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For ML analysis, supports for nodes among branches were evaluated using nonparametric bootstrapping [ 17] with 1000 bootstrap replications.
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Length of branches was evaluated using the Metamorph program.
Support for nodes among branches was evaluated using nonparametric bootstrapping [ 17] with 1000 bootstrap replications.
The reliability of internal branches was evaluated using 1000 bootstrap replications [ 45].
The significance of internal branches was evaluated using 1000 bootstrap replicates.
The reliability of the internal branches was evaluated using 1,000 bootstrap replications [ 23].
The statistical reliance of NJ tree branches was evaluated using 1000 bootstrap samples.
Support for internal branches was evaluated using bootstrap percentages (BP) from 1000 non-parametric replicates for ML and using posterior probabilities (BPP) for BI.
The difference in goodness-of-fit between the two-ratio and one-ratio model (i.e. where this is a single ω for all branches) was evaluated using the likelihood ratio test with one degree of freedom.
Branch supports were evaluated using the approximate likelihood-ratio test (aLRT) [ 104].
Tree nodes were evaluated using the bootstrap method for 1,000 replicates [ 37], and branches corresponding to partitions reproduced in less than 50% of the bootstrap replicates were condensed into single branches.
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