kernelpop, a spatially explicit population genetic simulation engine

作者: ALLAN E. STRAND , JAMES M. NIEHAUS

DOI: 10.1111/J.1471-8286.2007.01832.X

关键词: MetapopulationType I and type II errorsContext (language use)PopulationEcologyBiologyBiological dispersalEstimatorSoftwareMathematical optimizationVariety (cybernetics)

摘要: Individual-based, spatially explicit models provide a mechanism to understand distributions of individuals on the landscape; however, few have been coupled with population genetics. The primary benefits such combination is assess performance population-genetic estimators in realistic situations. kernelpop represents flexible framework implement almost any arbitrary and demographic model context using variety dispersal kernels. Estimates type I error associated genome scans metapopulations are provided as an illustration this software's utility.

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