ASSA-PBN 3.0: Analysing context-sensitive Probabilistic Boolean Networks. In Computational methods in systems biology. 16th international conference, CMSB 2018, Brno, Czech Republic, September 12-14, 2018, Proceedings. (Book Chapter)

August 24, 2018 By:
  • Mizera A
  • Pang J
  • Qu H
  • Yuan Q.

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.

2018 Aug. Switzerland: Springer, 2018. p.277-284. (Lecture Notes in Computer Science LNCS, vol.11095). ISBN 978-3-319-99428-4; 978-3-319-99429-1.
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