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- 2012022385 contributor B12453060.
- 2012022385 created "2012.".
- 2012022385 date "2012".
- 2012022385 date "2012.".
- 2012022385 dateCopyrighted "2012.".
- 2012022385 description "Description based on print version record and CIP data provided by publisher; resource not viewed.".
- 2012022385 description "Includes bibliographical references and index.".
- 2012022385 description "Machine generated contents note: Foreword John Pierce PREFACE Ranjan Patnaik CHAPTER 1 Classical Strain Engineering Nathan Crook and Hal Alper CHAPTER 2 Tracer-based Analysis of Metabolic Flux Networks Michael Dauner CHAPTER 3 Integration of 'Omics' Data with Genome-scale Metabolic Models Stephen Van Dien, Priti Pharkya, and Robin Osterhout CHAPTER 4 Strain Improvement via Evolutionary Engineering Byoungjin Kim, Jing Du, and Huimin Zhao CHAPTER 5 Rapid Fermentation Process Development and Optimization Jun Sun and Lawrence Chew CHAPTER 6 The Clavulanic Acid Strain Improvement Program at DSM Anti-Infectives Bert Koekman and Marcus Hans CHAPTER 7 Metabolic Engineering of recombinant E. coli for the Production of 3-Hydroxypropionate Tanya Warnecke Lipscomb, Matthew L. Lipscomb, and Michael D. Lynch CHAPTER 8 Complex System Engineering: A Case Study for an Unsequenced Microalga Michael Guarnieri,Yat-Chen Chou, Bryon S. Donohoe, Eric Knoshaug, Lieve Laurens and Phillip T. Pienkos CHAPTER 9 Meiotic Recombination-based genome shuffling of Saccharomyces cerevisiae and Schefferomyces stiptis for increased inhibitor tolerance to lignocellulosic substrate toxicity Dominic Pinel and Vincent J. J. Martin .".
- 2012022385 extent "1 online resource.".
- 2012022385 hasFormat "Engineering complex phenotypes in industrial strains".
- 2012022385 identifier "9781118433003 ( pdf)".
- 2012022385 identifier "9781118433027 (mobi)".
- 2012022385 identifier "9781118433041 (epub)".
- 2012022385 identifier 9780470610756.jpg.
- 2012022385 isFormatOf "Engineering complex phenotypes in industrial strains".
- 2012022385 issued "2012".
- 2012022385 issued "2012.".
- 2012022385 language "eng".
- 2012022385 publisher "Hoboken, N.J. : Wiley,".
- 2012022385 relation "Engineering complex phenotypes in industrial strains".
- 2012022385 subject "579/.163 23".
- 2012022385 subject "Genetic engineering.".
- 2012022385 subject "Industrial microorganisms.".
- 2012022385 subject "QR53".
- 2012022385 subject "TECHNOLOGY & ENGINEERING / Chemical & Biochemical. bisacsh".
- 2012022385 tableOfContents "Machine generated contents note: Foreword John Pierce PREFACE Ranjan Patnaik CHAPTER 1 Classical Strain Engineering Nathan Crook and Hal Alper CHAPTER 2 Tracer-based Analysis of Metabolic Flux Networks Michael Dauner CHAPTER 3 Integration of 'Omics' Data with Genome-scale Metabolic Models Stephen Van Dien, Priti Pharkya, and Robin Osterhout CHAPTER 4 Strain Improvement via Evolutionary Engineering Byoungjin Kim, Jing Du, and Huimin Zhao CHAPTER 5 Rapid Fermentation Process Development and Optimization Jun Sun and Lawrence Chew CHAPTER 6 The Clavulanic Acid Strain Improvement Program at DSM Anti-Infectives Bert Koekman and Marcus Hans CHAPTER 7 Metabolic Engineering of recombinant E. coli for the Production of 3-Hydroxypropionate Tanya Warnecke Lipscomb, Matthew L. Lipscomb, and Michael D. Lynch CHAPTER 8 Complex System Engineering: A Case Study for an Unsequenced Microalga Michael Guarnieri,Yat-Chen Chou, Bryon S. Donohoe, Eric Knoshaug, Lieve Laurens and Phillip T. Pienkos CHAPTER 9 Meiotic Recombination-based genome shuffling of Saccharomyces cerevisiae and Schefferomyces stiptis for increased inhibitor tolerance to lignocellulosic substrate toxicity Dominic Pinel and Vincent J. J. Martin .".
- 2012022385 title "Engineering complex phenotypes in industrial strains [electronic resource] / edited by Ranjan Patnaik.".
- 2012022385 type "text".
