recipe bioconductor-gosim

Computation of functional similarities between GO terms and gene products; GO enrichment analysis



GPL (>= 2)



This package implements several functions useful for computing similarities between GO terms and gene products based on their GO annotation. Moreover it allows for computing a GO enrichment analysis

package bioconductor-gosim

(downloads) docker_bioconductor-gosim



depends bioconductor-annotate:


depends bioconductor-annotationdbi:


depends bioconductor-go.db:


depends bioconductor-graph:




depends bioconductor-rbgl:


depends bioconductor-topgo:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-cluster:

depends r-corpcor:

depends r-flexmix:

depends r-matrix:

depends r-rcpp:



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-gosim

and update with::

   mamba update bioconductor-gosim

To create a new environment, run:

mamba create --name myenvname bioconductor-gosim

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

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