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

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Authors	BENEŠ Nikola BRIM Luboš HUVAR Ondřej PASTVA Samuel ŠAFRÁNEK David ŠMIJÁKOVÁ Eva
Year of publication	2022
Type	Article in Periodical
Magazine / Source	BIOINFORMATICS
MU Faculty or unit	Faculty of Informatics
Citation
web	https://doi.org/10.1093/bioinformatics/btac624
Doi	http://dx.doi.org/10.1093/bioinformatics/btac624
Keywords	Boolean Networks; Attractors; Software
Description	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.
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