Workshop: Calling structural variation with low-coverage sequencing data by mapping to focal region

Jin Zhang, Yufeng Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the problem of Structural Variations (SV) finding, split-read mapping methods which search gaps upto a pre-defined maximum deletion size can be time consuming and less accurate. In this paper, we present a split read mapping method that calls SVs with low-coverage sequencing data by mapping to focal region. Simulation results suggest that our method is more efficient and accurate than several alternative methods.

Original languageEnglish
Title of host publication2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
DOIs
StatePublished - May 8 2012
Event2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012 - Las Vegas, NV, United States
Duration: Feb 23 2012Feb 25 2012

Publication series

Name2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012

Conference

Conference2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period02/23/1202/25/12

Keywords

  • high-throughput sequencing
  • sequence data analysis
  • structural variations

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