How to Maximize the Utility of Big Cancer Genomic Data?
Dr. Han Liang
Associate Professor,
The University of Texas MD Anderson Cancer Center
Biography:
Dr. Han Liang is an expert in bioinformatics, computational biology, systems biology and molecular biophysics. He is an associate professor and deputy chair at the University of Texas MD Aderson Cancer Center, senior advisor of International Cancer Advocacy Network, the co-leader of International Cancer Genome Consortium Pan-Cancer Whole Genome Project, the chair of The Cancer Genome Atlas Pan-Cancer Clinical/Predictor Working Group, and the advisor of National Cancer Center of Korean. His group focuses on taking full advantage of cancer genomic data to elucidate the molecular basis of human cancer and develop effective prognostic and therapeutic strategies, thereby contributing to the true promise of personalized or precision cancer therapy.
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 the cancer proteomic resource we build for the cancer research community. Then I will present systematic analyses 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.
Welcome!
MOE Key Lab of Bioinformatics ,
School of Life Sciences
Tsinghua University, Tel: (86+) 10 – 62789217
Time: Dec. 8th, 2016 10:00-11:00
Venue: New Biology Building, Room 143
Host: Dr. Zhi Lu
