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 [Tesi di dottorato] (Unpublished)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
Resource language: English
Title: Mathematical modelling and non-linear analysis of Synthetic Gene Regulatory Networks
Creators:
Creators
Email
Marucci, Lucia
lucia.marucci@crg.es
Date: 29 November 2010
Number of Pages: 182
Institution: Università degli Studi di Napoli Federico II
Department: Informatica e sistemistica
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 23
Coordinatore del Corso di dottorato:
nome
email
Garofalo, Francesco
franco.garofalo@unina.it
Tutor:
nome
email
Di Bernardo, Diego
dibernardo@tigem.it
Di Bernardo, Mario
mario.dibernardo@unina.it
Santini, Stefania
stsantin@unina.it
Date: 29 November 2010
Number of Pages: 182
Keywords: Synthetic Biology, dynamical systems, mathematical modelling, bifurcation theory.
Settori scientifico-disciplinari del MIUR: 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
DOI: 10.6092/UNINA/FEDOA/8146

Collection description

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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