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Systems Metabolic Engineering

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Cover of 'Systems Metabolic Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Genome-Scale Model Management and Comparison
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    Chapter 2 Automated Genome Annotation and Metabolic Model Reconstruction in the SEED and Model SEED
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    Chapter 3 Metabolic Model Refinement Using Phenotypic Microarray Data
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    Chapter 4 Linking genome-scale metabolic modeling and genome annotation.
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    Chapter 5 Resolving Cell Composition Through Simple Measurements, Genome-Scale Modeling, and a Genetic Algorithm
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    Chapter 6 A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
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    Chapter 7 Kinetic Modeling of Metabolic Pathways: Application to Serine Biosynthesis
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    Chapter 8 Computational tools for guided discovery and engineering of metabolic pathways.
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    Chapter 9 Retrosynthetic design of heterologous pathways.
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    Chapter 10 Customized Optimization of Metabolic Pathways by Combinatorial Transcriptional Engineering
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    Chapter 11 Adaptive Laboratory Evolution for Strain Engineering
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    Chapter 12 Systems Metabolic Engineering
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    Chapter 13 Identification of Mutations in Evolved Bacterial Genomes
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    Chapter 14 Discovery of Posttranscriptional Regulatory RNAs Using Next Generation Sequencing Technologies
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    Chapter 15 13 C-Based Metabolic Flux Analysis: Fundamentals and Practice
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    Chapter 16 Nuclear Magnetic Resonance Methods for Metabolic Fluxomics
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    Chapter 17 Using Multiple Tracers for 13 C Metabolic Flux Analysis
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    Chapter 18 Isotopically Nonstationary 13 C Metabolic Flux Analysis
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    Chapter 19 Sample Preparation and Biostatistics for Integrated Genomics Approaches
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    Chapter 20 Targeted Metabolic Engineering Guided by Computational Analysis of Single-Nucleotide Polymorphisms (SNPs)
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    Chapter 21 Linking RNA Measurements and Proteomics with Genome-Scale Models
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    Chapter 22 Comparative Transcriptome Analysis for Metabolic Engineering
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    Chapter 23 Merging multiple omics datasets in silico: statistical analyses and data interpretation.
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Title
Systems Metabolic Engineering
Published by
Humana Press, February 2013
DOI 10.1007/978-1-62703-299-5
ISBNs
978-1-62703-298-8, 978-1-62703-299-5
Editors

Alper, Hal S.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Master 10 23%
Student > Ph. D. Student 9 20%
Student > Bachelor 4 9%
Professor 3 7%
Other 10 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Computer Science 10 23%
Engineering 7 16%
Agricultural and Biological Sciences 5 11%
Chemistry 3 7%
Other 13 30%