recipe phylornn

PhyloRNN

Homepage:

https://github.com/phyloRNN/phyloRNN

License:

LGPL / LPGL-2.1-only

Recipe:

/phylornn/meta.yaml

package phylornn

versions:

1.1-0,  1.0-0

depends biopython:

>=1.81,<2

depends dendropy:

>=4.5.2,<4.6

depends ete3:

depends keras:

>=2.9.0,<2.10

depends matplotlib-base:

>=3.5.2,<3.6

depends numpy:

>=1.23.1,<1.24

depends pandas:

>=1.4.3,<1.5

depends phyml:

>=3.3.0,<3.4

depends python:

>=3.8

depends scipy:

>=1.8.1,<1.9

depends seaborn-base:

>=0.11.2,<0.12

depends seq-gen:

>=1.3.0,<1.4

depends tensorflow:

>=2.9.1,<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 phylornn

and update with::

   mamba update phylornn

To create a new environment, run:

mamba create --name myenvname phylornn

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/phylornn:<tag>

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

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[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/phylornn/README.html)