BIO 330 - Introduction to BioinFormatics Applications

Credits: 3

An introduction to the ways computers are used to make sense of biological inFormation, especially the data generated by the human genome project. Topics covered include databases and data mining, pair-wise, and multiple sequence alignment, molecular phylogeny, finding genes in raw DNA sequences, predicting protein and RNA secondary and tertiary structures, generating and analyzing transcriptomic data, rational drug design, metabolic simulation and artificial intelligence.

Pre-Requisites: BIO 225- BIO 226, CHM 231- CHM 232,MTH 150, or permission of instructor.
Terms Offered: Fall
Repeatable: May not be repeated for credit
Note: This course satisfies the requirement for a course with an emphasis in quantitative biology.