Download e-book for iPad: Microbial Synthetic Biology by Colin Harwood, Anil Wipat

By Colin Harwood, Anil Wipat

ISBN-10: 0124170293

ISBN-13: 9780124170292

The fortieth quantity of Methods in Microbiology specializes in microbial man made biology.

Synthetic biology is a quickly transforming into self-discipline that builds on well-established ideas of genetic engineering and biotechnology via integrating computational and engineering techniques to the layout and building of novel organic platforms.

This quantity addresses the various significant technical demanding situations stand within the manner of attaining an intensive step-change in our skill to engineer complicated multi-scaled organic platforms. those comprise: the applying of computation intelligence to the layout of artificial microbial platforms, layout automation and constraints; the effect of noise and stochasticity; the engineering of biosensors; the attribute of a version bacterial chassis. A key factor in artificial Biology is that of its social dimensions and a bankruptcy is devoted to the $64000 factor.

  • Authority or services of participants,
  • lLnks to web pages for the layout and modelling of microbes and microbial metabolism, 
  • First quantity to handle the sensible issues
  • Discussion on accountable innovation

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Theory of the backpropagation neural network. In International joint conference on neural networks (IJCNN). San Diego CA. pp. 593–605. , & Panke, S. (2006). Synthetic biology—Putting engineering into biology. Bioinformatics, 22(22), 2790–2799. Hill, A. V. (1910). The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves. ), iv–vii. , & Dong, J. (2008). Geometric interpretation of gene coexpression network analysis. PLoS Computational Biology, 4(8), e1000117.

On evolutionary exploration and exploitation. Fundamenta Informatica, 35, 1–15. , Mungall, C. , et al. (2005). The Sequence Ontology: A tool for the unification of genome annotation. Genome Biology, 6, R44. Elowitz, M. , & Leibler, S. (2000). A synthetic oscillatory network of transcriptional regulators. Nature, 403, 335–338. Endy, D. (2005). Foundations for engineering biology. Nature, 438(7067), 449–453. Engelbrecht, A. P. (2007). Computational intelligence: An introduction. Chichester: John Wiley.

Comment on “Network motifs: Simple building blocks of complex networks” and “Superfamilies of evolved and designed networks”. Science, 305(5687), 1107. , et al. (2009). From a consortium sequence to a unified sequence: The Bacillus subtilis 168 reference genome a decade later. Microbiology, 155(6), 1758–1775. Barrett, C. , Kim, T. , Kim, H. , & Lee, S. Y. (2006). Systems biology as a foundation for genome-scale synthetic biology. Current Opinion in Biotechnology, 17(5), 488–492. , Collins, C. , Arnold, F.

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Microbial Synthetic Biology by Colin Harwood, Anil Wipat


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