Structural Variant Detection
Structural Variant Detection is a computational method within genomic variant analysis that specifically identifies large-scale genomic alterations, such as deletions, duplications, inversions, and translocations, by distinguishing them from smaller variants through the analysis of sequencing data to infer structural differences in genome architecture.
226
Publications
47.6K
Citations
1.9K
Authors
601
Institutions
Publications per year
2017–2026
129
226
The variant call format and VCFtools
Petr Danecek, Adam Auton, Gonçalo R. Abecasis et al. · Bioinformatics · 2011 · 17.8K citations · Full text
LUMPY: a probabilistic framework for structural variant discovery
Ryan M. Layer, Colby Chiang, Aaron R. Quinlan et al. · Genome biology · 2014 · 1.8K citations · Full text
BreakDancer: an algorithm for high-resolution mapping of genomic structural variation
Ken Chen, John W. Wallis, Michael D. McLellan et al. · Nature Methods · 2009 · 1.6K citations
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601
Baylor College of Medicine
Houston, United States
18 h-index
81 publications
14.4K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
17 h-index
60 publications
231.5K citations
University of Washington
Seattle, United States
15 h-index
94 publications
50.8K citations

Johns Hopkins University
Baltimore, United States
14 h-index
55 publications
10K citations

Howard Hughes Medical Institute
Chevy Chase, United States
14 h-index
38 publications
23.7K citations
Harvard University
Cambridge, United States
13 h-index
83 publications
49.9K citations

Broad Institute
Cambridge, United States
12 h-index
171 publications
360K citations
Pacific Biosciences (United States)
Menlo Park, United States
10 h-index
49 publications
9.4K citations
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31 publications · 22.2K citations
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Repository · 24 publications · 884 citations
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16 publications · 4.9K citations
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10 publications · 432 citations
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