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, 14 (1), 68-73

SplitsTree: Analyzing and Visualizing Evolutionary Data

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SplitsTree: Analyzing and Visualizing Evolutionary Data

D H Huson. Bioinformatics.

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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