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epigenomix

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12

Epigenetic and gene transcription data normalization and integration with mixture models


Bioconductor version: Development (3.24)

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")):

Hans-Ulrich Klein, Martin Schaefer. epigenomix: Epigenetic and gene transcription data normalization and integration with mixture models. doi:10.18129/B9.bioc.epigenomix, R package version 1.53.0, https://bioconductor.org/packages/epigenomix.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("epigenomix")

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

Documentation

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

browseVignettes("epigenomix")
epigenomix package vignette PDF R Script
Reference ManualPDF

Details

biocViews ChIPSeq, Classification, DifferentialExpression, GeneExpression, Software
Version1.53.0
In Bioconductor sinceBioC 2.12 (R-3.0) (13.5 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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Package Archives

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

Source Package epigenomix_1.53.0.tar.gz
Windows Binary (x86_64) epigenomix_1.53.0.zip
macOS Binary (big-sur-x86_64) epigenomix_1.53.0.tgz
macOS Binary (sonoma-arm64) epigenomix_1.53.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/epigenomix
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/epigenomix
Package Short Url https://bioconductor.org/packages/epigenomix/
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