recipe mhcflurry

MHC Binding Predictor

Homepage:

https://github.com/openvax/mhcflurry

License:

APACHE / Apache-2.0

Recipe:

/mhcflurry/meta.yaml

Links:

doi: 10.1016/j.cels.2018.05.014

package mhcflurry

versions:

2.1.4-1,  2.1.4-0,  2.1.2-0,  2.1.1-0,  2.1.0-0,  2.0.6-0,  2.0.1-0,  2.0.0-0,  1.6.1-0, 

2.1.4-1,  2.1.4-0,  2.1.2-0,  2.1.1-0,  2.1.0-0,  2.0.6-0,  2.0.1-0,  2.0.0-0,  1.6.1-0,  1.6.0-0,  1.4.3-0,  1.4.2-1,  1.4.2-0,  1.4.0-1,  1.4.0-0,  1.3.1-0,  1.3.0-0,  1.2.4-0,  1.2.2-0

depends appdirs:

depends mhcgnomes:

>=0.8.4

depends np_utils:

depends pandas:

>=0.20.3

depends python:

depends pyyaml:

depends scikit-learn:

depends six:

depends tensorflow:

>=2.12.0

depends tf-keras:

depends tqdm:

requirements:

additional platforms:

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 mhcflurry

and update with::

   mamba update mhcflurry

To create a new environment, run:

mamba create --name myenvname mhcflurry

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/mhcflurry:<tag>

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

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