avances in Systems and Synthetic Biology

Patrick Amar 1, 2 François Képès 3 Vic Norris 4
2 AMIB - Algorithms and Models for Integrative Biology
CNRS - Centre National de la Recherche Scientifique : UMR8623, X - École polytechnique, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : Systems Biology includes the study of interaction networks and, in particular, their dynamic and spatiotemporal aspects. It typically requires the import of concepts from across the disciplines and crosstalk between theory, benchwork, modelling and simulation. The quintessence of Systems Biology is the discovery of the design principles of Life. The logical next step is to apply these principles to synthesize biological systems. This engineering of biology is the ultimate goal of Synthetic Biology: the rational conception and construction of complex systems based on, or inspired by, biology, and endowed with functions that may be absent in Nature.
Type de document :
Direction d'ouvrage, Proceedings, Dossier
Patrick Amar and François Képès andVic Norris. avances in Systems and Synthetic Biology, France. EDP Sciences, pp.171, 2013, avances in Systems and Synthetic Biology, 978-2-7598-0974-5
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https://hal.inria.fr/hal-00930249
Contributeur : Patrick Amar <>
Soumis le : mardi 14 janvier 2014 - 15:11:57
Dernière modification le : mardi 5 juin 2018 - 10:14:36

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  • HAL Id : hal-00930249, version 1

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Patrick Amar, François Képès, Vic Norris. avances in Systems and Synthetic Biology. Patrick Amar and François Képès andVic Norris. avances in Systems and Synthetic Biology, France. EDP Sciences, pp.171, 2013, avances in Systems and Synthetic Biology, 978-2-7598-0974-5. 〈hal-00930249〉

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