Using MACS to identify peaks from ChIP‐Seq data
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 …
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 …
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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