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chipseq

chipseq: A package for analyzing chipseq data

Bioconductor version: 3.23 · Package version: 1.62.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Tools for helping process short read data for chipseq experiments.

DOI: 10.18129/B9.bioc.chipseq

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("chipseq")

Details

MaintainerBioconductor Package Maintainer <maintainer@bioconductor.org>
AuthorDeepayan Sarkar [aut], Robert Gentleman [aut], Michael Lawrence [aut], Zizhen Yao [aut], Oluwabukola Bamigbade [ctb] (Converted vignette from Sweave to R Markdown / HTML.), Bioconductor Package Maintainer [cre]
LicenseArtistic-2.0
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsChIPSeq, Coverage, DataImport, QualityControl, Sequencing, Software
Package Short Url https://bioconductor.org/packages/chipseq/

Citation

From within R, enter citation("chipseq"):

Deepayan Sarkar, Robert Gentleman, Michael Lawrence, Zizhen Yao. chipseq: chipseq: A package for analyzing chipseq data. doi:10.18129/B9.bioc.chipseq, R package version 1.62.0, https://bioconductor.org/packages/chipseq.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagechipseq_1.62.0.tar.gz
Windows binary (x86_64)chipseq_1.62.0.zip
macOS binary (arm64)chipseq_1.62.0.tgz
macOS binary (x86_64)chipseq_1.62.0.tgz
Dependencies

Depends: R (>= 3.5.0), methods, BiocGenerics (>= 0.1.0), S4Vectors (>= 0.17.25), IRanges (>= 2.13.12), GenomicRanges (>= 1.31.8), ShortRead

Imports: methods, stats, lattice, BiocGenerics, IRanges, GenomicRanges, ShortRead

Suggests: BSgenome, GenomicFeatures, TxDb.Mmusculus.UCSC.mm9.knownGene, BSgenome.Mmusculus.UCSC.mm9, BiocStyle, knitr

Reverse dependencies

Imports Me (3): ChIPQC, soGGi, transcriptR

Suggests Me (1): profileplyr