P Beerli

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. pmc Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach
    P Beerli
    Department of Genetics, University of Washington, Box 357360, Seattle, Washington 98195 7360, USA
    Genetics 152:763-73. 1999
  2. pmc Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach
    P Beerli
    Department of Genetics, University of Washington, Seattle, WA 98195 7360, USA
    Proc Natl Acad Sci U S A 98:4563-8. 2001
  3. pmc Usefulness of single nucleotide polymorphism data for estimating population parameters
    M K Kuhner
    Department of Genetics, University of Washington, Seattle, Washington 98195 7360, USA
    Genetics 156:439-47. 2000

Collaborators

Detail Information

Publications3

  1. pmc Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach
    P Beerli
    Department of Genetics, University of Washington, Box 357360, Seattle, Washington 98195 7360, USA
    Genetics 152:763-73. 1999
    ..The estimates are as good as or better than those from an optimized FST-based measure. The program is available on the World Wide Web at http://evolution.genetics. washington.edu/lamarc.html/...
  2. pmc Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach
    P Beerli
    Department of Genetics, University of Washington, Seattle, WA 98195 7360, USA
    Proc Natl Acad Sci U S A 98:4563-8. 2001
    ..The algorithm converges to the estimates fairly quickly, even when the Markov chain is started from unfavorable parameters. The method was used to estimate gene flow in the Nile valley by using mtDNA data from three human populations...
  3. pmc Usefulness of single nucleotide polymorphism data for estimating population parameters
    M K Kuhner
    Department of Genetics, University of Washington, Seattle, Washington 98195 7360, USA
    Genetics 156:439-47. 2000
    ..Researchers collecting SNPs should collect and preserve information about the method of ascertainment so that the data can be accurately analyzed...