Simple implementation of Most Permissive Boolean networks
Project description
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:
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