SplitsTree: analyzing and visualizing evolutionary data.

Clicks: 2
ID: 291821
1998
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Abstract
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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Authors Daniel H. Huson
Journal BMC Bioinformatics
Year 1998
DOI
10.1093/bioinformatics/14.1.68
URL
https://academic.oup.com/bioinformatics/article-pdf/14/1/68/48834718/bioinformatics_14_1_68.pdf
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