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: 2.14
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 | 1.14.0 |
| 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, TxDb.Mmusculus.UCSC.mm9.knownGene |
| System Requirements | |
| URL | |
| Depends On Me | PING |
| Imports Me | ChIPQC, HTSeqGenie |
| Suggests Me | ggbio, oneChannelGUI |
Follow Installation instructions to use this package in your R session.
| Package Source | chipseq_1.14.0.tar.gz |
| Windows Binary | chipseq_1.14.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | chipseq_1.14.0.tgz |
| Mac OS X 10.9 (Mavericks) | chipseq_1.14.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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