[ 原始碼： macs ]
套件：macs（2.1.2.1-1）
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.
其他與 macs 有關的套件
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- dep: cython
- C-Extensions for Python
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- dep: libc6 (>= 2.15) [armhf]
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.22) [amd64]
- dep: libc6 (>= 2.4) [i386]
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- dep: python
- interactive high-level object-oriented language (Python2 version)
- dep: python (<< 2.8)
- dep: python (>= 2.7~)
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- dep: python-numpy
- Numerical Python adds a fast array facility to the Python language