Mary K. Burnham-Curtis

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Classification methods used in machine learning (e.g., artificial neural networks, decision trees, and k-nearest neighbor clustering) are rarely used with population genetic data. We compare different nonparametric machine learning techniques with parametric likelihood estimations commonly employed in population genetics for purposes of assigning(More)
We document isolation and characterization of 13 tri- and tetranucleotide microsatellite DNA markers in brook trout (Salvelinus fontinalis). These markers displayed moderate to high levels of allelic diversity (averaging 20.5 alleles/locus) and heterozygosity (averaging 53.5%) in a range-wide survey of more than 13,000 fish. A comparison of two(More)
Methods for assigning individuals to population of origin are widely used in ecological genetics, resources management, and forensics. Characteristics of genetic data obtained from putative source populations that enhance accuracy of assignment are well established. How non-independence within and among unknown individuals to be classified [i.e., gene(More)
Humans have played a significant role in reducing levels of genetic diversity and differentiation of many teleost fishes, leading to homogenization across biological entities. We compare patterns of historical and contemporary genetic structure for three sympatric Great Lake’s lake trout (Salvelinus namaycush) morphs (lean, siscowet, and humper) that differ(More)
Paroaria dominicana, Saltator similis, Sporophila frontalis and Cyanoloxia brissonii are bird species severely exploited by the illegal wildlife trade in Brazil. As part of an effort to characterize the genetic populations within each species to infer the most likely population of origin of seized animals, four microsatellite enriched genomic libraries were(More)
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