Variant Data Integration

Variant Data Integration is a computational methodology that integrates genetic variant records across heterogeneous genomic datasets by reconciling differences in annotation, nomenclature, and genomic context to enable coherent analysis of variant effects and associations.

95

Publications

29K

Citations

1.1K

Authors

303

Institutions

Publications per year

2017–2026

48

Authors

1.1K

  1. PF
    Paul Flicek

    European Bioinformatics Institute, United Kingdom

    5 publications · 9.7K citations

    5

    h-index

  2. WM
    William McLaren

    European Bioinformatics Institute, United Kingdom

    5 publications · 9.7K citations

    5

    h-index

  3. FC
    Fiona Cunningham

    European Bioinformatics Institute, United Kingdom

    5 publications · 9.7K citations

    5

    h-index

  4. SH
    Sarah Hunt

    Wellcome Sanger Institute, United Kingdom

    4 publications · 9.5K citations

    4

    h-index

  5. RM
    Robert M. Kuhn

    University of California, Santa Cruz, United States

    3 publications · 864 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Nucleic Acids Research

    18 publications · 13K citations

    17

    h-index

  2. Human Mutation

    15 publications · 894 citations

    14

    h-index

  3. Bioinformatics

    13 publications · 1.6K citations

    12

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 392 citations

    5

    h-index

  5. Genome biology

    4 publications · 9.4K citations

    4

    h-index

1–5