Haplotype-based Inference

Haplotype-Based Inference is a population genetics inference method that leverages the co-inheritance patterns of alleles at multiple linked loci within haplotypes to more accurately reconstruct ancestral relationships, detect natural selection, and estimate demographic parameters compared to single-locus approaches.

192

Publications

18.6K

Citations

1K

Authors

509

Institutions

Publications per year

2017–2026

42

Authors

1K

  1. DG
    Dan Gusfield

    University of California, Davis, United States

    6 publications · 608 citations

    6

    h-index

  2. GB
    George Busby

    University of Oxford, United Kingdom

    5 publications · 563 citations

    5

    h-index

  3. JL
    Jing Li

    Case Western Reserve University, United States

    5 publications · 187 citations

    5

    h-index

  4. GH
    Garrett Hellenthal

    University College London, United Kingdom

    5 publications · 501 citations

    5

    h-index

  5. AG
    Andrew G. Clark

    Cornell University, United States

    4 publications · 617 citations

    4

    h-index

1–5 of 1K

Venues

  1. The American Journal of Human Genetics

    AJHG · 15 publications · 8.5K citations

    15

    h-index

  2. Bioinformatics

    11 publications · 373 citations

    11

    h-index

  3. Genetics

    11 publications · 1.3K citations

    11

    h-index

  4. Genetic Epidemiology

    9 publications · 399 citations

    9

    h-index

  5. Journal of Computational Biology

    8 publications · 573 citations

    8

    h-index

1–5