Variant Functional Annotation

Variant Functional Annotation is a computational methodology that categorizes genetic variants by their biological effects, distinguishing itself through the integration of genomic, epigenomic, and transcriptomic evidence to infer the functional impact of allelic changes on gene function and regulation.

170

Publications

39.4K

Citations

2.2K

Authors

696

Institutions

Publications per year

2017–2026

97

Authors

2.2K

  1. GR
    Graham R. S. Ritchie

    Wellcome Sanger Institute, United Kingdom

    6 publications · 2.3K citations

    6

    h-index

  2. PF
    Paul Flicek

    European Bioinformatics Institute, United Kingdom

    5 publications · 3.9K citations

    5

    h-index

  3. ID
    Ian Dunham

    Wellcome Sanger Institute, United Kingdom

    5 publications · 2.1K citations

    5

    h-index

  4. KW
    Kai Wang

    Anhui Medical University, China

    5 publications · 16.2K citations

    5

    h-index

  5. DJ
    David J. Porteous

    University of Edinburgh, United Kingdom

    4 publications · 1.5K citations

    4

    h-index

1–5 of 2.2K

Venues

  1. Nucleic Acids Research

    17 publications · 17.4K citations

    16

    h-index

  2. Bioinformatics

    17 publications · 3.6K citations

    13

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 274 citations

    9

    h-index

  4. PLoS ONE

    8 publications · 271 citations

    8

    h-index

  5. Nature Communications

    8 publications · 5K citations

    8

    h-index

1–5