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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 (3.19)

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 (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

epigenomix package vignette PDF R Script
Reference Manual PDF


biocViews ChIPSeq, Classification, DifferentialExpression, GeneExpression, Software
Version 1.43.0
In Bioconductor since BioC 2.12 (R-3.0) (11 years)
License LGPL-3
Depends R (>= 3.5.0), methods, Biobase, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment
Imports BiocGenerics, MCMCpack, Rsamtools, parallel, GenomeInfoDb, beadarray
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Follow Installation instructions to use this package in your R session.

Source Package epigenomix_1.43.0.tar.gz
Windows Binary epigenomix_1.43.0.zip (64-bit only)
macOS Binary (x86_64) epigenomix_1.43.0.tgz
macOS Binary (arm64) epigenomix_1.43.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epigenomix
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epigenomix
Bioc Package Browser https://code.bioconductor.org/browse/epigenomix/
Package Short Url https://bioconductor.org/packages/epigenomix/
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