recipe bioconductor-camera

Collection of annotation related methods for mass spectrometry data



GPL (>= 2)




biotools: camera

Annotation of peaklists generated by xcms, rule based annotation of isotopes and adducts, isotope validation, EIC correlation based tagging of unknown adducts and fragments

package bioconductor-camera

(downloads) docker_bioconductor-camera



depends bioconductor-biobase:


depends bioconductor-biobase:


depends bioconductor-graph:


depends bioconductor-graph:


depends bioconductor-rbgl:


depends bioconductor-rbgl:


depends bioconductor-xcms:


depends bioconductor-xcms:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-hmisc:

depends r-igraph:



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-camera

and update with::

   mamba update bioconductor-camera

To create a new environment, run:

mamba create --name myenvname bioconductor-camera

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

Download stats