Sunduz Keles, Ph.D.

Professor, Department of Biostatistics & Medical Informatics, University of Wisconsin

“Integrative Models of Genomic and Epigenomic Data“

Consortium projects such as ENCODE and NIH Roadmap Epigenomics generated a wealth of genomic and epigenomic data. We will present two general modeling frameworks for efficiently utilizing these data in genome-wide inference problems. Specifically, we will present integrative models to (i) identify protein-DNA and long-range interactions involving repetitive genomic DNA; (ii) integrate functional annotation information into genome-wide association studies.