). Such paralogous transcription factors often cannot otherwise\
be distinguished by antibodies.\
\
\
Sample Preparation
\
\
\
ChIP DNA from samples were sheared to approximately 800 bp using a nebulizer. The ends of the DNA\
were polished and two unique adapters were ligated to the fragments. Ligated fragments of\
150-200 bp were isolated by gel extraction and amplified using limited cycles of PCR.\
\
\
Sequencing System
\
\
\
Illumina GAIIx and HySeq next-generation sequencing were used to produce all ChIP-seq data.\
\
\
Processing and Analysis Software
\
\
\
Raw sequencing reads were aligned using\
Bowtie 0.12.5\
(Langmead et al., 2009). The "-m 1" parameter was applied to suppress\
alignments mapping more than once in the genome. Reads were aligned to the UCSC hg19 assembly.\
Wiggle format signal files were generated with\
SPP 2.7.1\
(Kharchenko et al., 2008) for R 2.7.1.\
MACS 1.3.7\
was used to call peaks. The MACS parameters used varied by experiment.\
\
\
\
The White lab used goat anti-GFP antibody to perform ChIP in untagged K562 cells as a background control.\
The test IP was performed in the same manner as the background control. Results were expressed as values\
of the test normalized to the background.\
\
\
Credits
\
\
\
These data and annotations were created by a collaboration of University of Chicago and Argonne National Laboratory:\
\
\
\
\
Kevin White (Principal Investigator at University of Chicago)
\
Data users may freely use ENCODE data, but may not, without prior consent,\
submit publications that use an unpublished ENCODE dataset until nine months\
following the release of the dataset. This date is listed in the Restricted Until\
column, above. The full data release policy for ENCODE is available\
here.\
\
regulation 1 compositeTrack on\
controlledVocabulary encode/cv.ra cellType=cell factor=antibody\
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dragAndDrop subTracks\
fileSortOrder cell=Cell_Line antibody=Antibody Target control=Control replicate=Rep view=View dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
group regulation\
longLabel Transcription Factor Binding Sites by Epitope-Tag from ENCODE/UChicago\
noInherit on\
priority 0\
shortLabel UChicago TFBS\
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subGroup1 view Views Peaks=Peaks Signal=Signal\
subGroup2 cellType Cell_Line K562=K562 (Tier_1)\
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subGroup4 control Control ControlGATA2=Control_eGFP-GATA2 ControlFOS=Control_eGFP-FOS Control=Control ControlHDAC8=Control_eGFP-HDAC8 ControlNR4A1=Control_eGFP-NR4A1 ControlJunD=Control_eGFP-JunD ControlJunB=Control_eGFP-JunB\
subGroup5 rep Replicate rep1=1 rep2=2 repInput=Input repPOOLED=Pooled\
superTrack wgEncodeTfBindingSuper hide\
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type bed 3\
knownAlt UCSC Alt Events bed 6 . Alternative Splicing, Alternative Promoter and Similar Events in UCSC Genes 0 100 90 0 150 172 127 202 0 0 0
Description
\
This track shows various types of alternative splicing and other\
events that result in more than a single transcript from the same\
gene. The label by an item describes the type of event. The events are:
\
\
Alternate Promoter (altPromoter) - Transcription starts at multiple places. The altPromoter extends from 100 bases before to 50 bases after transcription start.\
Alternate Finish Site (altFinish) - Transcription ends at multiple places.\
Cassette Exon (cassetteExon) - Exon is present in some transcripts but \
not others. These are found by looking for exons that overlap an intron in the \
same transcript.\
Retained Intron (retainedIntron) - Introns are spliced out in some \
transcripts but not others. In some cases, particularly when the intron is near \
the 3' end, this can reflect an incompletely processed transcript rather than \
a true alt-splicing event.\
Overlapping Exon (bleedingExon) - Initial or terminal exons overlap \
in an intron in another transcript. These often are associated with incompletely \
processed transcripts.\
Alternate 3' End (altThreePrime) - Variations on the 3' end of an intron.\
Alternate 5' End (altFivePrime) - Variations on the 5' end of an intron.\
Intron Ends have AT/AC (atacIntron) - An intron with AT/AC ends rather than \
the usual GT/AG. These are associated with the minor spliceosome.\
Strange Intron Ends (strangeSplice) - An intron with ends that are not \
GT/AG, GC/AG, or AT/AC. These are usually artifacts of some sort due to \
sequencing error or polymorphism.\
\
\
Credits
\
This track is based on an analysis by the txgAnalyse program of splicing graphs\
produced by the txGraph program. Both of these programs were written by Jim\
Kent at UCSC.
\
genes 1 color 90,0,150\
group genes\
longLabel Alternative Splicing, Alternative Promoter and Similar Events in UCSC Genes\
noScoreFilter .\
shortLabel UCSC Alt Events\
track knownAlt\
type bed 6 .\
visibility hide\
ucsfBrainMethyl UCSF Brain Methyl bed 3 UCSF Brain DNA Methylation 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
Genome wide methylation (MeDIP-seq and MRE-seq), histone H3 lysine 4 trimethylation \
(H3K4me3) and gene expression (RNA-seq and RNA-seq (SMART)) data were generated from \
postmortem human frontal cortex gray matter of a 57 year-old male. This was done\
to investigate the role that intragenic, tissue-specific CpG island methylation \
plays in controlling gene expression \
(Maunakea, et al. 2010).\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are here.\
The following views are in this track:\
\
\
Raw Singal\
Density graph (wiggle) of signal enrichment.\
CpG score\
DNA methylation score on CpG sites.\
\
\
Methods
\
\
DNA, RNA and native chromatin were extracted using standard methods; assay specific \
methods are described below. MRE-seq, MeDIP-seq, H3K4me3 ChIP-seq, RNA-seq and RNA-seq \
(SMART) libraries were sequenced using an Illumina Genome Analyzer II. Sequencing reads \
are available through the NCBI SRA \
(study accession number SRP002318).\
\
\
MeDIP-seq (Methylated DNA immunoprecipitation and sequencing)
\
\
MeDIP-seq uses immunoprecipitation to extract the methylated fraction of the genome. \
Purified DNA was first sheared and processed following the Illumina Genomic DNA Library \
Kit protocol. These DNA fragments were then immunoprecipitated using an antibody raised \
against 5-methylcytosine, the methylated form of cytosine, before constructing a \
library, which was sequenced and mapped to the genome.\
\
\
MRE-seq (Methyl-sensitive restriction enzyme digest and sequencing)
\
\
MRE-seq identifies unmethylated CpG sites by sequencing size-selected fragments from \
parallel DNA digestions with the MREs HpaII, Hin6I, and AciI. Since these enzymes \
require unmethylated CpG sites within their recognition sequences to cut DNA, \
identifying the end of each fragment generated allows inference of a single \
unmethylated cytosine. The 3 digests were combined and size-selected by gel \
electrophoresis to enrich for unmethylated CpG sites in close proximity. A library was \
constructed and sequenced; the sequence reads were then mapped to the genome with the \
additional requirement that they map to a known MRE recognition site.\
\
Chromatin immunoprecipitation was performed to enrich for histone H3 modified at lysine \
position 4 with trimethylation (H3K4me3), as this histone modification is associated \
with promoters. A ChIP-seq library was constructed as described in Robertson, et al. \
2007, sequenced and mapped to the genome.\
\
\
RNA-seq and RNA-seq SMART (RNA sequencing and SMART-tagged RNA sequencing)
\
\
Sheared RNA was used to synthesize full-length single-stranded cDNAs as described by \
Morin, et al. 2008. A library was constructed and sequenced, and sequence reads are \
mapped to the genome. The 5' end of transcripts were tagged with a sequence tag, \
called a "SMART tag", while making cDNA library for sequencing. SMART tagged \
reads were used to infer transcription initiation, while all reads together are used to \
infer gene expression level.\
\
\
Verification
\
\
MeDIP-seq
\
\
Each post-amplification library was QC'd for quantity, quality and size \
distribution by spectrophotometry and Agilent DNA Bioanalyzer analysis. Four \
independent PCR reactions were performed to confirm enrichment for methylated and \
de-enrichment for unmethylated sequences, compared to input sonicated DNA. Visual \
inspection of extended coverage browser tracks confirmed expectations: lack of MeDIP \
signal in most 5' CpG island promoters and in regions devoid of CpG sites, as well \
as high MeDIP signal at known methylated sites (i.e. some imprinted regions).\
\
\
MRE-seq
\
\
Each post-amplification library was QC'd for quantity, quality and size \
distribution by Nanodrop spectrophotometry and Agilent DNA Bioanalyzer analysis. Prior \
to high-throughput sequencing, a portion of each library was cloned into a sequencing \
vector and ~24 individual clones were Sanger sequenced to confirm the presence of \
MRE sites at the ends of each insert. Illumina sequencing reads were filtered to only \
include those that map to MRE sites in the reference. MRE reads occured frequently in \
5' CpG islands, which are often unmethylated and are enriched for the MRE \
recognition sequences relative to rest of the genome.\
\
\
H3K4me3 ChIP-seq
\
\
Each post-amplification library was examined for quantity, quality and size \
distribution by Nanodrop spectrophotometry, Qubit fluoremetry and Agilent DNA \
Bioanalyzer. Fold H3K4me3 enrichment was confirmed by comparison to non-specific \
rabbit IgG enrichment. Visual inspection of the browser track of called peaks confirmed \
enrichment at a subset of annotated promoters.\
\
\
RNA-seq and RNA-seq (SMART)
\
\
Each post-amplification library was examined for quantity, quality and size \
distribution by Nanodrop spectrophotometry, Qubit fluoremetry and Agilent DNA \
Bioanalyzer. Visual inspection of the browser track of extended reads confirmed \
enrichment at annotated exons and UTRs. SMART-tagged reads were enriched at known \
promoters, as expected. \
\
\
Credits
\
\
\
UCSF: Joseph Costello, Raman Nagarajan, Shaun Fouse, Brett Johnson, Chibo Hong, Ksenya \
Shchors, Vivi M. Heine, David H. Rowitch\
\
\
Genome Sciences Centre, BC Cancer Agency: Mikhail Bilenky, Cletus D'Souza, Cydney \
Nielsen, Yongjun Zhao, Allen Delaney, Richard Varhol, Nina Thiessen, Steven S.J. Jones, \
Marco A. Marra, Martin Hirst\
\
\
Washington University, St. Louis, MO: Ting Wang, Xiaoyun Xing, Chris Fiore, Maximiliaan \
Schillebeeckx\
\
This track contains chromatin interaction data generated using the 5C (Chromatin Conformation Capture Carbon Copy)\
method by the ENCODE group (Dekker Lab) located at the University of Massachusetts, Worcester, MA.\
This track shows the significant looping interactions between transcriptional start sites (TSS)\
and distal regulatory elements in the context of the 44 ENCODE pilot regions spanning 1% of the human genome.\
\
\
\
Although the DNA is a linear sequence, the chromatin, which is packed and organized inside the nucleus, \
does not function linearly. This is most clearly illustrated by the fact that genes are\
often regulated by elements that are located hundreds of kilobases away in the linear genome.\
Imaging techniques have shown that regulatory elements can act over large genomic distances \
by engaging in direct physical interactions with target genes, resulting in the formation of chromatin loops.\
Based on these observations, we have envisaged that the spatial organization of the genome resembles a\
three-dimensional network that is driven by physical associations between genes and regulatory elements,\
both in cis (within the same chromosome) and in trans (between different chromosomes) (Dekker, 2006).\
\
\
\
Apart from imaging technology which is labor intensive and low-throughput, \
long-range chromatin looping interactions can be detected using the Chromosome Conformation Capture (3C)\
technology (Dekker et al., 2002). The 3C method employs formaldehyde cross-linking to covalently link\
interacting chromatin segments in intact cells. Cells are subsequently lysed and chromatin is\
digested with a restriction enzyme of choice. The digested fragments are then ligated under \
dilute conditions to facilitate intramolecular ligation. The result is a genome-wide \
interaction library of ligation products corresponding to all possible chromatin interactions. \
Specific ligation products can then be detected by PCR using specific primer pairs. \
\
\
\
The 5C method was developed to dramatically increase 3C throughput (Dostie et al., 2006; Dostie and Dekker, 2007).\
The 5C method greatly increases the scale of chromatin interaction detection by replacing the PCR detection step of 3C with\
ligation-mediated amplification (LMA). LMA is advantageous due to a much higher level of multiplexing by using\
thousands of primers in a single reaction to detect millions of chromatin interactions (ligation junctions) in parallel. \
The LMA step effectively "copies" 3C ligation products into much smaller 5C ligation products that precisely correspond to ligation\
junctions formed during the 3C procedure. The products of the multiplexed LMA reaction constitute the 5C library.\
The composition of the 5C library is determined using high-throughput DNA sequencing.\
\
\
Display Conventions and Configuration
\
\
\
In the graphical display, the significant looping interactions in cis (i.e., from the same ENCODE pilot regions) \
are represented by blocks and connected by a horizontal line. Users can opt to filter the significant looping interactions \
according to their respective z-score (scaled to 0-1000) by using the built-in genome browser display score threshold.\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.\
\
\
File Conventions
\
\
\
The following types of data are available for download:\
\
\
Matrix
\
\
Interaction files are in a matrix format indicating interaction strength\
with "reverse primer name | genome version | reverse HindIII fragment coordinates" in\
the top row and "forward primer name | genome version | forward primer fragment coordinates"\
in the first column. The number of sequences mapped to each interaction fills the matrix.\
\
In order to understand the Matrix data, you must download the associated primer data file.\
\
\
Primer
\
\
Primer data files include the sequences of the primers used in the experiments.\
These files are available for download in the supplemental materials.\
\
Raw Data
\
\
Sequencing files provided in fastQ format.
