Sequential Markov Coalescent

The Sequential Markov Coalescent is a stochastic model of ancestral recombination that approximates the coalescent with recombination by sequentially propagating genealogies along a genome under a Markovian assumption, thereby enabling computationally efficient simulation of haplotype variation.

40

Publications

5.1K

Citations

155

Authors

105

Institutions

Publications per year

2017–2026

23

Variants

Smc

Authors

155

  1. RS
    Regev Schweiger

    Tel Aviv University, Israel

    3 publications · 95 citations

    3

    h-index

  2. SL
    Shenglin Liu

    Huazhong University of Science and Technology, China

    3 publications · 173 citations

    3

    h-index

  3. PA
    Phillip A. Morin

    NOAA National Marine Fisheries Service Southwest Fisheries Science Center, United States

    3 publications · 145 citations

    3

    h-index

  4. TS
    Thibaut Sellinger

    Technical University of Munich, Germany

    3 publications · 91 citations

    3

    h-index

  5. LE
    Laurent Excoffier

    University of Bern, Switzerland

    3 publications · 145 citations

    3

    h-index

1–5 of 155

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 108 citations

    5

    h-index

  2. Genetics

    5 publications · 245 citations

    5

    h-index

  3. Molecular Ecology

    4 publications · 149 citations

    4

    h-index

  4. Bulletin of Mathematical Biology

    4 publications · 494 citations

    4

    h-index

  5. Molecular Ecology Resources

    3 publications · 214 citations

    3

    h-index

1–5