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Methods of Analysis of Microbiome Data

Course Number
5200 (Biostatistics)
Course Instructor(s)
Wei Xu, Konstantin Shestopaloff, Osvaldo Espin-​Garcia

Course Description

This course covers statistical methods for analysis of microbiome and ecological data. The focus will be on familiarizing students with the methods commonly used to analyse microbiome data as well as some methods from statistical ecology from which these methods originated. Emphasis will be on understanding why microbiome data is different from commonly encountered medical data and how the methods developed have attempted to address certain issues. A focus will be placed on understanding the current methods available and when they are applicable, particularly differentiating the two main approaches for data analysis (univariate vs. multi-outcome). As research in these methods is ongoing, current trends in research will be covered.

This is a 0.25 FCE course.

Course Objectives

By the end of the course students will be able to:

  • appreciate how microbiome data differs from more commonly seen healthcare data;
  • understand which methods are appropriate to analyze it.

Methods of Assessment

Assignments (3 @ 20% each) 60%
Paper Presentation 30%
Participation 10%