To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("epigenomix")

In most cases, you don't need to download the package archive at all.

epigenomix

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

Epigenetic and gene transcription data normalization and integration with mixture models

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

Citation (from within R, enter citation("epigenomix")):

Installation

source("http://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 R Script epigenomix package vignette
PDF   Reference Manual

Details

biocViews ChIPSeq, Classification, DifferentialExpression, GeneExpression, Software
Version 1.5.1
In Bioconductor since BioC 2.12 (R-3.0)
License LGPL-3
Depends R (>= 2.12.0), methods, Biobase, IRanges, GenomicRanges
Imports BiocGenerics, beadarray
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source epigenomix_1.5.1.tar.gz
Windows Binary epigenomix_1.5.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) epigenomix_1.5.1.tgz
Mac OS X 10.9 (Mavericks) epigenomix_1.5.1.tgz
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