Functional Interpretation Of Variants

Functional Interpretation of Variants is a bioinformatics analysis approach that identifies and characterizes the biological and phenotypic consequences of genetic alterations in cancer genomes by distinguishing functionally impactful mutations from neutral variants through computational prediction, experimental evidence, or integrated omics data.

197

Publications

29.5K

Citations

3.4K

Authors

917

Institutions

Publications per year

2017–2026

133

Authors

3.4K

  1. DC
    D.N. Cooper

    Cardiff University, United Kingdom

    7 publications · 13K citations

    7

    h-index

  2. MJ
    Mark J. Daly

    Broad Institute, United States

    7 publications · 11.1K citations

    7

    h-index

  3. FJ
    Fergus J. Couch

    Mayo Clinic, United States

    6 publications · 420 citations

    6

    h-index

  4. ÁN
    Álvaro N.A. Monteiro

    Moffitt Cancer Center, United States

    6 publications · 803 citations

    6

    h-index

  5. RD
    Ron Do

    Icahn School of Medicine at Mount Sinai, United States

    5 publications · 10.9K citations

    5

    h-index

1–5 of 3.4K

Venues

  1. Nucleic Acids Research

    16 publications · 1.9K citations

    15

    h-index

  2. Human Mutation

    12 publications · 1.8K citations

    11

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 633 citations

    9

    h-index

  4. Nature Communications

    9 publications · 1.6K citations

    9

    h-index

  5. Bioinformatics

    8 publications · 573 citations

    8

    h-index

1–5