recipe pyensembl

Python interface to ensembl reference genome metadata

Homepage:

https://github.com/openvax/pyensembl

License:

Apache / Apache-2.0

Recipe:

/pyensembl/meta.yaml

package pyensembl

versions:

2.3.13-0,  2.3.12-0,  2.3.11-0,  2.3.9-0,  2.3.6-0,  2.3.4-0,  2.3.0-0,  2.2.9-0,  2.1.0-0, 

2.3.13-0,  2.3.12-0,  2.3.11-0,  2.3.9-0,  2.3.6-0,  2.3.4-0,  2.3.0-0,  2.2.9-0,  2.1.0-0,  2.0.1-0,  2.0.0-0,  1.9.4-0,  1.9.2-0,  1.9.1-0,  1.9.0-0,  1.8.8-0,  1.8.7-1,  1.8.7-0,  1.8.5-0,  1.8.4-1,  1.8.4-0,  1.8.3-0,  1.8.2-0,  1.8.0-0,  1.7.5-0,  1.7.4-0,  1.7.3-1,  1.7.3-0,  1.7.2-0,  1.2.6-2,  1.2.6-1,  1.2.6-0

depends datacache:

>=1.1.4

depends gtfparse:

>=1.3.0

depends memoized-property:

>=1.0.2

depends numpy:

>=1.7

depends pandas:

>=0.15

depends pylint:

>=1.4.4

depends python:

depends python-dateutil:

>=2.5.0

depends serializable:

depends six:

>=1.9.0

depends tinytimer:

depends typechecks:

>=0.0.2

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 pyensembl

and update with::

   mamba update pyensembl

To create a new environment, run:

mamba create --name myenvname pyensembl

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/pyensembl:<tag>

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

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