Ohio State is in the process of revising websites and program materials to accurately reflect compliance with the law. While this work occurs, language referencing protected class status or other activities prohibited by Ohio Senate Bill 1 may still appear in some places. However, all programs and activities are being administered in compliance with federal and state law.

Micro 8161

Microbiome Informatics

Credit Hour(s): 3 Units
Instructor(s): Sullivan
Offered: Autumn
Prerequisite(s): Graduate standing

Learning Objectives:

  • Gain exposure to approaches for studying the function, structure and evolutionary history of genes observed in sequence datasets.
  • Learn approaches for organizing sequence datasets into organismal units using marker genes (e.g., 16S) and shotgun metagenomics data.
  • Learn ecological statistical approaches to discern community structure and ecological drivers from large-scale metagenomic datasets.
  • Introduction to other sequence-based datasets including viral metagenomes, as well as metatranscriptomics, metaproteomics, metabolomics, etc.
  • Design, implement and interpret an informatics group project to further biological understanding of microbes.