title: Computational analysis of ChIP-seq data.
abstract: Chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-seq) is a new technology to map protein-DNA interactions in a genome. The genome-wide transcription factor binding site and chromatin modification data produced by ChIP-seq provide invaluable information for studying gene regulation. This chapter reviews basic characteristics of ChIP-seq data and introduces a computational procedure to identify protein-DNA interactions from ChIP-seq experiments.
authors.affiliation: Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. hji@jhsph.edu
authors.forename: Hongkai
authors.initials: H
authors.lastname: Ji
mesh_terms: D000818:Animals; D001665:Binding Sites; D047369:Chromatin Immunoprecipitation; D019295:Computational Biology / Q000379:methods*; D004247:DNA / Q000235:genetics / Q000378:metabolism; D006801:Humans; D051379:Mice; D011485:Protein Binding; D017422:Sequence Analysis, DNA; D014157:Transcription Factors / Q000378:metabolism
chemical_list: D014157:Transcription Factors; D004247:DNA