Computational Variant Prioritization

Computational Variant Prioritization is a bioinformatics approach that systematically ranks somatic variants based on their predicted biological relevance and potential functional impact within genomic data, distinguishing it from general variant detection by emphasizing algorithmic assessment of variant significance.

48

Publications

5.5K

Citations

400

Authors

168

Institutions

Publications per year

2017–2026

28

Authors

400

  1. MG
    Mark Gerstein

    Yale University, United States

    3 publications · 418 citations

    3

    h-index

  2. SL
    Shaoke Lou

    Yale University, United States

    3 publications · 418 citations

    3

    h-index

  3. HH
    Hao Hu

    Max Planck Institute for Molecular Genetics, Germany

    2 publications · 200 citations

    2

    h-index

  4. HK
    Hae Kyung Im

    University of Chicago, United States

    2 publications · 164 citations

    2

    h-index

  5. FL
    Francesca Luca

    Wayne State University, United States

    2 publications · 164 citations

    2

    h-index

1–5 of 400

Venues

  1. Bioinformatics

    4 publications · 2K citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 118 citations

    4

    h-index

  3. BMC Bioinformatics

    4 publications · 187 citations

    4

    h-index

  4. Human Mutation

    3 publications · 51 citations

    3

    h-index

  5. Scientific Reports

    2 publications · 136 citations

    2

    h-index

1–5