recipe bioconductor-adam

ADAM: Activity and Diversity Analysis Module



GPL (>= 2)



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

(downloads) docker_bioconductor-adam



depends bioconductor-go.db:


depends bioconductor-go.db:


depends bioconductor-keggrest:


depends bioconductor-keggrest:


depends bioconductor-summarizedexperiment:


depends bioconductor-summarizedexperiment:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-dplyr:


depends r-dt:


depends r-knitr:

depends r-pbapply:


depends r-rcpp:


depends r-stringr:




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<tag>

(see `bioconductor-adam/tags`_ for valid values for ``<tag>``)

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