|
Georgia Tech's Institutional Repository >
College of Computing (CoC) >
Computational Science and Engineering (CSE) >
Computational Science and Engineering Seminar Series >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1853/30581
|
| Title: | Virus Quasispecies Assembly using Network Flows |
| Authors: | Zelikovsky, Alexander
Georgia State University |
| Subjects : | Sequencing technology
Genome assembly
Optimization |
| Issue Date: | 25-Sep-2009 |
| Publisher: | Georgia Institute of Technology |
| Abstract: | Understanding how the genomes of viruses mutate and evolve within infected individuals is critically important in epidemiology. In this talk I focus on optimization problems in sequence assembly for viruses based on 454 Lifesciences system. Several formulations of the quasispecies assembly problem and a measure of the assembly quality will be given. I will describe a scalable assembling method for quasispecies based on network flow and maximum likelihood formulations and then give details of existing and novel methods for reliably assembling quasipsecies that have very long common segments. Finally, I report the results of assembling 44 quasispecies from the 1700 bp long E1E2 region of Hepatitis C Virus. |
| Description: | Alexander Zelikovsky of Georgia State University presented a lecture on September 25, 2009 at 2:00 pm in room 2443 of the Klaus Advanced Computing Building on the Georgia Tech campus. |
| Type: | Lecture
Video |
| URI: | http://hdl.handle.net/1853/30581 |
| Appears in Collections: | Computational Science and Engineering Seminar Series
|
Items in SMARTech are protected by copyright, with all rights reserved, unless otherwise indicated.
|
