AEON.py: Python library for attractor analysis in asynchronous Boolean networks

N. Beneš, L. Brim, O. Huvar, S. Pastva, D. Šafránek, E. Šmijáková
Bioinformatics, Volume 38, Issue 21, 1 November 2022, Pages 4978–4980

AEON.py is a Python library for the analysis of the long-term behaviour in very large asynchronous Boolean networks. It provides significant computational improvements over the state-of-the-art methods for attractor detection. Furthermore, it admits the analysis of partially specified Boolean networks with uncertain update functions. It also includes techniques for identifying viable source-target control strategies and the assessment of their robustness with respect to parameter perturbations.

Cite this article as: Nikola Beneš, Luboš Brim, Ondřej Huvar, Samuel Pastva, David Šafránek, Eva Šmijáková, AEON.py: Python library for attractor analysis in asynchronous Boolean networks, Bioinformatics, Volume 38, Issue 21, 1 November 2022, Pages 4978–4980, https://doi.org/10.1093/bioinformatics/btac624
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