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Metabolomics

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Cover of 'Metabolomics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview
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    Chapter 2 Development and Application of Capillary Electrophoresis-Mass Spectrometry Methods to Metabolomics
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    Chapter 3 Application of Electrospray Ionization Mass Spectrometry for Metabolomics
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    Chapter 4 High-Performance Liquid Chromatography and Liquid Chromatography/Mass Spectrometry Analyses of Metabolites in Microorganisms
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    Chapter 5 Metabolome Profiling of Human Urine with Capillary Gas Chromatography/Mass Spectrometry
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    Chapter 6 Metabolic Profiling by Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) and Electrospray Ionization Quadrupole Time-Of-Flight Mass Spectrometry (ESI-Q-TOF-MS)
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    Chapter 7 Metabolome Analysis by Capillary Electrophoresis
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    Chapter 8 High-Performance Liquid Chromatography for Metabolomics: High-Efficiency Separations Utilizing Monolithic Silica Columns
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    Chapter 9 Combined Analysis of Metabolome and Transcriptome: Catabolism in Bacillus subtilis
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    Chapter 10 Metabolomics in Arabidopsis thaliana
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    Chapter 11 Lipidomics: Metabolic Analysis of Phospholipids
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    Chapter 12 Chemical Diagnosis of Inborn Errors of Metabolism and Metabolome Analysis of Urine by Capillary Gas Chromatography/Mass Spectrometry
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    Chapter 13 Introduction to the ARM Database: Database on Chemical Transformations in Metabolism for Tracing Pathways
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    Chapter 14 The Genome-Based E-CELL Modeling (GEM) System
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    Chapter 15 Hybrid Dynamic/Static Method for Large-Scale Simulation of Metabolism and its Implementation to the E-CELL System
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    Chapter 16 Metabolomics and Medical Sciences
Attention for Chapter 14: The Genome-Based E-CELL Modeling (GEM) System
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Chapter title
The Genome-Based E-CELL Modeling (GEM) System
Chapter number 14
Book title
Metabolomics
Published by
Springer, Tokyo, January 2005
DOI 10.1007/4-431-28055-3_14
Book ISBNs
978-4-43-125121-7, 978-4-43-128055-2
Authors

Kazuharu Arakawa, Yohei Yamada, Kosaku Shinoda, Yoichi Nakayama, Masaru Tomita

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Chemistry 1 33%
Unknown 2 67%