Data from: AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test

The core of molecular phylogeny is the inference of a tree diagram
representing the evolutionary relatedness among nucleotide or amino acid
sequences. In addition, evaluating the credibility of “bipartitions,” each
of which splits the inferred tree into two subtrees, is an indispensable
part of modern phylogenetic studies. The most popular method for examining
the credibility of bipartitions in a phylogenetic tree is the bootstrap.
In the maximum likelihood framework, two alternative methods for the
bootstrap, UFBoot2 and SH-aLRT, are available. In this study, we propose a
new software “AUTOEB,” which evaluates bipartitions in a given
phylogenetic tree employing an approximately unbiased (AU) test. For each
bipartition, the software generates two alternative trees from a given
tree by disrupting the bipartition of interest with the minimum changes in
tree topology and compares them by the AU test. In the case of either or
both alternative trees failing to be rejected, the software calls the
particular bipartition “unresolved” and otherwise “resolved.” We
phylogenetically analyzed four empirical sequence data and demonstrated
that AUTOEB can provide an alternative criterion toward bipartitions that
received high support values from the pre-existed methods, and help to
evade potential false interpretations based on phylogenetic trees.