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.
Bioconductor version: 2.13
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:
source("http://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")
R Script | A Sample ChIP-Seq analysis workflow | |
Reference Manual |
biocViews | ChIPseq, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 2.5 (R-2.10) |
License | Artistic-2.0 |
Depends | R (>= 2.10), methods, BiocGenerics(>= 0.1.0), IRanges(>= 1.13.4), GenomicRanges(>= 1.7.7), BSgenome, ShortRead |
Imports | methods, BiocGenerics, IRanges, BSgenome, GenomicRanges, lattice, ShortRead, stats |
Suggests | GenomicFeatures, BSgenome.Mmusculus.UCSC.mm9, TxDb.Mmusculus.UCSC.mm9.knownGene |
System Requirements | |
URL | |
Depends On Me | PING |
Imports Me | HTSeqGenie |
Suggests Me | ggbio, oneChannelGUI |
Follow Installation instructions to use this package in your R session.
Package Source | chipseq_1.12.0.tar.gz |
Windows Binary | chipseq_1.12.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | chipseq_1.12.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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