recipe bioconductor-fella

Interpretation and enrichment for metabolomics data






Enrichment of metabolomics data using KEGG entries. Given a set of affected compounds, FELLA suggests affected reactions, enzymes, modules and pathways using label propagation in a knowledge model network. The resulting subnetwork can be visualised and exported.

package bioconductor-fella

(downloads) docker_bioconductor-fella



depends bioconductor-keggrest:


depends r-base:


depends r-igraph:

depends r-matrix:

depends r-plyr:



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-fella

and update with::

   mamba update bioconductor-fella

To create a new environment, run:

mamba create --name myenvname bioconductor-fella

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

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