\
\
\
Methods
\
\
\
The aim of the pilot study was to generate a "connectivity map" between transcription start sites (TSS) and distal \
regulatory elements within the 44 ENCODE PILOT regions. \
\
\
\
In the current scheme, 5C primers were designed for all HindIII restriction fragments. \
Reverse primers were designed on fragments containing the TSS of annotated genes. Forward primers were designed on all other fragments. \
This design allowed for the interrogation of all TSS with all other restriction fragments, thus \
generating an interaction map between TSS and regulatory elements. For gene desert ENCODE pilot regions (for example ENr313), \
an altered scheme of forward and reverse primers was designed. \
\
\
\
Primers were selected for relative uniqueness using a custom 15-mer frequency table and BLAST. \
A custom hexamer barcode was added to each primer to ensure the sequence was unique relative to the primer pool being used. \
Primers were also selected for the appropriate melting temperature and GC-content and a universal tail sequence for amplification. \
\
\
\
The 44 ENCODE regions were analyzed in two groups using two separate 5C primer pools.\
The first group (ENm) contained the manually-picked ENCODE regions, ENm001-014 and ENr313. \
The second group (ENr) contained the 30 randomly-picked ENCODE regions. \
The two 5C primer pools were made by pooling 5C primers for interrogating long-range interactions in the \
two groups of ENCODE regions. The primer pool for the ENm group contained a total \
of 3,150 primers (476 reverse 5C primers and 2674 forward 5C primers). This primer pool allowed interrogation \
of a total of 1,272,824 interactions. Of these, 83,427 interactions were between fragments that were \
both located in the same ENCODE region. This primer pool for the ENr group contained a total of \
3,152 primers (505 reverse 5C primers and 2647 forward 5C primers). \
This primer pool allowed interrogation of a total of 1,336,735 interactions. \
Of these, 34,859 interactions were between fragments that were both located in the same ENCODE region.\
In total, 981 reverse primers and 5,321 forward primers were designed (corresponding to ~77.1% (6,302/8,174) \
of all HindIII fragments in the 44 ENCODE regions).\
\
\
\
Currently, data for two biological replicates have been generated for \
ENCODE Tier I (GM12878 and K562), Tier II (HeLa-S3), and H1 human embryonic stem cells (H1-hESC), \
spanning 14 ENCODE manual regions along with one random region (ENr313) as well as \
30 random regions separately using high-throughput paired-end sequencing in the \
Illumina GA2 platform. The looping interactions, which are detected in both the biological replicates, are considered significant.\
\
\
Release Notes
\
\
This is Release 2 (July 2012). There is no new data for this release all new data has the version number appended to the name (e.g., V2). Peak files have been reanalyzed and more complete Raw Data files have been submitted.\
\
\
Credits
\
\
\
All provided data were produced by the Dekker Lab at UMass Medical School, Worcester, MA. \
The following personnel contributed to the project (contacts):\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
regulation 1 boxedCfg on\
canPack On\
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group regulation\
html wgEncodeUmassDekker5C.release2\
longLabel Chromatin Interactions by 5C from ENCODE/Dekker Univ. Mass.\
noInherit on\
priority 0\
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sortOrder cellType=+\
subGroup1 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2HELAS3=HeLa-S3 (Tier_2)\
subGroup2 region Region NONE=None\
superTrack wgEncodeChromSuper dense\
track wgEncodeUmassDekker5C\
type bed 12 +\
uMassBrainHistone UMMS Brain Hist bed 3 Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng) 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track displays maps of histone H3K4me3 in human brain,\
identified by chromatin immunoprecipitation followed by high-throughput\
sequencing (ChIP-Seq).\
Measurements were made in neuronal and non-neuronal nuclei collected from\
prefrontal cortex (PFC) of 11 individuals ranging in age from 0.5 to 69 years.
\
\
ChIP-Seq begins by using formaldehyde to cross-link\
histones and other DNA-associated proteins to genomic DNA. The cross-linked\
chromatin is subsequently extracted, mechanically sheared, and\
immunoprecipitated using specific antibodies. After reversal of cross-links,\
the immunoprecipitated DNA is sequenced and mapped to the human reference\
genome. The relative enrichment of each antibody-target (epitope) across\
the genome is inferred from the density of mapped fragments.
\
\
\
Methods
\
\
Human prefrontal cortex samples used in this study were obtained from the\
Brain and Tissue Bank for Developmental Disorders, University of Maryland\
and a brain bank at the University of California, Irvine. Nuclei extraction,\
chromatin immunoprecipitation and sequencing were carried out as described\
in Cheung I, et al. (2010). Sequencing was performed on an Illumina\
Genome Analyzer (GA II).
\
\
The length of sequence reads was 36 bp. Mapping was performed using \
Bowtie (version 0.11.3, \
Langmead B, Trapnell C, Pop M, Salzberg SL (2009)) allowing up to one\
mismatch to map all sequence reads to the gender appropriate human genome hg18 (NCBI36), and\
67-87% of the reads in the neuronal samples mapped to one unique\
location in the genome. The mapped reads were analyzed using the MACS software\
package (version 1.3.5, Zhang Y, et al. (2008)) to identify peaks, with bw = 230 bp, as defined\
experimentally by PCR, tSize = 36 bp, and other parameters set at default.\
The scored peaks were then lifted to the hg19 (GRCh37) assembly. \
Signal tracks were generated directly from a remapping of the reads to hg19.\
\
\
Verification
\
\
Experimental testing was performed on a subset of the peaks that were \
positioned more than\
10 kb from annotated genes for RNA expression in PFC neurons by qRT-PCR and\
in situ hybridization. These results suggest that H3K4me3 mapping can serve as a\
guide to uncover potentially hundreds of unannotated novel and cell-specific\
transcripts in the brain.
\
\
Credits
\
\
Chromatin immunoprecipitation experiments were carried out by Iris Cheung,\
Yan Jiang and Schahram Akbarian; analyses were performed by Hennady Shulha,\
Jie Wang and Zhiping Weng at the University of Massachusetts Medical School.
\
Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W, Liu XS.\
\
Model-based analysis of ChIP-Seq (MACS). \
Genome Biol. 2008;9(9):R137.
\
\
regulation 1 compositeTrack on\
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dimensions dimensionX=age dimensionY=cellType dimA=sex\
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longLabel Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng)\
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shortLabel UMMS Brain Hist\
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subGroup1 view Views Peaks=Peaks Signal=Signal\
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track uMassBrainHistone\
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wgEncodeOpenChromFaire UNC FAIRE bed 3 Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill) 1 100 0 0 0 127 127 127 1 0 0
Description
\
These tracks display Formaldehyde-Assisted Isolation of Regulatory Elements\
(FAIRE) evidence as part of the four Open Chromatin track sets (see below).\
FAIRE is a method to isolate and identify nucleosome-depleted regions of\
the genome. FAIRE was initially discovered in yeast and subsequently shown to\
identify active regulatory elements in human cells (Giresi et al.,\
2007). Similar to DNaseI HS, FAIRE appears to identify functional regulatory\
elements that include promoters, enhancers, silencers, insulators, locus\
control regions and novel elements.\
\
Together with DNaseI HS and ChIP-seq experiments, these tracks display the\
locations of active regulatory elements identified as open chromatin in\
multiple cell types\
from the Duke, UNC-Chapel Hill, UT-Austin, and EBI ENCODE group.\
Within this project, open chromatin was identified using two\
independent and complementary methods: DNaseI hypersensitivity (HS)\
and these FAIRE assays,\
combined with chromatin immunoprecipitation (ChIP) for select\
regulatory factors. DNaseI HS and FAIRE provide assay\
cross-validation with commonly identified regions delineating the\
highest confidence areas of open chromatin. ChIP assays provide\
functional validation and preliminary annotation of a subset of\
open chromatin sites. Each method employed Illumina (formerly Solexa)\
sequencing by synthesis as the detection platform.\
The Tier 1 and Tier 2 cell types were additionally verified by a\
second platform, high-resolution 1% ENCODE tiled microarrays supplied by NimbleGen.\
\
Other Open Chromatin track sets:\
\
Data for the DNase experiments can be found in\
Duke DNaseI HS.\
Data for the ChIP experiments can be found in\
UTA TFBS.\
A synthesis of all the open chromatin assays for select cell lines can\
be found in\
Open Chrom Synth.\
\
\
Display Conventions and Configuration
\
This track is a multi-view composite track that contains a single data type\
with multiple levels of annotation (views). For each view, there are\
multiple subtracks representing different cell types that display individually\
on the browser. Instructions for configuring multi-view tracks are\
here.\
Chromatin data displayed here represents a continuum of signal intensities.\
The Leib lab recommends setting the "Data view scaling: auto-scale"\
option when viewing signal data in full mode to see the full dynamic\
range of the data. Note that in regions that do not have open chromatin sites,\
autoscale will rescale the data and inflate the background signal, making the\
regions appear noisy. Changing back to fixed scale will alleviate this issue.\
In general, for each experiment in each of the cell types, the UNC FAIRE tracks\
contain the following views:\
\
Peaks
\
Peaks are regions of enriched signal in FAIRE experiments.\
Peaks were called based on signals created using F-Seq, a software program developed\
at Duke (Boyle et al., 2008b). Significant regions were determined\
by fitting the data to a gamma distribution to calculate p-values.\
Contiguous regions where p-values were below a 0.05/0.01 threshold were\
considered significant. The solid vertical line in the peak represents the\
point with highest signal.
\
\
F-Seq Density Signal
\
F-Seq Density Signal is a graph (wiggle) of signal enrichment calculated using F-Seq for the combined set of sequences from all replicates.\
F-Seq employs Parzen kernel density estimation to create base pair\
scores (Boyle et al., 2008b). This method does not look at fixed-length\
windows, but rather weights contributions of nearby sequences in proportion to\
their distance from that base. It only considers sequences aligned four or less\
times in the genome, and uses an alignability background model to try to correct\
for regions where sequences cannot be aligned. A model based on control input data was also used for each cell type to try to correct for amplifications and deletions, especially important for cells with an abnormal karyotype.
\
\
Base Overlap Signal
\
Base Overlap Signal is an alternative version of the\
F-Seq Density Signal track annotation that provides a higher resolution view of the raw sequence data.\
This track also includes the combined set of\
sequences from all replicates. For each sequence, the aligned read is\
extended 5 bp in both directions from its 5' aligned end where DNase cut\
the DNA. The score at each base pair represents the number of\
extended fragments that overlap the base pair.
\
\
\
\
Tracks displayed in this track are the results of pooled replicates. The raw\
sequence and alignment files for each replicate are available for\
download.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
FAIRE was performed (Giresi et al., 2007) by cross-linking proteins\
to DNA using 1% formaldehyde solution, and the complex was sheared using\
sonication. Phenol/chloroform extractions were performed to remove DNA\
fragments cross-linked to protein. The DNA recovered in the aqueous phase was\
sequenced using an Illumina (Solexa) sequencing system. FAIRE-seq data for\
Tier 1 and Tier 2 cell lines were verified by comparing multiple independent\
growths (replicates) and determining the reproducibility of the data. For some\
cell types additional verification was performed using the same material, but\
hybridized to NimbleGen Human ENCODE tiling arrays (1% of the genome) along\
with the input DNA as reference (FAIRE-chip). A more detailed protocol is available\
here and in the references below\
(Giresi et al., 2009).\
\
DNA fragments isolated by FAIRE are 100-200 bp in length, with the average length\
being 134 bp. Sequences from each experiment were aligned to the genome using\
Burrows-Wheeler Aligner (BWA) (Li et al., 2010) for the NCBI 36 (hg19) assembly.\
\
Where genome.fa is the whole genome sequence and s_1.sequence.txt.bfq is one lane\
of sequences converted into the required bfq format.
\
\
Sequences from multiple lanes\
are combined for a single replicate using the bwa samse command, and converted\
in the sam/bam format using SAMtools.\
\
Only those that aligned to four or fewer locations were retained. Other sequences\
were also filtered based on their alignment to problematic regions\
(such as satellites and rRNA genes - see\
supplemental materials).\
The mappings of these short reads to the genome are available for\
download.\
\
The resulting digital signal was converted to a continuous wiggle track using\
F-Seq that employs Parzen kernel density estimation to create base pair scores\
(Boyle et al., 2008b). Input data has been generated for several\
cell lines. These are used directly to create a control/background model used\
for F-Seq when generating signal annotations for these cell lines.\
These models are meant to correct for sequencing biases, alignment artifacts,\
and copy number changes in these cell lines. Input data is not being generated\
directly for other cell lines. For cell lines for which there is\
no input experiment available, the peaks were generated using the control\
of generic_male or generic_female, as an attempt to create a general\
background based on input data from several cell types. These files\
are in "iff" format, which is used when calling peaks with\
F-seq software, and can be downloaded from the\
production lab directly\
from under the section titled "Copy number / karyotype correction."\
Using a general background model derived from the available Input data sets provided corrections for\
sequencing biases and alignment artifacts, but will not correct for cell-type-specific copy number changes.\
\
Where the (bff files) are the background files based on alignability, the\
(iff files) are the background files based on the input experiments,\
and alignments.bed are a bed file of filtered sequence alignments.
