Introduction to comparative and fuctional analysis of genomic and metagenomic datasets, including microbial functions that affect host health. Analyzing existing and novel datasets with field-standard techniques.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesIntroductory coding and mommand-line experience (e.g. Bio 664 for grad students or seek instructor's consent); strongly recommend Bio/MMBio/PWS 468 or corresponding graduate sections.
 TaughtWinter odd years
Course Outcomes: 

Application of a broad knowledge base in genome biology

Students can apply basic concepts in genetics, molecular biology, and bioinformatics in solving metagenomics problems.

Deep knowledge skills in metagenomics

Students will demonstrate expanded understanding of metagenomic and comparative genomic theories and techniques.

Laboratory skills in metagenomics

Students can predict metagenomic content from samples, and compare genomic and metagenomic content across samples.

Computational research management skills

Students can assemble and annotate genomes, including targeted shotgun metagenomes.

Literature analysis and writing skills

Students can analyze, interpret, and present methodology and results of their own creation in the format of primary literature.