recipe percolator

Semi-supervised learning for peptide identification from shotgun proteomics datasets



Apache 2.0




biotools: Percolator, doi: 10.1007/s13361-016-1460-7

package percolator

(downloads) docker_percolator



depends bzip2:


depends libgcc-ng:


depends libstdcxx-ng:


depends sqlite:


depends xerces-c:


depends xsd:



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 percolator

and update with::

   mamba update percolator

To create a new environment, run:

mamba create --name myenvname percolator

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 `percolator/tags`_ for valid values for ``<tag>``)

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