Title
MetaSV: an accurate and integrative structural-variant caller for next generation sequencing.
Abstract
A Summary: Structural variations (SVs) are large genomic rearrangements that vary significantly in size, making them challenging to detect with the relatively short reads from next-generation sequencing (NGS). Different SV detection methods have been developed; however, each is limited to specific kinds of SVs with varying accuracy and resolution. Previous works have attempted to combine different methods, but they still suffer from poor accuracy particularly for insertions. We propose MetaSV, an integrated SV caller which leverages multiple orthogonal SV signals for high accuracy and resolution. MetaSV proceeds by merging SVs from multiple tools for all types of SVs. It also analyzes soft-clipped reads from alignment to detect insertions accurately since existing tools underestimate insertion SVs. Local assembly in combination with dynamic programming is used to improve breakpoint resolution. Paired-end and coverage information is used to predict SV genotypes. Using simulation and experimental data, we demonstrate the effectiveness of MetaSV across various SV types and sizes.
Year
DOI
Venue
2015
10.1093/bioinformatics/btv204
BIOINFORMATICS
Field
DocType
Volume
Dynamic programming,Data mining,Computer science,Software,DNA sequencing,Bioinformatics,Merge (version control),Python (programming language),Structural variant
Journal
31
Issue
ISSN
Citations 
16
1367-4803
5
PageRank 
References 
Authors
0.54
6
8
Name
Order
Citations
PageRank
Marghoob Mohiyuddin150.54
John C Mu250.54
Jian Li350.54
Narges Bani Asadi450.54
Mark B Gerstein570.91
Alexej Abyzov650.54
Wing Hung Wong760796.45
Hugo Y K Lam850.54