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Epigenetic and gene transcription data normalization and integration with mixture models

Bioconductor version: Release (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>

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


To install this package, start R (version "4.4") and enter:

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


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 1.44.0
In Bioconductor since BioC 2.12 (R-3.0) (11.5 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_1.44.0.tar.gz
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macOS Binary (x86_64) epigenomix_1.44.0.tgz
macOS Binary (arm64) epigenomix_1.44.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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