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

G. Bernot J. Guespin J.-P. Comet P. Amar 1 A. Zemirline F. Delaplace P. Ballet A. Richard
1 Northeast States for Coordinated Air Use Management (NESCAUM)
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.
Type de document :
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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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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