Variant Visualization

Variant Visualization is a genomic data visualization technique that specifically represents genetic variants by depicting their genomic context, frequency, and functional impact, distinguishing it from broader genomic visualizations by focusing on the identification, localization, and interpretation of sequence variations.

114

Publications

33.8K

Citations

580

Authors

207

Institutions

Publications per year

2017–2026

55

Authors

580

  1. MN
    Maria Nattestad

    Johns Hopkins University, United States

    4 publications · 609 citations

    4

    h-index

  2. GR
    Gonçalo R. Abecasis

    University of Michigan, United States

    3 publications · 3.3K citations

    3

    h-index

  3. JN
    John Novembre

    University of Chicago, United States

    3 publications · 213 citations

    3

    h-index

  4. MC
    Michael C. Schatz

    Johns Hopkins University, United States

    3 publications · 597 citations

    3

    h-index

  5. MB
    Michael Boehnke

    University of Michigan, United States

    3 publications · 3.3K citations

    3

    h-index

1–5 of 580

Venues

  1. Bioinformatics

    35 publications · 7.7K citations

    24

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 15 publications · 1.7K citations

    13

    h-index

  3. Nucleic Acids Research

    9 publications · 570 citations

    9

    h-index

  4. BMC Bioinformatics

    8 publications · 1.1K citations

    8

    h-index

  5. PLoS ONE

    3 publications · 257 citations

    3

    h-index

1–5