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Probabilistic inference of ChIP-seq

Bioconductor version: Release (3.18)

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

Author: Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <rgottard at fhcrc.org>

Maintainer: Renan Sauteraud <renan.sauteraud at gmail.com>

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


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The PICS users guide HTML R Script
Reference Manual PDF


biocViews ChIPseq, Clustering, Sequencing, Software, Visualization
Version 2.46.0
In Bioconductor since BioC 2.6 (R-2.11) (14 years)
License Artistic-2.0
Depends R (>= 3.0.0)
Imports utils, stats, graphics, grDevices, methods, IRanges, GenomicRanges, Rsamtools, GenomicAlignments
System Requirements
URL https://github.com/SRenan/PICS
Bug Reports https://github.com/SRenan/PICS/issues
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Suggests rtracklayer, parallel, knitr
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Follow Installation instructions to use this package in your R session.

Source Package PICS_2.46.0.tar.gz
Windows Binary PICS_2.46.0.zip
macOS Binary (x86_64) PICS_2.46.0.tgz
macOS Binary (arm64) PICS_2.46.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PICS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PICS
Bioc Package Browser https://code.bioconductor.org/browse/PICS/
Package Short Url https://bioconductor.org/packages/PICS/
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