DRAFT - 2026-2027 Graduate Catalog 
    
    Apr 01, 2026  
DRAFT - 2026-2027 Graduate Catalog

BIOL 556 - Bioinformatics


Credit(s): 3
Lecture Hours: 2
Lab Hours: 2
When Offered: Spring, As Needed

This course introduces the basic computational methods and software commonly used in molecular sequence analysis. Topics will include biological sequence data formats and major public databases, online resources for identifying and analyzing biological sequence data, phylogenetic analysis, recombinant DNA construction, genome evolution and proteomics data analysis. Emphasis will be placed on understanding the application of methods to actual biological sequence data. This course is aimed at students without molecular biology experience but who may need to understand and manipulate biological sequence data in a real-life setting. This course is application-oriented and will not require any background in computer programming. Two hours of lecture per week and two hours of computer lab per week.

Prerequisite(s): Grades of C or better in the following courses: BIOL 130 -140 and MATH 110 or MATH 140 or higher level math
Corequisite(s): BIOL 556L
Crosslisted With: BIOL 356