\
\
Discrete FAIRE sites (peaks) were identified from FAIRE-seq F-seq\
density signal. Significant regions were determined by fitting the\
data to a gamma distribution to calculate p-values. Contiguous regions\
where p-values were below a 0.05/0.01 threshold were considered significant.\
\
Data from the high-resolution 1% ENCODE tiled microarrays supplied by\
NimbleGen were normalized using the Tukey biweight normalization, and peaks\
were called using ChIPOTle (Buck et al., 2005) at multiple levels\
of significance. Regions matched on size to these peaks that were devoid of\
any significant signal were also created as a null model. These data were used\
for additional verification of Tier 1 and Tier 2 cell lines by ROC analysis.\
Files labeled Validation view containing this data are available for\
download. \
\
\
Release Notes
\
\
Release 2 (September 2012) of this track consists of 12 new experiments, including 11 new cell lines. \
A synthesis of open chromatin evidence from the three assay types was\
compiled for Tier 1 and 2 cell lines can be found in:\
Open Chromatin Synthesis.\
Enhancer and Insulator Functional assays: A subset of DNase and FAIRE\
regions were cloned into functional tissue culture reporter assays to test for\
enhancer and insulator activity. Coordinates and results from these\
experiments can be found\
here. \
\
\
Credits
\
\
These data and annotations were created by a collaboration of multiple\
institutions (contact:\
\
Terry Furey):\
\
\
Data users may freely use ENCODE data, but may not, without prior consent,\
submit publications that use an unpublished ENCODE dataset until nine months\
following the release of the dataset. This date is listed in the Restricted\
Until column, above. The\
full data release policy for ENCODE is available here.\
regulation 1 compositeTrack on\
configurable on\
controlledVocabulary encode/cv.ra cellType=cell treatment=treatment\
dataVersion ENCODE July 2012 Freeze\
dimensions dimensionY=cellType dimensionX=treatment\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line treatment=Treatment view=View controlId=Control replicate=Replicate dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
group regulation\
html wgEncodeOpenChromFaire.release2\
longLabel Open Chromatin by FAIRE from ENCODE/OpenChrom(UNC Chapel Hill)\
noInherit on\
shortLabel UNC FAIRE\
sortOrder cellType=+ treatment=+ view=+\
subGroup1 view Views Peaks=Peaks SIG=Density_Signal SIGBO=Overlap_Signal\
subGroup2 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2A549=A549 (Tier_2) t2HELAS3=HeLa-S3 (Tier_2) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t2MCF7=MCF-7 (Tier_2) t3COLONOC=Colon t3ENDOMETRIUMOC=Endometrium t3FRONTALCORTEXOC=Frontal_cortex t3GLIOBLA=Gliobla t3GM12891=GM12891 t3GM12892=GM12892 t3GM18507=GM18507 t3GM19239=GM19239 t3HTR8SVN=HTR8svn t3KIDNEYOC=Kidney t3MEDULLO=Medullo t3MRTA204=MRT_A204 t3MRTG401=MRT_G401 t3MRTTTC549=MRT_TTC549 t3NHA=NH-A t3NHBE=NHBE t3NHEK=NHEK t3PANCREASOC=Pancreas t3PANISLETS=PanIslets t3RCC7860=RCC_7860 t3SMALLINTESTINEOC=Small_intestine t3UROTHELIA=Urothelia\
subGroup3 treatment Treatment AANONE=None EST10NM30M=Estradiol_10nM_30m HYDROUREA=Hydroxyurea HYPOXLAC=Hypoxia_LacAcid IFNa4h=IFNα_4hrs IFNg4h=IFNγ_4hrs NaBut=Sodium_Butyrate SERUMFREE=Serum_Free UT189=UT189_E.coli VEH=Vehicle EST10NM30M=Estradiol_10nM_30m\
superTrack wgEncodeDNAseSuper dense\
track wgEncodeOpenChromFaire\
type bed 3\
useScore 0\
wgEncodeUncBsuProtGenc UNC/BSU ProtGenc bed 3 Proteogenomics Hg19 and GENCODE Mapping from ENCODE/Univ. North Carolina/Boise State Univ. 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
The ENCODE project has revealed the functional elements of segments\
of the human genome in unprecedented detail. However, the ability to\
distinguish between transcripts designated for translation into protein\
and those that serve purely regulatory roles remains elusive. A\
standard means to determine if translation is occurring is to measure \
protein produced by transcripts via mass spectrometry-based proteogenomic\
mapping. In this process, proteins were digested to peptides using a protease \
such as trypsin and these petides were chromatographically fractionated and\
fed into a tandem mass spectrometer (MS/MS). This process creates a signature \
series of fragment masses which can be scanned against the theoretical \
translation and proteolytic digest of an entire genome to identify the genomic \
origins of sample proteins (Giddings et al., 2003).
\
\
This proteogenomic track displays mass spectrometry data that have been \
matched to genomic sequences for selected cell lines, using a workflow and \
software specifically designed for this purpose. The track can be used to \
identify which parts of the genome are translated into proteins, to verify \
which transcripts discovered by other ENCODE experiments are protein-coding,\
to reveal new genes and/or splice variants and proteins with post-translational \
modifications (PTM). Of particular interest is the possibility\
of uncovering the translation of small open reading frames (ORFs), antisense \
transcripts, or protein-coding regions that have been annotated as introns \
previously.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that\
display individually on the browser. Instructions for configuring multi-view\
tracks are\
here.\
To show only selected subtracks, uncheck the boxes next to the tracks that\
you wish to hide. Color differences among the views are arbitrary. They provide a\
visual cue for distinguishing between the different cell types and compartments.\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
This track shows peptide mappings as contiguous rectangular\
items rendered in grayscale according to their\
score, with darker items representing higher-confidence peptide mappings.\
The name of each item is the amino acid sequence of the peptide where a period (.)\
at the end of a name signifies a stop codon.\
\
\
\
Peptide Genome and GENCODE Mapping(Filtered)\
Peptide mapping results based on hg19 and GENCODE annotation for mass-spectrometry-based proteomics experiments filtered for a false discovery rate (FDR) better than 5%. Specific field descriptions can be found below.\
Modified Peptide Genome and GENCODE Mapping(Filtered)\
Modified peptide mapping results based on hg19 and GENCODE annotation for mass-spectrometry-based proteomics experiments filtered for a false discovery rate (FDR) better than 5%.\
\
\
\
\
\
Unfiltered views are available on the Downloads page.\
\
\
\
\
\
\
\
\
\
Fields specific to Proteogenomic tracks include:
\
\
The Item names the peptide sequence and\
is appended with a number for proteins with post-translational modifications (PTM)\
representing the integer portion of the PTM mass. The peptide sequence appears as a short label beside\
the main Genome Browser display window depending on the view configuration.
\
The Score is used to render shade to\
displayed rectangular items and is derived from the rawScore (see below) given by the proteomics \
peptide mapping software Peppy. It is computed as [(rawScore\
- rawScore at 10% FDR cutoff) /\
(rawScore at near 0% FDR cutoff -\
rawScore at 10% FDR cutoff)] * 1000,\
and is then converted to an integer. Raw scores above the 0% FDR threshold have\
a score of 1000 (best), while those below the 10% FDR threshold have a score of 0 (worst).
\
The rawScore is given by Peppy \
and is expressed as the negative log 10 of the p-value, which reflects\
the confidence of the mapping between the peptides and the spectrums.\
On the item details pages, rawScore is labeled: Raw score for a peptide/spectrum match.
\
The spectrumId is an identifier of the\
spectrum associated with the peptide mapping and can be used to track the original spectrum.\
On the item details pages, spectrumId is labeled: An identifier of the spectrum\
associated with the peptide mapping.
\
The peptideRank is a rank of the\
peptide/spectrum match used for a spectrum matching to different peptides. A spectrum\
can be chimeric (containing more than one peptide) and the spectrum can be mapped\
to two or more distinct peptides. Here, only the top-scoring match is reported. If more\
than one peptide "tied" for the top score, then all peptides were included and all \
matches have a peptideRank of 1. On the\
item details pages, peptideRank is labeled: Rank of the peptide/spectrum match,\
for spectrum matching to different peptides.
\
The peptideRepeatCount indicates the\
number of places in the genome where the peptide is encoded for a peptide/spectrum\
match. It reflects the prevalence or uniqueness of the peptide mapping in the genome.\
Those peptides mapped to only a few genomic locations will have a low\
peptideRepeatCount, whereas those peptides mapped\
to highly duplicated regions will have a high peptideRepeatCount. Peptides with\
a peptideRepeatCount greater than 10 times in the genome were\
deleted from the track (this field is for regular peptides only). On the \
item details pages, peptideRepeatCount is labeled: Indicates the number\
of places in the genome where the peptide is encoded for a peptide/spectrum match.
\
The modificationMass reflects the \
additional molecular weight for each modified peptide matched to a spectrum (this\
field is for PTM peptides only). On the item details pages, modificationMass is labeled:\
Reflects the additional molecular weight for each modified peptide matched to a spectrum.
\
\
\
\
Methods
\
\
ENCODE cell lines K562, GM12878, H1-hESC and H1-neurons were used for this \
large scale proteomic analysis. Cell lines were cultured according to standard\
ENCODE cell culture protocols\
and tryptic peptides were prepared using In-gel digestion (Shevchenko et al.,\
2007), FASP (Wiseniewski et al., 2009; Manza et al., 2005) \
or MudPIT (Washburn et al., 2001) protocols as indicated for each sample. \
Tandem mass spectrometry (RPLC-MS/MS) analysis was then performed on an Eksigent \
Ultra-LTQ Orbitrap system or a Q Exactive system (Thermo Scientific) as indicated.* \
The number of arginine or lysine sites missed by the trypsin enzyme is indicated by \
the metadata parameter miscleavages.\
\
We performed proteogenomic mapping (Jaffe et al., 2004) on an in silico \
translation and proteolytic digestion of the whole human genome (UCSC Hg19), and \
the GENCODE translation of protein-coding transcripts database with up to \
one missed cleavage using \
Peppy software. The GENCODE version for H1-hESC (FASP protocol), K562, and \
GM12878 is V11 and it is V10 for H1-hESC (MudPIT protocol) and H1-neurons datasets. \
GENCODE V11 was initially used for database search and it was later found that \
GENCODE V10 is the preferred version and was subsequently used to replace GENCODE \
V11 for the analyses of the later datasets. Peppy's embedded algorithm matches \
the MS/MS spectra to peptides and outputs a matching score, and the peptides are \
then mapped back to their corresponding genomic sequences. The peptide/spectrum \
matches (PSMs) found from Hg19 genome and GENCODE searches were compared and the PSMs \
of higher score from either matches were reported. If the scores from both matches \
are equal, both of them were reported. Additional peptides matches were found by \
GENCODE search that were not found in Hg19 genome search, some of which span slice \
junctions. Overall, a cross-comparison and inclusion of results from both database \
searches resulted in a greater coverage.\
\
\
For both the Hg19 genome and GENCODE database searches, a blind search for \
post-translational modifications (PTMs) was performed using Peppy software. \
In a blind PTM search, when Peppy matches a MS/MS spectrum to a peptide, if the \
matching score is increased after the addition of the molecular weight (MW) of a \
potential PTM, the peptide is determined as having a PTM. In the output of both the\
Hg19 genome and GENCODE searches, some spectra were output as matched with peptides \
of PTMs and others were output as matched with regular peptides, i.e., peptides \
without PTMs. Once the best-ranking PSMs were identified from either search, the\
regular peptides and peptides with PTMs were displayed in separate tracks. \
\
\
\
For each data set, a reverse database search was also performed using all spectra\
to calculate the false discovery rate (FDR) (Elias et al., 2007). Only\
those matches with a FDR rate below 5% were included in this track. The\
unfiltered results of those peptides matches with an FDR rate below 10% are available \
for download.\
\
\
*H1-hESC (FASP protocol), K562 and GM12878 samples were analyzed on the Eksigent \
Ultra LTQ Orbitrap system (Thermo Scientific) whereas H1-hESC (MudPIT protocol), \
H1-neurons sample were analyzed on the Q Exactive system (Thermo Scientific).\
\
Release Notes
\
This is Release 1 of this track (Sept 2012). Unlike other ENCODE data, these data are not archived at GEO but at Proteome Commons. The first 32 digits of the Tranche Hash for each data set is stored as the labExpId.\
\
Credits
\
Proteogenomic mapping: Dr. John Wrobel, Dr. Jainab Khatun, Mr. Brian Risk, \
and Mr. David Thomas (Giddings Lab).
\
Proteomic analysis: Dr. Yanbao Yu, Dr. Harsha Gunawardena, Dr. Ling Xie and \
Ms. Li Wang (Chen Lab).\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until\
nine months following the release of the dataset. This date is listed\
in\
the Restricted Until column above. The full data release policy for ENCODE is available\
here.
The ENCODE project has revealed the functional elements of segments\
of the human genome in unprecedented detail. However, the ability to\
clearly distinguish transcripts designated for translation into protein\
versus those that serve purely regulatory roles remains elusive. The\
standard means for doing this is to measure the proteins, if any, that\
are produced by transcripts via mass spectrometry-based proteogenomic\
mapping. In this process, chromatographically fractionated peptides are\
fed into a tandem mass spectrometer (MS/MS). The series of fragment\
masses produced in MS/MS create a signature that can then be used to\
identify the peptide from a protein or DNA sequence database. For\
proteogenomic mapping, this identifying spectrum is mapped directly\
back to its most likely encoding locus on a genome sequence (Giddings, et al. 2003). This\
allows the direct verification of protein-encoding transcripts.
\
\
The proteogenomic track displays mass spectrometry data that have\
been matched to the genomic sequence for selected cell lines, using a\
workflow and software specifically designed for this purpose.
\
The proteogenomic tracks can be used to identify which parts of the\
genome are translated into proteins, to verify which transcripts\
discovered by ENCODE are protein-encoding, and can also reveal new\
genes and/or splice variants of genes. Of particular interest may be\
its ability to reveal the translation of small open reading frames (ORFs), antisense\
transcripts, or sites annotated as introns that encode proteins.\
\
\
Display Conventions and Configuration
\
\
The display for this track shows peptide mappings as contiguous,\
rectangular items. These items are rendered in grayscale according to the\
score, with darker items representing higher-confidence peptide mappings. \
The name of each item is the amino acid\
sequence of the peptide. If a period (.) appears at the end of a\
name, it signifies a stop codon. \
\
\
In addition to the displayed genomic coordinates, several additional\
fields are available for each track item. \
\
\
The Raw Score reflects\
the strength of the peptide mapping, in contrast to\
the Score field which\
reflects the confidence of the mapping. The Score field is computed as -100×log10(E-Value) for the peptide mapping, and\
scores of 200 or greater have an estimated 5% false discovery rate\
(FDR) while scores of 230 or greater have an estimated 1%\
FDR. The Raw Score offers\
an additional level of confidence: raw scores of 300 or greater have\
an estimated 5% false discovery rate. Note\
that Raw Score is not\
normalized for the length of the peptide mapping,\
while Score is.\
Consequently, short mappings might have a\
strong Raw Score but a\
weaker\
Score.
