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
design.
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
Associate Professor
University of Minnesota
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