DOI: 10.18129/B9.bioc.coMET    

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

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

Bioconductor version: Development (3.7)

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.

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>

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PDF R Script coMET users guide
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Text   NEWS


biocViews ChIPSeq, DNAMethylation, DNASeq, DifferentialMethylation, ExomeSeq, FunctionalGenomics, Genetics, GenomeWideAssociation, MethylSeq, MethylationArray, Microarray, RNASeq, RiboSeq, Sequencing, Software, Visualization
Version 1.11.2
In Bioconductor since BioC 3.1 (R-3.2) (3 years)
License GPL (>= 2)
Depends R (>= 3.1.0), grid, utils, biomaRt, Gviz, psych, ggbio, trackViewer
Imports colortools, hash, grDevices, gridExtra, rtracklayer, IRanges, S4Vectors, GenomicRanges, ggplot2, stats, corrplot
Suggests knitr, RUnit, BiocGenerics, BiocStyle
Depends On Me
Imports Me
Suggests Me
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