Introduction
The Program in Quantitative and Computational Biology is offered by the Lewis-Sigler Institute for Integrative Genomics and its affiliated departments. The program is designed to instruct students in the theory and practice of using big data sets to achieve a quantitative understanding of complex biological processes.
Examples of ongoing research include organizational principles of metabolic networks, quantitative modeling of cell biological processes, the genetic basis of complex behavior, comparative genomics of regulatory networks, quantitative analysis of gene-environment interactions, evolution of gene regulation, and circuitry driving aging.
At the core of the curriculum is independent research initiated in the fall of sophomore or junior year, in which students participate in the design, execution, and analysis of experiments in a host laboratory of their choice. The required courses provide a strong background in modern methodologies in data analysis, interpretation, and modeling. A certificate in quantitative and computational biology is awarded to students who successfully complete the program requirements.
Prerequisites
Integrated Science (recommended) or three foundational classes from the lists below.
ISC 231-234 An Integrated, Quantitative Introduction to the Natural Sciences (recommended, and counts as three foundational classes)
Or the following:
Foundation in Computer Science. The following course or approved equivalent:
- COS 126/EGR 126 Computer Science: An Interdisciplinary Approach
Foundation in Biology. One of the following courses or approved equivalent:
- MOL 214/EEB 214/CBE 214 Introduction to Cellular and Molecular Biology
- EEB 211 Life on Earth: Mechanisms of Change in Nature
Foundation in Math or Statistics. One of the following courses or approved equivalent:
- 200-level math course (or higher)
- ORF 245/EGR 245 Fundamentals of Statistics
