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

Abstract Summary 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 specifi...

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Published inBioinformatics (Oxford, England) Vol. 38; no. 21; pp. 4978 - 4980
Main Authors Beneš, Nikola, Brim, Luboš, Huvar, Ondřej, Pastva, Samuel, Šafránek, David, Šmijáková, Eva
Format Journal Article
LanguageEnglish
Published 31.10.2022
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Summary:Abstract Summary 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. Availability and implementation All relevant results are available in Supplementary Materials. The tool is accessible through https://github.com/sybila/biodivine-aeon-py. Supplementary information Supplementary data are available at Bioinformatics online.
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ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btac624