Publication details

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

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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