recipe phykit

PhyKIT is a UNIX shell toolkit for processing and analyzing phylogenomic data.

Homepage:

https://github.com/jlsteenwyk/phykit

Documentation:

https://jlsteenwyk.com/PhyKIT

License:

MIT / MIT

Recipe:

/phykit/meta.yaml

Links:

doi: 10.1093/bioinformatics/btab096, biotools: phykit

package phykit

(downloads) docker_phykit

versions:
2.0.1-0,  2.0.0-0,  1.20.0-0,  1.19.9-0,  1.19.8-0,  1.19.6-0,  1.19.5-0,  1.19.4-0,  1.19.3-0, 

2.0.1-0,  2.0.0-0,  1.20.0-0,  1.19.9-0,  1.19.8-0,  1.19.6-0,  1.19.5-0,  1.19.4-0,  1.19.3-0,  1.19.2-0,  1.19.1-0,  1.19.0-0,  1.17.0-0,  1.16.0-0,  1.14.0-0,  1.13.1-0,  1.13.0-0,  1.12.5-0,  1.12.4-0,  1.12.3-0,  1.12.2-0,  1.12.0-0,  1.11.16-0,  1.11.15-0,  1.11.14-0,  1.11.13-0,  1.11.12-0,  1.11.10-0,  1.11.7-0,  1.11.5-0

depends biopython:

>=1.82

depends numpy:

>=1.24.0

depends python:

>=3

depends scikit-learn:

>=1.4.2

depends scipy:

>=1.11.3

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 phykit

and update with::

   mamba update phykit

To create a new environment, run:

mamba create --name myenvname phykit

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/phykit:<tag>

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

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