recipe ginpipepy

Package for temporal binning of dated sequences in BAM format and fast population size estimate computation

Homepage:

https://github.com/KleistLab/ginpipepy

License:

GPL / GPLv3

Recipe:

/ginpipepy/meta.yaml

Links:

biotools: ginpipe, doi: 10.1101/2021.05.14.21257234

package ginpipepy

(downloads) docker_ginpipepy

versions:

1.0.0-0

depends biopython:

depends numpy:

depends pandas:

depends pysam:

depends python:

>3

depends pyvcf:

depends scipy:

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 ginpipepy

and update with::

   mamba update ginpipepy

To create a new environment, run:

mamba create --name myenvname ginpipepy

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/ginpipepy:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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