Package: macs (3.0.2-1 and others)

[ Source: macs  ]

Model-based Analysis of ChIP-Seq on short reads sequencers

MACS empirically models the length of the sequenced ChIP fragments, which tends to be shorter than sonication or library construction size estimates, 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 sequence, allowing for more sensitive and robust prediction. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, is publicly available open source, and can be used for ChIP-Seq with or without control samples.

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• dep: libc6 (>= 2.38)

  GNU C Library: Shared libraries
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• dep: python3

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  dep: python3 (<< 3.14)

  dep: python3 (>= 3.12~)

• dep: python3-cykhash

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• dep: python3-hmmlearn

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• dep: python3-numpy (>= 1:1.25.0)

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• dep: python3-numpy-abi9

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• dep: python3-scipy

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• dep: zlib1g (>= 1:1.1.4)

  compression library - runtime

Download macs

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Architecture	Version	Package Size	Installed Size	Files
ppc64el	3.0.2-1+b1	3,715.8 kB	18,115.0 kB	[list of files]