Course Description
Introduction to programming skills in computational and systems biology. Topics include real-world examples, processing genome or proteome data, and analyzing large-scale data. The idea of “big data” will be emphasized to help students with their coding skills to discovering new knowledge in biomedical sciences and solving biomedical problems.
Athena Title
Prog for Comp and Syst Biol
Prerequisite
ELEE 2040 or CSCI 1301-1301L or ENGR 1140 or permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
By the end of this course, students will have • employed their programming skills on a variety of topics in computational and systems biology • understood the basic idea of biomedical data • learned programming in Python • written a couple of scripts to collect and process biomedical data automatically • gained the ability to apply programming skills in biological problems • learned the concepts of clustering and classification • built a kinetic model and performed a simulation • produced a prediction outcome with input data • compared the strengths and weaknesses of different algorithms
Topical Outline
Topics will include: • Introduction of computational and systems biology • Biomedical data and online databases • Programming in Python • Automatic data capture • Processing sequence and genome data • Processing structural data of protein • Programming in kinetic models • Programming in data analysis • Clustering and classification