Schema for Histone Variants ChIP-Seq (S2) - ChIP-Seq of Histone Variants in S2 Cells
  Database: dm6    Primary Table: GSE99004_wt_H2Av_idr    Row Count: 19,958   Data last updated: 2021-09-01
fieldexampleSQL type info
bin 585smallint(5) unsigned range
chrom chr2Lvarchar(255) values
chromStart 21554int(10) unsigned range
chromEnd 22776int(10) unsigned range
name .varchar(255) values
score 580int(10) unsigned range
strand .char(1) values
signalValue 1.58973float range
pValue 4.10163float range
qValue 2.85209float range
peak 1032int(11) range

Sample Rows
 
binchromchromStartchromEndnamescorestrandsignalValuepValueqValuepeak
585chr2L2155422776.580.1.589734.101632.852091032
585chr2L2155422776.580.2.1623210.73839.12956110
585chr2L2155422776.580.2.203812.6110.9145454
585chr2L2155422776.580.1.269441.725570.69871853
585chr2L7340575571.629.2.1801713.085911.36961062
585chr2L7340575571.629.2.5947422.451320.2803819
585chr2L7340575571.629.2.3353915.652513.81941490
585chr2L7340575571.629.1.2991.811250.772122098
585chr2L7340575571.629.1.56744.926833.62204612
585chr2L7340575571.629.1.9191811.04029.4164299

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.