seabet casino title：Models and algorithms in seabet casino
seabet casino time：12month11:00 am on the 17th
Reporting location：School Main Computer Building313
Reporter：Yu LinDoctor(AustraliaAustralian National seabet casino)
Abstract：
The recent breakthroughs in assembling long error-prone reads (generated by third-generation sequencing) were based on the overlap-layout-consensus approach and did not utilize the strengths of the alternative de Bruijn graph approach to seabet casino. In this talk, I will show how to generalize the de Bruijn graph model to assemble long error-prone reads and describe new algorithms that result in more accurate genome reconstructions than the existing state-of-the-art algorithms. Moreover, the new graph model can also be applied to improving assemblies for second-generation sequencing, bridging the analysis of seabet casino, genome rearrangements and segmental duplications in the human genome.
Biography：
Yu Lin is a lecturer and group leader at the Research seabet online sports betting, the Australian National seabet casino. Prior to this, he was a postdoctoral scholar, hosted by Prof Pavel Pevzner at the Department of Computer Science and Engineering, seabet casino of California, San Diego. He received his PhD in Computer Science under Prof Bernard Moret from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. His research focuses on computational biology, and he has been working on algorithms for genome assembly, the analysis of genome rearrangements, and phylogenetic reconstruction.
