A clustering approach for identification of enriched domains from histone modification ChIP-Seq data
Author(s) -
Chongzhi Zang,
Dustin E. Schones,
Chen Zeng,
Kairong Cui,
Keji Zhao,
Weiqun Peng
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp340
Subject(s) - chromatin immunoprecipitation , histone , chromatin , computational biology , epigenetics , nucleosome , biology , epigenomics , identification (biology) , cluster analysis , chip sequencing , genetics , tiling array , gene , computer science , dna microarray , dna methylation , gene expression , promoter , artificial intelligence , botany
Chromatin states are the key to gene regulation and cell identity. Chromatin immunoprecipitation (ChIP) coupled with high-throughput sequencing (ChIP-Seq) is increasingly being used to map epigenetic states across genomes of diverse species. Chromatin modification profiles are frequently noisy and diffuse, spanning regions ranging from several nucleosomes to large domains of multiple genes. Much of the early work on the identification of ChIP-enriched regions for ChIP-Seq data has focused on identifying localized regions, such as transcription factor binding sites. Bioinformatic tools to identify diffuse domains of ChIP-enriched regions have been lacking.
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