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Estimates of long-distance dispersal were significantly higher with the second method (distance from an introduction point: mean = 338.62 km, SE = 23.85 km, median = 271.23 km, n = 150) in comparison with the first method (distance from the nearest neighbour: mean = 111.06 km, SE = 11.68 km, median = 53.83 km, n = 150) (paired t-test, log transformed, t = 18.73, d.f. = 149, P<0.001).
The NJ tree was constructed with the maximum composite likelihood method distance [ 37].
The phylogenetic tree was generated using the neighbor-joining method (distance calculation by the Kimura two-parameter correction, pairwise deletion), validated by 1000 bootstrap replicates.
In this method, distance calculation is based on the average distance between objects from the first cluster and objects from the second cluster.
For this reason, the combination of normalization method, distance metric, and classification method was selected to produce the highest cluster validity index score.
ClusterSim identifies the combination of normalization method, distance metric and classification method that produces the highest cluster validity index score considering 2 to 50 possible clusters (http://cran.r-project.org/web/packages/clusterSim/clusterSim.pdf).org/web/packages/clusterSim/clusterSim.pdf
Similar(50)
Hence the proposed method distances itself from the conventional DWT SVD PCA watermarking.
Nucleotide (Kimura 2-parameters) and protein (Dayhoff PAM method) distances among the different NS5B sequences and the consensus for each genotype are shown in Table 1.
The three methods, distance, parsimony and maximum-likelihood (ML), make different evolutionary assumptions, thus their congruence provides strong support for the deduced phylogeny.
Among the three major categories of phylogenetic inference methods, distance, maximum parsimony (MP), and maximum likelihood (ML), ML methods are especially useful for sequence sets with varying extents of sequence diversity [2], [3].
However, bootstrap support for this placement is low and conflicting results were obtained with alternative methods (distance and parsimony).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com