Metabolomics Coming of Age with its Technological Diversity book cover

Metabolomics Coming of Age with its Technological Diversity

Advances in Botanical Research publishes in-depth and up-to-date reviews on a wide range of topics in plant sciences. Currently in its 67th volume, the series features several reviews by recognized experts on all aspects of plant genetics, biochemistry, cell biology, molecular biology, physiology and ecology. This thematic volume features reviews on metabolomics coming of age with its technological diversity.

Audience
Postgraduates and researchers in plant sciences, including botany, plant biochemistry, plant physiology, plant pathology, virology, entomology, and molecular biology

Hardbound, 712 Pages

Published: July 2013

Imprint: Academic Press

ISBN: 978-0-12-397922-3

Contents

    1. High-resolution 1H-NMR spectroscopy and beyond to explore plant metabolome
    2. D. Rolin, C. Deborde, M. Maucourt, C. Cabasson, F, Fauvelle, D. Jacob, C. Canlet, A. Moing

    3. Application of LC-MS and LC-NMR techniques for secondary metabolite identification
    4. Tristan Richard, Hamza Temsamani, Emma Cantos-Villar, Jean-Pierre Monti

    5. Fast and ultrafast quantitative 2D NMR: vital tools for efficient metabolomic approaches
    6. Patrick Giraudeau and Serge Akoka

    7. Liquid chromatography coupled to mass spectrometry based metabolomics and the concept of biomarker
      Samia Boudah, Alain Paris and Christophe Junot
    8. Potential of Fourier Transform Mass Spectrometry for high throughput metabolomics analysis
      Sandra Alves, Estelle Rathahao-Paris, Jean Claude Tabet
    9. The lipid world concept of plant lipidomics
    10. L. Fouillen, B.Colsch, R. Lessire

    11. Isotope ratio mass spectrometer technology to follow plant 1 metabolism: principles and applications of 12C/13C isotopes
    12. Jaleh Ghashghaie and Guillaume Tcherkez

    13. Exploring metabolome with GC/MS
    14. Cyril Jousse and Estelle Pujos-Guillot

    15. High throughput biochemical phenotyping for plants
    16. G. Ménard, B. Biais, D. Prodhomme, P. Ballias, J. Petit, D. Just, C. Rothan, D. Rolin and Y. Gibon

    17. Two Computational Simplex Approaches to Graphical Highlighting Metabolic Phenotypes and their Functional Origins: Correspondence Analysis and Weighted Metabolic Profiles Analysis
    18. Nabil Semmar

    19. Strategies for data-handling and statistical analysis in metabolomics studies
    20. Marianne Defernez and Gwenaelle Le Gall

    21. X Qualitative Modeling of Metabolic Networks
    22. Fabien Jourdan

    23. Modelling Metabolic Networks -The Theories of Metabolism

    Jean-Pierre Mazat and Bertrand Beauvoit

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