BIOL A655 — Experiential Learning: Advanced Bioinformatics 4 Credits
Explores advanced computational theory and methods for analysis of biological phenomena. Utilizes algorithms and databases used in sequence alignment, sequence searching, metagenomics, phylogenetics, analysis of next-generation sequencing data, protein structures, and molecular pathways. Evaluates genomic approaches for understanding complex biological systems in model organisms and human disease. Analyzes authentic datasets. Special Note: Not available for credit to students who have completed BIOL A455 . Registration Restrictions: Graduate standing May Be Stacked With: BIOL A455