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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