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To evaluate branch robustness of trees, parsimony-based bootstrap analyses were applied.
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Several sensitivity analyses were applied.
Rapid bootstrap analyses were run in RAxML-VI-HPC v2.0.1 [ 105, 106] via the CIPRES Science Gateway [ 107] applying partitioning for each gene region using a GTR + CAT approximation rate substitution model and the rapid Bootstrap algorithm with 100 replicates [ 106].
Bootstrap analyses were conducted using 1000 replications, SPR search method, search-level 5.
The ML bootstrap analyses were conducted with 500 replicates because of high computational demands.
ML bootstrap analyses were performed using 100 replicates.
The bootstrap analyses were performed in the R programming language.
All bootstrap analyses were conducted using the program Statistics101.
Nonparametric bootstrap analyses were performed with 100 replications.
Non-parametric ML bootstrap analyses were also conducted on the Grid, each consisting of 2000 bootstrap replicates with default settings.
Bootstrap analyses were performed with 500 replicates.
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