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")):

To install this package, start R and enter:

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

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

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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