UNIT 2.14 Using MACS to Identify Peaks from ChIP-Seq Data

  1. Jianxing Feng1,
  2. Tao Liu2,
  3. Yong Zhang1

Published Online: 1 JUN 2011

DOI: 10.1002/0471250953.bi0214s34

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Feng, J., Liu, T. and Zhang, Y. 2011. Using MACS to Identify Peaks from ChIP-Seq Data. Current Protocols in Bioinformatics. 34:2.14:2.14.1–2.14.14.

Author Information

  1. 1

    School of Life Sciences and Technology, Tongji University, Shanghai, China

  2. 2

    Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, Massachusetts

Publication History

  1. Published Online: 1 JUN 2011
  2. Published Print: JUN 2011


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. Curr. Protoc. Bioinform. 34:2.14.1-2.14.14. © 2011 by John Wiley & Sons, Inc.


  • MACS;
  • ChIP-Seq;
  • peak-calling;
  • cistrome;
  • epigenome