Schema for Histone Variants ChIP-Seq (S2) - ChIP-Seq of Histone Variants in S2 Cells
  Database: dm6    Primary Table: GSE99004_dH1_H2Av_idr    Row Count: 23,930   Data last updated: 2021-09-01
fieldexampleSQL type info
bin 585smallint(5) unsigned range
chrom chr2Lvarchar(255) values
chromStart 21562int(10) unsigned range
chromEnd 22162int(10) unsigned range
name .varchar(255) values
score 703int(10) unsigned range
strand .char(1) values
signalValue 2.08615float range
pValue 9.09254float range
qValue 7.38904float range
peak 446int(11) range

Sample Rows
 
binchromchromStartchromEndnamescorestrandsignalValuepValueqValuepeak
585chr2L2156222162.703.2.086159.092547.38904446
585chr2L2156222162.703.1.75494.743253.3416292
585chr2L6655866791.890.2.05279.844748.09463135
585chr2L7343775554.1000.1.995637.736086.118531396
585chr2L7343775554.1000.2.081878.798567.113971028
585chr2L7343775554.1000.2.4304413.851111.8498801
585chr2L7343775554.1000.1.757936.588935.05017145
585chr2L7343775554.1000.1.179441.089490.130751803
585chr2L7343775554.1000.1.534742.999351.759642023
585chr2L7743678326.578.1.741614.900923.48788337

Note: all start coordinates in our database are 0-based, not 1-based. See explanation here.

Histone Variants ChIP-Seq (S2) (variantsChIPSeq) Track Description
 

Description

These tracks show the results of the ChIP-Seq analyses of histone variants from S2 cells. The regions that are enriched in histone variants were identified by MACS2 and Peakzilla. The log likelihood ratio evidence tracks were produced by MACS2. The Irreproducible Discovery Rate (IDR) peak calls were produced by the idr program using a global IDR threshold of 0.05.

The ChIP-Seq datasets were obtained from the Gene Expression Omnibus database at NCBI under the following accession numbers:

AccessionProteinsReference
GSE99004H2Av, H2Av dH1 RNAiBayona-Feliu A et al., Nat Commun. 2017

References

Bayona-Feliu A, Casas-Lamesa A, Reina O, Bernués J, Azorin F. Linker histone H1 prevents R-loop accumulation and genome instability in heterochromatin. Nat Commun. 2017 Aug 18;8(1):283.

Bardet AF, Steinmann J, Bafna S, Knoblich JA, Zeitlinger J, Stark A. Identification of transcription factor binding sites from ChIP-seq data at high resolution. Bioinformatics. 2013 Nov 1;29(21):2705-13.

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.