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Introduction in synthetic biology = ...
~
Marchisio, Mario Andrea.
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Introduction in synthetic biology = about modeling, computation, and circuit design /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction in synthetic biology/ by 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.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Synthetic biology. -
Online resource:
http://dx.doi.org/10.1007/978-981-10-8752-3
ISBN:
9789811087523
Introduction in synthetic biology = about modeling, computation, and circuit design /
Marchisio, Mario Andrea.
Introduction in synthetic biology
about 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
Standard No.: 10.1007/978-981-10-8752-3doiSubjects--Topical Terms:
2046200
Synthetic biology.
LC Class. No.: TA164 / .M373 2018
Dewey Class. No.: 660.6
Introduction in synthetic biology = about modeling, computation, and circuit design /
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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.
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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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Biomedical and Life Sciences (Springer-11642)
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EB TA164 .M373 2018
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