To install this package, start R and enter:

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

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

BayesPeak

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see BayesPeak.

Bayesian Analysis of ChIP-seq Data

Bioconductor version: 3.4

This package is an implementation of the BayesPeak algorithm for peak-calling in ChIP-seq data.

Author: Christiana Spyrou, Jonathan Cairns, Rory Stark, Andy Lynch, Simon Tavar\\'{e},

Maintainer: Jonathan Cairns <jonathan.cairns at babraham.ac.uk>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("BayesPeak")

 

PDF R Script BayesPeak Vignette
PDF   Reference Manual

Details

biocViews ChIPSeq, Software
Version 1.26.0
In Bioconductor since BioC 2.6 (R-2.11) (7 years)
License GPL (>= 2)
Depends R (>= 2.14), IRanges
Imports IRanges, graphics
LinkingTo
Suggests BiocStyle, parallel
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source BayesPeak_1.26.0.tar.gz
Windows Binary BayesPeak_1.26.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) BayesPeak_1.26.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/BayesPeak/tree/release-3.4
Package Short Url http://bioconductor.org/packages/BayesPeak/
Package Downloads Report Download Stats

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