The mpbn Python module offers a simple implementation of reachability and attractor analysis (minimal trap spaces) in Most Permissive Boolean Networks (doi:10.1038/s41467-020-18112-5).

It is built on the minibn module from colomoto-jupyter which allows importation of Boolean networks in many formats. See http://colomoto.org/notebook.

Installation

CoLoMoTo Notebook environment

mpbn is distributed in the CoLoMoTo docker.

Using pip

pip install mpbn

Using conda

conda install -c colomoto -c potassco mpbn

Documentation

Documentation is available at https://mpbn.readthedocs.io.

Example notebooks:

• https://nbviewer.jupyter.org/github/pauleve/mpbn/tree/master/examples/
• http://doi.org/10.5281/zenodo.3719097