Synthetic Gene Networks: Methods and Protocols
β Scribed by Mario Andrea Marchisio (auth.), Wilfried Weber, Martin Fussenegger (eds.)
- Publisher
- Humana Press
- Year
- 2012
- Tongue
- English
- Leaves
- 390
- Series
- Methods in Molecular Biology 813
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The rapid expansion of synthetic biology is due to the design and construction of synthetic gene networks that have opened many new avenues in fundamental and applied research. Synthetic Gene Networks: Methods and Protocols provides the necessary information to design and construct synthetic gene networks in different host backgrounds. Divided into four convenient sections, this volume focuses on design concepts to devise synthetic gene networks and how mathematical models can be applied to the predictable engineering of desired network features. The volume continues by highlighting the construction and validation of biologic tools, describing strategies to optimize and streamline the host cell for optimized network performance, and covering how optimally designed gene networks can be implemented in a large variety of host cells ranging from bacteria over yeast and insect cells to plant and mammalian cell culture. Written in the successful Methods in Molecular Biologyβ’ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.
Authoritative and easily accessible, Synthetic Gene Networks: Methods and Protocols serves as an invaluable resource for established biologists, engineers, and computer scientists or novices just entering into the rapidly growing field of synthetic biology
β¦ Table of Contents
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Front Matter....Pages 3-21
Front Matter....Pages 23-43
Front Matter....Pages 45-55
Front Matter....Pages 57-81
Back Matter....Pages 83-83
....Pages 85-106
β¦ Subjects
Bioinformatics; Systems Biology
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