Package: coMET
Type: Package
Title: coMET: visualisation of regional epigenome-wide association scan
        (EWAS) results and DNA co-methylation patterns
Version: 1.16.0
Date: 2018-12-24
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@mssm.edu>
Description: 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.
Depends: R (>= 3.6.0), grid, utils, biomaRt, Gviz, psych
Suggests: BiocStyle, knitr, RUnit, BiocGenerics
Imports: colortools, hash,grDevices, gridExtra, rtracklayer, IRanges,
        S4Vectors, GenomicRanges, stats, corrplot
License: GPL (>= 2)
URL: http://epigen.kcl.ac.uk/comet
biocViews: Software, DifferentialMethylation, Visualization,
        Sequencing, Genetics, FunctionalGenomics, Microarray,
        MethylationArray, MethylSeq, ChIPSeq, DNASeq, RiboSeq, RNASeq,
        ExomeSeq, DNAMethylation, GenomeWideAssociation,
        MotifAnnotation
VignetteBuilder: knitr
NeedsCompilation: no
Repository: Bioconductor
git_url: https://git.bioconductor.org/packages/coMET
git_branch: RELEASE_3_9
git_last_commit: 3b430a9
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
Packaged: 2019-05-03 03:27:55 UTC; biocbuild
Built: R 3.6.0; ; 2019-05-03 13:06:23 UTC; windows
