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coMET: visualisation of regional epigenome-wide association scan (EWAS) results and DNA co-methylation patterns

Bioconductor version: Release (3.18)

Visualisation of EWAS results in a genomic region. In addition to phenotype-association P-values, coMET also generates plots of co-methylation patterns and provides a series of annotation tracks. It can be used to other omic-wide association scans as lon:g as the data can be translated to genomic level and for any species.

Author: Tiphaine C. Martin [aut,cre], Thomas Hardiman [aut], Idil Yet [aut], Pei-Chien Tsai [aut], Jordana T. Bell [aut]

Maintainer: Tiphaine Martin <tiphaine.martin at mssm.edu>

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


To install this package, start R (version "4.3") 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:

coMET users guide PDF R Script
Reference Manual PDF


biocViews ChIPSeq, DNAMethylation, DNASeq, DifferentialMethylation, ExomeSeq, FunctionalGenomics, Genetics, GenomeWideAssociation, MethylSeq, MethylationArray, Microarray, MotifAnnotation, RNASeq, RiboSeq, Sequencing, Software, Visualization
Version 1.34.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License GPL (>= 2)
Depends R (>= 4.1.0), grid, utils, biomaRt, Gviz, psych
Imports hash, grDevices, gridExtra, rtracklayer, IRanges, S4Vectors, GenomicRanges, stats, corrplot
System Requirements
URL http://epigen.kcl.ac.uk/comet
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Suggests BiocStyle, knitr, RUnit, BiocGenerics, showtext
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Package Archives

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

Source Package coMET_1.34.0.tar.gz
Windows Binary coMET_1.34.0.zip (64-bit only)
macOS Binary (x86_64) coMET_1.34.0.tgz
macOS Binary (arm64) coMET_1.34.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/coMET
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/coMET
Bioc Package Browser https://code.bioconductor.org/browse/coMET/
Package Short Url https://bioconductor.org/packages/coMET/
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