Introduction to Synthetic Biology: About Modeling, Computation, and Circuit Design (Learning Materials in Biosciences) - Softcover

Book 4 of 39: Learning Materials in Biosciences

Marchisio, Mario Andrea

 
9789811087516: Introduction to Synthetic Biology: About Modeling, Computation, and Circuit Design (Learning Materials in Biosciences)
Softcover
ISBN 10: 9811087512 ISBN 13: 9789811087516
Publisher: Springer, 2018

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2018
Language
English
ISBN 10 
9811087512
ISBN 13 
9789811087516
Binding
Paperback
Edition number
1
Number of pages
199