recipe chromoplot

Publication-quality genome and chromosome visualization toolkit

Homepage:

https://github.com/aseetharam/chromoplot

Documentation:

https://github.com/aseetharam/chromoplot#readme

License:

MIT / MIT

Recipe:

/chromoplot/meta.yaml

Chromoplot is a Python library for creating publication-quality genome visualizations. It provides a track-based system for plotting genomic features, haplotypes, gene models, alignments, coverage, and synteny. Designed as a companion to haplophaser for polyploid genome analysis.

package chromoplot

versions:

0.1.0-0

depends click:

>=8.0

depends matplotlib-base:

>=3.5

depends numpy:

>=1.21

depends pandas:

>=1.3

depends python:

>=3.10

depends pyyaml:

>=6.0

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 chromoplot

and update with::

   mamba update chromoplot

To create a new environment, run:

mamba create --name myenvname chromoplot

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/chromoplot:<tag>

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

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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/chromoplot/README.html)