报告题目：Challenging computational problems in NGS data analysis and structural bioinformatics
报告人：Jianyan Li教授(澳大利亚University of Technology Sydney)
In this seminar, I will talk about compression algorithms and error correction algorithms for NGS data management. This will include referential genome compression, RNA-sequencing reads compression and Illumina NGS data error correction. In the second part, I will talk about double water exclusion hypothesis recently used in structural bioinformatics. This hypothesis is useful for live vaccine design.
Dr. Jinyan Li is a Professor of Data Science and Program Leader of Bioinformatics at the Advanced Analytics Institute, University of Technology Sydney, Australia. He has been actively working on data mining and bioinformatics for 18 years. He has published 180 papers, including 100 papers in the prestigious journals of data mining, machine learning, and computational biology. He is widely known for his pioneering research on the theories and algorithms of emerging patterns. One of these papers has received 1100 Google Scholar citations.Jinyan has a Bachelor degree of Science (Applied Mathematics) from National University of Defense Technology (China), a Masters degree of Engineering (Computer Engineering) from Hebei University of Technology (China), and a PhD degree (Computer Science) from the University of Melbourne (Australia). More details of his research can be found athttp://www.uts.edu.au/staff/jinyan.li