Structural Variant Validation

Structural Variant Validation is a methodological process in genomics that confirms the presence and accuracy of structural variants identified in sequencing data through experimental or computational means, distinguishing it from initial variant detection by focusing on verification and error reduction.

15

Publications

853

Citations

164

Authors

52

Institutions

Publications per year

2017–2026

10

Authors

164

  1. RM
    Ryan M. Layer

    University of Utah, United States

    2 publications · 160 citations

    2

    h-index

  2. AR
    Aaron R. Quinlan

    University of Utah, United States

    2 publications · 160 citations

    2

    h-index

  3. BB
    Ben Busby

    National Center for Biotechnology Information, United States

    2 publications · 39 citations

    2

    h-index

  4. RE
    Ryan E. Mills

    University of Michigan, United States

    2 publications · 117 citations

    2

    h-index

  5. MC
    Murad Chowdhury

    University of Colorado Boulder, United States

    2 publications · 160 citations

    2

    h-index

1–5 of 164

Venues

  1. Genome biology

    4 publications · 409 citations

    4

    h-index

  2. Bioinformatics

    2 publications · 51 citations

    2

    h-index

  3. F1000Research

    2 publications · 39 citations

    2

    h-index

  4. Genome Research

    GR · 1 publications · 44 citations

    1

    h-index

  5. GigaScience

    1 publications · 36 citations

    1

    h-index

1–5