recipe bioconductor-omicrexposome

Exposome and omic data associatin and integration analysis

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/omicRexposome.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-omicrexposome/meta.yaml

omicRexposome systematizes the association evaluation between exposures and omic data, taking advantage of MultiDataSet for coordinated data management, rexposome for exposome data definition and limma for association testing. Also to perform data integration mixing exposome and omic data using multi co-inherent analysis (omicade4) and multi-canonical correlation analysis (PMA).

package bioconductor-omicrexposome

Versions:

1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.1-0,  1.12.0-0,  1.9.0-0,  1.8.0-0,  1.6.0-1,  1.4.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-multidataset >=1.26.0,<1.27.0

• bioconductor-omicade4 >=1.38.0,<1.39.0

• bioconductor-rexposome >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• bioconductor-sva >=3.46.0,<3.47.0

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-ggrepel

• r-gridextra

• r-isva

• r-pma

• r-smartsva

• r-stringr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-omicrexposome

and update with:

conda update bioconductor-omicrexposome

or use the docker container:

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

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

Download stats

Link to this page

Render an 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-omicrexposome/README.html)