\
The Spectrum ID is a\
semi-unique identifier of the spectrum associated with the peptide\
mapping, and can be used to track the origins of the mapping. \
\
The Peptide Rank \
indicates the rank of each peptide/spectrum mapping. A spectrum can\
be chimeric, containing more than one peptide, and the spectrum can be\
mapped with confidence to two or more distinct peptides. Peptides\
with ranks greater than 3 are deleted from the track.
\
The Peptide Repeat Count\
indicates the number of places in the genome that match the peptide\
sequence. This reflects the uniqueness of the peptide mapping in the\
genome. Any mappings to highly-duplicated regions will have a\
high Peptide Repeat Count and\
peptides which were repeated more than 10 times in the genome were\
deleted from the track. \
\
\
\
Methods
\
\
ENCODE cell lines K562 and GM12878 were used for large scale\
proteomic analysis. Cell lines were cultured according to standard\
ENCODE cell culture protocols\
and in-gel digestion was completed according to the standard\
protocol (Shevchenko, et al. 2007).
\
The proteolytic enzyme trypsin was used to digest the proteins\
in order to produce short, MS/MS analyzable peptides. Trypsin is a\
common protease that typically cleaves proteins after Arginine or Lysine. The\
metadata parameter enzyme specifies the restriction enzyme used\
for digestion. Tandem mass spectrometry (RPLC-MS/MS) analysis was then\
performed on an Eksigent Ultra-LTQ Orbitrap system. However, due\
to enzyme inefficiency, it does not always cleave at Arginine or Lysine, so there\
may be peptides that include an uncleaved Arg/Lys site. The number of such\
missed cleavages allowed in the search is described by the metadata\
parameter miscleavages.\
We performed proteogenomic mapping (Jaffe, et al., 2004) with two missed cleavages\
allowed and using the whole human genomic sequence (UCSC hg19) via the\
genome fingerprint scanning (GFS) program (Giddings, et al. 2003) and newly \
developed Peppy \
(http://www.peppyresearch.com/). \
We used HMM_Score (Khatun, et al. 2008) to accurately match MS/MS\
spectra to their corresponding genome sequences. E-values are\
calculated, which estimate the number of results at the given score\
level which would be expected by random chance. We then empirically\
derived the false discovery rate for a given E-Value using a decoy\
database search and only those matches falling within the specified 5%\
FDR rate (E-Value <0.01) are included in the track. The results with\
10% FDR (E-Value <0.05) are available under the Downloads page as Raw Signal.
\
Release Notes
\
\
\
This is Release 2 (July 2012). It contains a total of seven Proteogenomics experiments\
with the addition of one experiment available by download only. Unlike other ENCODE data,\
these data are not archived at GEO but at Proteome Commons.\
The first 32 digits of the Tranche Hash for each data set is stored as the labExpId.\
\
\
Credits
\
Proteogenomic mapping: Dr. Jainab Khatun, Brian Risk, Mustaque\
Ahamed, Christopher Maier, Dr. John Wrobel and Dennis Crenshaw (Giddings Lab).
\
Proteomic analysis: Drs. Yanbao Yu and Ling Xie (Chen Lab).
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset\
until\
nine months following the release of the dataset. This date is listed\
in\
the Restricted Until column on the track configuration page\
and\
the download page. The full data release policy for ENCODE is available\
here.
\
This track shows protein sequences and annotations on them from the UniProt/SwissProt database,\
mapped to genomic coordinates. \
\
\
UniProt/SwissProt data has been curated from scientific publications by the UniProt staff,\
UniProt/TrEMBL data has been predicted by various computational algorithms.\
The annotations are divided into multiple subtracks, based on their "feature type" in UniProt.\
The first two subtracks below - one for SwissProt, one for TrEMBL - show the\
alignments of protein sequences to the genome, all other tracks below are the protein annotations\
mapped through these alignments to the genome.\
\
\
\
\
Track Name
\
Description
\
\
\
UCSC Alignment, SwissProt = curated protein sequences
\
Protein sequences from SwissProt mapped to the genome. All other\
tracks are (start,end) SwissProt annotations on these sequences mapped\
through this alignment. Even protein sequences without a single curated \
annotation (splice isoforms) are visible in this track. Each UniProt protein \
has one main isoform, which is colored in dark. Alternative isoforms are \
sequences that do not have annotations on them and are colored in light-blue. \
They can be hidden with the TrEMBL/Isoform filter (see below).
\
\
UCSC Alignment, TrEMBL = predicted protein sequences
\
Protein sequences from TrEMBL mapped to the genome. All other tracks\
below are (start,end) TrEMBL annotations mapped to the genome using\
this track. This track is hidden by default. To show it, click its\
checkbox on the track configuration page.
\
\
UniProt Signal Peptides
\
Regions found in proteins destined to be secreted, generally cleaved from mature protein.
\
\
\
UniProt Extracellular Domains
\
Protein domains with the comment "Extracellular".
\
\
\
UniProt Transmembrane Domains
\
Protein domains of the type "Transmembrane".
\
\
\
UniProt Cytoplasmic Domains
\
Protein domains with the comment "Cytoplasmic".
\
\
\
UniProt Polypeptide Chains
\
Polypeptide chain in mature protein after post-processing.
\
\
\
UniProt Regions of Interest
\
Regions that have been experimentally defined, such as the role of a region in mediating protein-protein interactions or some other biological process.
\
\
\
UniProt Domains
\
Protein domains, zinc finger regions and topological domains.
\
\
\
UniProt Disulfide Bonds
\
Disulfide bonds.
\
\
\
UniProt Amino Acid Modifications
\
Glycosylation sites, modified residues and lipid moiety-binding regions.
\
\
\
UniProt Amino Acid Mutations
\
Mutagenesis sites and sequence variants.
\
\
\
UniProt Protein Primary/Secondary Structure Annotations
\
Beta strands, helices, coiled-coil regions and turns.
\
\
\
UniProt Sequence Conflicts
\
Differences between Genbank sequences and the UniProt sequence.
\
\
\
UniProt Repeats
\
Regions of repeated sequence motifs or repeated domains.
\
\
\
UniProt Other Annotations
\
All other annotations, e.g. compositional bias
\
\
\
\
For consistency and convenience for users of mutation-related tracks,\
the subtrack "UniProt/SwissProt Variants" is a copy of the track\
"UniProt Variants" in the track group "Phenotype and Literature", or \
"Variation and Repeats", depending on the assembly.\
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of UniProt/SwissProt annotations are labeled with a short name for\
the type of annotation (e.g. "glyco", "disulf bond", "Signal peptide"\
etc.). A click on them shows the full annotation and provides a link to the UniProt/SwissProt\
record for more details. TrEMBL annotations are always shown in \
light blue, except in the Signal Peptides,\
Extracellular Domains, Transmembrane Domains, and Cytoplamsic domains subtracks.
\
\
\
Mouse over a feature to see the full UniProt annotation comment. For variants, the mouse over will\
show the full name of the UniProt disease acronym.\
\
\
\
The subtracks for domains related to subcellular location are sorted from outside to inside of \
the cell: Signal peptide, \
extracellular, \
transmembrane, and cytoplasmic.\
\
\
\
Features in the "UniProt Modifications" (modified residues) track are drawn in \
light green. Disulfide bonds are shown in \
dark grey. Topological domains\
in maroon and zinc finger regions in \
olive green.\
\
\
\
Duplicate annotations are removed as far as possible: if a TrEMBL annotation\
has the same genome position and same feature type, comment, disease and\
mutated amino acids as a SwissProt annotation, it is not shown again. Two\
annotations mapped through different protein sequence alignments but with the same genome\
coordinates are only shown once.
\
\
On the configuration page of this track, you can choose to hide any TrEMBL annotations.\
This filter will also hide the UniProt alternative isoform protein sequences because\
both types of information are less relevant to most users. Please contact us if you\
want more detailed filtering features.
\
\
Note that for the human hg38 assembly and SwissProt annotations, there\
also is a public\
track hub prepared by UniProt itself, with \
genome annotations maintained by UniProt using their own mapping\
method based on those Gencode/Ensembl gene models that are annotated in UniProt\
for a given protein. For proteins that differ from the genome, UniProt's mapping method\
will, in most cases, map a protein and its annotations to an unexpected location\
(see below for details on UCSC's mapping method).
\
\
Methods
\
\
\
Briefly, UniProt protein sequences were aligned to the transcripts associated\
with the protein, the top-scoring alignments were retained, and the result was\
projected to the genome through a transcript-to-genome alignment.\
Depending on the genome, the transcript-genome alignments was either\
provided by the source database (NBCI RefSeq), created at UCSC (UCSC RefSeq) or\
derived from the transcripts (Ensembl/Augustus). The transcript set is NCBI\
RefSeq for hg38, UCSC RefSeq for hg19 (due to alt/fix haplotype misplacements \
in the NCBI RefSeq set on hg19). For other genomes, RefSeq, Ensembl and Augustus \
are tried, in this order. The resulting protein-genome alignments of this process \
are available in the file formats for liftOver or pslMap from our data archive\
(see "Data Access" section below).\
\
\
An important step of the mapping process protein -> transcript ->\
genome is filtering the alignment from protein to transcript. Due to\
differences between the UniProt proteins and the transcripts (proteins were\
made many years before the transcripts were made, and human genomes have\
variants), the transcript with the highest BLAST score when aligning the\
protein to all transcripts is not always the correct transcript for a protein\
sequence. Therefore, the protein sequence is aligned to only a very short list\
of one or sometimes more transcripts, selected by a three-step procedure:\
\
Use transcripts directly annotated by UniProt: for organisms that have a RefSeq transcript track,\
proteins are aligned to the RefSeq transcripts that are annotated\
by UniProt for this particular protein.\
Use transcripts for NCBI Gene ID annotated by UniProt: If no transcripts are annotated on the\
protein, or the annotated ones have been deprecated by NCBI, but a NCBI Gene ID is\
annotated, the RefSeq transcripts for this Gene ID are used. This can result in multiple matching transcripts for a protein.\
Use best matching transcript: If no NCBI Gene is\
annotated, then BLAST scores are used to pick the transcripts. There can be multiple transcripts for one\
protein, as their coding sequences can be identical. All transcripts within 1% of the highest observed BLAST score are used.\
\
\
\
\
For strategy 2 and 3, many of the transcripts found do not differ in coding\
sequence, so the resulting alignments on the genome will be identical.\
Therefore, any identical alignments are removed in a final filtering step. The\
details page of these alignments will contain a list of all transcripts that\
result in the same protein-genome alignment. On hg38, only a handful of edge\
cases (pseudogenes, very recently added proteins) remain in 2023 where strategy\
3 has to be used.
\
\
In other words, when an NCBI or UCSC RefSeq track is used for the mapping and to align a\
protein sequence to the correct transcript, we use a three stage process:\
\
If UniProt has annotated a given RefSeq transcript for a given protein\
sequence, the protein is aligned to this transcript. Any difference in the\
version suffix is tolerated in this comparison. \
If no transcript is annotated or the transcript cannot be found in the\
NCBI/UCSC RefSeq track, the UniProt-annotated NCBI Gene ID is resolved to a\
set of NCBI RefSeq transcript IDs via the most current version of NCBI\
genes tables. Only the top match of the resulting alignments and all\
others within 1% of its score are used for the mapping.\
If no transcript can be found after step (2), the protein is aligned to all transcripts,\
the top match, and all others within 1% of its score are used.\
\
\
This system was designed to resolve the problem of incorrect mappings of\
proteins, mostly on hg38, due to differences between the SwissProt\
sequences and the genome reference sequence, which has changed since the\
proteins were defined. The problem is most pronounced for gene families\
composed of either very repetitive or very similar proteins. To make sure that\
the alignments always go to the best chromosome location, all _alt and _fix\
reference patch sequences are ignored for the alignment, so the patches are\
entirely free of UniProt annotations. Please contact us if you have feedback on\
this process or example edge cases. We are not aware of a way to evaluate the\
results completely and in an automated manner.
\
\
Proteins were aligned to transcripts with TBLASTN, converted to PSL, filtered\
with pslReps (93% query coverage, keep alignments within top 1% score), lifted to genome\
positions with pslMap and filtered again with pslReps. UniProt annotations were\
obtained from the UniProt XML file. The UniProt annotations were then mapped to the\
genome through the alignment described above using the pslMap program. This approach\
draws heavily on the LS-SNP pipeline by Mark Diekhans.\
Like all Genome Browser source code, the main script used to build this track\
can be found on Github.\
\
\
Older releases
\
\
This track is automatically updated on an ongoing basis, every 2-3 months.\
The current version name is always shown on the track details page, it includes the\
release of UniProt, the version of the transcript set and a unique MD5 that is\
based on the protein sequences, the transcript sequences, the mapping file\
between both and the transcript-genome alignment. The exact transcript\
that was used for the alignment is shown when clicking a protein alignment\
in one of the two alignment tracks.\
\
\
\
For reproducibility of older analysis results and for manual inspection, previous versions of this track\
are available for browsing in the form of the UCSC UniProt Archive Track Hub (click this link to connect the hub now). The underlying data of\
all releases of this track (past and current) can be obtained from our downloads server, including the UniProt\
protein-to-genome alignment.
