Marucci, Lucia (2010) Mathematical modelling and non-linear analysis of Synthetic Gene Regulatory Networks. [Tesi di dottorato] (Unpublished)

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Item Type: Tesi di dottorato
Language: English
Title: Mathematical modelling and non-linear analysis of Synthetic Gene Regulatory Networks
Creators:
CreatorsEmail
Marucci, Lucialucia.marucci@crg.es
Date: 29 November 2010
Number of Pages: 182
Institution: Università degli Studi di Napoli Federico II
Department: Informatica e sistemistica
Doctoral School: Ingegneria dell'informazione
PHD name: Ingegneria informatica ed automatica
PHD cycle: 23
PHD Coordinator:
nameemail
Garofalo, Francescofranco.garofalo@unina.it
Tutor:
nameemail
Di Bernardo, Diegodibernardo@tigem.it
Di Bernardo, Mariomario.dibernardo@unina.it
Santini, Stefaniastsantin@unina.it
Date: 29 November 2010
Number of Pages: 182
Uncontrolled Keywords: Synthetic Biology, dynamical systems, mathematical modelling, bifurcation theory.
MIUR S.S.D.: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 21 Dec 2010 14:20
Last Modified: 04 Dec 2014 08:19
URI: http://www.fedoa.unina.it/id/eprint/8146

Abstract

The emerging discipline of Synthetic biology can be defined as the engineering of biology. The usefulness of a model in Synthetic biology lies in its ability to formalise the knowledge about the biological process at hand, to identify inconsistencies between hypotheses and observations, and to predict the behaviour of the biological process in yet untested conditions. The aim must be to develop holistic models which capture the essence of various interactions within the system and are able to analyse and give predictions of the system as a whole. From this perspective, the theory of dynamical systems and control can have a fundamental role in the analysis, modelling and design of synthetic biological circuits.

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