recipe bioconductor-smite

Significance-based Modules Integrating the Transcriptome and Epigenome



GPL (>=2)




biotools: smite, doi: 10.1186/s12859-017-1477-3

This package builds on the Epimods framework which facilitates finding weighted subnetworks ("modules") on Illumina Infinium 27k arrays using the SpinGlass algorithm, as implemented in the iGraph package. We have created a class of gene centric annotations associated with p-values and effect sizes and scores from any researchers prior statistical results to find functional modules.

package bioconductor-smite

(downloads) docker_bioconductor-smite



depends bioconductor-annotationdbi:


depends bioconductor-biobase:


depends bioconductor-bionet:


depends bioconductor-genelendatabase:


depends bioconductor-genomicranges:


depends bioconductor-goseq:


depends bioconductor-iranges:


depends bioconductor-keggrest:




depends bioconductor-reactome.db:


depends bioconductor-s4vectors:


depends r-base:


depends r-ggplot2:

depends r-hmisc:

depends r-igraph:

depends r-plyr:

depends r-scales:



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-smite

and update with::

   mamba update bioconductor-smite

To create a new environment, run:

mamba create --name myenvname bioconductor-smite

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

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