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Most phylogenetic methods assume that DNA sequences have evolved under stationary, reversible, and homogeneous conditions.
The co-evolution of doublets violates the assumption of independent evolution of sites made by most phylogenetic methods [ 7].
Most phylogenetic methods were not designed for and have not been evaluated on data sets that contain such an extent of missing data over random positions.
One main assumption of most phylogenetic methods is that there is only one phylogeny underlying the evolution of the taxa under study.
Incorporation of this information is essential in order to apply specific rRNA evolutionary models to overcome the problem of co-evolution of paired sites, which violates the basic assumption of the independent evolution of sites made by most phylogenetic methods.
RNA and protein phylogenies are based on the alignments of sequences from different organisms, and most phylogenetic methods are based on comparison of protein or nucleic acid sequences in their aligned parts.
Similar(53)
Most phylogenetic comparative methods do not account for such uncertainties.
These estimated branch lengths are critically important for most phylogenetic comparative methods.
Likewise, most phylogenetic reconstructions methods to-date assume a time-reversible model, while compositional bias in fact changes during evolution.
Most phylogenetic reconstruction methods assume simple evolutionary models that may not really fit real data, which leads to incorrect phylogenetic inference ([ 1- 5]).
Most current phylogenetic methods implicitly assume that the sequences can be classified according to a binary tree and try to reconstruct this tree.
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