Diet is one of the main drivers of human microbiome variation, and measuring it is an important part of any microbiome study. However, there is limited consensus about how best to collect and analyse diet data in the context of microbiome studies.
In this webcast, the speaker will present findings from a recent
dense shotgun metagenomics longitudinal study of personalized
diet-microbiome interactions in healthy subjects, and will recommend
best practices for incorporating diet into microbiome study
Participants will learn to design microbiome studies that maximize power and chances of success within a given research budget, and better understand how personalized diet-microbiome interactions could be affecting outcomes of their studies.
Dr. Dan Knights
University of Minnesota
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