Structural Variant Visualization
Structural Variant Visualization is a genomic data visualization method that specifically represents large-scale DNA alterations, such as deletions, duplications, inversions, and translocations, by encoding their type, genomic location, and structural relationship to reference sequences and other genomic features.
23
Publications
1.1K
Citations
164
Authors
70
Institutions
Publications per year
2017–2026
14
23
Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs
Kevin Hadi, Xiaotong Yao, Julie M. Behr et al. · Cell · 2020 · 280 citations · Full text
Ribbon: intuitive visualization for complex genomic variation
Maria Nattestad, Robert Aboukhalil, Chen-Shan Chin et al. · Bioinformatics · 2020 · 98 citations · Full text
1–5 of 23
164
National Institute of Standards and Technology, United States
2 publications · 74 citations
2
h-index
2
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2
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National Institute of Standards and Technology, United States
2 publications · 74 citations
2
h-index
2
h-index
1–5 of 164
70

Howard Hughes Medical Institute
Chevy Chase, United States
4 h-index
5 publications
653 citations
University of Washington
Seattle, United States
4 h-index
20 publications
1.4K citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
155 citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
2 h-index
4 publications
310 citations
Stanford University
Stanford, United States
2 h-index
4 publications
148 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
5 publications
209 citations
Fred Hutch Cancer Center
Seattle, United States
2 h-index
13 publications
2K citations
Rockefeller University
New York, United States
1 h-index
4 publications
1.1K citations
1–8 of 70
6 publications · 278 citations
6
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3 publications · 108 citations
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Repository · 3 publications · 91 citations
3
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2 publications · 98 citations
2
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2 publications · 32 citations
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1–5