Low-coverage Sequencing Imputation

Low-Coverage Sequencing Imputation is a genotype imputation method that infers unobserved genotypes in low-coverage sequencing data by leveraging haplotype reference panels and probabilistic modeling to distinguish it from imputation approaches designed for high-coverage or genotyping array data.

34

Publications

2.7K

Citations

240

Authors

117

Institutions

Publications per year

2017–2026

23

Authors

240

  1. SR
    Simone Rubinacci

    University of Lausanne, Switzerland

    5 publications · 723 citations

    5

    h-index

  2. OD
    Olivier Delaneau

    SIB Swiss Institute of Bioinformatics, Switzerland

    5 publications · 723 citations

    5

    h-index

  3. RJ
    Robin J. Hofmeister

    University of Lausanne, Switzerland

    4 publications · 702 citations

    4

    h-index

  4. JK
    Joseph K. Pickrell

    New York Genome Center, United States

    3 publications · 188 citations

    3

    h-index

  5. CN
    Chao Ning

    China Agricultural University, China

    3 publications · 71 citations

    3

    h-index

1–5 of 240

Venues

  1. Nature Genetics

    4 publications · 1K citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 52 citations

    3

    h-index

  3. Genetics Selection Evolution

    GSE · 3 publications · 127 citations

    3

    h-index

  4. Genetics

    3 publications · 144 citations

    3

    h-index

  5. BMC Genetics

    2 publications · 156 citations

    2

    h-index

1–5