A Simple and Fast Algorithm to Obtain All Invariants of a Generalized Petri Net
Selected Papers from the First and the Second European Workshop on Application and Theory of Petri Nets
A Compositional Approach to Performance Modelling (Distinguished Dissertations in Computer Science)
A Compositional Approach to Performance Modelling (Distinguished Dissertations in Computer Science)
Modelling co-transcriptional cleavage in the synthesis of yeast pre-rRNA
Theoretical Computer Science
Automated Trace Analysis of Discrete-Event System Models
IEEE Transactions on Software Engineering
PRISM: probabilistic model checking for performance and reliability analysis
ACM SIGMETRICS Performance Evaluation Review
Bio-PEPA: A framework for the modelling and analysis of biological systems
Theoretical Computer Science
On the analysis of numerical data time series in temporal logic
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
Petri nets for systems and synthetic biology
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Design and development of software tools for Bio-PEPA
Winter Simulation Conference
Transactions on Computational Systems Biology VII
Biomodel engineering – from structure to behavior
Transactions on Computational Systems Biology XII
Modelling and analysis of the NF-κB pathway in bio-PEPA
Transactions on Computational Systems Biology XII
Equivalences for a biological process algebra
Theoretical Computer Science
Conservation of Mass Analysis for Bio-PEPA
Electronic Notes in Theoretical Computer Science (ENTCS)
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Simulation modeling in systems biology embarks on discrete event simulation only for cases of small cardinalities of entities and uses continuous simulation otherwise. Modern modeling environments like Bio-PEPA support both types of simulation within a single modeling formalism. Developing models for complex dynamic phenomena is not trivial in practice and requires careful verification and testing. In this paper, we describe relevant steps in the verification and testing of a TNFα-mediated NF-κB signal transduction pathway model and discuss to what extent automated techniques help a practitioner to derive a suitable model.