[ 原始碼： macs ]
套件：macs（3.0.2-1 以及其他的）
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: libc6 (>= 2.38)
- 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
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.12~)
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- dep: python3-cykhash
- cython wrapper for khash-sets/maps, efficient implementation of isin and unique
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- dep: python3-hmmlearn
- unsupervised learning and inference of Hidden Markov Models
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- dep: python3-numpy (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
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- dep: python3-numpy-abi9
- 本虛擬套件由這些套件填實： python3-numpy
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- dep: python3-scipy
- scientific tools for Python 3
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- dep: python3-sklearn
- Python modules for machine learning and data mining - Python 3
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- dep: zlib1g (>= 1:1.1.4)
- 壓縮函式庫 - 跑程式時用(runtime)