recipe phynteny

Phynteny: Synteny-based prediction of bacteriophage genes

Homepage:

https://github.com/susiegriggo/Phynteny

License:

MIT / MIT

Recipe:

/phynteny/meta.yaml

package phynteny

versions:

0.1.13-0,  0.1.11-0

depends alive-progress:

depends biopython:

>=1.79

depends click:

depends joblib:

depends loguru:

depends numpy:

depends pandas:

depends python:

<3.11

depends python_abi:

depends scikit-learn:

<=1.2.2

depends tensorflow-cpu:

2.9.1

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 phynteny

and update with::

   mamba update phynteny

To create a new environment, run:

mamba create --name myenvname phynteny

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/phynteny:<tag>

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

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Render an badge with the following MarkDown:

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