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SNP genotyping data were used for genetic structure analysis, using the Bayesian clustering model implemented in the STRUCTURE software.
ΔK values of all rice wild relatives for different values of K tested, following Evanno et al. (2005), implemented in the STRUCTURE HARVESTER software (Dent and VonHoldt 2011).
The most widely used clustering method, as implemented in the STRUCTURE program, provides the probability of group membership of samples [5].
In order to determine if genetic subpopulations are present in the New Hampshire population we used Bayesian clustering as implemented in the structure program to cluster individuals using the remaining 960 SNPs.
A model-based clustering algorithm implemented in the STRUCTURE software program was applied to the SNP data.
Therefore, the academic discipline of general practice/family medicine seems to be sustainably implemented in the structure of the German health care system.
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Possible population structure was estimated using a model-based Bayesan procedure implemented in the software Structure v2.3 [ 31] and Structure Harvester [ 57].
To examine population structure, we applied the Bayesian approach implemented in the software Structure 2.3.3 [ 60] to identify clusters of randomly mating individuals with minimum HW deviations and linkage disequilibrium.
A tapered via structure was implemented in the test structures to replicate a scenario close to real structures.
A Bayesian clustering analysis implemented in the program STRUCTURE [ 60] was also used to infer population structure in the locust.
In the statistical analysis of these data, we complement traditional population genetic methods with the assignment test implemented in the software STRUCTURE [ 17] in order to obtain information on population structure and gene flow.
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