Variant Quality Scoring

Variant Quality Scoring is a computational metric that quantifies the confidence level of a detected genetic variant by estimating the probability of the variant call being correct versus resulting from sequencing or alignment artifacts.

15

Publications

1.2K

Citations

89

Authors

41

Institutions

Publications per year

2017–2026

4

Authors

89

  1. TW
    Tsachy Weissman

    Stanford University, United States

    3 publications · 91 citations

    3

    h-index

  2. IO
    Idoia Ochoa

    Stanford University, United States

    3 publications · 91 citations

    3

    h-index

  3. MH
    Mikel Hernáez

    Universidad de Navarra, Spain

    3 publications · 91 citations

    3

    h-index

  4. RL
    Rachel L. Goldfeder

    Stanford University, United States

    2 publications · 77 citations

    2

    h-index

  5. EA
    Euan A. Ashley

    Stanford University, United States

    2 publications · 77 citations

    2

    h-index

1–5 of 89

Venues

  1. BMC Genomics

    1 publications · 60 citations

    1

    h-index

  2. Journal of Molecular Diagnostics

    JMD · 1 publications · 21 citations

    1

    h-index

  3. Molecular Biology and Evolution

    MBE · 1 publications · 94 citations

    1

    h-index

  4. Clinical Chemistry

    1 publications · 39 citations

    1

    h-index

  5. Briefings in Bioinformatics

    1 publications · 67 citations

    1

    h-index

1–5