\
\
Data Access
\
\
\
The raw data of the current track can be explored interactively with the\
Table Browser, or the\
Data Integrator.\
For automated analysis, the genome annotation is stored in a bigBed file that \
can be downloaded from the\
download server.\
The exact filenames can be found in the \
track configuration file. \
Annotations can be converted to ASCII text by our tool bigBedToBed\
which can be compiled from the source code or downloaded as a precompiled\
binary for your system. Instructions for downloading source code and binaries can be found\
here.\
The tool can also be used to obtain only features within a given range, for example:\
Lifting from UniProt to genome coordinates in pipelines
\
To facilitate mapping protein coordinates to the genome, we provide the\
alignment files in formats that are suitable for our command line tools. Our\
command line programs liftOver or pslMap can be used to map\
coordinates on protein sequences to genome coordinates. The filenames are\
unipToGenome.over.chain.gz (liftOver) and unipToGenomeLift.psl.gz (pslMap).
\
This track was created by Maximilian Haeussler at UCSC, with a lot of input from Chris\
Lee, Mark Diekhans and Brian Raney, feedback from the UniProt staff, Alejo\
Mujica, Regeneron Pharmaceuticals and Pia Riestra, GeneDx. Thanks to UniProt for making all data\
available for download.\
NOTE: \
This track is intended for use primarily by physicians and other\
professionals concerned with genetic disorders, by genetics researchers, and\
by advanced students in science and medicine. While the genome browser database\
is open to the public, users seeking information about a personal medical or\
genetic condition are urged to consult with a qualified physician for\
diagnosis and for answers to personal questions.
\
\
\
This track shows the genomic positions of natural and artifical amino acid variants\
in the UniProt/SwissProt database.\
The data has been curated from scientific publications by the UniProt staff.\
\
\
Display Conventions and Configuration
\
\
\
Genomic locations of UniProt/SwissProt variants are labeled with the amino acid\
change at a given position and, if known, the abbreviated disease name. A\
"?" is used if there is no disease annotated at this location, but the\
protein is described as being linked to only a single disease in UniProt.\
\
\
\
Mouse over a mutation to see the UniProt comments.\
\
\
\
Artificially-introduced mutations are colored green and naturally-occurring variants are colored\
red. For full information about a particular variant, click the "UniProt variant" linkout. \
The "UniProt record" linkout lists all variants of a particular protein sequence.\
The "Source articles" linkout lists the articles in PubMed that originally described\
the variant(s) and were used as evidence by the UniProt curators.\
\
\
Methods
\
\
\
UniProt sequences were aligned to RefSeq sequences first with BLAT, then lifted\
to genome positions with pslMap. UniProt variants were parsed from the UniProt\
XML file. The variants were then mapped to the genome through the alignment\
using the pslMap program. This mapping approach\
draws heavily on the LS-SNP pipeline by Mark Diekhans. The complete script is\
part of the kent source tree and is located in src/hg/utils/uniprotMutations. \
\
\
Data Access
\
\
\
The raw data can be explored interactively with the\
Table Browser, or the\
Data Integrator.\
For automated analysis, the genome annotation is stored in a bigBed file that\
can be downloaded from the\
download server.\
The underlying data file for this track is called spMut.bb. Individual \
regions or the whole genome annotation can be obtained using our tool bigBedToBed \
which can be compiled from the source code or downloaded as a precompiled binary\
for your system. Instructions for downloading source code and binaries can be found\
here. \
The tool can also be used to obtain only features within a given range, for example:\
\
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg19/bbi/uniprot/spMut.bb -chrom=chr6 -start=0 -end=1000000 stdout \
\
Please refer to our\
mailing list archives\
for questions, or our\
Data Access FAQ\
for more information. \
\
\
\
Credits
\
\
\
This track was created by Maximilian Haeussler, with advice from Mark Diekhans and Brian Raney.\
These tracks display chromatin immunoprecipitation (ChIP-seq) evidence as\
part of the four Open Chromatin track sets (see below).\
ChIP-seq is a method to identify the specific location of proteins that are\
directly or indirectly bound to genomic DNA. By identifying the binding location\
of sequence-specific transcription factors, general transcription\
machinery components, and chromatin factors, ChIP can help in the functional\
annotation of the open chromatin regions identified by DNaseI HS mapping and\
FAIRE.\
\
Together with\
DNaseI HS and FAIRE experiments, these tracks display the locations of active\
regulatory elements identified as open chromatin in\
multiple cell types\
from the Duke, UNC-Chapel Hill, UT-Austin, and EBI ENCODE group.\
Within this project, open chromatin was identified using two\
independent and complementary methods: DNaseI hypersensitivity (HS)\
and Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE),\
combined with these ChIP-seq assays for select\
regulatory factors. DNaseI HS and FAIRE provide assay\
cross-validation with commonly identified regions delineating the\
highest confidence areas of open chromatin. These ChIP assays provide\
functional validation and preliminary annotation of a subset of\
open chromatin sites. Each method employed Illumina (formerly Solexa)\
sequencing by synthesis as the detection platform.\
The Tier 1 and Tier 2 cell types were additionally verified by a\
second platform, high-resolution 1% ENCODE tiled microarrays supplied by NimbleGen.\
\
As a background control experiment, the input genomic DNA sample that\
was used for ChIP was sequenced. Crosslinked chromatin\
was sheared and the crosslinks were reversed without carrying out the\
immunoprecipitation step. This sample was otherwise processed in a manner\
identical to the ChIP sample as described below. The input track is\
useful in revealing potential artifacts arising from the sequence\
alignment process such as copy number differences between the\
reference genome and the sequenced samples, as well as regions of\
poor sequence alignability. For cell lines for which there is \
no input experiment available, the peaks were generated using the control\
of generic_male or generic_female, as an attempt to create a general\
background based on input data from several cell types. These files\
are in "iff" format, which is used when calling peaks with\
F-seq software, and can be downloaded from the\
production lab directly\
from under the section titled "Copy number / karyotype correction."\
\
Other Open Chromatin track sets:\
\
Data for the DNaseI HS experiments can be found in\
Duke DNaseI HS.\
Data for the FAIRE experiments can be found in\
UNC FAIRE.\
A synthesis of all the open chromatin assays for select cell lines can\
be found in\
Open Chrom Synth.\
\
\
Display Conventions and Configuration
\
\
This track is a multi-view composite track that contains a single data type\
with multiple levels of annotation (views). For each view, there are\
multiple subtracks representing different cell types that display individually\
on the browser. Instructions for configuring multi-view tracks are\
here.\
ChIP data displayed here represents a continuum of signal intensities.\
The Iyer lab recommends setting the "Data view scaling: auto-scale"\
option when viewing signal data in full mode to see the full dynamic\
range of the data. Note that in regions that do not have open chromatin sites,\
autoscale will rescale the data and inflate the background signal, making the\
regions appear noisy. Changing back to fixed scale will alleviate this issue.\
In general, for each experiment in each of the cell types, the\
UTA TFBS tracks contain the following views:\
\
Peaks
\
Regions of enriched signal in ChIP experiments.\
Peaks were called based on signals created using F-Seq, a software program\
developed at Duke (Boyle et al., 2008b). Significant regions were\
determined by fitting the data to a gamma distribution to calculate p-values.\
Contiguous regions where p-values were below a 0.05/0.01 threshold were\
considered significant. The solid vertical line in the peak represents the\
point with highest signal.
\
F-Seq Density Signal
\
Density graph (wiggle) of signal\
enrichment calculated using F-Seq for the combined set of sequences from all\
replicates. F-Seq employs Parzen kernel density estimation to create base pair\
scores (Boyle et al., 2008b). This method does not look at fixed-length\
windows but rather weights contributions of nearby sequences in proportion to\
their distance from that base. It only considers sequences aligned 4 or less\
times in the genome and uses an alignability background model to try to correct\
for regions where sequences cannot be aligned. For each cell type, especially\
important for those with an abnormal karyotype, a model to try to correct for\
amplifications and deletions that is based on control input data was also used.
\
Base Overlap Signal
\
An alternative version of the\
F-Seq Density Signal track annotation that provides a higher resolution\
view of the raw sequence data. This track also includes the combined set of\
sequences from all replicates. For each sequence, the aligned read is\
extended 5 bp in both directions from its 5' aligned end where DNase cut\
the DNA. The score at each base pair represents the number of\
extended fragments that overlap the base pair.
\
\
\
Peaks and signals displayed in this track are the results of pooled replicates. The raw\
sequence and alignment files for each replicate are available for\
download.\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
To perform ChIP, proteins were cross-linked to DNA in vivo\
using 1% formaldehyde solution (Bhinge et al., 2007; ENCODE\
Project Consortium, 2007). Cross-linked chromatin was sheared by sonication\
and immunoprecipitated using a specific antibody against the protein of\
interest. After reversal of the cross-links, the immunoprecipitated DNA was\
used to identify the genomic location of transcription factor binding. This\
was accomplished by sequencing of the ends of the immunoprecipitated DNA\
(ChIP-seq) using the Illumina (Solexa) sequencing system. ChIP data for\
Tier 1 and Tier 2 cell lines were verified by comparing multiple independent\
growths (replicates) and determining the reproducibility of the data. For\
some cell types, additional verification was performed using the same\
immunoprecipitated DNA by labeling and hybridizing to NimbleGen Human\
ENCODE tiling arrays (1% of the genome) along with the input DNA as reference\
(ChIP-chip). A more detailed protocol is available\
here.\
\
DNA fragments isolated by ChIP are 100-200 bp in length, with the average\
length being 134 bp. Sequences from each experiment were aligned to the\
genome using Burrows-Wheeler Aligner (Li et al., 2010) for the GRCh37 (hg19) assembly.\
Where genome.fa is the whole genome sequence and s_1.sequence.txt.bfq is one lane\
of sequences converted into the required bfq format.
\
\
Sequences from multiple lanes\
are combined for a single replicate using the bwa samse command, and converted\
in the sam/bam format using SAMtools.\
\
Only those that aligned to 4 or fewer locations were retained. Other sequences\
were also filtered based on their alignment to problematic regions\
(such as satellites and rRNA genes - see\
supplemental materials).\
The mappings of these short reads to the genome are available for\
\
download.\
\
The resulting digital signal was converted to a continuous wiggle track using\
F-Seq that employs Parzen kernel density estimation to create base pair scores\
(Boyle et al., 2008b). Input data has been generated for several\
cell lines. These are used directly to create a control/background model used\
for F-Seq when generating signal annotations for these cell lines.\
These models are meant to correct for sequencing biases, alignment artifacts,\
and copy number changes in these cell lines. Input data is not being generated\
directly for other cell lines. Instead, a general background model was derived\
from the available input data sets. This should provide corrections for\
sequencing biases and alignment artifacts, but will not correct for cell\
type specific copy number changes.\
Where the (bff files) are the background files based on alignability, the\
(iff files) are the background files based on the input experiments,\
and alignments.bed are a bed file of filtered sequence alignments.
\
\
Discrete ChIP sites (peaks) were identified from ChIP-seq F-seq\
density signal. Significant regions were determined by fitting the\
data to a gamma distribution to calculate p-values. Contiguous regions\
where p-values were below a 0.05/0.01 threshold were considered significant.\
\
Data from the high-resolution 1% ENCODE tiled microarrays supplied by\
NimbleGen were normalized using the Tukey biweight normalization, and peaks\
were called using ChIPOTle (Buck, et al., 2005) at multiple levels\
of significance. Regions matched on size to these peaks that were devoid of\
any significant signal were also created as a null model. These data were used\
for additional verification of Tier 1 and Tier 2 cell lines by ROC analysis.\
Files labeled Validation view containing this data are available for\
download.\
\
\
\
Release Notes
\
\
\
Release 2 (August 2011) of this track adds 34 new experiments including 17 new cell lines.\
\
\
Enhancer and Insulator Functional assays: A subset of DNase and FAIRE\
regions were cloned into functional tissue culture reporter assays to test for\
enhancer and insulator activity. Coordinates and results from these\
experiments can be found\
here.\
\
\
Credits
\
\
\
These data and annotations were created by a collaboration of multiple\
institutions (contact:\
\
Terry Furey)\
\
\
Data users may freely use ENCODE data, but may not, without prior consent,\
submit publications that use an unpublished ENCODE dataset until nine months\
following the release of the dataset. This date is listed in the Restricted\
Until column on the track configuration page and the download page. The\
full data release policy for ENCODE is available here.\
regulation 1 compositeTrack on\
configurable on\
controlledVocabulary encode/cv.ra cellType=cell factor=antibody treatment=treatment\
dataVersion ENCODE July 2011 Freeze\
dimensionAchecked AANONE\
dimensions dimA=treatment dimensionY=cellType dimensionX=factor\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line treatment=Treatment antibody=Antibody Target replicate=Replicate controlId=Control_ID view=View dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
filterComposite dimA=multi\
group regulation\
html wgEncodeOpenChromChip.release2\
longLabel Open Chromatin TFBS by ChIP-seq from ENCODE/Open Chrom(UT Austin)\
noInherit on\
priority 0\
shortLabel UTA TFBS\
sortOrder cellType=+ factor=+ treatment=+ view=+\
subGroup1 view Views Peaks=Peaks SIG=Density_Signal SIGBO=Overlap_Signal\
subGroup2 cellType Cell_Line t1GM12878=GM12878 (Tier_1) t1H1HESC=H1-hESC (Tier_1) t1K562=K562 (Tier_1) t2A549=A549 (Tier_2) t2HELAS3=HeLa-S3 (Tier_2) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t2MCF7=MCF-7 (Tier_2) t2MONOCYTESCD14RO01746=Monocytes_CD14+_RO01746 (Tier_2) t3COLONOC=Colon_OC t3FIBROBL=Fibrobl t3GLIOBLA=Gliobla t3GM10248=GM10248 t3GM10266=GM10266 t3GM12891=GM12891 t3GM12892=GM12892 t3GM13976=GM13976 t3GM13977=GM13977 t3GM19238=GM19238 t3GM19239=GM19239 t3GM19240=GM19240 t3GM20000=GM20000 t3HEARTOC=Heart_OC t3KIDNEYOC=Kidney_OC t3LNCAP=LNCaP t3LUNGOC=Lung_OC t3MEDULLO=Medullo t3NHEK=NHEK t3PANCREASOC=Pancreas_OC t3PROGFIB=ProgFib t3SPLEENOC=Spleen_OC\
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subGroup4 treatment Treatment AANONE=None ANDRO=Androgen ESTRO=Estradiol SERUMSTAVD=serum_starved_media SERUMSTIM=serum_stimulated_media VEH=vehicle\
superTrack wgEncodeTfBindingSuper hide\
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type bed 3\
useScore 0\
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wgEncodeUw5C UW 5C downloadsOnly Chromatin Interactions by 5C from ENCODE/University of Washington 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track contains chromatin interaction data from the University of Washington ENCODE\
group generated using 5C (Chromatin Conformation Capture Carbon Copy).\
The 5C method is used here to define short and long-range range interactions \
between transcription start sites (TSS) and DNaseI hypersensitive sites (DHS) or other genomic features.\
The 5C method is summarized below.
