recipe smudgeplot

Inference of ploidy and heterozygosity structure using whole genome sequencing data

Homepage:

https://github.com/KamilSJaron/smudgeplot

License:

Apache-2.0

Recipe:

/smudgeplot/meta.yaml

package smudgeplot

versions:

0.2.5-3,  0.2.5-2,  0.2.5-1,  0.2.5-0,  0.2.4-4,  0.2.4-3,  0.2.4-2,  0.2.4-1,  0.2.4-0, 

0.2.5-3,  0.2.5-2,  0.2.5-1,  0.2.5-0,  0.2.4-4,  0.2.4-3,  0.2.4-2,  0.2.4-1,  0.2.4-0,  0.2.3-0,  0.2.2-0,  0.2.1-0

depends libgcc-ng:

>=12

depends numpy:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends r-argparse:

depends r-base:

>=4.2,<4.3.0a0

depends r-viridis:

depends scipy:

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 smudgeplot

and update with::

   mamba update smudgeplot

To create a new environment, run:

mamba create --name myenvname smudgeplot

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/smudgeplot:<tag>

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

Download stats

Link to this page

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/smudgeplot/README.html)