recipe bioconductor-flagme

Analysis of Metabolomics GC/MS Data



LGPL (>= 2)




biotools: flagme, doi: 10.1038/nmeth.3252

Fragment-level analysis of gas chromatography-massspectrometry metabolomics data.

package bioconductor-flagme

(downloads) docker_bioconductor-flagme



depends bioconductor-camera:


depends bioconductor-camera:


depends bioconductor-gcspikelite:


depends bioconductor-gcspikelite:


depends bioconductor-xcms:


depends bioconductor-xcms:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-gplots:

depends r-mass:

depends r-sparsem:



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-flagme

and update with::

   mamba update bioconductor-flagme

To create a new environment, run:

mamba create --name myenvname bioconductor-flagme

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

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