\
\
Transcription factors bind to promoter-associated proteins, bringing the associated DNA sequences in close proximity to each other. Cross linking the DNA and proteins immobilizes these interactions and thus maintains their close proximity. Cleavage of the sample with restriction endonuclease followed by ligation results in hybrid molecules where a fragment with a regulatory element is physically associated with a fragment containing a TSS. The interactions are then detected by oligonucleotide-dependent, ligation-mediated assays, where one set of primers is complementary to the end of fragments with a TSS and the second set of primers are complementary to fragments with a feature. Primers are designed to the forward strand of the feature and the reverse strand of the TSS so that ligation only occurs between TSS and feature, not between different features. Specific interactions are detected by massively parallel sequencing.
\
\
\
\
The data in this track comprises two different experiment types focusing on targeted\
regions:\
\
\
\
Gene-targeted project\
\
\
Analysis of DNase I hypersensitive sites reveals many genes where there\
are multiple sites restricted to the cell type where a protein\
is observed to be expressed. These sites potentially identify regulatory sites for the gene.\
This set of experiments attempts to observe interactions between these DHS sites and transcription starts\
in 25 regions selected based on genes expressed in GM06990 (B-lymphocyte),\
BJ (foreskin fibroblast), HepG2 (liver cancer cell line), or SK-N-SH_RA\
(neuroblastoma cell line, SKNSH, differentiated with retinoic acid).\
\
Myc project\
\
Genome wide association studies have identified SNPs linked to prostate, colon, and\
breast cancer in the gene desert region upstream of the myc gene.\
5C of HindIII fragments interacting with those containing refSeq txStarts in \
this region were performed in 5 cell types: GM12878 (B-lymphocyte), \
CaCo2 (colon cancer cell line), LNCaP (prostate cancer cell line), MCF7\
(breast cancer cell line), and K562 (erythroleukemia cell line).\
\
\
File Conventions
\
\
\
The following types of data are available for download:\
\
\
Matrix
\
\
Interaction files are in a matrix format indicating interaction strength,\
with "reverse primer name | genome version | reverse HindIII fragment coordinates" in\
the top row and "forward primer name | genome version | forward primer fragment coordinates"\
in the first column. The number of sequences mapped to each interaction fills the matrix.\
\
In order to understand the Matrix data, you must download the associated primer data file.\
\
\
Primer
\
\
Primer data files include the sequences of the primers used in the experiments and\
sequences for control sites in the ENCODE pilot ENr313 gene desert region on chr16.\
These files are available for download in the supplemental materials.
\
Raw Data
\
\
Sequencing files are provided in fastQ format.
\
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
The isolated nuclei were formaldehyde cross-linked. The DNA isolated from the nuclei was cleaved with restriction enzyme, ligated, and cross-links removed to create a 3C library (Dekker et al., 2002). Primers complementary to the TSS and feature were added, annealed and ligated to produce a 5C library (Dostie et al., 2006). The DNA fragments generated in the ligation mediated-reactions were partially digested with DNaseI, end-repaired and ligated to adapters, before sequencing. \
The sequencing reads generated were mapped to the predicted ligation products. \
The number of sequences mapping to predicted junction fragments were tabulated from sequencing runs. \
The number of times a sequence was detected for a given interaction between a TSS and feature indicates the relative strength of the interation.\
\
Gene-targeted project\
\
Forward primers were\
designed to HindIII sites in a 230-415 kb sequence centered on the DNase I hypersensitive sites\
of interest. Reverse primers were designed to HindIII sites for all transcription starts extending\
1 Mb on either side of the region targeted by the forward primer set. Matrix files are labeled by\
the coordinates of the region covered by the forward primer set. These experiments were done in a\
multiplex manner with the forward and reverse primers for all 25 regions mixed together in a single\
reaction. Two replicates were performed for 4 cell lines for 25 regions.\
High-throughput sequencing was performed on an ABI SOLiD instrument collecting 50 bp reads.\
The interaction files provided map all the reads in the output sequence without a mismatch threshold. \
\
Myc project\
\
Forward primers were designed\
to HindIII fragments of 4.29 Mb section of human chromosome 8 centered on the gene desert 5~R of the\
myc gene. Reverse primers were designed to all HindIII fragments containing refseq txStarts in a 7.6 Mb\
region extending > 2 Mb on either side of the forward primer set. \
High-throughput sequencing was performed on an ABI SOLiD instrument collecting 50 bp reads.\
The interaction files provided map all the reads in the output sequence without a mismatch threshold. \
\
\
Verification
\
\
\
Data were verified by sequencing biological replicates displaying correlation coefficient > 0.9. \
\
\
Credits
\
\
\
These data were generated by the University of Washington ENCODE Group.
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
\
regulation 0 fileSortOrder cell=Cell_Line view=View replicate=Replicate region=Region dccAccession=UCSC_Accession geoSampleAccession=GEO_Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
group regulation\
longLabel Chromatin Interactions by 5C from ENCODE/University of Washington\
shortLabel UW 5C\
superTrack wgEncodeChromSuper dense\
track wgEncodeUw5C\
type downloadsOnly\
wgEncodeUwAffyExonArray UW Affy Exon bed 6 + Affymetrix Exon Array from ENCODE/University of Washington 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track displays human tissue microarray data using\
Affymetrix Human Exon 1.0 GeneChip\
and was produced as part of the ENCODE Project. \
This track in the hg19 assembly is a continuation of the work displayed in\
the hg18 assembly with additional cell lines.\
\
\
Display Conventions and Configuration
\
\
\
The display for this track shows probe location and signal value\
as grayscale-colored items where higher\
signal values correspond to darker-colored blocks. Items with score of 1000\
are in the highest 10% quantile for signal value of that particular cell type.\
Similarly, items scoring 900 are the next 10% quantile and at the bottom of\
scale, items scoring 100 are in the lowest 10% quantile for signal value.\
\
The subtracks within this composite annotation track correspond to data from \
different cell types and tissues. The configuration options are \
shown at the top of the track description page, followed by a list of \
subtracks. \
To display only selected subtracks, uncheck the boxes next to the tracks you \
wish to hide.\
\
For information regarding specific microarray probes, look under the \
"Expression" track group and turn on the\
Affy Exon Array track.\
\
Metadata for a particular subtrack can be found by clicking the down arrow\
in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved \
ENCODE cell culture protocols.\
A subset of the cells were stored frozen in RNAlater. For the WI-38 Tamoxifen-treated\
(4OHTAM_20nM_72hr)\
cell type, cells at 50-80% confluency were treated for 72 hours with 20 nM\
4-hydroxytamoxifen in growth medium (from a 1000X working stock in absolute ethanol).\
At harvest, greater than 95% of DNA synthesis was inhibited and the cells had \
an induced fusiform/round morphology with greater than 95% showing dramatic\
senescence-associated heterochromatic foci. Total RNA was labeled and hybridized\
to Affymetrix Human Exon 1.0 ST V2 arrays using hg19 probesets. Exon and gene level\
expression analysis were carried out using Affymetrix ExACT 1.2.1 and Affymetrix\
Expression Console 1.1 software tools. Samples were quantile normalized for\
background correction and Probe Logarithmic Intensity Error summarized. \
More detailed methods are\
\
here.\
\
\
\
Release Notes
\
\
\
This is release 4 (Jul 2012) of this track. A patch update has removed previously released\
K562 zinc-finger experiments due to a data merging issue. This update adds in H7-hESC cells that have been differentiated with different time courses.\
\
\
\
Verification
\
\
\
Data were verified by sequencing biological replicates displaying correlation\
coefficient of 0.9 or greater.\
\
\
Credits
\
\
These data were generated by the University of Washington ENCODE group.
Data users may freely use ENCODE data, but may not, without prior \
consent, submit publications that use an unpublished ENCODE dataset until \
nine months following the release of the dataset. This date is listed in \
the Restricted Until column, above. The full data release policy \
for ENCODE is available \
here.
This track was produced as part of the ENCODE Project.\
This track displays maps of genome-wide binding of the CTCF transcription factor in different \
cell lines\
using ChIP-seq high-throughput sequencing.\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
For each cell type, this track contains the following views:\
\
HotSpots\
ChIP-seq affinity zones identified using the HotSpot algorithm.\
Peaks\
ChIP-seq affinity sites identified as signal peaks within\
affinity zones (FDR 1.0%).\
Raw Signal\
The density of tags mapping within a 150 bp sliding window\
(at a 20 bp step across the genome).\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Cells were crosslinked with 1% formaldehyde, and the reaction was quenched\
by the addition of glycine. Fixed cells were rinsed with PBS, lysed in nuclei\
lysis buffer, and the chromatin was sheared to 200-500 bp fragments using\
Fisher Dismembrator (model 500). Sheared chromatin fragments were\
immunoprecipitated with specific polyclonal antibodies at 4 °C\
with gentle rotation. Antibody-chromatin complexes were washed and eluted.\
The cross linking in immunoprecipitated DNA was reversed and treated with\
RNase-A. Following proteinase K treatment, the DNA fragments were purified\
by phenol-chloroform-isoamyl alcohol extraction and ethanol precipitation.\
A quantity of 20-50 ng of ChIP DNA was end-repaired, adenine ligated to Illumina adapters was added, and a\
Solexa library was made for sequencing.\
\
ChIP-seq affinity was directly measured through\
raw tag density (Raw Signal), which is shown in the track as density of tags\
mapping within a 150 bp sliding window (at a 20 bp step across the genome).\
ChIP-seq affinity zones (HotSpots) were identified using the\
HotSpot algorithm described in Sabo et al. (2004);\
1.0% false discovery rate thresholds (FDR 0.01) were computed for each cell type by\
applying the HotSpot algorithm to an equivalent number of random\
uniquely mapping 36mers. ChIP-seq affinities (Peaks)\
were identified as signal peaks within affinity\
zones (FDR 1.0%) using a peak-finding algorithm.\
\
\
All tracks have a False Discovery Rate of 1% (FDR 1.0%).\
\
\
Verification
\
\
\
Data were verified by sequencing biological replicates displaying correlation\
coefficients > 0.9.\
\
\
Release Notes
\
\
\
Release 3 (February 2012) contains 3 new experiments. \
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
This track, produced as part of the ENCODE Project, contains deep sequencing DNase data\
that will be used to identify sites where regulatory factors bind to the genome\
(footprints).
