recipe enviroampdesigner

Tool for training model and classifying reads from environmental ONT amplicon sequencing.

Homepage:

https://github.com/AntonS-bio/EnviroAmpDesigner

License:

GPL-3.0-only

Recipe:

/enviroampdesigner/meta.yaml

Tool for training model and classifying reads from environmental ONT amplicon sequencing.

package enviroampdesigner

versions:

0.1.2-0

depends biopython:

>=1.85

depends blast:

>=2.16.0

depends mafft:

>=7.520

depends numpy:

>=1.20.*

depends pandas:

>=2.0.0

depends primer3-py:

>=2.0.*

depends python:

>=3.12

depends tqdm:

>=4.66.*

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 enviroampdesigner

and update with::

   mamba update enviroampdesigner

To create a new environment, run:

mamba create --name myenvname enviroampdesigner

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/enviroampdesigner:<tag>

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

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Link to this page

Render an badge with the following MarkDown:

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