Chapter 17. Biocomputation and the Analysis of Complex Data Sets in Nutritional Genomics

  1. Jim Kaput2,3,4 and
  2. Raymond L. Rodriguez Ph.D.2,5,6
  1. Kevin Dawson2,5,6,
  2. Raymond L. Rodriguez2,5,6,
  3. Wayne Chris Hawkes1,2 and
  4. Wasyl Malyj2,5,6

Published Online: 10 MAY 2006

DOI: 10.1002/0471781797.ch17

Nutritional Genomics: Discovering the Path to Personalized Nutrition

Nutritional Genomics: Discovering the Path to Personalized Nutrition

How to Cite

Dawson, K., Rodriguez, R. L., Hawkes, W. C. and Malyj, W. (2006) Biocomputation and the Analysis of Complex Data Sets in Nutritional Genomics, in Nutritional Genomics: Discovering the Path to Personalized Nutrition (eds J. Kaput and R. L. Rodriguez), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471781797.ch17

Editor Information

  1. 2

    Center of Excellence in Nutritional Genomics, University of California–Davis, Davis, California, USA

  2. 3

    NutraGenomics, Chicago, Illinois, USA

  3. 4

    Laboratory of Nutrigenomic Medicine, University of Illinois, Chicago, Illinois, USA

  4. 5

    Section of Molecular and Cellular Biology, University of California–Davis, Davis, California, USA

  5. 6

    Bioinformatics Shared Resources Core, University of California–Davis, Davis, California, USA

Author Information

  1. 1

    Western Human Nutrition Research Center, University of California–Davis, Davis, California, USA

  2. 2

    Center of Excellence in Nutritional Genomics, University of California–Davis, Davis, California, USA

  3. 5

    Section of Molecular and Cellular Biology, University of California–Davis, Davis, California, USA

  4. 6

    Bioinformatics Shared Resources Core, University of California–Davis, Davis, California, USA

Publication History

  1. Published Online: 10 MAY 2006
  2. Published Print: 24 MAR 2006

ISBN Information

Print ISBN: 9780471683193

Online ISBN: 9780471781790

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Keywords:

  • diet–gene interactions;
  • data sets in nutritional genomics;
  • biocomputation and complex data set analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Nutritional Genomics: Part of High-Throughput Biology

  • Gene Expression Arrays

  • Proteomics and Metabolomics Data

  • Sources of Complexity in Nutritional Genomics

  • Data Sets in Nutritional Genomics

  • Level of Complexity in Gene Expression Experiments

  • Dimensionality Reduction Methods

  • Case Study (Microarray Experiment of a Dietary Intervention)

  • Conclusion

  • Acknowledgments

  • References