\
Footprinting is a technique used to define the DNA sequences that interact\
with and bind DNA-binding proteins, such as transcription factors,\
zinc-finger proteins, hormone-receptor complexes, and other \
chromatin-modulating factors like CTCF. The technique depends upon the\
strength and tight nature of protein-DNA interactions. In their native chromatin\
state, DNA sequences that interact directly with DNA-binding proteins are\
relatively protected from DNA-degrading endonucleases, while the exposed/unbound\
portions are readily degraded by such endonucleases. A massively parallel\
next-generation sequencing technique to define the DNase hypersensitive sites\
in the genome was adopted. The DNase samples were sequenced using next-generation\
sequencing machines to significantly higher depths of 300-fold or greater. This produces\
a base-pair level resolution of the DNase susceptibility maps of the native\
chromatin state. These base-pair resolution maps represent and are dependent\
upon the nature and the specificity of interaction of the DNA with the\
regulatory/modulatory proteins binding at specific loci in the genome; thus\
they represent the native chromatin state of the genome under investigation.\
The deep sequencing approach has been used to define the footprint landscape of\
the genome by identifying DNA motifs that interact with known or novel DNA-binding proteins.\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
For each cell type, this track contains the following views:\
\
HotSpots\
DNaseI hypersensitive zones identified using the HotSpot algorithm.\
Peaks\
DNaseI hypersensitive sites (DHSs) identified as signal peaks within \
FDR 1.0% hypersensitive zones.\
\
Signal\
Per-base count of sequence reads whose 5' end (corresponding to a \
DNaseI-induced DNA cut) coincides with the given position.\
\
Raw Signal\
The density of tags mapping within a 150 bp sliding window\
(at a 20 bp step across the genome).\
\
NOTE: The names of the signal views in this track are reversed from conventions used in\
other ENCODE tracks, where the less processed signal is termed 'Raw'.\
\
DNaseI sensitivity is shown as the absolute density of in vivo \
cleavage sites across the genome mapped using the Digital DNaseI methodology \
(see below). \
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
\
Methods
\
\
Cells were grown according to the approved ENCODE cell culture\
protocols. Digital DNaseI was performed by DNaseI digestion of\
intact nuclei, followed by isolation of DNaseI 'double-hit' fragments as\
described in Sabo et al. (2006), and direct sequencing of\
fragment ends (which correspond to in vivo DNaseI cleavage\
sites) using the Solexa platform (27 bp reads). High-quality reads were\
mapped to the GRCh37/hg19 human genome using Bowtie 0.12.5 \
(Eland was used to map to NCBI36/hg18);\
only unique mappings were kept. DNaseI sensitivity is directly reflected \
in raw tag density (Signal), which is shown\
in the track as density of tags mapping within a 150 bp sliding window\
(at a 20 bp step across the genome). DNaseI hypersensitive zones\
(HotSpots) were identified using the HotSpot algorithm\
described in Sabo et al. (2004). False discovery rate thresholds \
of 1.0% (FDR 1.0%) were computed for each cell type by applying\
the HotSpot algorithm to an equivalent number of random uniquely\
mapping 36-mers. DNaseI hypersensitive sites (DHSs or Peaks)\
were identified as signal peaks within 1.0% (FDR 1.0%) hypersensitive zones\
using a peak-finding algorithm. Only DNase Solexa libraries from unique\
cell types producing the highest quality data, as defined by Percent\
Tags in Hotspots (PTIH ~40%), were designated for deep sequencing to a depth\
of over 200 million tags. \
\
\
\
\
Verification
\
\
\
Results were validated by \
conventional DNaseI hypersensitivity assays using end-labeling/Southern \
blotting methods. \
\
Images and their associated mappings can be found in the supplemental data. \
\
Release Notes
\
\
\
This is Release 4 (August 2012) of this track, which includes 10 new experiments across 8 cell lines.\
\
\
A number of previously released Peaks have been replaced by updated versions.\
The affected database tables and files include 'V2' in the name, and metadata is marked with "submittedDataVersion=V2",\
followed by the reason for replacement, "Fixed bug in peak calls that artificially reduced the number of peaks".\
\
\
Previous versions of files are available for download from the\
FTP site.\
\
\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column, above.\
The full data release policy for ENCODE is available here.\
regulation 1 compositeTrack on\
controlledVocabulary encode/cv.ra cellType=cell treatment=treatment\
dataVersion ENCODE July 2012 Freeze\
dimensions dimensionY=cellType dimensionX=treatment\
dragAndDrop subTracks\
fileSortOrder cell=Cell_Line view=View origAssembly=Original_Assembly dccAccession=UCSC_Accession geoSampleAccession=GEO_Sample Accession fileSize=Size fileType=File_Type dateSubmitted=Submitted dateUnrestricted=RESTRICTED Until\
group regulation\
html wgEncodeUwDgf.release4\
longLabel DNaseI Digital Genomic Footprinting from ENCODE/University of Washington\
noInherit on\
shortLabel UW DNaseI DGF\
sortOrder cellType=+ view=+\
subGroup1 view Views Hotspots=Hotspots Peaks=Peaks Signal=Signal zRaw=Raw_Signal\
subGroup2 cellType Cell_Line t1K562=K562 (Tier_1) t2A549=A549 (Tier_2) t2BCELLSCD20RO01778=B_cells_CD20+_RO01778 (Tier_2) t2HEPG2=HepG2 (Tier_2) t2HUVEC=HUVEC (Tier_2) t2LHCNM2=LHCN-M2 (Tier_2) t3AG10803=AG10803 t3AOAF=AoAF t3CD4NAIVEWB11970640=CD4+_Naive_Wb11970640 t3GM06990=GM06990 t3GM12865=GM12865 t3H7HESC=H7-hESC t3HAAH=HA-h t3HAASP=HA-sp t3HAEPIC=HAEpiC t3HCF=HCF t3HCFAA=HCFaa t3HCM=HCM t3HCPEPIC=HCPEpiC t3HEEPIC=HEEpiC t3HFF=HFF t3HGF=HGF t3HIPEPIC=HIPEpiC t3HMF=HMF t3HMVECDBLAD=HMVEC-dBl-Ad t3HMVECDBLNEO=HMVEC-dBl-Neo t3HMVECDLYNEO=HMVEC-dLy-Neo t3HMVECLBL=HMVEC-LBl t3HMVECLLY=HMVEC-LLy t3HPAF=HPAF t3HPDLF=HPdLF t3HPF=HPF t3HRCEPIC=HRCEpiC t3HSMM=HSMM t3HVMF=HVMF t3M059J=M059J t3NB4=NB4 t3NHA=NH-A t3NHDFAD=NHDF-Ad t3NHDFNEO=NHDF-neo t3NHLF=NHLF t3RPMI7951=RPMI-7951 t3SAEC=SAEC t3SKANSHRA=SK-N-SH_RA t3SKMC=SkMC t3T47D=T-47D t3TH01=Th1 t3TH01WB33676984=Th1_Wb33676984 t3TH02=Th2 t3TH02WB54553204=Th2_Wb54553204 t3TH17=Th17 t3TREGWB78495824=Treg_Wb78495824\
subGroup3 treatment Treatment aNONE=None DIFF4D=DIFF_4_d\
subGroup4 rep Replicate rep1=rep1 rep2=rep2\
superTrack wgEncodeDNAseSuper dense\
track wgEncodeUwDgf\
type bed 3\
wgEncodeUwDnase UW DNaseI HS bed 3 + DNaseI Hypersensitivity by Digital DNaseI from ENCODE/University of Washington 1 100 0 0 0 127 127 127 0 0 0
Description
\
\
This track was produced as part of the ENCODE Project.\
This track shows DNaseI sensitivity measured genome-wide in different\
cell lines\
using the Digital DNaseI methodology (see below) and DNaseI hypersensitive\
sites.\
DNaseI has long been used to map general chromatin accessibility and\
DNaseI hypersensitivity is a universal feature of active\
cis-regulatory sequences. The use of this method has led\
to the discovery of functional regulatory elements that include enhancers,\
insulators, promoters, locus control regions and novel elements.\
For each experiment (cell type), this track shows DNaseI sensitivity as a\
continuous function using sequencing tag density (Raw Signal) \
and discrete loci of DNaseI sensitive zones (HotSpots) and\
hypersensitive sites (Peaks).\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
\
For each cell type, this track contains the following views:\
\
HotSpots
\
DNaseI sensitive zones identified using the HotSpot algorithm.
\
Peaks
\
DNaseI hypersensitive sites (DHSs) identified as signal peaks within\
FDR 1.0% hypersensitive zones.
\
Raw Signal
\
The density of tags mapping within a 150 bp sliding window\
(at a 20 bp step across the genome).
\
\
\
DNaseI sensitivity is shown as the absolute density of in vivo\
cleavage sites across the genome mapped using the Digital DNaseI methodology\
(see below). \
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Digital DNaseI was performed by DNaseI digestion of intact\
nuclei, isolation of DNaseI 'double-hit' fragments as described in\
Sabo et al. (2006), and direct sequencing of fragment\
ends (which correspond to in vivo DNaseI cleavage sites)\
using the Illumina Geneome Analyzer II platform (36 bp reads). Uniquely mapping high-quality reads\
were mapped to the genome. DNaseI sensitivity is directly reflected in\
raw tag density (Raw Signal), which is shown in the track as density of tags\
mapping within a 150 bp sliding window (at a 20 bp step across the genome).\
DNaseI sensitive zones (HotSpots) were identified using the\
HotSpot algorithm\
described in Sabo et al. (2004). False discovery rate thresholds of 1.0% (FDR 1.0%) were computed\
for each cell type by applying the HotSpot algorithm to an equivalent number of random\
uniquely mapping 36mers. DNaseI hypersensitive sites (DHSs or Peaks)\
were identified as signal peaks within FDR 1.0% hypersensitive\
zones using a peak-finding algorithm.
\
\
Verification
\
\
Data were verified by sequencing biological replicates displaying a \
correlation coefficient > 0.9. Results were extensively validated by\
conventional DNaseI hypersensitivity assays using end-labeling/Southern\
blotting methods.
\
\
Release Notes
\
\
\
This is release 6 (July 2012) of this track. It includes 11 new experiments across 12 new cell lines: bone marrow HS27a, bone marrow HS5, bone marrow MSC, CD4+ Naive Wb11970640, \
CD4+ Naive Wb78495824, Th17, Th1 Wb33676984, Th1 Wb54553204, Th2 Wb33676984, Th2 Wb54553204, Treg Wb78495824, Treg Wb83319432.\
This release also removes previously release K562 zinc-finger experiments. There are questions concerning the data due to a merging issue.\
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
This track was produced as part of the ENCODE Project.\
This track displays genome-wide maps of histone modifications in different\
cell lines\
using ChIP-seq high-throughput sequencing.\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
For each cell type, this track contains the following views:\
\
HotSpots\
ChIP-seq affinity zones identified using the HotSpot algorithm.\
Peaks\
ChIP-seq affinity sites identified as signal peaks within\
FDR 1.0% affinity zones.\
Raw Signal\
The density of tags mapping within a 150 bp sliding window\
(at a 20 bp step across the genome).\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Cells were cross-linked with 1% formaldehyde, and the reaction was quenched\
by the addition of glycine. Fixed cells were rinsed with PBS, lysed in nuclei\
lysis buffer, and the chromatin was sheared to 200-500 bp fragments using a\
Fisher Dismembrator (model 500). Sheared chromatin fragments were\
immunoprecipitated with specific polyclonal antibodies at 4 °C\
with gentle rotation. Antibody-chromatin complexes were washed and eluted.\
The cross-linking in the immunoprecipitated DNA was reversed and treated with\
RNase-A. Following proteinase K treatment, the DNA fragments were purified\
by phenol-chloroform-isoamyl alcohol extraction and ethanol precipitation.\
A quantity of 20-50 ng of ChIP DNA was end-repaired, followed by addition of adenine,\
ligation to Illumina adapters, and creation of a Solexa library for sequencing.\
\
ChIP-seq affinity was directly measured through the\
raw tag density (Raw Signal), which is shown in the track as density of tags\
mapping within a 150 bp sliding window (at a 20 bp step across the genome).\
ChIP-seq affinity zones (HotSpots) were identified using the\
HotSpot algorithm described in Sabo et al. (2004).\
One percent false discovery rate thresholds (FDR 1.0%) were computed for each cell type by\
applying the HotSpot algorithm to an equivalent number of random\
uniquely mapping 36-mers. ChIP-Seq affinities (Peaks)\
were identified as signal peaks within FDR 1.0% hypersensitive\
zones using a peak-finding algorithm.\
\
\
All tracks have a False Discovery Rate of 1% (FDR 1.0%).\
\
\
Verification
\
\
\
Data were verified by sequencing biological replicates displaying a correlation\
coefficient greater than 0.9.\
\
\
Release Notes
\
\
Release 5 (July 2012) of this track removes experiments with K562/Zinc finger knockouts and adds in some missing inputs.\
\
Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column, above. The full data release policy for ENCODE is available\
here.\
This track is produced as part of the ENCODE Project.\
This track shows genome-wide assessment of DNA replication timing in\
cell lines\
using the sequencing-based "Repli-seq" methodology (see below).\
Replication timing is known to be an important feature for \
epigenetic control of gene expression that usually operates at a \
higher-order level than at the level of specific genes. \
For each experiment (cell line, replicate), \
replication timing was ascertained by the isolation and \
sequencing of newly replicated DNA from six cell cycle \
fractions: G1/G1b, S1, S2, S3, S4, G2 (six fraction profile). \
Replication patterns are visualized as a continuous \
function based on sequencing tag density (Percentage-normalized Signal) \
and as a wavelet-smoothed transform of the \
six fraction profile (Wavelet-smoothed Signal). \
Replication peaks corresponding to replication initiation \
zones (Peaks) and valleys corresponding to \
replication termination zones (Valleys) were \
determined from local maxima and minima, respectively, \
in the wavelet-smoothed signal data. A measure of relative copy \
number at each genomic location (Summed Densities) was \
determined by summing the normalized tag density values of each cell cycle fraction at that location (equals one replicated genome equivalent).\
\
\
Display Conventions and Configuration
\
\
\
This track is a multi-view composite track that contains multiple data types\
(views). For each view, there are multiple subtracks that display\
individually on the browser. Instructions for configuring multi-view tracks\
are here.\
\
\
For each cell type, this track contains the following views:\
\
Percentage-normalized Signal
\
Replication signal at 1 kb intervals as a percentage of normalized \
+/-25 kb tag densities for all cell cycle fractions (G1/G1b, S1, S2, S3, S4, G2).
\
Wavelet-smoothed Signal
\
Wavelet-smoothed transform of the six fraction profile that is a weighted average of the percentage-normalized signals such that earlier replication has higher values.
\
Peaks
\
Local maxima in the wavelet-smoothed signal data corresponding to replication initiation (replication origin) zones.
\
Valleys
\
Local minima in the wavelet-smoothed signal data corresponding to replication termination zones.
\
Summed Densities
\
A measure of relative copy number at each genomic location that is the sum of normalized tag densities for each cell cycle fraction.
\
\
\
\
Metadata for a particular subtrack can be found by clicking the down arrow in the list of subtracks.
