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PubMed · 9520503

SplitsTree: analyzing and visualizing evolutionary data.

D H Huson
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Abstract

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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Biological EvolutionDNA, RibosomalData Interpretation, StatisticalPhylogenySoftwareJournal ArticleResearch Support, Non-U.S. Gov't

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D H Huson. 1998. SplitsTree: analyzing and visualizing evolutionary data.. https://doi.org/10.1093/bioinformatics%2F14.1.68

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