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Bioinformatics and the nutrigenomics research programme

Six researchers explain what bioinformatics is and it is important in the Nutrigenomics Project.

In the nutrigenomics project, researchers will be looking for links between genetic information, food molecules and cellular responses to foods. Huge numbers of different DNA sequences and different food molecules will be screened. People who understand science need to be involved. To understand all the data, though, people who understand statistics and computers also need to be involved.

Transcript

Dr Julian Heyes (Plant & Food Research): Bioinformatics is all about looking for patterns in very complex data sets.

Dr Andrew Shelling (Faculty of Medical and Health Sciences, The University of Auckland): We are going to be dealing with thousands of patients and a large number of genes.

Dr William Laing (Plant & Food Research): The mircoarrays are done by specialised labs that will generate huge numbers … huge lists of genes and how much they have changed in expression with a particular cell line fed a particular polyphenolic, or fed a tannin, or fed some other chemical from the plant.

Professor Lynn Ferguson (Faculty of Medical and Health Sciences, The University of Auckland): Once we’ve got those, how do we pick out what it is that's working? It may be one particular chemical; it may be a mix of chemicals. And we have to use bioinformatics to try and sort out what the food information - what the dietary information is telling us.

Dr Julian Heyes (Plant & Food Research): And so you imagine looking for commonalities amongst ten thousand chemicals that may have been screened.

Dr Warren McNabb (AgResearch): The advancement in computing power is what sits behind it, our ability to do all this biology, to be able to handle 40,000 genes on a single chip, and to look at all of the changes in expression in one experiment.

Dr Martin Philpott (Faculty of Medical and Health Sciences, The University of Auckland): And so part of the nutrigenomics programme is to have involvement of not just biologists and people like myself, but also statisticians and people who are called bioinformaticists.

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