000 | 02078nam a2200181Ia 4500 | ||
---|---|---|---|
999 |
_c295715 _d295715 |
||
020 | _a9780124170292 | ||
082 | _a660.6 HAR-M | ||
100 | _a Colin R Harwood | ||
245 | _aMicrobial Synthetic Biology | ||
260 |
_a Amsterdam _bAcademic Press _c2013 |
||
300 | _a xiv, 207 p., 16 pages of plates : ill (some color) ; 25 cm. | ||
490 | _a Methods in microbiology, v. 40. | ||
505 | _a 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, Emma Frow -- Bacillus subtilis: model gram-positive synthetic biology chassis / Colin R. Harwood, Suzanne Pohl, Wendy Smith, Anil Wipat -- Engineering microbial biosensors / Lisa Goers, Nicolas Kylilis, Marios Tomazou, Ke Yan Wen, Paul Freemont, Karen Polizzi -- Noise and stochasticity in gene expression: a pathogenic fate determinant / Mikkel Girke Jørgensen, Renske van Raaphorst, Jan-Willem Veening -- Platforms for genetic design automation / Chris J. Myers. | ||
520 | _aSynthetic 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. | ||
650 | _a Synthetic biology. Microbiology. Bioengineering. | ||
700 | _aA Wipat | ||
942 | _cBK |