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Neighbour-Joining and Maximum Likelihood methods resulted in identical tree topologies (Fig. 1).
Maximum likelihood methods are explored to obtain reliable estimates.
Maximum likelihood methods seek to identify the most likely tree, given the available data.
Based on these alignments phylogenetic trees were inferred using Bayesian Inference and Maximum Likelihood methods.
As it is well known, this type of model is estimated using maximum likelihood methods.
The other GPD parameters are estimated by conventional maximum likelihood methods for the given threshold μ.
Comparison is made between our algorithm and conventional maximum likelihood methods, presented by the MMSE.
The findings resulted from phylogenetic analyses (employing Bayesian inference and the maximum likelihood methods).
These sequences were compared to other gamma retrovirus sequences using maximum likelihood methods (Fig. 4).
These Bayesian trees were used to implement the maximum likelihood methods of the PAML v.4.
Trees were inferred with neighbour-joining and maximum likelihood methods (see methods section).
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