Modelling, observability and experiment: a case study - Positive feedback loop in a genetic regulatory network -

Abstract : We propose an new methodology for modelling of biological regulatory networks inspired by the design and validation of large computing systems. We take into account the capability to validate a model by a set of biological experiments. So defining a model goes with experimental methods and conditions to validate or invalidate it. As in the design of large sized softwares, we will distinguish two activities: first to build an accurate model specifying the assumed behaviour, second to design plans of experiments to verify a posteriori the model predictions. We wish to experiment, through the case of the modelling of the mucus production by the bacterium Pseudomonas aeruginosa, the application of this working methodology.
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Chapitre d'ouvrage
Amar, Képès, Norris and Tracqui Eds. Selected papers from the Dieppe spring school on Modelling and simulation of biological processes in the context of genomics, 12-16 may 2003, Platypus Press, pp.49-55, 2003, 2-84704-036-6
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http://hal.univ-brest.fr/hal-01002535
Contributeur : Abdallah Zemirline <>
Soumis le : vendredi 6 juin 2014 - 12:33:31
Dernière modification le : vendredi 6 juin 2014 - 12:33:31

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  • HAL Id : hal-01002535, version 1

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G. Bernot, J. Guespin, J.-P. Comet, P. Amar, A. Zemirline, et al.. Modelling, observability and experiment: a case study - Positive feedback loop in a genetic regulatory network -. Amar, Képès, Norris and Tracqui Eds. Selected papers from the Dieppe spring school on Modelling and simulation of biological processes in the context of genomics, 12-16 may 2003, Platypus Press, pp.49-55, 2003, 2-84704-036-6. 〈hal-01002535〉

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