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COMPUTATIONAL NUTRITION LAB

Computation. Dietary Intake. Microbiome.

The Computational Nutrition Lab uses computational methods to explore how diet and the microbiome interact to impact health and the prevention of disease.

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COMPUTATIONAL NUTRITION LAB

Food is complex. The Computational Nutrition Lab aims to understand the way food and dietary intake impact health and wellbeing through modulation of the microbiome by using computational methods to explore big data and food databases.

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SCHOLARLY WORK

Articles, Books and Chapters

DAILY SAMPLING REVEALS PERSONALIZED DIET-MICROBIOME ASSOCIATIONS IN HUMANS

Dietary intake is often considered to be a driver of microbiome variation. Johnson et al. use longitudinal sampling and daily dietary records to model microbiome changes in response to diet and find that microbiome responses to diet are personalized.

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A GUIDE TO DIET-MICROBIOME STUDY DESIGN

In this article, we review the current practices in diet-microbiome analysis and study design and make several recommendations for best practices to provoke broader discussion in the field.

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GET IN TOUCH

300 WBOB
1300 2nd Street S
Minneapolis, MN, 55454

abbyj@umn.edu

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