Han Liang
University of Texas MD Anderson Cancer Center, USA
Title: How to maximize the utility of big cancer genomic data?
Biography
Biography: Han Liang
Abstract
The Cancer Genome Atlas (TCGA) project represents the largest effort to systematically characterize the molecular profiles of human cancers. A central question for the cancer research community is how to use these genomic and proteomic data effectively to deliver the clinical benefits to cancer patients. In my talk, I will first introduce some useful bioinformatics tools we recently developed for effectively analyzing and visualizing TCGA data including TCPA for cancer proteomics and TANRIC for long non-coding RNAs. Then I will present systematic analyses of the power of diverse TCGA molecular data in predicting patient survival times and of the sex effects across cancer types. Finally, I will focus on the biomedical significance and clinical relevance of RNA editing in human cancer. Together, my talk will cover three key aspects of big cancer genomic data: User-friendly bioinformatics tools, more systematic analyses and discovery of novel molecular drivers