recipe bioconductor-comet

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.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/coMET.html

License

GPL (>= 2)

Recipe

/bioconductor-comet/meta.yaml

package bioconductor-comet

(downloads) docker_bioconductor-comet

Versions

1.14.0-0

Depends bioconductor-biomart

>=2.38.0,<2.39.0

Depends bioconductor-genomicranges

>=1.34.0,<1.35.0

Depends bioconductor-gviz

>=1.26.0,<1.27.0

Depends bioconductor-iranges

>=2.16.0,<2.17.0

Depends bioconductor-rtracklayer

>=1.42.0,<1.43.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-colortools

Depends r-corrplot

Depends r-gridextra

Depends r-hash

Depends r-psych

Requirements

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-comet

and update with:

conda update bioconductor-comet

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-comet:<tag>

(see bioconductor-comet/tags for valid values for <tag>)

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-comet/README.html)