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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