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      A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.

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          Abstract

          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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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4811
          1367-4803
          Aug 01 2009
          : 25
          : 15
          Affiliations
          [1 ] Department of Physics, The George Washington University, Washington, DC 20052, USA.
          Article
          btp340
          10.1093/bioinformatics/btp340
          2732366
          19505939
          b4ce7c64-1935-4308-a41b-b9ec5d34c1d7
          History

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