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How many bootstrap replicates are needed in practice to compute stable 95% confidence intervals for the RV statistic?
When this option is used, RAxML will automatically determine how many bootstrap replicates are required to obtain stable support values.
As a result, maximum-likelihood inference can be prohibitively slow for problems that involve large numbers of aligned sequences, comprehensive search of tree space, and/or many bootstrap replicates.
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Ten thousand bootstrap replicates were performed.
Stability and robustness were validated with 1000 bootstrap replicates.
Node numbers are support based on 500 bootstrap replicates.
All analyses were followed by a 1,000 bootstrap replicates.
Bootstrap values (>50%) are shown on the nodes from 1000 bootstrap replicates.
The model was retested for internal validation using bootstrap, with 1000 bootstrap replicates.
Bootstrap values at the nodes are the percentages of 500 bootstrap replicates.
Bootstrapping [58] was performed with 20 bootstrap replicates, 100 random addition cycles per bootstrap replicate, TBR swapping and equal weights.
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