Computational methods and data analysis for metabolomics

  • What are the analytical platforms for metabolomics?

    Liquid chromatography-mass spectrometry operated under reversed-phase conditions is the most commonly used platform in metabolomics, which offers extensive coverage for nonpolar and moderately polar compounds..

  • What are the statistical methods of metabolomics?

    Two main statistical approaches are available for metabolite differential level analysis: univariate and multivariate.
    Combination of both methodologies is common to metabolomic biomarker-based studies but this review shall focus on the advantages and increased power gained from multivariate analysis (MVA)..

  • What are the techniques used in metabolomics data analysis?

    There are several univariate methods for metabolomics.
    When assessing differences between two or more groups, parametric tests such as student's t-test, box whisker plots and ANOVA (analysis of variance) are commonly used..

  • Which method is most commonly used in metabolomics?

    Each of these technologies is supported by the two most commonly used and powerful techniques currently available for metabolomics: mass spectrometry and NMR.
    Mass spectrometry-based metabolomics techniques are the most sensitive for simultaneous analysis of a large number of compounds..

  • Combination of metabolomics with sophisticated bioinformatics analysis and mathematical modeling can provide a metabolic snapshot of the patient over the course of disease and treatment or classify patients into subpopulations and subgroups requiring individual medical intervention.
  • Each of these technologies is supported by the two most commonly used and powerful techniques currently available for metabolomics: mass spectrometry and NMR.
    Mass spectrometry-based metabolomics techniques are the most sensitive for simultaneous analysis of a large number of compounds.
  • Metabolomics analysis can be categorized into two approaches, targeted and untargeted metabolomics.
    In targeted metabolomics, the metabolites selected for quantification are known a priori, as defined by the biological problem and may represent specific pathway or class of molecules.
  • Nevertheless, a few main techniques for assessment of the metabolome stand out, and Methodologies for Metabolomics focuses on innovations of the two major analytical approaches: mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy.
  • The procedure of metabolomics analysis mainly involves the following steps: sample preparation, metabolite extraction, derivatization, separation and detection, and data processing (as shown in Figure 1).
    Small changes in any of these steps may have a significant impact on the final results.
$109.00 In stockChapters guide readers through common tools for data processing, using database resources, major techniques in data analysis, and integration with other data  Table of contentsAbout this book
This book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data. Google BooksOriginally published: January 17, 2020

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