ASSAR, Rodrigo; GARCIA, Alice; SHERMAN, David James

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ASSAR, Rodrigo
Models and Algorithms for the Genome [ MAGNOME]

GARCIA, Alice
Models and Algorithms for the Genome [ MAGNOME]

SHERMAN, David James
Models and Algorithms for the Genome [ MAGNOME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

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Communication dans un congrès

Ce document a été publié dans

Journées Ouvertes en Biologie, Informatique et Mathématiques JOBIM 2011, 2011-06-28, Paris. 2011-07-01p. 297--304

Résumé en anglais

Modeling physycal and biological dynamic systems needs to combine different types of models in a non-ambiguous way. We present an approach to integrate continuous, discrete, stochastic, deterministic and non-deterministic elements by using Transition Systems theory, reuse, composition of models, and the framework BioRica. The systems are described by interacting con- tinuous and discrete models, and in addition continuous models are decomposed into two compo- nents: controlled and controller model. We define Stochastic Switched Systems whose continuous dynamics is modeled by differential equations and its discrete dynamics by transition systems, al- lowing stochastic and non-deterministic behaviours. We illustrated the use of our approach with examples of intrinsically and approximated hybrid systems. Our approach allows us to give a first step to integrate and to extend models of complex systems, such as cell differentiation.< Réduire

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Hybrid Systems

Transition Systems

Switched Systems

Cell differentiation

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Modeling Stochastic Switched Systems with BioRica

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Résumé en anglais

Mots clés en anglais

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