Skip to content

bnediction/mpbn

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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:

About

Brief Python implementation of Most Permissive Boolean Networks

Resources

Stars

Watchers

Forks

Packages

No packages published