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title: "Model-based Analysis of ChIP-Seq"
date: 2017-10-24 18:12:58
tags: [Bioinformatics, Paper]
categories: Bioinformatics
---

**[Abstract]** We present Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer. MACS empirically models the shift size of ChIP-Seq tags, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome, allowing for more robust predictions. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, and is freely available.

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![Model-based Analysis of ChIP-Seq](MACS_paper.png)

- 文章地址： [https://www.ncbi.nlm.nih.gov/pubmed/18798982](https://www.ncbi.nlm.nih.gov/pubmed/18798982) | [[pdf] ](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592715/pdf/gb-2008-9-9-r137.pdf)

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