To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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: 3.2

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")):

To install this package, start R and enter:

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

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

browseVignettes("chipseq")

PDF		A Sample ChIP-Seq analysis workflow
PDF		Reference Manual

biocViews	ChIPSeq, Coverage, DataImport, QualityControl, Sequencing, Software
Version	1.20.0
In Bioconductor since	BioC 2.5 (R-2.10) (6.5 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), ShortRead
Imports	methods, stats, lattice, BiocGenerics, IRanges, GenomicRanges, ShortRead
LinkingTo
Suggests	BSgenome, 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

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

Package Source	chipseq_1.20.0.tar.gz
Windows Binary	chipseq_1.20.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	chipseq_1.20.0.tgz
Mac OS X 10.9 (Mavericks)	chipseq_1.20.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/chipseq/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/chipseq/
Package Downloads Report	Download Stats

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