ASSA-PBN 3.0: Analysing Context-Sensitive Probabilistic Boolean Networks

Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


We present a major new release of ASSA-PBN, a software tool for modelling, simulation, and analysis of probabilistic Boolean networks (PBNs). The new version enables the support for context-sensitive PBNs (CPBNs), which can well balance the uncertainty and stability of the modelled biological systems. It contributes mainly in three aspects. Firstly, it designs a high-level language for specifying CPBNs. Secondly, it implements various simulation-based methods for simulating CPBNs and analysing their long-run dynamics. Last but not least, it provides an efficient method to identify all the attractors of a CPBN. Thanks to its divide and conquer strategy, the implemented detection algorithm can deal with large and realistic biological networks under both synchronous and asynchronous updating schemes.
Original languageEnglish
Title of host publicationComputational Methods in Systems Biology (CMSB 2018). 16th international conference, CMSB 2018, Brno, Czech Republic, September 12-14, 2018, Proceedings
Number of pages8
ISBN (Electronic)978-3-319-99429-1
ISBN (Print)978-3-319-99428-4
Publication statusPublished - 24 Aug 2018

Publication series

NameLecture Notes in Bioinformatics


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