To install this package, start R and enter:

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

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

ChIPComp

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

Quantitative comparison of multiple ChIP-seq datasets

Bioconductor version: 3.4

ChIPComp detects differentially bound sharp binding sites across multiple conditions considering matching control.

Author: Hao Wu, Li Chen, Zhaohui S.Qin, Chi Wang

Maintainer: Li Chen <li.chen at emory.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("ChIPComp")

biocViews	ChIPSeq, Coverage, DataImport, Genetics, MultipleComparison, Sequencing, Software, Transcription
Version	1.4.0
In Bioconductor since	BioC 3.2 (R-3.2) (1.5 years)
License	GPL
Depends	R (>= 3.2.0), GenomicRanges, IRanges, rtracklayer, GenomeInfoDb, S4Vectors
Imports	Rsamtools, limma, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Mmusculus.UCSC.mm9, BiocGenerics
LinkingTo
Suggests	BiocStyle, RUnit
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	ChIPComp_1.4.0.tar.gz
Windows Binary	ChIPComp_1.4.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	ChIPComp_1.4.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/ChIPComp/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/ChIPComp/
Package Downloads Report	Download Stats

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