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Using MACS to identify peaks from ChiP-seq data

  • Tongji University

Research output: Contribution to journalArticlepeer-review

175 Scopus citations

Abstract

Model-based Analysis of ChIP-Seq (MACS) is a command-line tool designed by X. Shirley Liu and colleagues to analyze data generated by ChIP-Seq experiments in eukaryotes, especially mammals. MACS can be used to identify transcription factor binding sites and histone modification-enriched regions if the ChIP-Seq data, with or without control samples, are given. This unit describes two basic protocols that provide detailed information on how to use MACS to identify either the binding sites of a transcription factor or the enriched regions of a histone modification with broad peaks. Furthermore, the basic ideas for the MACS algorithm and its appropriate usage are discussed.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalCurrent Protocols in Bioinformatics
Issue numberSUPPL. 34
DOIs
StatePublished - Jun 2011

Keywords

  • Chip-Seq
  • Cistrome
  • Epigenome
  • MACS
  • Peak-Calling

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