Speaker: Lusheng Wang, City University of Hong Kong      

Time: 10:00-12:00 am, Nov. 20, 2014

Venue: Meeting Room 202, Office Building, Software Campus

Host: Daming Zhu

 Abstract: Haplotypes play a crucial role in genetic analysis and have many applications such as gene disease diagnoses, association studies, ancestry inference, etc. The development of DNA sequencing technologies makes it possible to obtain haplotypes from a set of aligned reads originated from both copies of a chromosome of a single individual. This approach is often known as haplotype assembly.

     Due to the current sequencing techniques, the reads are decomposed into a set of disjoint blocks, where the reads from different blocks do not overlap. Consequently, the assembled haplotype usually contains thousands of small disjoint pieces (blocks). Obtaining one piece of haplotype covering the whole chromosome remains a challenge problem and has attracted lots of attentions recently. This problem is referred to as the chromosomal haplotype assembly problem.  

      In this talk, we will discuss computational methods for Chromosomal Haplotype Assembly.

Bio:   Lusheng Wang got his Ph.D degree from McMaster University, Hamilton, Ontario, Canada in 1995. He joined the Department of Computer Science, City University of Hong Kong in 1996, where he served as assistant professor, associate professor, professor, acting head, and associate Dean (College of Science and Engineering). His research interested in algorithms for computational biology and bioinformatics. He is currently associate editor for IEEE/ACM Trans. On Computational Biology and Bioinformatics (TCBB), BMC Bioinformatics, Journal of Computational Biology and Bioinformatics, Journal of Computers and System Sciences.