Our lab is interested in the development of computational approaches to interpret genomic data. These methodologies allow us to develop large-scale models of transcriptional and epigenetic regulation as well as signal transduction. Our approach is to build models that integrate varied data that sheds light on these phenomena. This data is produced using the latest generation of high throughput sequencers, tiling and expression arrays along with mass spectrometry. Our research focuses on the development of both low and high-level analyses. For instance we are developing suites of tools for the analysis of high throughput sequencing data, as well as tools that combine multiple data types to infer transcriptional regulatory mechanisms.