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.

epigenomix

   

Epigenetic and gene transcription data normalization and integration with mixture models

Bioconductor version: 3.2

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("epigenomix")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("epigenomix")

 

PDF epigenomix package vignette
PDF   Reference Manual

Details

biocViews ChIPSeq, Classification, DifferentialExpression, GeneExpression, Software
Version 1.10.0
In Bioconductor since BioC 2.12 (R-3.0) (3 years)
License LGPL-3
Depends R (>= 2.12.0), methods, Biobase, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment(>= 0.2.0)
Imports BiocGenerics, Rsamtools, beadarray
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Package Archives

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

Package Source epigenomix_1.10.0.tar.gz
Windows Binary epigenomix_1.10.0.zip
Mac OS X 10.6 (Snow Leopard) epigenomix_1.10.0.tgz
Mac OS X 10.9 (Mavericks) epigenomix_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/epigenomix/tree/release-3.2
Package Short Url http://bioconductor.org/packages/epigenomix/
Package Downloads Report Download Stats

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