To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PICS")

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

PICS

 

   

This is the development version of PICS; for the stable release version, see PICS.

Probabilistic inference of ChIP-seq

Bioconductor version: Development (3.4)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PICS")

Documentation

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

browseVignettes("PICS")

 

PDF R Script The PICS users guide
PDF   Reference Manual

Details

biocViews ChIPSeq, Clustering, Sequencing, Software, Visualization
Version 2.17.0
In Bioconductor since BioC 2.6 (R-2.11) (6.5 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  

Package Archives

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

Package Source PICS_2.17.0.tar.gz
Windows Binary PICS_2.17.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) PICS_2.17.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PICS
Package Short Url http://bioconductor.org/packages/PICS/
Package Downloads Report Download Stats

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