Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
<p>Abstract</p> <p>Background</p> <p>High throughput signature sequencing holds many promises, one of which is the ready identification of <it>in vivo </it>transcription factor binding sites, histone modifications, changes in chromatin structure and patterns...
Main Authors: | Courdy Samir J, Nix David A, Boucher Kenneth M |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-12-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/9/523 |
Similar Items
-
Shape-based peak identification for ChIP-Seq
by: Evans Steven N, et al.
Published: (2011-01-01) -
BayesPeak: Bayesian analysis of ChIP-seq data
by: Stark Rory, et al.
Published: (2009-09-01) -
Evaluation of algorithm performance in ChIP-seq peak detection.
by: Elizabeth G Wilbanks, et al.
Published: (2010-07-01) -
COPAR: A ChIP-Seq Optimal Peak Analyzer
by: Binhua Tang, et al.
Published: (2017-01-01) -
Differential ATAC-seq and ChIP-seq peak detection using ROTS
by: Elo, L.L, et al.
Published: (2021)