Introduction to Synthetic Biology: About Modeling, Computation, and Circuit Design - Brossura

Marchisio, Mario Andrea

Brossura

ISBN 10: 9811087512 ISBN 13: 9789811087516

Casa editrice: Springer, 2018

Riassunto

The textbook is based on the lectures of the course “Synthetic Biology” for Master’s students in biology and biotechnology at the Harbin Institute of Technology. The goal of the textbook is to explain how to make mathematical models of synthetic gene circuits that will, later on, drive the circuit implementation in the lab. Concepts such as kinetics, circuit dynamics and equilibria, stochastic and deterministic simulations, parameter analysis and optimization are presented. At the end of the textbook, a chapter contains a description of structural motifs (e.g. positive and negative feedback loops, Boolean gates) that carry out specific functions and can be combined into larger networks. Moreover, several chapters show how to build up (an analyse, where possible) models for synthetic gene circuits with four different open-source software i.e. COPASI, XPPAUT, BioNetGeN, and Parts & Pools-ProMoT.

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Informazioni sull'autore

Mario Andrea Marchisio has obtained his PhD in Physics at the University of Trento, Italy in 2002. After working for four years at the CILEA computing center in Milan, Italy, he spent six years as a Post Doc at the ETH Zurich, Switzerland. Since September 2013, he is working as an Associate Professor in Synthetic Biology at the Harbin Institute of Technology, China.

Dalla quarta di copertina

The textbook is based on the lectures of the course Synthetic Biology for Master s students in biology and biotechnology at the Harbin Institute of Technology. The goal of the textbook is to explain how to make mathematical models of synthetic gene circuits that will, later on, drive the circuit implementation in the lab. Concepts such as kinetics, circuit dynamics and equilibria, stochastic and deterministic simulations, parameter analysis and optimization are presented. At the end of the textbook, a chapter contains a description of structural motifs (e.g. positive and negative feedback loops, Boolean gates) that carry out specific functions and can be combined into larger networks. Moreover, several chapters show how to build up (an analyse, where possible) models for synthetic gene circuits with four different open-source software i.e. COPASI, XPPAUT, BioNetGeN, and Parts & Pools-ProMoT.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 9811087512
• ISBN 13: 9789811087516
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 204
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