Faculty of Informatics, Masaryk University, Brno 602 00, Czech Republic.
Bioinformatics. 2022 Oct 31;38(21):4978-4980. doi: 10.1093/bioinformatics/btac624.
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.
AEON.py 是一个用于分析大型异步布尔网络长期行为的 Python 库。它在吸引子检测方面的最新方法上提供了显著的计算改进。此外，它还允许分析具有不确定更新函数的部分指定布尔网络。它还包括用于识别可行源目标控制策略的技术，并评估它们对参数扰动的鲁棒性。
所有相关结果都可在补充材料中找到。该工具可通过 https://github.com/sybila/biodivine-aeon-py 访问。
补充数据可在生物信息学在线获得。
