Research article
A simple method for estimating genetic diversity in large populations from finite sample sizes
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* Corresponding author: Om P Rajora om.rajora@unb.ca
Canada Research Chair in Forest and Conservation Genomics and Biotechnology, Canadian Genomics and Conservation Genetics Institute, University of New Brunswick, Faculty of Forestry and Environmental Management, 28 Dineen Drive, Fredericton, NB, E3B 6C2, Canada
BMC Genetics 2009, 10:84 doi:10.1186/1471-2156-10-84
Published: 16 December 2009Additional files
Additional file 1:
An example of SAS NLIN input and output for estimating the regression coefficients of Equation (5).
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Additional file 2:
Allelic richness estimated by repeated random resampling in simulated population genetic data with various combinations of migration and selfing rates.
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Additional file 3:
Allelic richness predictions for individual populations of all four species based on our regression model (5), Ewens formula and coalescent approach. The population names are provided in Table 1. Regression - allelic richness predicted by equation (5). Ewens - allelic richness predicted by equation (3), θ calculated from the empirical source data set. Coalescent - allelic richness predicted by equation (3), θ estimated by coalescent from the empirical source data.
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