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Introduction in synthetic biologyabo...

Marchisio, Mario Andrea.

Introduction in synthetic biologyabout modeling, computation, and circuit design /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction in synthetic biologyby Mario Andrea Marchisio.
Reminder of title:	about modeling, computation, and circuit design /
Author:	Marchisio, Mario Andrea.
Published:	Singapore :Springer Singapore :2018.
Description:	xii, 187 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Synthetic biology.
Online resource:	http://dx.doi.org/10.1007/978-981-10-8752-3
ISBN:	9789811087523$q(electronic bk.)

Introduction in synthetic biologyabout modeling, computation, and circuit design /
Marchisio, Mario Andrea.

Introduction in synthetic biologyabout modeling, computation, and circuit design /[electronic resource] :by Mario Andrea Marchisio. - Singapore :Springer Singapore :2018. - xii, 187 p. :ill., digital ;24 cm. - Learning materials in biosciences,2509-6125. - Learning materials in biosciences..

Chapter 1: Introduction -- Chapter 2: Modeling: choosing a kinetics -- Chapter 3: Modeling at computer: getting started -- Chapter 4: Stochastic modeling -- Chapter 5: Steady states -- Chapter 6: Stability analysis: hysteresis and oscillations -- Chapter7: Toggle switch: dynamics and steady states -- Chapter 8: Rule-based modeling -- Chapter 9: Gene circuit modular computational design -- Chapter 10: Parameter analysis -- Chapter 11: Circuit analysis with COPASI -- Chapter 12: Circuit motifs.

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.

ISBN: 9789811087523$q(electronic bk.)

Standard No.: 10.1007/978-981-10-8752-3doiSubjects--Topical Terms:

514312
Synthetic biology.

LC Class. No.: TA164 / .M373 2018

Dewey Class. No.: 660.6

Introduction in synthetic biologyabout modeling, computation, and circuit design /
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245 1 0 $a Introduction in synthetic biology $h [electronic resource] : $b about modeling, computation, and circuit design / $c by Mario Andrea Marchisio.
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300 $a xii, 187 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Chapter 1: Introduction -- Chapter 2: Modeling: choosing a kinetics -- Chapter 3: Modeling at computer: getting started -- Chapter 4: Stochastic modeling -- Chapter 5: Steady states -- Chapter 6: Stability analysis: hysteresis and oscillations -- Chapter7: Toggle switch: dynamics and steady states -- Chapter 8: Rule-based modeling -- Chapter 9: Gene circuit modular computational design -- Chapter 10: Parameter analysis -- Chapter 11: Circuit analysis with COPASI -- Chapter 12: Circuit motifs.
520 $a 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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