recipe deeparg

A deep learning based approach to predict Antibiotic Resistance Genes (ARGs) from metagenomes

Homepage:

https://github.com/gaarangoa/deeparg

License:

MIT / MIT

Recipe:

/deeparg/meta.yaml

package deeparg

versions:

1.0.4-0,  1.0.3-0,  1.0.2-1,  1.0.2-0

depends biopython:

>=1.68

depends diamond:

depends ete3:

>=3.1.2

depends joblib:

>=0.14.1

depends lasagne:

>=0.1

depends nolearn:

>=0.6.1

depends numpy:

>=1.16

depends python:

<3

depends requests:

>=1.15.1

depends scikit-learn:

>=0.19.2

depends scipy:

>=1.2.1

depends theano:

>=0.8.2

depends tqdm:

>=4.62.3,<4.65

depends wget:

>=1.20.3

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 deeparg

and update with::

   mamba update deeparg

To create a new environment, run:

mamba create --name myenvname deeparg

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/deeparg:<tag>

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

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Render an badge with the following MarkDown:

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