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We present average missing branch rates (reported as %) on the 500-taxon datasets.
Therefore, we computed missing branch rates to establish error rates, but we report RF rates.
We show the average missing branch rates (reported as %) on the 1000-taxon datasets.
We compute the Spearman's rank correlation between the MRL, MRP, and Sum-FN scores and the missing branch rates.
Furthermore, DACTAL achieved a missing branch rate of ~11 on the 16S.B.ALL dataset, which was better than the missing branch rates of the other methods (Fig. 3).
By contrast, the SuperFine trees were not always fully resolved, and hence had lower false positive rates than their missing branch rates.
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The lowest missing branch rate for each scaffold density is shown in bold.
We begin with a discussion of the missing branch rate for the estimated supertrees.
Error rates were computed by finding the missing branch rate using custom scripts available in our supporting online materials.
Hence, we report the Robinson-Foulds (RF) [ 39] error rate, which is equal to the missing branch rate for bifurcating trees.
Missing branch rate is calculated as total number of FN edges in the model tree divided by the total number of internal edges in the model tree.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com