Variant Effect Prediction

Variant Effect Prediction is a computational method that belongs to the class of genomic analysis techniques and specifically identifies the functional consequences of genetic variants by predicting their impact on protein structure, function, or regulation based on sequence and evolutionary features.

204

Publications

69.2K

Citations

1.5K

Authors

512

Institutions

Publications per year

2017–2026

135

Authors

1.5K

  1. SH
    Sarah Hunt

    Wellcome Sanger Institute, United Kingdom

    12 publications · 16.9K citations

    11

    h-index

  2. PF
    Paul Flicek

    European Bioinformatics Institute, United Kingdom

    10 publications · 17.2K citations

    10

    h-index

  3. FC
    Fiona Cunningham

    European Bioinformatics Institute, United Kingdom

    10 publications · 17.9K citations

    10

    h-index

  4. YB
    Yana Bromberg

    Rutgers, The State University of New Jersey, United States

    9 publications · 2K citations

    9

    h-index

  5. SJ
    Stephen J. Trevanion

    European Bioinformatics Institute, United Kingdom

    8 publications · 7.6K citations

    8

    h-index

1–5 of 1.5K

Venues

  1. Nucleic Acids Research

    25 publications · 10.9K citations

    21

    h-index

  2. Human Mutation

    20 publications · 1.3K citations

    17

    h-index

  3. Bioinformatics

    17 publications · 8.3K citations

    16

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 21 publications · 1.6K citations

    15

    h-index

  5. Nature Communications

    7 publications · 544 citations

    7

    h-index

1–5