Structural Variant Integration

Structural Variant Integration is a computational methodology in genomic data integration that specifically enables the systematic harmonization and analysis of large-scale DNA structural variations—such as deletions, duplications, inversions, and translocations—across heterogeneous biological datasets to improve variant detection, functional annotation, and association with phenotypic outcomes.

8

Publications

1.1K

Citations

137

Authors

56

Institutions

Publications per year

2017–2026

4

Authors

137

  1. ZC
    Zechen Chong

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 816 citations

    2

    h-index

  2. OS
    Oliver Stegle

    European Bioinformatics Institute, United Kingdom

    1 publications · 804 citations

    1

    h-index

  3. GC
    Gang Cao

    Huazhong Agricultural University, China

    1 publications · 25 citations

    1

    h-index

  4. AD
    Ashley D. Sanders

    European Molecular Biology Laboratory, Germany

    1 publications · 804 citations

    1

    h-index

  5. AO
    Anna O. Basile

    New York Genome Center, United States

    1 publications · 804 citations

    1

    h-index

1–5 of 137

Venues

  1. BMC Genomics

    1 publications · 94 citations

    1

    h-index

  2. Briefings in Bioinformatics

    1 publications · 80 citations

    1

    h-index

  3. BMC Bioinformatics

    1 publications · 12 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 74 citations

    1

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 15 citations

    1

    h-index

1–5