Foundations of Bioinformatics I

Graduate

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. ( 1 unit)