recipe bioconductor-metaboliteidmapping

Mapping of Metabolite IDs from Different Sources






The package provides a comprehensive mapping table of nine different Metabolite ID formats and their common name. The data has been collected and merged from four publicly available source, including HMDB, Comptox Dashboard, ChEBI, and the graphite Bioconductor R package.

package bioconductor-metaboliteidmapping

(downloads) docker_bioconductor-metaboliteidmapping



depends bioconductor-annotationhub:


depends bioconductor-data-packages:


depends curl:

depends r-base:




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-metaboliteidmapping

and update with::

   mamba update bioconductor-metaboliteidmapping

To create a new environment, run:

mamba create --name myenvname bioconductor-metaboliteidmapping

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

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