recipe olga

OLGA (Optimized Likelihood estimate of immunoGlobulin Amino-acid sequences) is a python 2.7/3.6 software developed to compute the generation probability of amino acid and in-frame nucleotide CDR3 sequences from a generative model of V(D)J recombination.

Homepage:

https://github.com/zsethna/OLGA

License:

GPL3 / GPL-3.0-only

Recipe:

/olga/meta.yaml

package olga

(downloads) docker_olga

versions:

1.2.4-0

depends numpy:

>=1.20

depends python:

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 olga

and update with::

   mamba update olga

To create a new environment, run:

mamba create --name myenvname olga

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/olga:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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