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This package is for version 3.4 of Bioconductor;
for the stable, up-to-date release version, see
chipseq.
chipseq: A package for analyzing chipseq data
Bioconductor version: 3.4
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")
):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("chipseq")
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("chipseq")
A Sample ChIP-Seq analysis workflow | ||
Reference Manual |
Details
biocViews | ChIPSeq, Coverage, DataImport, QualityControl, Sequencing, Software |
Version | 1.24.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (7.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10), methods, BiocGenerics(>= 0.1.0), S4Vectors(>= 0.9.25), IRanges(>= 1.99.1), GenomicRanges(>= 1.17.7), ShortRead |
Imports | methods, stats, lattice, BiocGenerics, IRanges, GenomicRanges, ShortRead |
LinkingTo | |
Suggests | BSgenome, GenomicFeatures, TxDb.Mmusculus.UCSC.mm9.knownGene |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | PING |
Imports Me | ChIPQC, CopywriteR, HTSeqGenie, soGGi, transcriptR |
Suggests Me | GenoGAM, ggbio, oneChannelGUI |
Build Report |
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link