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131209s2013 ne a ob 001 0 eng d |
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|a E7B
|b eng
|e rda
|e pn
|c E7B
|d OCLCO
|d N$T
|d UIU
|d OCLCF
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|a 9780124171183
|q (electronic bk.)
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|a 0124171184
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|z 9780124170292
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|a (OCoLC)868979649
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|a TP248.2
|b .M53 2013eb
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|a SCI
|x 013060
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|a 660.6
|2 23
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|a Microbial Synthetic Biology /
|c edited by Colin Harwood, Anil Wipat.
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|a First edition.
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|a Amsterdam [Netherlands] ;
|a Boston :
|b Elsevier/AP,
|c 2013.
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|a 1 online resource (239 pages) :
|b chiefly color illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Methods in microbiology,
|x 0580-9517 ;
|v v. 40
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546 |
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|a Text in English.
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|a Includes bibliographical references and index.
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|a Online resource; title from PDF title page (ebrary, viewed December 9, 2013).
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|a Front Cover; Microbial Synthetic Biology; Copyright; Contents; Contributors; Preface; Chapter 1: Computational Intelligence in the Design of Synthetic Microbial Genetic Systems; 1. Introduction; 2. Computational Infrastructure for Synthetic Biology; 2.1. Biological parts; 2.2. Circuit design and simulation; 2.2.1. Bottom-up versus top-down design; 2.2.2. Computer-aided design; 2.2.3. Standard virtual parts; 2.3. Exploring design space; 3. Computational Intelligence; 3.1. Evolutionary algorithms; 3.1.1. Modularity in evolutionary design; 3.1.2. Simulated annealing
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|a 3.1.3. The practice and promise of EAs for synthetic biology3.2. Other CI techniques; 3.2.1. Neural networks; 3.2.2. Fuzzy systems; 3.2.3. Swarm intelligence; 4. Discussion; References; Chapter 2: Constraints in the Design of the Synthetic Bacterial Chassis; 1. Introduction; 2. Top-Down Versus Bottom-Up Framing; 3. An Unlimited List of Functions (Organised Starting from the Cell's Structure); 3.1. Compartmentalisation and shaping: the cell's casing; 3.1.1. Interface with the environment; 3.1.2. The need for a casing or a skeleton; 3.2. Information transfer; 3.2.1. Synthesis of macromolecules
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|a 3.2.2. Regulation3.2.3. Memory; 3.3. Metabolism; 4. Perspective: The Fourth Dimension (When Time Measures and Shapes); Acknowledgements; References; Chapter 3: Social Dimensions of Microbial Synthetic Biology; 1. Introduction: Making Space for a New Discussion; 2. From Implications to Dimensions; 2.1. Metaphors and analogies; 3. From Speculation to Anticipation; 4. From Public Acceptance to Public Good; 4.1. Synthetic biology for a particular purpose-the arsenic biosensor; 4.2. The public good; 5. From Regulation to Governance; 5.1. Responsible research and innovation; Conclusions; References
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|a Chapter 4: Bacillus subtilis: Model Gram-Positive Synthetic Biology Chassis1. Introduction; 2. The B. subtilis Genome; 2.1. General features; 2.2. Genome annotation; 3. Genome Management and Analysis of Gene Function; 3.1. Gene transfer and recombination; 3.2. Transformation; 3.3. Conjugation; 3.4. Plasmid-based vector systems; 3.5. Special-purpose vectors; 3.6. Expression vectors; 3.7. Genome minimalisation; 4. Analysis of the Transcriptome; 4.1. Transcription and transcription profiling; 4.2. Sigma factors; 4.3. Transcription termination; 4.4. Reporter gene technology
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|a 4.5. Reporter gene libraries/live cell arrays4.6. Analysis of populations and single cells; 5. Analysis of the Proteome; 6. Analysis of the Metabolome; 7. Parts, Devices, Systems and Applications; 7.1. Parts, systems and devices; 7.2. Engineering genomes with B. subtilis; 7.3. Biosensors; 8. Computational Tools and Resources; Summary; References; Chapter 5: Engineering Microbial Biosensors; 1. Introduction; 2. Areas of Application; 2.1. What to target?; 2.2. Finding potential sensors; 3. Types of Biosensors; 3.1. Response characteristics; 4. Reporters; 4.1. Fluorescence; 4.2. Bioluminescence
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|a The 40th volume of Methods in Microbiology focuses on microbial synthetic biology. 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 t.
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650 |
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|a Biotechnology.
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650 |
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|a Genetic engineering.
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650 |
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0 |
|a Biological systems.
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650 |
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2 |
|a Biotechnology
|0 (DNLM)D001709
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650 |
|
6 |
|a Biotechnologie.
|0 (CaQQLa)201-0004007
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650 |
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6 |
|a Syst�emes biologiques.
|0 (CaQQLa)201-0010972
|
650 |
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7 |
|a bioengineering.
|2 aat
|0 (CStmoGRI)aat300250623
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650 |
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7 |
|a SCIENCE
|x Chemistry
|x Industrial & Technical.
|2 bisacsh
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650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Chemical & Biochemical.
|2 bisacsh
|
650 |
|
7 |
|a Biological systems
|2 fast
|0 (OCoLC)fst00832336
|
650 |
|
7 |
|a Biotechnology
|2 fast
|0 (OCoLC)fst00832729
|
650 |
|
7 |
|a Genetic engineering
|2 fast
|0 (OCoLC)fst00940027
|
655 |
|
4 |
|a Internet Resources.
|
700 |
1 |
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|a Harwood, Colin R.,
|e editor.
|
700 |
1 |
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|a Wipat, A.
|q (Anil),
|e editor.
|
830 |
|
0 |
|a Methods in microbiology ;
|v v. 40.
|x 0580-9517
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780124170292
|z Texto completo
|