To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("PICS")

In most cases, you don't need to download the package archive at all.

PICS

Probabilistic inference of ChIP-seq

Bioconductor version: Release (3.1)

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 <rsautera at fhcrc.org>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("PICS")

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

browseVignettes("PICS")

biocViews	ChIPSeq, Clustering, Sequencing, Software, Visualization
Version	2.12.0
In Bioconductor since	BioC 2.6 (R-2.11) (5.5 years)
License	Artistic-2.0
Depends	R (>= 2.14.0), BiocGenerics(>= 0.1.3)
Imports	methods, stats4, IRanges, GenomicRanges, graphics, grDevices, stats, Rsamtools, GenomicAlignments, S4Vectors
LinkingTo
Suggests	ShortRead, rtracklayer, parallel
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	PING
Suggests Me
Build Report

Follow Installation instructions to use this package in your R session.

Package Source	PICS_2.12.0.tar.gz
Windows Binary	PICS_2.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	PICS_2.12.0.tgz
Mac OS X 10.9 (Mavericks)	PICS_2.12.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/PICS/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/PICS/
Package Downloads Report	Download Stats

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