DocumentCode :
1809974
Title :
Workshop: Calling Structural Variation with low-coverage sequencing data by mapping to focal region
Author :
Zhang, Jin ; Wu, Yufeng
Author_Institution :
Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2012
fDate :
23-25 Feb. 2012
Firstpage :
1
Lastpage :
1
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.
Keywords :
diseases; genomics; calling structural variation; focal region; low-coverage sequencing data; predefined maximum deletion size; split-read mapping methods; structural variation finding; Accuracy; Bioinformatics; Computer science; Genomics; Humans; Simulation; high-throughput sequencing; sequence data analysis; structural variations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1320-9
Electronic_ISBN :
978-1-4673-1319-3
Type :
conf
DOI :
10.1109/ICCABS.2012.6182679
Filename :
6182679
Link To Document :
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