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Paquet : macs (2.2.7.1-5ubuntu1)

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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Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 2 533,2 ko5664 ko [liste des fichiers]
arm64 2 464,1 ko5252 ko [liste des fichiers]
armhf 2 475,2 ko4160 ko [liste des fichiers]
ppc64el 2 543,5 ko6581 ko [liste des fichiers]