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 [Tesi di dottorato] (Unpublished)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|
|Uncontrolled Keywords:||Synthetic Biology, dynamical systems, mathematical modelling, bifurcation theory.|
|Date Deposited:||21 Dec 2010 14:20|
|Last Modified:||30 Apr 2014 19:44|
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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