Prerequisite: Sophomore standing or higher; Mathematical and computational maturity (basic statistics and knowledge of R and/or Python) AND either BSCI160 or BSCI170 or BIOE120 or permission of the instructor.

Recommended: BSCI222

Acceptable toward Biological Sciences Specialization Areas: CEBG (Genetics category) and GENB (Genetics & Evolution category).

An advanced course introducing students to the computational tools used to analyze microbiome data. The course follows an analysis pipeline from sequence generation to statistical analyses. Emphasis is placed on the theoretical underpinnings of the computational tools used to analyze microbiome data to enable students to critically design analysis strategies for various types of data (targeted and untargeted sequencing) and experimental designs. To be successful in this course, the students must have statistical and computational maturity.