Wednesday, March 23, 2016 4:00pm - 5:00pm
Watson CIT - SWIG Boardroom (CIT241)
Epigenetic Remodeling in Human Genomes and its Implications for Human Aging and Diseases.
My lab’s research aims to bridge the gap between genomics data generation from clinical samples and our ability to infer and interpret intricate regulatory programs that underpin cell function and dysfunction in human cells. We focus on developing machine-learning and network-mining algorithms that enable integration of data from diverse sources since complex regulatory interactions and diverse regulatory elements cannot be inferred from single-type data. Moreover, by making our tools online, publicly available, and easy to use, we empower other research programs via analyses of their own data. With these tools, we investigate the dynamics of human epigenomes and regulatory circuits in immunological and metabolic phenotypes. For this, we work closely with a cross-disciplinary team of scientists; clinicians, immunologists, and experts in genomics technology development, to which we bring the data mining expertise and together we develop, customize, and validate computational methods for mining human genomes. By studying clinical genomic datasets, with the advanced computational models and software we are building we aim to i) identify critical regulatory elements with putative roles in complex human phenotypes; ii) build computational models to discover personalized genomic patterns; and iii) infer down-stream and system-level implications of disrupting activities of critical regulatory elements.
Hosted by Ashley Webb & The CCMB