Introduction to Bioinformatics.

Catalog description

Semester course; 3 lecture hours (delivered face-to-face or hybrid). 3 credits. Prerequisites: BNFO 201 and STAT 212 , or STAT 210 , or by permission of the instructor. The course will present a practical and theoretical introduction to the tools and techniques needed to obtain and interpret a variety of genome-related data types. The course will include several bioinformatic methods underlying nucleotide and protein sequence alignment, statistical methods for data analysis using Python, the types of experimental results commonly encountered in bioinformatics data analysis and the public databases where these data can be accessed.