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Using MACS to Identify Peaks from ChIP‐Seq Data

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Feng, Jianxing, Liu, Tao, Zhang, Yong·2011·Current Protocols in Bioinformatics

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

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Metadata

Authors
Feng, J., Liu, T., & Zhang, Y.
Venue
Current Protocols in Bioinformatics
Publisher
Wiley
Published
2011-06
Volume
34
Issue
1
Pages
2.14.1-2.14.14
ISSN
  • 1934-3396 (ISSN-L)
  • 1934-340X
OpenAlex
W1585888846
Cited by
252
References
3
FWCI
5.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Using MACS to Identify Peaks from ChIP‐Seq Data. https://app.cochat.ai/papers/10.1002/0471250953.bi0214s34
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Feng, J., Liu, T., & Zhang, Y. (2011). Using MACS to Identify Peaks from ChIP‐Seq Data. Current Protocols in Bioinformatics. https://doi.org/10.1002/0471250953.bi0214s34

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