recipe bioconductor-metabosignal

MetaboSignal: a network-based approach to overlay and explore metabolic and signaling KEGG pathways







biotools: metabosignal

MetaboSignal is an R package that allows merging, analyzing and customizing metabolic and signaling KEGG pathways. It is a network-based approach designed to explore the topological relationship between genes (signaling- or enzymatic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape and regulatory networks of metabolic phenotypes.

package bioconductor-metabosignal

(downloads) docker_bioconductor-metabosignal



depends bioconductor-annotationdbi:


depends bioconductor-biomart:


depends bioconductor-ensdb.hsapiens.v75:


depends bioconductor-hpar:


depends bioconductor-kegggraph:


depends bioconductor-keggrest:


depends bioconductor-mwastools:


depends bioconductor-mygene:




depends r-base:


depends r-igraph:

depends r-rcurl:



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-metabosignal

and update with::

   mamba update bioconductor-metabosignal

To create a new environment, run:

mamba create --name myenvname bioconductor-metabosignal

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

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