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

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 long as the data can be translated to genomic level and for any species.

Package details

AuthorTiphaine C. Martin [aut,cre], Thomas Hardiman [aut], Idil Yet [aut], Pei-Chien Tsai [aut], Jordana T. Bell [aut]
Bioconductor views ChIPSeq DNAMethylation DNASeq DifferentialMethylation ExomeSeq FunctionalGenomics Genetics GenomeWideAssociation MethylSeq MethylationArray Microarray MotifAnnotation RNASeq RiboSeq Sequencing Software Visualization
MaintainerTiphaine Martin <>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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coMET documentation built on Nov. 8, 2020, 5 p.m.