Nature built regulatory DNA sequences using billions of years of evolution. The Garg laboratory doesn't have that kind of time. Instead, we are using the wealth of genomics data to train generative models capable of predicting the effects of different regulatory sequences and architectures. By studying these models, we can classify different types of regulatory sequences, and define their impact on the regulated genes. We validate model predictions using experimental approaches drawn from cell and molecular biology.
