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Molecular Ecology (2004) 13, 837851 doi: 10.1111/j.1365-294X.2004.02132.x 2004 Blackwell Publishing Ltd
 

Summary: Molecular Ecology (2004) 13, 837851 doi: 10.1111/j.1365-294X.2004.02132.x
2004 Blackwell Publishing Ltd
Blackwell Publishing, Ltd.
Evaluating the performance of likelihood methods for
detecting population structure and migration
ZAID ABDO,* KEITH A. CRANDALL and PAUL JOYCE*
*Department of Mathematics, PO Box 441103, University of Idaho, Moscow, ID 838441104 USA, Initiative in Bioinformatics and
Evolutionary Studies (IBEST), University of Idaho, USA, Department of Integrative Biology, Brigham Young University, Provo, UT
84602, USA
Abstract
A plethora of statistical models have recently been developed to estimate components of
population genetic history. Very few of these methods, however, have been adequately
evaluated for their performance in accurately estimating population genetic parameters of
interest. In this paper, we continue a research program of evaluation of population genetic
methods through computer simulation. Specifically, we examine the software MIGRATEE-N
1.6.8 and test the accuracy of this software to estimate genetic diversity (), migration rates,
and confidence intervals. We simulated nucleotide sequence data under a neutral coale-
scent model with lengths of 500 bp and 1000 bp, and with three different per site values
of (0.00025, 0.0025, 0.025) crossed with four different migration rates (0.0000025, 0.025, 0.25,
2.5) to construct 1000 evolutionary trees per-combination per-sequence-length. We found

  

Source: Abdo, Zaid - Departments of Mathematics & Statistics, University of Idaho
Crandall, Keith A. - Departments of Integrative Biology & Microbiology and Molecular Biology, Brigham Young University
Joyce, Paul - Department of Mathematics, University of Idaho

 

Collections: Biology and Medicine; Environmental Sciences and Ecology; Mathematics