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

Beneš, Nikola; Brim, Luboš; Huvar, Ondřej; Pastva, Samuel; Šafránek, David; Šmijáková, Eva · Bioinformatics · 2022

basic_science · Level V

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Abstract

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. All relevant results are available in Supplementary Materials. The tool is accessible through https://github.com/sybila/biodivine-aeon-py. Supplementary data are available at Bioinformatics online.

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