recipe epimuller

Visualize lineages overtime, with phylogentic context, based on viral genomes

Homepage:

https://github.com/jennifer-bio/epimuller

License:

MIT License

Recipe:

/epimuller/meta.yaml

# epiMuller

##### About

###### Author Jennifer L Havens

###### Purpose Visualize lineages overtime, with phylogentic context, based on viral genomes

###### Language Python3

###### Inputs Alingment, collection date, PANGO lineage, Nextstain JSON files, and timetree

###### Source code avaliblity [gitHub](https://github.com/jennifer-bio/epimuller)

###### Documentation avaliblity [Read the Docs](https://epimuller.readthedocs.io/en/stable/)

package epimuller

(downloads) docker_epimuller

versions:

0.0.8-00.0.7-00.0.5-0

depends cairosvg:

>=2.4

depends ete3:

>=3.1

depends pycairo:

>=1.20

depends python:

>3.7

depends svgwrite:

>=1.4

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 epimuller

and update with::

   mamba update epimuller

To create a new environment, run:

mamba create --name myenvname epimuller

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/epimuller:<tag>

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

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