recipe spreadgltools

Visualising pathogen dispersal in a high-performance browser application

Homepage:

https://github.com/GuyBaele/SpreadGL

License:

MIT / MIT

Recipe:

/spreadgltools/meta.yaml

Links:

doi: 10.1101/2024.06.04.24308447

package spreadgltools

versions:

1.1.0-0

depends bottleneck:

>=1.3.7

depends dendropy:

>=4.5.2

depends gdal:

>=3.3.0

depends geojson:

>=3.0.1

depends geopandas:

>=0.12.2

depends numpy:

>=1.23.2

depends pandas:

>=2.2.0

depends pyproj:

>=3.4.1

depends python:

>=3.11

depends rasterio:

>=1.3.6

depends rioxarray:

>=0.14.0

depends setuptools:

>=67.4.0

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 spreadgltools

and update with::

   mamba update spreadgltools

To create a new environment, run:

mamba create --name myenvname spreadgltools

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/spreadgltools:<tag>

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

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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/spreadgltools/README.html)