Principal Investigator David Gifford
The goal of this project is to develop computational methods to discover human genome regulatory elements at high spatial resolution from high throughput sequencing data such as ChIP-Seq, DNase-Seq and RNA-Seq, to learn models of the regulatory genome grammars, and to test these grammars experimentally using massively parallel reporter assay (MPRA) to further improve the grammar models. A deeper understanding of regulatory genome grammars is important in elucidating the mechanisms of gene regulation and interpreting the functional role of regulatory genetic variations in health and diseases.