Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Microbial Synthetic Biology

By: Contributor(s): Material type: TextTextSeries: Methods in microbiology, v. 40Publication details: Amsterdam Academic Press 2013Description: xiv, 207 p., 16 pages of plates : ill (some color) ; 25 cmISBN:
  • 9780124170292
Subject(s): DDC classification:
  • 660.6 HAR-M
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, 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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 660.6 HAR-M (Browse shelf(Opens below)) Available DCB2555

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.

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.

There are no comments on this title.

to post a comment.