Complex Structural Variant Analysis
Complex Structural Variant Analysis is a computational methodological framework within structural variant analysis that specifically addresses the identification, characterization, and interpretation of structurally intricate genomic alterations involving multiple co-occurring or nested rearrangements, distinguished from simpler variants by their topological complexity and reliance on advanced integrative algorithms to resolve underlying molecular mechanisms.
25
Publications
3.2K
Citations
320
Authors
133
Institutions
Publications per year
2017–2026
17
Parents
25
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
SVision: a deep learning approach to resolve complex structural variants
Jiadong Lin, Songbo Wang, Peter A. Audano et al. · Nature Methods · 2022 · 110 citations · Full text
1–5 of 25
320
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 320
133

Broad Institute
Cambridge, United States
4 h-index
29 publications
2.1K citations
Dana-Farber Cancer Institute
Boston, United States
3 h-index
14 publications
910 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
3 h-index
4 publications
144 citations
University of California, San Francisco
San Francisco, United States
3 h-index
5 publications
675 citations
Mayo Clinic
Rochester, United States
2 h-index
2 publications
114 citations
Rockefeller University
New York, United States
2 h-index
8 publications
1.2K citations
Columbia University
New York, United States
2 h-index
2 publications
295 citations
Tri-Institutional PhD Program in Chemical Biology
New York, United States
2 h-index
8 publications
1.2K citations
1–8 of 133
2 publications · 2K citations
2
h-index
Repository · 2 publications · 34 citations
2
h-index
1 publications · 32 citations
1
h-index
1 publications · 29 citations
1
h-index
1 publications · 14 citations
1
h-index
1–5