recipe bioconductor-fgnet

Functional Gene Networks derived from biological enrichment analyses



GPL (>= 2)



Build and visualize functional gene and term networks from clustering of enrichment analyses in multiple annotation spaces. The package includes a graphical user interface (GUI) and functions to perform the functional enrichment analysis through DAVID, GeneTerm Linker, gage (GSEA) and topGO.

package bioconductor-fgnet

(downloads) docker_bioconductor-fgnet



depends r-base:


depends r-hwriter:

depends r-igraph:


depends r-plotrix:

depends r-png:

depends r-r.utils:

depends r-rcolorbrewer:

depends r-reshape2:

depends r-xml:



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-fgnet

and update with::

   mamba update bioconductor-fgnet

To create a new environment, run:

mamba create --name myenvname bioconductor-fgnet

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-fgnet/tags`_ for valid values for ``<tag>``)

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