- recipe bioconductor-omicrexposome
Exposome and omic data associatin and integration analysis
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/omicRexposome.html
- License:
MIT + file LICENSE
- Recipe:
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:
1.24.2-0
,1.22.0-0
,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
,1.24.2-0
,1.22.0-0
,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:
>=2.62.0,<2.63.0
- depends bioconductor-limma:
>=3.58.0,<3.59.0
- depends bioconductor-multidataset:
>=1.30.0,<1.31.0
- depends bioconductor-omicade4:
>=1.42.0,<1.43.0
- depends bioconductor-rexposome:
>=1.24.0,<1.25.0
- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0
- depends bioconductor-sva:
>=3.50.0,<3.51.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-ggplot2:
- depends r-ggrepel:
- depends r-gridextra:
- depends r-isva:
- depends r-pma:
- depends r-smartsva:
- depends r-stringr:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-omicrexposome and update with:: mamba update bioconductor-omicrexposome
To create a new environment, run:
mamba create --name myenvname bioconductor-omicrexposome
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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)