\
\
Methods
\
\
\
Cells were grown according to the approved\
ENCODE cell culture protocols.\
Repli-seq was performed as described by Hansen et al. (2010). \
Briefly, newly replicated DNA was labeled in vivo with a pulse of 5-bromo-2-deoxyuridine (BrdU), \
cells were fractionated into six different parts of the cell cycle by \
flow cytometry according to DNA content, cell cycle fractionated DNA was sonicated and \
an anti-BrdU monoclonal antibody was used to isolate the newly replicating DNA. Fragment ends \
were sequenced using the Illumina Genome Analyzer II or HiSeq platforms (36 bp reads). \
Some experiments (BJ, K562, BG02ES, GM06990) were originally performed and mapped to an \
earlier version of the human reference genome NCBI36/hg18 (Hansen et al., 2010) and were \
remapped to the more recent reference genome GRCh37/hg19.\
\
\
Uniquely mapping high-quality reads were mapped to the genome minus the Y chromosome. \
Replication signals within each six cell cycle fraction were derived from the density \
of sequence tags mapping within a 50 kb sliding window (stepped 1 kb across the genome); \
these densities were normalized to 4 million tags per genome. To avoid variation due to copy number \
or sequence bias, cell cycle-specific replication signals at each location were \
determined as a percentage of the sum of the six normalized tag density signals (Percentage-normalized Signal). \
\
\
\
To transform the six fraction replication signals into one \
track (Wavelet-smoothed Signal), \
the percentage-normalized signals at each location were used to calculate \
a weighted average value based on the average DNA content of each fraction according to \
flow cytometry [higher values correspond to earlier replication; formula=(0.917*G1b)+(0.750*S1)+(0.583*S2)+(0.417*S3)+(0.250*S4)+(0*G2)]. \
These weighted average data were smoothed by wavelet transformation [J7 level, corresponding to a scale of 128 kb; see Thurman et al. (2007)]. \
\
\
\
Replication initiation zones were flagged by determining local maxima in the wavelet-smoothed data \
(Peaks) and, similarly, replication termination zones were flagged by local minima (Valleys). \
\
\
\
The sum of the 4 million normalized replication tag densities \
correspond to replication of one genome and can, therefore, be used as a \
measure of relative genomic copy number (Summed Densities). This is useful \
for evaluation of unusual replication patterns, such as "biphasic"\
ones where replication has both early and late components [as described by Hansen et al. (2010)].\
\
\
Verification
\
\
Data were verified by determining replication time with a PCR-based examination of replication for particular \
loci in addition to sequencing biological replicates, as described by Hansen et al. (2010).
Data users may freely use ENCODE data, but may not, without prior\
consent, submit publications that use an unpublished ENCODE dataset until\
nine months following the release of the dataset. This date is listed in\
the Restricted Until column, above. The full data release policy\
for ENCODE is available\
here.
The tracks that are listed here contain genetic variants and links to scientific publications that \
mention them. The Mastermind track was created by Genomenom, a company that analyzes fulltext \
of publications with their own proprietary software with an unknown false\
positive rate. The AVADA track was created in the Bejerano lab at\
Stanford by J. Birgmeier also on fulltext papers, using sophisticated machine learning\
methods and was evaluated to have a false positive rate of around 50% in their study.\
\
For additional information please click on the hyperlink of the respective track above.\
Display conventions
\
\
By default, each variant is labeled with the nucleotide change. Hover over the\
feature to see more information, explained on the track details page of the particular track\
or when clicking onto the feature.
\
Credits
\
\
For data provenance, access and descriptions, please click the documentation via the link above.\
\
phenDis 1 group phenDis\
longLabel Genetic Variants mentioned in scientific publications\
shortLabel Variants in Papers\
superTrack on\
track varsInPubs\
type bed 3\
vegaGeneComposite Vega Genes genePred vegaPep Vega Annotations 0 100 0 0 0 127 127 127 0 0 31 chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY,chr6_apd_hap1,chr6_cox_hap2,chr6_dbb_hap3,chr6_mann_hap4,chr6_mcf_hap5,chr6_qbl_hap6,chr6_ssto_hap7, http://vega.sanger.ac.uk/Homo_sapiens/transview?transcript=$$
Description and Methods
\
\
This track shows gene annotations from the Vertebrate Genome Annotation (Vega)\
database. Annotations are divided into two subtracks from the \
Vega Human Genome Annotation project: \
\
Vega Protein-Coding and Non-Coding Gene Annotations\
Vega Annotated Pseudogenes and Immunoglobulin Segments\
\
"The Vega database\
is designed to be a central repository for high-quality, frequently updated\
manual annotation of different vertebrate finished genome sequence.\
Vega attempts to present consistent high-quality curation of the published\
chromosome sequences. Finished genomic sequence is analysed on a\
clone-by-clone basis using\
a combination of similarity searches against DNA and protein databases\
as well as a series of ab initio gene predictions (GENSCAN, Fgenes).\
The annotation is based on supporting evidence only."
\
\
"In addition, comparative analysis using vertebrate datasets such as\
the Riken mouse cDNAs and Genoscope Tetraodon nigroviridis Ecores\
(Evolutionary Conserved Regions) are used for novel gene discovery."
\
\
\
Display Conventions and Configuration
\
\
This track follows the display conventions for\
gene prediction\
tracks. Transcript\
type (and other details) may be found by clicking on the transcript\
identifier which forms the outside link to the Vega transcript details page.\
Further information on the gene and transcript classification may be found\
here.\
\
\
Credits
\
\
Thanks to Steve Trevanion at the\
\
Wellcome Trust Sanger Institute \
for providing the GTF and FASTA files for the Vega annotations. Vega \
acknowledgements and publications are listed \
here.\
genes 1 chromosomes chr1,chr2,chr3,chr4,chr5,chr6,chr7,chr8,chr9,chr10,chr11,chr12,chr13,chr14,chr15,chr16,chr17,chr18,chr19,chr20,chr21,chr22,chrX,chrY,chr6_apd_hap1,chr6_cox_hap2,chr6_dbb_hap3,chr6_mann_hap4,chr6_mcf_hap5,chr6_qbl_hap6,chr6_ssto_hap7\
compositeTrack on\
group genes\
longLabel Vega Annotations\
shortLabel Vega Genes\
track vegaGeneComposite\
type genePred vegaPep\
url http://vega.sanger.ac.uk/Homo_sapiens/transview?transcript=$$\
urlLabel Vega Transcript:\
visibility hide\
uMassBrainHistoneViewPeaks View Peaks bed 3 Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng) 3 100 0 0 0 127 127 127 1 0 0 regulation 1 longLabel Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng)\
parent uMassBrainHistone\
shortLabel View Peaks\
track uMassBrainHistoneViewPeaks\
useScore 1\
view Peaks\
visibility pack\
uMassBrainHistoneViewSignal View Signal bed 3 Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng) 2 100 0 0 0 127 127 127 0 0 0 regulation 1 autoScale off\
configurable on\
longLabel Brain Histone H3K4me3 ChIP-Seq from Univ. Mass. Medical School (Akbarian/Weng)\
maxHeightPixels 100:50:16\
parent uMassBrainHistone\
shortLabel View Signal\
track uMassBrainHistoneViewSignal\
view Signal\
viewLimits 0:50\
visibility full\
windowingFunction maximum\
vistaEnhancersBb VISTA Enhancers bigBed 9 + VISTA Enhancers 0 100 0 0 0 127 127 127 0 0 0 https://enhancer.lbl.gov/cgi-bin/imagedb3.pl?form=presentation&show=1&organism_id=1&experiment_id=$
Description
\
\
This track shows potential enhancers whose activity was experimentally validated in transgenic\
mice. Most of these noncoding elements were selected for testing based on their extreme conservation\
in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. More information\
can be found on the VISTA Enhancer Browser\
page.\
\
\
Display Conventions and Configuration
\
Items appearing in red (positive) indicate that a reproducible\
pattern was observed in the in vivo enhancer assay. Items appearing in\
blue (negative) indicate that NO reproducible pattern was observed\
in the in vivo enhancer assay. Note that this annotation refers only to the single developmental\
timepoint that was tested in this screen (e11.5) and does not exclude the possibility that this\
region is a reproducible enhancer active at earlier or later timepoints in development.\
Most enhancer candidate sequences are identified by extreme evolutionary sequence conservation or\
by ChIP-seq. Detailed information related to enhancer identification by extreme evolutionary\
conservation can be found in the following publications:\
UCSC converted the\
Experimental Data for hg19 and mm9 into bigBed format using the bedToBigBed\
utility. The data for hg38 was lifted over from hg19. The data for mm10 and mm39 were lifted over\
from mm9.
\
\
Data Access
\
\
VISTA Enhancers data can be explored interactively with the\
Table Browser and cross-referenced with the\
Data Integrator. For programmatic access, the track can be\
accessed using the Genome Browser's REST API. ReMap\
annotations can be downloaded from the Genome Browser's\
download server\
as a bigBed file. This compressed binary format can be remotely queried through\
command line utilities. Please note that some of the download files can be quite large.
\
\
Credits
\
Thanks to the Lawrence Berkeley National Laboratory for providing this data
\
regulation 1 bigDataUrl /gbdb/hg19/vistaEnhancers/vistaEnhancers.bb\
group regulation\
itemRgb on\
longLabel VISTA Enhancers\
shortLabel VISTA Enhancers\
track vistaEnhancersBb\
type bigBed 9 +\
url https://enhancer.lbl.gov/cgi-bin/imagedb3.pl?form=presentation&show=1&organism_id=1&experiment_id=$\
urlLabel View on the VISTA Enhancer Browser\
wgEncodeUwRepliSeqViewWaveSignal Wavelet-smoothed Signal bed 3 Replication Timing by Repli-seq from ENCODE/University of Washington 2 100 0 0 0 127 127 127 0 0 0 regulation 1 longLabel Replication Timing by Repli-seq from ENCODE/University of Washington\
maxHeightPixels 128:64:11\
parent wgEncodeUwRepliSeq\
shortLabel Wavelet-smoothed Signal\
track wgEncodeUwRepliSeqViewWaveSignal\
view v4WaveSignal\
viewLimits -10:100\
visibility full\
windowingFunction mean+whiskers\
pubsBingBlat Web Sequences bed 12 + DNA Sequences in Web Pages Indexed by Bing.com / Microsoft Research 0 100 0 0 0 127 127 127 0 0 0
Description
\
This track is powered by Bing! and Microsoft Research. UCSC collaborators at\
Microsoft Research (Bob Davidson, David Heckerman) implemented a DNA sequence\
detector and processed thirty days of web crawler updates, which covers\
roughly 40 billion webpages. The results were mapped with BLAT to the genome.
\
\
Display Convention and Configuration
\
The track indicates the location of sequences on web pages\
mapped to the genome, labelled with the web page URL. If the web page includes\
invisible meta data, then the first author and a year of publication \
is shown instead of the URL. All\
matches of one web page are grouped ("chained") together.\
Web page titles are shown when you move the mouse cursor over the features.\
Thicker parts of the features (exons) represent matching sequences,\
connected by thin lines to matches from the same web page within 30 kbp.
\
\
\
\
Methods
\
\
All file types (PDFs and various Microsoft Office formats) were converted to\
text. The results were processed to find groups of words that look like DNA/RNA\
sequences. These were then mapped with BLAT to the human genome using the same\
software as used in the Publication track.
\
\
Credits
\
DNA sequence detection by Bob Davidson at Microsoft Research. \
HTML parsing and sequence mapping by Maximilian Haeussler at UCSC.
\
phenDis 1 configurable off\
configureByPopup off\
group phenDis\
longLabel DNA Sequences in Web Pages Indexed by Bing.com / Microsoft Research\
nextExonText Next Match\
prevExonText Prev Match\
pubsArticleTable hgFixed.pubsBingArticle\
pubsMarkerTable hgFixed.pubsBingMarkerAnnot\
pubsPslTrack pubsBingBlatPsl\
pubsSequenceTable hgFixed.pubsBingSequenceAnnot\
shortLabel Web Sequences\
track pubsBingBlat\
type bed 12 +\
visibility hide\
gnomADPextWholeBlood Whole Blood bigWig 0 1 gnomAD pext Whole Blood 0 100 255 0 187 255 127 221 0 0 0 varRep 0 bigDataUrl /gbdb/hg19/gnomAD/pext/WholeBlood.bw\
color 255,0,187\
longLabel gnomAD pext Whole Blood\
parent gnomadPext off\
shortLabel Whole Blood\
track gnomADPextWholeBlood\
visibility hide\
windowmaskerSdust WM + SDust bed 3 Genomic Intervals Masked by WindowMasker + SDust 0 100 0 0 0 127 127 127 0 0 0
Description
\
\
\
This track depicts masked sequence as determined by\
WindowMasker. The\
WindowMasker tool is included in the NCBI C++ toolkit. The source code\
for the entire toolkit is available from the NCBI\
\
FTP site.\
\
\
Methods
\
\
\
To create this track, WindowMasker was run with the following parameters:\
\
rep 1 group rep\
longLabel Genomic Intervals Masked by WindowMasker + SDust\
shortLabel WM + SDust\
track windowmaskerSdust\
type bed 3\
visibility hide\
pseudoYale60 Yale Pseudo60 genePred Yale Pseudogenes based on Ensembl Release 60 0 100 0 0 0 127 127 127 1 0 0 http://tables.pseudogene.org/index.cgi?table=Human60&value=$$
Description
\
\
\
This track shows pseudogenes identified by the Yale Pseudogene Pipeline.\
Pseudogenes are defined in this analysis as genomic sequences that are\
similar to known genes with various inactivating disablements (e.g., premature\
stop codons or frameshifts) in their "putative" protein coding regions.\
Pseudogenes are flagged as either recently processed, recently duplicated,\
or of uncertain origin (either ancient fragments or resulting from a\
single-exon parent).\
\
\
The following color key is used: \
\
\
\
Color
Meaning
\
Recently duplicated
\
Ambiguous
\
Recently processed
\
\
\
\
\
Methods
\
\
\
Briefly, the protein sequences of known human genes (as annotated by Ensembl Release\
60) were used to search for similarities, not overlapping with known genes.\
It was determined whether the matching sequences were disabled copies of genes\
based on the occurrences of premature stop codons or frameshifts. The\
intron-exon structure of the functional gene was further used to infer\
whether a pseudogene was recently duplicated or processed. A duplicated\
pseudogene retains the intron-exon structure of its parent functional\
gene, whereas a processed pseudogene shows evidence that this structure\
has been spliced out. Small pseudogene sequences that cannot be confidently\
assigned to either the processed or duplicated category may be ancient\
fragments. Further details are in the references below.\
\
\
Credits
\
\
\
These data were generated by the pseudogene annotation group in the\
Gerstein Lab at Yale University.\