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Exact(5)
Both methods produced trees with similar topology.
NJ and ML methods produced trees with similar topology.
First, SuperFine+TNT gave the best results for Sum-FN, but other than on the seabirds and THPL datasets, all methods produced trees with similar Sum-FN scores.
Initial analysis of all known forkhead genes simultaneously using global or local alignment methods, and parsimony, likelihood or Bayesian phylogenetic methods, produced trees with inconsistent subfamily placement due to low sequence homology outside of the forkhead domain among different subfamilies.
Although the position of Maeu-UP is not well supported using neighbour joining or Bayesian analysis (Additional file 3: Phylogenetic tree showing divergence times for tammar wallaby class I genes and Additional file 4: Phylogenetic tree produced for BEAST analysis) both methods produced trees with the same topology.
Similar(55)
Thus, both variants of RAxML methods produce trees with the same topology, differing only in the numeric parameters.
The results for the simulated datasets show clearly that all the methods produce trees with about the same accuracy on datasets with very dense scaffolds, but differ substantially in terms of accuracy on the datasets with sparser scaffolds.
This additional method produced trees with essentially the same topology (data not shown).
Finally, the SuperFine method produces trees on the full dataset that retain much of the accuracy of the smaller trees (Swenson et al., 2011).
This method produces trees that are the most consistent with the conservation of synteny between species and gives fewer anomalous topologies than single protein-based phylogenetic methods [ 28].
We used the 729 haplogroup E DNA variants to reconstruct an MP patrilineal tree using two independent methods that produced trees with identical topology, and indicated no recurrent or double-hit mutations within the phylogeny.
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