- recipe percolator
Semi-supervised learning for peptide identification from shotgun proteomics datasets
- package percolator¶
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
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/percolator:<tag> (see `percolator/tags`_ for valid values for ``<tag>``)