compEpiTools

DOI: 10.18129/B9.bioc.compEpiTools    

Tools for computational epigenomics

Bioconductor version: Release (3.14)

Tools for computational epigenomics developed for the analysis, integration and simultaneous visualization of various (epi)genomics data types across multiple genomic regions in multiple samples.

Author: Mattia Pelizzola [aut], Kamal Kishore [aut, cre]

Maintainer: Kamal Kishore <kamal.fartiyal84 at gmail.com>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("compEpiTools")

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

Documentation

PDF		Reference Manual

Details

biocViews	Coverage, GeneExpression, GenomeAnnotation, Sequencing, Software, Visualization
Version	1.28.0
In Bioconductor since	BioC 3.0 (R-3.1) (7.5 years)
License	GPL
Depends	R (>= 3.1.1), methods, topGO, GenomicRanges
Imports	AnnotationDbi, BiocGenerics, Biostrings, Rsamtools, parallel, grDevices, gplots, IRanges, GenomicFeatures, XVector, methylPipe, GO.db, S4Vectors, GenomeInfoDb
LinkingTo
Suggests	BSgenome.Mmusculus.UCSC.mm9, TxDb.Mmusculus.UCSC.mm9.knownGene, org.Mm.eg.db, knitr, rtracklayer
SystemRequirements
Enhances
URL
Depends On Me
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/compEpiTools
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/compEpiTools
Package Short Url	https://bioconductor.org/packages/compEpiTools/
Package Downloads Report	Download Stats