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ChIPComp

This is the development version of ChIPComp; for the stable release version, see ChIPComp.

Quantitative comparison of multiple ChIP-seq datasets


Bioconductor version: Development (3.24)

ChIPComp detects differentially bound sharp binding sites across multiple conditions considering matching control.

Author: Hao Wu, Li Chen, Zhaohui S.Qin, Chi Wang

Maintainer: Li Chen <li.chen at emory.edu>

Citation (from within R, enter citation("ChIPComp")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("ChIPComp")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews ChIPSeq, Coverage, DataImport, Genetics, MultipleComparison, Sequencing, Software, Transcription
Version 1.43.0
In Bioconductor since BioC 3.2 (R-3.2) (11 years)
License GPL
Depends R (>= 3.2.0), GenomicRanges, IRanges, rtracklayer, Seqinfo, S4Vectors
Imports Rsamtools, limma, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Mmusculus.UCSC.mm9, BiocGenerics
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/ChIPComp
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ChIPComp
Package Short Url https://bioconductor.org/packages/ChIPComp/
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