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SplitsTree: analyzing and visualizing evolutionary data 总被引:15,自引:0,他引:15
MOTIVATION: Real evolutionary data often contain a number of different and
sometimes conflicting phylogenetic signals, and thus do not always clearly
support a unique tree. To address this problem, Bandelt and Dress (Adv.
Math., 92, 47-05, 1992) developed the method of split decomposition. For
ideal data, this method gives rise to a tree, whereas less ideal data are
represented by a tree-like network that may indicate evidence for different
and conflicting phylogenies. RESULTS: SplitsTree is an interactive program,
for analyzing and visualizing evolutionary data, that implements this
approach. It also supports a number of distances transformations, the
computation of parsimony splits, spectral analysis and bootstrapping.
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