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 2.13 of Bioconductor; for the stable, up-to-date release version, see BayesPeak.

Bayesian Analysis of ChIP-seq Data

Bioconductor version: 2.13

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 <jmc200 at cam.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 regionOFdiag.pdf
PDF   Reference Manual

Details

biocViews ChIPseq, Software
Version 1.14.0
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License GPL (>= 2)
Depends R (>= 2.14), IRanges
Imports IRanges, graphics
LinkingTo
Suggests
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_1.14.0.tar.gz
Windows Binary BayesPeak_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) BayesPeak_1.14.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/BayesPeak/tree/release-2.13
Package Short Url http://bioconductor.org/packages/BayesPeak/
Package Downloads Report Download Stats

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