Published on April 29, 2021

As we have entered the precision medicine and big data science era, there are many unmet challenges on identifying the disease related information from large, heterogeneous data, and translating the findings for clinical use. Among these challenges, one is how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential for druggable targets for the development of molecularly targeted cancer therapies. In this talk, I will first review the computational methods and tools for detecting cancer driver genes and mutations from cancer big data. Then, I will present our informatics approaches for identifying cancer mutations and genes from large amount of somatic mutation data. Finally, I will briefly discuss bioinformatics collaboration opportunities and challenges, as well as the Center for Precision Health that I recently developed. 

Please click here for free registration and Zoom link.