Structural Variant Classification
Structural Variant Classification is a computational method in genomics that categorizes structural variants based on their molecular characteristics, genomic impact, and biological significance, distinguishing it from other variant analysis approaches by its focus on large-scale genomic alterations such as deletions, duplications, inversions, and translocations.
33
Publications
6.5K
Citations
438
Authors
239
Institutions
Publications per year
2017–2026
17
33
An integrated map of structural variation in 2,504 human genomes
Peter H. Sudmant, Tobias Rausch, Eugene J. Gardner et al. · Nature · 2015 · 2.7K citations · Full text
A structural variation reference for medical and population genetics
Ryan L. Collins, Harrison Brand, Konrad J. Karczewski et al. · Nature · 2020 · 1.2K citations · Full text
1–5 of 33
438
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 438
239
University of Michigan
Ann Arbor, United States
5 h-index
13 publications
13.3K citations
National Institutes of Health
Bethesda, United States
5 h-index
8 publications
6K citations
Harvard University
Cambridge, United States
4 h-index
36 publications
44.9K citations
National Human Genome Research Institute
Bethesda, United States
4 h-index
5 publications
5.6K citations

European Bioinformatics Institute
Cambridge, United Kingdom
3 h-index
8 publications
17.3K citations
University of California San Diego
San Diego, United States
3 h-index
10 publications
13.7K citations
Vanderbilt University Medical Center
Nashville, United States
2 h-index
3 publications
2.4K citations
Brown University
Providence, United States
2 h-index
5 publications
712 citations
1–8 of 239
2 publications · 172 citations
2
h-index
2 publications · 322 citations
2
h-index
2 publications · 3.8K citations
2
h-index
GIM · 2 publications · 625 citations
2
h-index
2 publications · 51 citations
2
h-index
1–5