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Computational Approaches to Metabolomics

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Bioinformatics Methods in Clinical Research

Part of the book series: Methods in Molecular Biology ((MIMB,volume 593))

Abstract

This chapter is intended to familiarize readers with the field of metabolomics and some of the algorithms, data analysis strategies, and computer programs used to analyze or interpret metabolomic data. Specifically, this chapter provides a brief overview of the experimental approaches and applications of metabolomics followed by a description of the spectral and statistical analysis tools for metabolomics. The chapter concludes with a discussion of the resources that can be used to interpret and analyze metabolomic data at a biological or clinical level. Emerging needs, challenges, and recent progress being made in these areas are also discussed.

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Authors and Affiliations

  1. Departments of Computing Science and Biological Sciences, University of Alberta, Edmonton, Alberta, Canada

    David S. Wishart

  2. National Institute for Nanotechnology, Edmonton, Alberta, Canada

    David S. Wishart

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  1. David S. Wishart
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Editors and Affiliations

  1. Inst. Patologia e Imunologia Molecular, Universidade do Porto, Rua Dr. Roberto Frias s/n, Porto, 4200-465, Portugal

    Rune Matthiesen

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© 2010 Humana Press, a part of Springer Science+Business Media, LLC

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Wishart, D.S. (2010). Computational Approaches to Metabolomics. In: Matthiesen, R. (eds) Bioinformatics Methods in Clinical Research. Methods in Molecular Biology, vol 593. Humana Press. https://doi.org/10.1007/978-1-60327-194-3_14

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  • DOI: https://doi.org/10.1007/978-1-60327-194-3_14

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-193-6

  • Online ISBN: 978-1-60327-194-3

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