When we think of biology research, we usually think of traditional “wet” labs where experiments are performed and data are generated. But much of our research these days is computational, done in what are known as “dry” labs. Today’s data sets are of such magnitude and complexity that advanced computational methods are essential for data analysis, management and dissemination.
Our computational biology work investigates the precise makeup of both mouse and human genomes and the similarities (and important differences) important for translating preclinical research to clinical benefit. We are also analyzing whole-genome structure, identifying gene networks and understanding gene expression and its regulation, constructing computational models from genomic data so that function and dysfunction can be predicted based on established patterns, and more.