mpbn 1.3

Simple implementation of Most Permissive Boolean networks

The mpbn Python module offers a simple implementation of reachability and attractor analysis in Most Permissive Boolean Networks (doi:10.1101/2020.03.22.998377).

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

Extra requirements

• clingo and its Python module

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