Comparative Structural Variant Analysis

Comparative Structural Variant Analysis is a computational genomics method that systematically identifies, characterizes, and contrasts structural variants across species or populations to infer evolutionary, functional, or pathological implications in the context of cancer genetics.

12

Publications

489

Citations

84

Authors

45

Institutions

Publications per year

2017–2026

4

Authors

84

  1. WE
    William E. Biddison

    National Institute of Neurological Disorders and Stroke, United States

    3 publications · 154 citations

    3

    h-index

  2. MS
    Michael S. Krangel

    Duke Medical Center, United States

    2 publications · 139 citations

    2

    h-index

  3. JL
    Jack L. Strominger

    Harvard University, United States

    2 publications · 139 citations

    2

    h-index

  4. DN
    Ditthawat Nonghanphithak

    Khon Kaen University, Thailand

    1 publications · 32 citations

    1

    h-index

  5. BZ
    Barry Ziola

    University of Saskatchewan, Canada

    1 publications · 10 citations

    1

    h-index

1–5 of 84

Venues

  1. The Journal of Immunology

    JI · 2 publications · 81 citations

    2

    h-index

  2. PeerJ

    1 publications · 16 citations

    1

    h-index

  3. Phytopathology

    1 publications · 16 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5