AJCN EB Program 2010 Early Registration
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lemay, D. G
Right arrow Articles by German, J B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lemay, D. G
Right arrow Articles by German, J B.
Agricola
Right arrow Articles by Lemay, D. G
Right arrow Articles by German, J B.
American Journal of Clinical Nutrition, Vol. 86, No. 5, 1261-1269, November 2007
© 2007 American Society for Nutrition

COMMENTARY

Building the bridges to bioinformatics in nutrition research1,2,3

Danielle G Lemay, Angela M Zivkovic and J Bruce German

1 From the Department of Food Science and Technology, University of California, Davis, CA (DGL, AMZ, and JBG), and Nestlé Research Centre, Lausanne, Switzerland (JBG)

Like other life sciences, nutrition science can benefit enormously from the techniques of bioinformatics. In this article, the steps necessary to enable bioinformatic approaches in nutrition research are outlined, from the short-range goal of immediately making data available in ad hoc author-defined formats to the longer range goals of full standardization of nutrition experiments and migration of all experimental data into databases. Several examples of what will be possible for nutrition researchers in this new paradigm are described. Ultimately, nutrition data can be continually recycled to reinvestigate existing hypotheses and to generate new hypotheses that would not have been conceivable at the time of the original experiments. The standardization of experimental designs and the conversion of nutrition data into a machine-readable format will bring about a renaissance in nutrition research, accelerating the ability of investigators to discover the implications of nonessential nutrients and food components, and enable the study of complex metabolic interactions in human health and disease.

Key Words: Nutrition • bioinformatics • standardization • nutrition standards • biomarkers • bioprofiles • biomarker discovery • nutrigenomics • systems biology • informatics • meta-analysis • computational biology • applied bioinformatics • databases • ontologies • genomics






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2007 by The American Society for Nutrition