Present-day biomedical researchers are confronted by vast amounts of data from genome sequencing, microscopy, high-throughput analytical techniques for DNA, RNA, and proteins, and a host of other new experimental technologies. Coupled with the advances in computing power, this flow of information should enable scientists to model and understand biological systems in novel ways.
The goals of CS4220 (Knowledge Discovery Methods in Bioinformatics) are:
Expose students to knowledge discovery techniques,
Enhance students' flexible and logical problem solving skills,
Develop students' understanding of bioinformatics and issues in analysis of real-life high-throughput biological data.
To achieve these goals, we do a series of in-depth studies and hands-on projects on topics such as gene expression profile analysis, epistatic interaction detection, protein family recognition, etc.
At the end of the course, students will be able to identify the relevant knowledge discovery techniques for different biological data to uncover new information, as well as be confident in formulating and validating hypothesis underlying observations from biological data.