Bioconductor-mirror/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.

Getting started

Package details

AuthorTiphaine C. Martin, Thomas Hardiman, Idil Yet, Pei-Chien Tsai, Jordana T. Bell
Bioconductor views ChIPSeq DNAMethylation DNASeq DifferentialMethylation ExomeSeq FunctionalGenomics Genetics GenomeWideAssociation MethylSeq MethylationArray Microarray RNASeq RiboSeq Sequencing Software Visualization
MaintainerTiphaine Martin <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/coMET documentation built on June 1, 2017, 6:36 a.m.