Genotyping Error Analysis

Genotyping Error Analysis is a systematic methodological framework used in high-throughput genotyping studies to identify, quantify, and characterize inaccuracies in genotype calling by distinguishing technical artifacts and biological confounders from true genetic variation.

289

Publications

29.2K

Citations

1.2K

Authors

506

Institutions

Publications per year

2017–2026

52

Variants

Genotyping Error Assessment

Authors

1.2K

  1. DG
    Derek Gordon

    Rockefeller University, United States

    15 publications · 979 citations

    13

    h-index

  2. SJ
    Stephen J. Finch

    Stony Brook University, United States

    11 publications · 658 citations

    10

    h-index

  3. PT
    Pierre Taberlet

    Centre National de la Recherche Scientifique, France

    9 publications · 4.4K citations

    9

    h-index

  4. LP
    Lisette P. Waits

    University of Idaho, United States

    7 publications · 467 citations

    7

    h-index

  5. JO
    Jürg Ott

    Rockefeller University, United States

    7 publications · 736 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. Molecular Ecology Resources

    20 publications · 2K citations

    17

    h-index

  2. Human Heredity

    18 publications · 877 citations

    14

    h-index

  3. Genetic Epidemiology

    15 publications · 984 citations

    14

    h-index

  4. Molecular Ecology

    13 publications · 9.6K citations

    13

    h-index

  5. Molecular Ecology Notes

    12 publications · 2K citations

    12

    h-index

1–5