recipe bioconductor-adam

ADAM: Activity and Diversity Analysis Module

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/ADAM.html

License:

GPL (>= 2)

Recipe:

/bioconductor-adam/meta.yaml

ADAM is a GSEA R package created to group a set of genes from comparative samples (control versus experiment) belonging to different species according to their respective functions (Gene Ontology and KEGG pathways as default) and show their significance by calculating p-values referring togene diversity and activity. Each group of genes is called GFAG (Group of Functionally Associated Genes).

package bioconductor-adam

versions:

1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.10.0-2,  1.10.0-1,  1.10.0-0,  1.8.0-0, 

1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.10.0-2,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

depends bioconductor-go.db:

>=3.20.0,<3.21.0

depends bioconductor-go.db:

>=3.20.0,<3.21.0a0

depends bioconductor-keggrest:

>=1.46.0,<1.47.0

depends bioconductor-keggrest:

>=1.46.0,<1.47.0a0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

>=0.7.6

depends r-dt:

>=0.4

depends r-knitr:

depends r-pbapply:

>=1.3-4

depends r-rcpp:

>=0.12.18

depends r-stringr:

>=1.3.1

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-adam

and update with::

   mamba update bioconductor-adam

To create a new environment, run:

mamba create --name myenvname bioconductor-adam

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-adam:<tag>

(see `bioconductor-adam/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-adam/README.html)