QBS 146 Foundations of Bioinformatics I

The goal of computational biology is to catalog and model the information within living systems. In this class, we use tools developed in statistics, computer science, and biology to explore how living systems encode and process information to generate complex structures and interact with the world at large. We'll review key conceptual advances and implement a number of core computational algorithms, including Gibbs sampling, clustering, and hidden Markov models, all of which we run on biological data.

Instructor

Aaron McKenna

Cross Listed Courses

GENE 146

Prerequisite

Basic knowledge of Python programing is helpful but not required.