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

Authors

438

  1. HY
    Hugo Y. K. Lam

    Yale University, United States

    3 publications · 3K citations

    3

    h-index

  2. AB
    Ali Bashir

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 2.8K citations

    2

    h-index

  3. XJ
    Xinmeng Jasmine Mu

    Yale University, United States

    2 publications · 2.9K citations

    2

    h-index

  4. MG
    Mark Gerstein

    Yale University, United States

    2 publications · 2.9K citations

    2

    h-index

  5. BJ
    Benjamin J. Raphael

    Princeton University, United States

    2 publications · 199 citations

    2

    h-index

1–5 of 438

Venues

  1. BMC Genomics

    2 publications · 172 citations

    2

    h-index

  2. Nucleic Acids Research

    2 publications · 322 citations

    2

    h-index

  3. Nature

    2 publications · 3.8K citations

    2

    h-index

  4. Genetics in Medicine

    GIM · 2 publications · 625 citations

    2

    h-index

  5. BMC Bioinformatics

    2 publications · 51 citations

    2

    h-index

1–5