We have been working on translational bioinformatics and personalized medicine from four directions. 1). To integrate genome sequencing, exome sequencing, and RNA-Seq data to drive personalized cancer therapy. 2). To predict personal risk of disease through integrating genome sequencing, electronic medical records, and environmental factors. 3) To integrate and translate various molecular measurements in the public repositories into biomarkers for the diagnosis of disease. 4). To discover the causal variants, pathway, and mechanism to illustrate human disease through integrative genomics.