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Activity Number: 555 - New Statistical Methods for Microbiome Data Analysis
Type: Invited
Date/Time: Thursday, August 6, 2020 : 3:00 PM to 4:50 PM
Sponsor: ENAR
Abstract #309469
Title: Phylogenetically-Informed Distance Methods for Microbiome Data Analysis
Author(s): Julia Fukuyama*
Companies: Indiana University
Keywords: microbiome; phylogeny; principal components; multi-dimensional scaling

Phylogenetically-informed distances are widely used in ecology, often in conjunction with multi-dimensional scaling, to describe the relationships between communities of organisms and the taxa they comprise. A large number of such distances have been developed, each leading to a different representation of the communities. The ecology literature often tries to interpret the differences between representations given by different distances, but without a good understanding of the properties of the distances it is unclear how useful these interpretations are. I give an overview of some of these distances, describe the interpretational challenges they pose, develop some interesting properties, and comment on opportunities for improvement.

Authors who are presenting talks have a * after their name.

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