To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("epigenomix")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.4)
A package for the integrative analysis of RNA-seq or microarray based gene transcription and histone modification data obtained by ChIP-seq. The package provides methods for data preprocessing and matching as well as methods for fitting bayesian mixture models in order to detect genes with differences in both data types.
Author: Hans-Ulrich Klein, Martin Schaefer
Maintainer: Hans-Ulrich Klein <h.klein at uni-muenster.de>
Citation (from within R,
enter citation("epigenomix")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("epigenomix")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epigenomix")
R Script | epigenomix package vignette | |
Reference Manual |
biocViews | ChIPSeq, Classification, DifferentialExpression, GeneExpression, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (4 years) |
License | LGPL-3 |
Depends | R (>= 3.2.0), methods, Biobase, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment |
Imports | BiocGenerics, MCMCpack, Rsamtools, parallel, GenomeInfoDb, beadarray |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | epigenomix_1.14.0.tar.gz |
Windows Binary | epigenomix_1.14.0.zip |
Mac OS X 10.9 (Mavericks) | epigenomix_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/epigenomix/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/epigenomix/ |
Package Downloads Report | Download Stats |
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