recipe nerpa

A tool for discovering biosynthetic gene clusters of nonribosomal peptides

Homepage:

https://cab.spbu.ru/software/nerpa/

Documentation:

https://github.com/ablab/nerpa

Developer docs:

https://github.com/ablab/nerpa

License:

Dual-licensed under GPLv3 or CC BY-NC-SA 4.0

Recipe:

/nerpa/meta.yaml

Links:

biotools: nerpa

Nerpa is a tool for linking biosynthetic gene clusters (BGCs) to known nonribosomal peptides (NRPs). BGCs are predicted in genome sequences (FASTA or GBK) with antiSMASH (Medema et al, 2011). Known NRPs are accepted in the SMILES format and processed with rBAN (Ricart et al, 2019).

package nerpa

versions:

1.0.0-5,  1.0.0-4,  1.0.0-3,  1.0.0-2,  1.0.0-1,  1.0.0-0

depends libcxx:

>=15.0.7

depends networkx:

depends openjdk:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends rdkit:

requirements:

Installation

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 nerpa

and update with::

   mamba update nerpa

To create a new environment, run:

mamba create --name myenvname nerpa

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 quay.io/biocontainers/nerpa:<tag>

(see `nerpa/tags`_ for valid values for ``<tag>``)

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