Structural Variant Benchmarking

Structural Variant Benchmarking is a systematic evaluation framework that establishes standardized criteria and reference datasets to assess the accuracy, sensitivity, and performance of computational methods in detecting structural variants within genomic sequences.

44

Publications

3.2K

Citations

371

Authors

153

Institutions

Publications per year

2017–2026

37

Authors

371

  1. TJ
    Tao Jiang

    University of Cambridge, United Kingdom

    4 publications · 562 citations

    5

    h-index

  2. YW
    Yadong Wang

    Harbin Institute of Technology, China

    4 publications · 562 citations

    5

    h-index

  3. YL
    Yadong Liu

    Harbin Institute of Technology, China

    3 publications · 107 citations

    4

    h-index

  4. ET
    Eric T. Dawson

    Nvidia (United States), United States

    3 publications · 399 citations

    3

    h-index

  5. JM
    Justin M. Zook

    National Institute of Standards and Technology, United States

    3 publications · 276 citations

    3

    h-index

1–5 of 371

Venues

  1. Genome biology

    8 publications · 1.3K citations

    9

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 297 citations

    8

    h-index

  3. Nature Communications

    2 publications · 426 citations

    3

    h-index

  4. BMC Genomics

    2 publications · 176 citations

    2

    h-index

  5. Bioinformatics

    2 publications · 67 citations

    2

    h-index

1–5