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Synthetic biology is a rapidly growing discipline that builds on well-established principles of genetic engineering and biotechnology by integrating computational and engineering approaches to the design and construction of novel biological systems.

 

This volume addresses some of the major technical challenges stand in the way of achieving a radical step-change in our ability to engineer complex multi-scaled biological systems. These include: the application of computation intelligence to the design of synthetic microbial systems, design automation and constraints; the impact of noise and stochasticity; the engineering of biosensors; the characteristic of a model bacterial chassis. A key issue in Synthetic Biology is that of its social dimensions and a chapter is dedicated to the important issue.

Contents:

Computational Intelligence in the Design of Synthetic Microbial Genetic Systems

Jennifer S. Hallinan

Constraints in the Design of the Synthetic Bacterial Chassis

Antoine Danchin and Agnieszka Sekowska

Social Dimensions of Microbial Synthetic Biology

Jane Calvert and Emma Frow

Bacillus Subtilis: Model Gram-positive Synthetic Biology Chassis

Colin R. Harwood, Suzanne Pohl, Wendy Smith and Anil Wipat

Engineering Microbial Biosensors

Lisa Goers, Nicolas Kylilis, Marios Tomazou, Ke Yan Wen, Paul Freemont and Karen Polizzi

Noise and Stochasticity in Gene Expression - A Pathogenic Fate determinant

Mikkel Girke Jørgensen, Renske van Raaphorst and Jan-Willem Veening

Platforms for Genetic Design Automation

Chris J. Myers