Title
Gustaf: Detecting and correctly classifying SVs in the NGS twilight zone.
Abstract
Motivation: The landscape of structural variation (SV) including complex duplication and translocation patterns is far from resolved. SV detection tools usually exhibit low agreement, are often geared toward certain types or size ranges of variation and struggle to correctly classify the type and exact size of SVs. Results: We present Gustaf (Generic mUlti-SpliT Alignment Finder), a sound generic multi-split SV detection tool that detects and classifies deletions, inversions, dispersed duplications and translocations of >= 30 bp. Our approach is based on a generic multi-split alignment strategy that can identify SV breakpoints with base pair resolution. We show that Gustaf correctly identifies SVs, especially in the range from 30 to 100 bp, which we call the next-generation sequencing (NGS) twilight zone of SVs, as well as larger SVs > 500 bp. Gustaf performs better than similar tools in our benchmark and is furthermore able to correctly identify size and location of dispersed duplications and translocations, which otherwise might be wrongly classified, for example, as large deletions.
Year
DOI
Venue
2014
10.1093/bioinformatics/btu431
BIOINFORMATICS
Keywords
Field
DocType
computer science,programming
Data mining,Structural variation,Genomic Structural Variation,Source code,Computer science,Terminator (solar),Bioinformatics
Journal
Volume
Issue
ISSN
30
24
1367-4803
Citations 
PageRank 
References 
8
0.64
14
Authors
4
Name
Order
Citations
PageRank
Kathrin Trappe180.64
Anne-katrin Emde21016.06
Hans-Christian Ehrlich380.64
Knut Reinert41020105.87