Using MACS to identify peaks from ChIP-Seq data.
Using MACS to identify peaks from ChIP-Seq data.
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DOI：
10.1002/0471250953.bi0214s34
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发表时间：
2011-06
影响因子：
--
通讯作者：
Zhang, Yong
中科院分区：
文献类型：
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作者：
Feng, Jianxing;Liu, Tao;Zhang, Yong
MACS（Model-based Analysis of ChIP-Seq）是由X. Shirley Liu及其同事分析了真核生物，特别是哺乳动物中ChIP-Seq实验产生的数据。鉴于有或没有对照样品的ChIP-Seq数据，MACS可用于鉴定转录因子结合位点和组蛋白修饰富集区域。该单元描述了两个基本协议，提供了如何使用MACS来识别转录因子的结合位点或具有宽峰的组蛋白修饰的富集区域的详细信息。在此基础上，讨论了MACS算法的基本思想及其合理使用。
MACS (Model-based Analysis of ChIP-Seq) is a command line tool designed by X. Shirley Liu and colleagues to analyze data generated by ChIP-Seq experiments in eukaryote, especially in mammal. Given the ChIP-Seq data with or without control samples, MACS can be used to identify transcription factor binding sites and histone modification enriched regions. This unit describes two basic protocols that provide detailed information of 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 of MACS algorithm and its appropriate usage are discussed.