Balancing Selection Detection

Balancing Selection Detection is a computational or statistical method designed to identify genomic regions under balancing selection by distinguishing them from neutral evolutionary patterns or other forms of selection through specific genetic signatures such as elevated polymorphism, intermediate allele frequencies, or trans-species polymorphisms.

39

Publications

3.3K

Citations

166

Authors

92

Institutions

Publications per year

2017–2026

13

Authors

166

  1. DG
    Daniel Garrigan

    University of Rochester, United States

    3 publications · 654 citations

    3

    h-index

  2. KM
    Katherine M. Siewert

    Harvard University, United States

    3 publications · 314 citations

    3

    h-index

  3. PW
    Philip W. Hedrick

    Arizona State University, United States

    3 publications · 654 citations

    3

    h-index

  4. BF
    Benjamin F. Voight

    University of Pennsylvania, United States

    3 publications · 314 citations

    3

    h-index

  5. DM
    Diogo Meyer

    Universidade de São Paulo, Brazil

    2 publications · 169 citations

    2

    h-index

1–5 of 166

Venues

  1. Genetics

    5 publications · 478 citations

    5

    h-index

  2. Molecular Biology and Evolution

    MBE · 5 publications · 335 citations

    5

    h-index

  3. Genome Biology and Evolution

    GBE · 3 publications · 280 citations

    3

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 242 citations

    2

    h-index

  5. The American Journal of Human Genetics

    AJHG · 2 publications · 216 citations

    2

    h-index

1–5