Paper Title
Transforming High-Throughput Omicsdata to Biomedicine

Abstract
Advance of high throughput technologies such as next generation sequenceshasgenerated tens of millions of biological data (“Omics”) from bench work. Efficiently processing, analyses and interpretation of these high-throughput information will not only help our understanding of biologicalmechanisms controlling human cancer and diseases, but only provide a basis for transform the derived results to bedside (clinical needs), for example, molecular diagnosis and prognosis, targeted therapeutics or drug development, etc. However, meanwhile, it raises a major challenge for biomedical scientists: development of computational methodologies or software that is able to integrate and interpret these multi-dimensional Omics data effectively. My major interests are the discovery of biological importance from the integrated analysis of big datasets, and facilitation of translational medicine.