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Metabolic Flux Analysis

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Cover of 'Metabolic Flux Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Stoichiometric Modelling of Microbial Metabolism
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    Chapter 2 Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.
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    Chapter 3 Constraining the Flux Space Using Thermodynamics and Integration of Metabolomics Data
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    Chapter 4 NExT : Integration of Thermodynamic Constraints and Metabolomics Data into a Metabolic Network
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    Chapter 5 Customization of 13C-MFA Strategy According to Cell Culture System
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    Chapter 6 Quantitative Metabolomics Using ID-MS
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    Chapter 7 Determining the biomass composition of a sponge holobiont for flux analysis.
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    Chapter 8 Successful Downsizing for High-Throughput (13)C-MFA Applications.
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    Chapter 9 Labelling Analysis for 13 C MFA Using NMR Spectroscopy
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    Chapter 10 GC-MS-Based 13 C Metabolic Flux Analysis
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    Chapter 11 Dynamic Analysis of CO 2 Labeling and Cell Respiration Using Membrane-Inlet Mass Spectrometry
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    Chapter 12 Correction of MS Data for Naturally Occurring Isotopes in Isotope Labelling Experiments
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    Chapter 13 Steady-State 13C Fluxomics Using OpenFLUX
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    Chapter 14 Flux Visualization Using VANTED/FluxMap
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    Chapter 15 Metabolic Flux Analysis for Escherichia coli by Flux Balance Analysis
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    Chapter 16 13 C-Metabolic Flux Analysis for Escherichia coli
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    Chapter 17 (13)C-Based Metabolic Flux Analysis of Recombinant Pichia pastoris.
Attention for Chapter 16: 13 C-Metabolic Flux Analysis for Escherichia coli
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Chapter title
13 C-Metabolic Flux Analysis for Escherichia coli
Chapter number 16
Book title
Metabolic Flux Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1170-7_16
Pubmed ID
Book ISBNs
978-1-4939-1169-1, 978-1-4939-1170-7
Authors

Yu Matsuoka, Kazuyuki Shimizu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 25%
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Agricultural and Biological Sciences 2 50%