Introduction to Synthetic Biology

About Modeling, Computation, and Circuit Design

Nonfiction, Health & Well Being, Medical, Allied Health Services, Medical Technology, Science & Nature, Science, Biological Sciences
Cover of the book Introduction to Synthetic Biology by Mario Andrea Marchisio, Springer Singapore
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Author: Mario Andrea Marchisio ISBN: 9789811087523
Publisher: Springer Singapore Publication: May 14, 2018
Imprint: Springer Language: English
Author: Mario Andrea Marchisio
ISBN: 9789811087523
Publisher: Springer Singapore
Publication: May 14, 2018
Imprint: Springer
Language: English

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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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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