recipe pyfba

Python-based Flux Balance Analysis using the ModelSEED

Homepage:

https://linsalrob.github.io/PyFBA/

Developer docs:

https://github.com/linsalrob/PyFBA/

License:

MIT / MIT

Recipe:

/pyfba/meta.yaml

Links:

doi: 10.5281/zenodo.4972064

package pyfba

(downloads) docker_pyfba

versions:

2.62-5,  2.62-4,  2.62-3,  2.62-2,  2.62-1,  2.62-0,  2.59-0,  2.58-0,  2.55-0

depends beautifulsoup4:

depends glpk:

>=5.0,<6.0a0

depends importlib_resources:

depends jupyter:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends lxml:

depends pyglpk:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

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 pyfba

and update with::

   mamba update pyfba

To create a new environment, run:

mamba create --name myenvname pyfba

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/pyfba:<tag>

(see `pyfba/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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