
Synthetic Gene Network
Modeling, Analysis and Robust Design Methods
CRC Press
1st Edition
Published on 2. May 2014
Book
Hardback
216 pages
978-1-4665-9269-8 (ISBN)
Description
This book develops a rational design and systematic approach to construct a gene network with desired behaviors. In order to achieve this goal, the registry of standard biological parts and experimental techniques are introduced at first. Then these biological components are characterized by a standard modeling method and collected in the component libraries, which can be efficiently reused in engineering synthetic gene networks. Based on the system theory, some design specifications are provided to engineer the synthetic gene networks to robustly track the desired trajectory by employing the component libraries.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
20 s/w Abbildungen, 26 farbige Abbildungen
26 Illustrations, color; 20 Illustrations, black and white
Dimensions
Height: 229 mm
Width: 155 mm
Thickness: 20 mm
Weight
499 gr
ISBN-13
978-1-4665-9269-8 (9781466592698)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2014
1st Edition
CRC Press
€225.99
Available for download
Persons
Bor-Sen Chen, Yu-Chao Wang
Author
National Tsing Hua University, Hsinchu, Taiwan R.O.C
National Tsing Hua University, Hsinchu, Taiwan
Content
General introduction. Survey of synthetic gene networks. Experimental techniques for engineering synthetic gene networks. Mathematical models and design specifications in synthetic gene networks. Robust synthetic biology designs based on system dynamic methods. Construction of promoter library and RBS library for synthesis of gene networks. Robust synthetic gene network designs based on library-search method. Next-generation synthetic gene network.