recipe smaca

smaca is a python tool to detect putative SMA carriers and estimate the absolute SMN1 copy-number in a population.

Homepage:

https://github.com/babelomics/SMAca

License:

GPL-3.0

Recipe:

/smaca/meta.yaml

Links:

doi: https://zenodo.org/badge/latestdoi/250259934

package smaca

(downloads) docker_smaca

versions:

1.2.3-5,  1.2.3-4,  1.2.3-3,  1.2.3-2,  1.2.3-1,  1.2.3-0

depends click:

depends joblib:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends numpy:

>=1.22.4,<2.0a0

depends pysam:

>=0.22.1,<0.23.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

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 smaca

and update with::

   mamba update smaca

To create a new environment, run:

mamba create --name myenvname smaca

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/smaca:<tag>

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

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Link to this page

Render an install-with-bioconda 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/smaca/README.html)