Genome Imputation

Genome Imputation is a computational method in computational genomics that infers unobserved or missing genomic variants in an individual’s genotype data by leveraging reference panels of sequenced genomes and population genetic patterns.

150

Publications

15.7K

Citations

1.8K

Authors

674

Institutions

Publications per year

2017–2026

95

Authors

1.8K

  1. OD
    Olivier Delaneau

    SIB Swiss Institute of Bioinformatics, Switzerland

    7 publications · 1.5K citations

    7

    h-index

  2. MS
    Mogens Sandø Lund

    Aarhus University, Denmark

    7 publications · 500 citations

    7

    h-index

  3. BJ
    Ben J. Hayes

    The University of Queensland, Australia

    6 publications · 605 citations

    6

    h-index

  4. SR
    Simone Rubinacci

    University of Lausanne, Switzerland

    5 publications · 806 citations

    5

    h-index

  5. SA
    Steven A. McCarroll

    Broad Institute, United States

    5 publications · 337 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. Journal of Dairy Science

    JDS · 12 publications · 706 citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 991 citations

    12

    h-index

  3. Genetics Selection Evolution

    GSE · 10 publications · 833 citations

    10

    h-index

  4. The American Journal of Human Genetics

    AJHG · 9 publications · 3K citations

    9

    h-index

  5. BMC Genomics

    7 publications · 421 citations

    7

    h-index

1–5