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Bootstrap values were used to scale the trees.
Bootstrap values were used to determine strongly supported splits (>75 %).
Compatibility of tree topologies and bootstrap values were used for initial visual assessments of congruence between datasets.
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As bootstrap value was used to verify the solidity of each node, bootstrap values of 95% or greater was considered statistically significant whether nodes can be rejected if they occur in less than 5% of the bootstrap estimates.
Typically bootstrapping values are used as a measure of confidence in each edge of a phylogeny.
The number of bootstraps was 100, otherwise default values were used.
To this end phylogenetic analysis based on maximum likelihood and bootstrap support values was used to define taxa.
Posterior probabilities (p P) and bootstrap support (bp) values are used to indicate clade support.
Gene-wise bootstrapped Pearson correlation r-values were used to ensure an accurate estimation of the "real" underlying distribution and to avoid spurious findings due to outlying data.
Bootstrap values were calculated using 100 bootstrap iterations, using 10 replicates of RA followed by TBR in each iteration [29].
ClustalW was used for multiple alignments and trees and bootstrap values were calculated using the Neighbor-Joining algorithm with default settings.
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