Model-based Analysis of ChIP-Seq (MACS)

Yong Zhang; Tao Liu; Clifford A. Meyer; Jérôme Eeckhoute; David S. Johnson; B Bernstein; Chad Nusbaum; R Myers · Genome biology · 2008

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Author / responsible party

Yong Zhang; Tao Liu; Clifford A. Meyer; Jérôme Eeckhoute; David S. Johnson; B Bernstein; Chad Nusbaum; R Myers

Publisher

Genome biology

Year

2008

Language

English

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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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APA 7

Zhang, Y, Liu, T, Meyer, C. A, Eeckhoute, J, Johnson, D. S, Bernstein, B, Nusbaum, C, & Myers, R. (2008). Model-based Analysis of ChIP-Seq (MACS). https://doi.org/10.1186/gb-2008-9-9-r137

MLA

Zhang, Yong, et al. "Model-based Analysis of ChIP-Seq (MACS)." 2008. https://doi.org/10.1186/gb-2008-9-9-r137.

Chicago

Zhang, Yong, Tao Liu, Clifford A. Meyer, Jérôme Eeckhoute, David S. Johnson, B Bernstein, Chad Nusbaum, and R Myers. 2008. "Model-based Analysis of ChIP-Seq (MACS).". https://doi.org/10.1186/gb-2008-9-9-r137.

Harvard

Zhang, Y. et al. 2008, Model-based Analysis of ChIP-Seq (MACS), Genome biology, available at: https://doi.org/10.1186/gb-2008-9-9-r137 [Accessed 8 Aug. 2026].

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Title: Model-based Analysis of ChIP-Seq (MACS)

Author / contributors: Yong Zhang; Tao Liu; Clifford A. Meyer; Jérôme Eeckhoute; David S. Johnson; B Bernstein; Chad Nusbaum; R Myers

Publisher: Genome biology

Publication year: 2008

Language: English

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Biology; Computational biology; Human genetics; Genome Biology; Computational genomics; Evolutionary biology; Genomics; Genetics; Genome; Gene