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Bioinformatics. 1998;14(1):68-73.

SplitsTree: analyzing and visualizing evolutionary data.

Author information

1
FSPM, University of Bielefeld, Germany.

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.

PMID:
9520503
DOI:
10.1093/bioinformatics/14.1.68
[Indexed for MEDLINE]

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