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

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.

Automated summary

AEON.py is a Python library used for analyzing the long-term behavior of very large asynchronous Boolean networks. It offers significant computational improvements over existing methods for attractor detection and can analyze partially specified networks with uncertain update functions. It also includes techniques for identifying viable source-target control strategies and evaluating their robustness with parameter perturbations.