Title
SV-STAT accurately detects structural variation via alignment to reference-based assemblies.
Abstract
SV-STAT works across multiple sequencing chemistries, paired and single-end technologies, targeted or whole-genome strategies, and it complements existing SV-detection software. The method is a significant advance towards accurate detection and genotyping of genomic rearrangements from DNA sequencing data.
Year
DOI
Venue
2016
10.1186/s13029-016-0051-0
Source Code for Biology and Medicine
Keywords
Field
DocType
Algorithm,Cancer,Genome,Genotype,Sequencing,Structural variation,Translocation
Genome,Structural variation,Computer science,Breakpoint,DNA sequencing,Bioinformatics,Health informatics tools,False positive paradox
Journal
Volume
Issue
ISSN
11
1
1751-0473
Citations 
PageRank 
References 
0
0.34
1
Authors
13