recipe adpred

python adpred module for prediction of Transcription activation domains from protein sequences

Homepage:

https://github.com/FredHutch/adpred

License:

MIT Licence

Recipe:

/adpred/meta.yaml

package adpred

versions:

1.3.1-0,  1.2.8-0,  1.2.7-0,  1.2.5-0,  1.2.4-0,  1.1.3-0

depends keras:

>=2

depends numpy:

>=1

depends pandas:

>=1

depends plotly:

>=5

depends python:

>=3.9

depends requests:

>=2

depends scikit-learn:

>=1

depends tensorflow:

>=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 adpred

and update with::

   mamba update adpred

To create a new environment, run:

mamba create --name myenvname adpred

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/adpred:<tag>

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

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Render an badge with the following MarkDown:

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