recipe pypeflow

Light weight and reusable make / flow data process library written in Python

Homepage:

https://github.com/PacificBiosciences/pypeFLOW

License:

BSD / BSD-3-Clause-Clear

Recipe:

/pypeflow/meta.yaml

package pypeflow

versions:

2.2.0-0,  2.1.1-0,  2.0.4-0,  2.0.2-1,  2.0.2-0,  2.0.1-0,  2.0.0-0,  1.1.0-0,  1.0.0-0, 

2.2.0-0,  2.1.1-0,  2.0.4-0,  2.0.2-1,  2.0.2-0,  2.0.1-0,  2.0.0-0,  1.1.0-0,  1.0.0-0,  0.1.1-0,  0.1.0-1,  0.1.0-0

depends future:

>=0.16.0

depends networkx:

>=1.7,<=1.11

depends python:

<3

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 pypeflow

and update with::

   mamba update pypeflow

To create a new environment, run:

mamba create --name myenvname pypeflow

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/pypeflow:<tag>

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

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