recipe pgscatalog.calc

Libraries and applications for working with calculated polygenic scores

Homepage:

https://github.com/PGScatalog/pygscatalog/

License:

Apache-2.0

Recipe:

/pgscatalog.calc/meta.yaml

package pgscatalog.calc

(downloads) docker_pgscatalog.calc

versions:

0.3.0-00.2.2-00.2.1-0

depends numpy:

>=1.26.4,<2.0.0

depends pandas:

>=2.2.0,<3.0.0

depends pgscatalog.core:

>=0.3.0,<0.4.0

depends pyarrow:

>=15.0.0,<16.0.0

depends python:

>=3.10

depends scikit-learn:

>=1.4.0,<2.0.0

depends scipy:

>=1.12.0,<2.0.0

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 pgscatalog.calc

and update with::

   mamba update pgscatalog.calc

To create a new environment, run:

mamba create --name myenvname pgscatalog.calc

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/pgscatalog.calc:<tag>

(see `pgscatalog.calc/tags`_ for valid values for ``<tag>``)

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