Human Microbiome Bioinformatics
Instructor: Prof. Kristi MacCready and Prof. Tom Schmidt
Time: Lecture: Friday 2:00 – 3:00 pm
Lab: Wednesday 3:00 – 6:00 pm
Note: Please submit only ONE application form no matter how many courses you are applying to. There is just one application link and you will be prompted to select all courses you wish to apply for and then rank your preferences. If you apply more than once, we will consider your most recent application as the valid one and disregard previous applications.
In this course students will learn the statistical tests and data analysis techniques necessary to analyze microbiomes, with a focus on the human gut microbiome. The course will contain three modules: Introduction to programming and data analysis in R, Introduction to statistics, and measuring microbial diversity. The computer laboratory sessions will be supplemented by the Bio173 Microbiome lecture so that students will have sufficient background knowledge to ask research questions about the gut microbiome. Skills learned in the bioinformatics lab will allow students to answer their research questions using datasets accumulated from all semesters of the ARC microbiome sections of Bio 173.
Prerequistes: Completion of either Bio 171, 172, 192 or AP Biology credit.