软件包:macs(2.2.7.1-3 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.
其他与 macs 有关的软件包
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- dep: libc6 (>= 2.29)
- GNU C 语言运行库:共享库
同时作为一个虚包由这些包填实: libc6-udeb
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- dep: python3
- 交互式高级面向对象语言(默认 python3 版本)
- dep: python3 (<< 3.10)
- dep: python3 (>= 3.9~)
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- dep: python3-numpy
- Fast array facility to the Python 3 language