A compositional approach to performance modelling
A compositional approach to performance modelling
SIAM Journal on Scientific Computing
PRISM: Probabilistic Symbolic Model Checker
TOOLS '02 Proceedings of the 12th International Conference on Computer Performance Evaluation, Modelling Techniques and Tools
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
ACM Transactions on Mathematical Software (TOMS) - Special issue on the Advanced CompuTational Software (ACTS) Collection
QEST '07 Proceedings of the Fourth International Conference on Quantitative Evaluation of Systems
Probabilistic model checking of complex biological pathways
Theoretical Computer Science
Bio-PEPA: An Extension of the Process Algebra PEPA for Biochemical Networks
Electronic Notes in Theoretical Computer Science (ENTCS)
Modelling Biological Compartments in Bio-PEPA
Electronic Notes in Theoretical Computer Science (ENTCS)
Integrated Simulation and Model-Checking for the Analysis of Biochemical Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Bio-PEPA: A framework for the modelling and analysis of biological systems
Theoretical Computer Science
CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology
Equivalence and Discretisation in Bio-PEPA
CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology
Process Algebra Modelling Styles for Biomolecular Processes
Transactions on Computational Systems Biology XI
An automated translation from a narrative language for biological modelling into process algebra
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
Sensitivity analysis of stochastic models of bistable biochemical reactions
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
Formal cell biology in biocham
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
Simulation methods in systems 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
CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
Rule-based modelling of cellular signalling
CONCUR'07 Proceedings of the 18th international conference on Concurrency Theory
Proceedings of the 8th International Conference on Computational Methods in Systems Biology
Transactions on computational systems biology XIII
Evolving Bio-PEPA process algebra models using genetic programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
Modelling trafficking of proteins within the mammalian cell using Bio-PEPA
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
Verification and testing of biological models
Proceedings of the Winter Simulation Conference
Conservation of Mass Analysis for Bio-PEPA
Electronic Notes in Theoretical Computer Science (ENTCS)
Hi-index | 0.00 |
This paper surveys the design of software tools for the Bio-PEPA process algebra. Bio-PEPA is a high-level language for modelling biological systems such as metabolic pathways and other biochemical reaction networks. Through providing tools for this modelling language we hope to allow easier use of a range of simulators and model-checkers thereby freeing the modeller from the responsibility of developing a custom simulator for the problem of interest. Further, by providing mappings to a range of different analysis tools the Bio-PEPA language allows modellers to compare analysis results which have been computed using independent numerical analysers, which enhances the reliability and robustness of the results computed.