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AEON.py: Python library for attractor analysis in asynchronous Boolean networks
Nikola Beneš1, Luboš Brim1, Ondřej Huvar1
1Faculty of Informatics, Masaryk University, Brno 602 00, Czech Republic.
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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