To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("chipseq")

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

chipseq

 

chipseq: A package for analyzing chipseq data

Bioconductor version: Release (3.1)

Tools for helping process short read data for chipseq experiments

Author: Deepayan Sarkar, Robert Gentleman, Michael Lawrence, Zizhen Yao

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("chipseq")

Documentation

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

browseVignettes("chipseq")

 

PDF R Script A Sample ChIP-Seq analysis workflow
PDF   Reference Manual

Details

biocViews ChIPSeq, Coverage, DataImport, QualityControl, Sequencing, Software
Version 1.18.0
In Bioconductor since BioC 2.5 (R-2.10) (6 years)
License Artistic-2.0
Depends R (>= 2.10), methods, BiocGenerics(>= 0.1.0), S4Vectors(>= 0.0.1), IRanges(>= 1.99.1), GenomicRanges(>= 1.17.7), BSgenome, ShortRead
Imports methods, BiocGenerics, IRanges, BSgenome, GenomicRanges, lattice, ShortRead, stats
LinkingTo
Suggests GenomicFeatures, TxDb.Mmusculus.UCSC.mm9.knownGene
SystemRequirements
Enhances
URL
Depends On Me PING
Imports Me ChIPQC, CopywriteR, HTSeqGenie, soGGi
Suggests Me ggbio, oneChannelGUI
Build Report  

Package Archives

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

Package Source chipseq_1.18.0.tar.gz
Windows Binary chipseq_1.18.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) chipseq_1.18.0.tgz
Mac OS X 10.9 (Mavericks) chipseq_1.18.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/chipseq/tree/release-3.1
Package Short Url http://bioconductor.org/packages/chipseq/
Package Downloads Report Download Stats

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