RAPTR-SV: a hybrid method for the detection of structural variants
Author(s) -
Derek M. Bickhart,
J.L. Hutchison,
Lingyang Xu,
Robert D. Schnabel,
Jeremy F. Taylor,
James M. Reecy,
Steven Schroeder,
Curtis P. Van Tassell,
Tad S. Sonstegard,
George E. Liu
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv086
Subject(s) - computer science , java , software , identification (biology) , sensitivity (control systems) , sequence (biology) , programming language , data mining , biology , genetics , botany , electronic engineering , engineering
Identification of structural variants (SVs) in sequence data results in a large number of false positive calls using existing software, which overburdens subsequent validation.
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