recipe pbiotools

Miscellaneous bioinformatics and other supporting utilities for Python 3

Homepage:

https://github.com/dieterich-lab/pbiotools

License:

MIT / MIT

Recipe:

/pbiotools/meta.yaml

package pbiotools

versions:

4.0.2-0,  4.0.1-1,  4.0.1-0,  4.0.0-0,  3.0.0-0,  2.0.0-0

depends biopython:

depends dask-core:

depends fastparquet:

depends joblib:

depends matplotlib-base:

depends matplotlib-venn:

depends more-itertools:

depends mygene:

depends numpy:

depends openpyxl:

depends pandas:

depends pyensembl:

depends pysam:

>0.9.1

depends python:

>=3.7,<3.11

depends scikit-learn:

depends scipy:

depends seaborn:

depends tqdm:

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 pbiotools

and update with::

   mamba update pbiotools

To create a new environment, run:

mamba create --name myenvname pbiotools

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/pbiotools:<tag>

(see `pbiotools/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/pbiotools/README.html)