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

   

Quantitative comparison of multiple ChIP-seq datasets

Bioconductor version: 3.2

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ChIPComp")

 

PDF ChIPComp
PDF   Reference Manual
Text   NEWS

Details

biocViews ChIPSeq, Coverage, DataImport, Genetics, MultipleComparison, Sequencing, Software, Transcription
Version 1.0.0
In Bioconductor since BioC 3.2 (R-3.2) (0.5 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  

Package Archives

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

Package Source ChIPComp_1.0.0.tar.gz
Windows Binary ChIPComp_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) ChIPComp_1.0.0.tgz
Mac OS X 10.9 (Mavericks) ChIPComp_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ChIPComp/tree/release-3.2
Package Short Url http://bioconductor.org/packages/ChIPComp/
Package Downloads Report Download Stats

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