recipe pybda

Big biological data analytics powered by Apache Spark

Homepage:

https://github.com/cbg-ethz/pybda

Documentation:

https://pybda.readthedocs.io/en/latest/

License:

GPL3 / GNU General Public v3 (GPLv3)

Recipe:

/pybda/meta.yaml

package pybda

versions:

0.1.0-0,  0.0.6-0

depends click:

>=6.7

depends joypy:

>=0.1.10

depends matplotlib:

depends numpy:

>=1.15.0

depends pandas:

>=0.23.3

depends pyspark:

2.4.0.*

depends python:

3.6.*

depends scipy:

>=1.0.0

depends seaborn:

depends snakemake:

>=5.2.2

depends sparkhpc:

>=0.3.post4

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 pybda

and update with::

   mamba update pybda

To create a new environment, run:

mamba create --name myenvname pybda

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/pybda:<tag>

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

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