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

• Autoři: BENEŠ Nikola; BRIM Luboš; HUVAR Ondřej; PASTVA Samuel; ŠAFRÁNEK David; ŠMIJÁKOVÁ Eva
• Rok publikování: 2022
• Druh: Článek v odborném periodiku
• Časopis / Zdroj: BIOINFORMATICS
• Fakulta / Pracoviště MU: Fakulta informatiky
• www: https://doi.org/10.1093/bioinformatics/btac624
• Doi: http://dx.doi.org/10.1093/bioinformatics/btac624
• Klíčová slova: Boolean Networks; Attractors; Software
• Popis: 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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