recipe bioconductor-proteasy

Protease Mapping






Retrieval of experimentally derived protease- and cleavage data derived from the MEROPS database. Proteasy contains functions for mapping peptide termini to known sites where a protease cleaves. This package also makes it possible to quickly look up known substrates based on a list of (potential) proteases, or vice versa - look up proteases based on a list of substrates.

package bioconductor-proteasy

(downloads) docker_bioconductor-proteasy



depends bioconductor-annotationfilter:


depends bioconductor-ensdb.hsapiens.v86:


depends bioconductor-ensdb.mmusculus.v79:


depends bioconductor-ensdb.rnorvegicus.v79:


depends bioconductor-ensembldb:


depends bioconductor-rcpi:


depends r-base:


depends r-data.table:

depends r-stringr:



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-proteasy

and update with::

   mamba update bioconductor-proteasy

To create a new environment, run:

mamba create --name myenvname bioconductor-proteasy

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

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