A compositional approach to performance modelling
A compositional approach to performance modelling
Information Processing Letters
Comparison of Hybrid Systems and Fluid Stochastic PetriNets
Discrete Event Dynamic Systems
LICS '96 Proceedings of the 11th Annual IEEE Symposium on Logic in Computer Science
Theoretical Computer Science - Special issue: Computational systems biology
BioAmbients: an abstraction for biological compartments
Theoretical Computer Science - Special issue: Computational systems biology
Process algebra for hybrid systems
Theoretical Computer Science - Process algebra
The φ-calculus: a language for distributed control of reconfigurable embedded systems
HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control
Beta binders for biological interactions
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
A compositional approach to the stochastic dynamics of gene networks
Transactions on Computational Systems Biology IV
Transactions on Computational Systems Biology VII
HYPE: A Process Algebra for Compositional Flows and Emergent Behaviour
CONCUR 2009 Proceedings of the 20th International Conference on Concurrency Theory
A semantic equivalence for Bio-PEPA based on discretisation of continuous values
Theoretical Computer Science
Simulation techniques for the calculus of wrapped compartments
Theoretical Computer Science
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HYPE is a process algebra developed to model hybrid systems - systems that show both continuous and discrete behaviour. It is novel because it allows for the modelling of individual flows which means that subcomponents can be modelled in terms of these flows and do not need to be described monolithically. Biological systems display discrete behaviour inherently, but modellers may choose to model systems in a hybrid fashion, often to deal with differences in scale. We demonstrate how HYPE can be used to model the Repressilator.