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This workshop is a special addition to the Bioinformatics 102 series this year, and will focus on microbiome data analysis in R. The main goal this workshop is to give an introduction to the structure, composition, and analysis of microbiome data in R. Attendees will learn how to produce and interpret exploratory data analysis (heat maps, bacterial composition bar plots, alpha and beta diversity), as well as how to determines the features most likely to explain differences between classes (e.g. patients with and without disease status) using Linear discriminant analysis Effect Size (LEfSe) analysis. We will use publicly available Human microbiome project data available through the HMP2Data R package to illustrate these analyses.