Joint Genotyping

Joint Genotyping is a computational method in genomic variant calling that simultaneously analyzes multiple samples to infer genotypes, distinguishing itself by leveraging shared allelic information across individuals to improve variant detection accuracy and consistency.

21

Publications

1.2K

Citations

211

Authors

111

Institutions

Publications per year

2017–2026

9

Authors

211

  1. NB
    Nathalie Bissonnette

    Agriculture and Agri-Food Canada, Canada

    2 publications · 209 citations

    2

    h-index

  2. JB
    Jean‐Simon Brouard

    Université Laval, Canada

    2 publications · 209 citations

    2

    h-index

  3. IS
    Ingrid Strusberg

    Centro Científico Tecnológico - Córdoba, Argentina

    1 publications · 108 citations

    1

    h-index

  4. SL
    Shengnan Liu

    Tianjin University, China

    1 publications · 30 citations

    1

    h-index

  5. GS
    Geir Selbæk

    University of Oslo, Norway

    1 publications · 97 citations

    1

    h-index

1–5 of 211

Venues

  1. Bioinformatics

    2 publications · 48 citations

    2

    h-index

  2. Genome biology

    1 publications · 38 citations

    1

    h-index

  3. Molecular Ecology Resources

    1 publications · 48 citations

    1

    h-index

  4. Methods in molecular biology

    Book series · 1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5