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Such methods heavily depend on the sequence conservation and quality of the underlying alignment.
We show that this instability is due to instabilities of the underlying alignment procedures that are, in turn, caused by sequence repeats.
We also note that the performance of RAF on particular RNA families is often closely related to the accuracy of the underlying alignment and single-sequence models used to derive folding and alignment constraints.
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Fourth, SiPhy, like other existing methods, heavily depends on the underlying alignment.
This showed clearly that the instabilities and inconsistencies of the safe branches can be traced back to the underlying alignments.
In all these applications, the reliability and accuracy of the analyses depend critically on the quality of the underlying alignments.
In view of their rather restrictive definition, it was natural to guess that that instabilities of safe branches indicate instabilities of the underlying alignments.
In this study, only the safe branches of a tree topology will be considered when comparing trees resulting from distinct alignments, and we will confirm that, as expected, instabilities concerning these branches indicate instabilities of the underlying alignments.
The underlying alignment method computes alignments with a worst-case bound on their quality.
To investigate the reasons for the occurrence of these rather distinct tree topologies, we analysed the underlying alignments.
In the case of alignment-ambiguous data, the effects of different underlying alignment algorithms on phylogenetic reconstruction are usually greater than the effect of the different inference methods.
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