Probabilistic inference of ChIP-seq

Bioconductor version: Development (3.0)

Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Author: Xuekui Zhang <xzhang at>, Raphael Gottardo <rgottard at>

Maintainer: Renan Sauteraud <rsautera at>

To install this package, start R and enter:


Citation (from within R, enter citation("PICS")):


PDF R Script The PICS users guide
PDF   Reference Manual
Text   NEWS


biocViews ChIPSeq, Clustering, Sequencing, Software, Visualization
Version 2.9.0
In Bioconductor since BioC 2.6 (R-2.11)
License Artistic-2.0
Depends R (>= 2.14.0), BiocGenerics(>= 0.1.3)
Imports methods, stats4, IRanges, GenomicRanges, graphics, grDevices, stats, Rsamtools, GenomicAlignments
Suggests ShortRead, rtracklayer, parallel
System Requirements
Depends On Me
Imports Me PING
Suggests Me

Package Downloads

Package Source PICS_2.9.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PICS_2.9.0.tgz
Mac OS X 10.9 (Mavericks) PICS_2.9.0.tgz
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