recipe monsda

MONSDA, Modular Organizer of Nextflow and Snakemake driven HTS Data Analysis

Homepage:

https://github.com/jfallmann/MONSDA

Documentation:

https://monsda.readthedocs.io/en/latest/

License:

GPL3 / GPL-3.0-or-later

Recipe:

/monsda/meta.yaml

package monsda

(downloads) docker_monsda

versions:
1.2.8-0,  1.2.7-0,  1.2.6-0,  1.2.4-0,  1.2.2-1,  1.2.2-0,  1.2.1-0,  1.2.0-0,  1.1.1-0, 

1.2.8-0,  1.2.7-0,  1.2.6-0,  1.2.4-0,  1.2.2-1,  1.2.2-0,  1.2.1-0,  1.2.0-0,  1.1.1-0,  1.1.0-1,  1.1.0-0,  1.0.0-0

depends biopython:

>=1.83

depends black:

>=21.5b2

depends flake8:

>=3.8.3

depends natsort:

>=8.4.0

depends nextflow:

>=23.10.1

depends numpy:

>=1.26.4

depends pandas:

>=2.2.1

depends perl:

>=5.32.0

depends python:

>=3.12

depends pyyaml:

>=6.0.1

depends scipy:

>=1.12.0

depends snakemake:

>=8.11.3

depends snakemake-executor-plugin-cluster-generic:

1.0.9.*

depends snakemake-executor-plugin-slurm:

0.5.0.*

depends snakemake-interface-common:

1.17.2.*

depends snakemake-interface-executor-plugins:

9.1.1.*

depends snakemake-interface-report-plugins:

1.0.0.*

depends snakemake-interface-storage-plugins:

3.2.2.*

depends snakemake-storage-plugin-s3:

0.2.11.*

depends versioneer:

>=0.20

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 monsda

and update with::

   mamba update monsda

To create a new environment, run:

mamba create --name myenvname monsda

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/monsda:<tag>

(see `monsda/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/monsda/README.html)