The Brent Lab is developing and applying mathematical/computational methods for mapping gene regulation networks, modeling them quantitatively, and synthesizing new network designs in living cells. We focus on scalable, "data light" methods that can be applied to a new organism from scratch within the scope of a single research lab, including data generation and analysis. The requirement to use only data generation that can be generated by efficient, predictable experiments is a significant constraint on the algorithms we develop. Our major projects are described below.

Current Projects

Mapping Transciption Factor Networks

Modeling Dynamic Transciption Factor Networks

Transcriptome Engineering

Linking Gene Regulation to Metabolism

Capsule Regulation and Virulence in Cryptococcus Neoformans

Regulatory Network Modeling of Diet-induced Diabetes in the Fly