M3D

DOI: 10.18129/B9.bioc.M3D    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see M3D.

Identifies differentially methylated regions across testing groups

Bioconductor version: 3.8

This package identifies statistically significantly differentially methylated regions of CpGs. It uses kernel methods (the Maximum Mean Discrepancy) to measure differences in methylation profiles, and relates these to inter-replicate changes, whilst accounting for variation in coverage profiles.

Author: Tom Mayo

Maintainer: Tom Mayo <t.mayo at ed.ac.uk>

Citation (from within R, enter citation("M3D")):

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("M3D")

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("M3D")

 

PDF R Script An Introduction to the M$^3$D method
PDF   Reference Manual
Text   NEWS

Details

biocViews Coverage, CpGIsland, DNAMethylation, DifferentialMethylation, Software
Version 1.16.0
In Bioconductor since BioC 3.0 (R-3.1) (4.5 years)
License Artistic License 2.0
Depends R (>= 3.3.0)
Imports parallel, Rcpp, BiocGenerics, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment, BiSeq
LinkingTo Rcpp
Suggests BiocStyle, knitr, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package M3D_1.16.0.tar.gz
Windows Binary M3D_1.16.0.zip (64-bit only)
Mac OS X 10.11 (El Capitan) M3D_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/M3D
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/M3D
Package Short Url http://bioconductor.org/packages/M3D/
Package Downloads Report Download Stats

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