CSCE 628 Computational Biology
Spring 15

Instructor: Sing-Hoi Sze
Email: shsze@cs.tamu.edu
Meeting: MWF 9:10-10 HRBB 126
Office Hourse: MWF 8:40-9:10 HRBB 328B or by appointment

What is Computational Biology

Computational Biology is the application of computational techniques to solve problems in biology, which involves DNA and proteins. Traditionally, people from various disciplines, such as computer science, mathematics and statistics, formulate and address these problems within their own disciplines. More recently, multi-disciplinary collaborations become the norm, which include participations of biologists and biochemists.

Goal

The main purpose of the course is to expose students to various active research areas in computational biology. Everyone who is interested in computational biology is encouraged to take the course. For most topics, considerable time will be spent on presenting latest research ideas, mostly from the computer science point of view. Emphasis will be placed on problem formulation, where many problems in genomics and proteomics will be seen as graph-theoretic or optimization problems. The focus of the lectures is on presenting the newest computational approaches from research papers after briefly describing classical approaches in each area.

Topics

Grading

Prerequisites

References