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      SplitsTree: analyzing and visualizing evolutionary data.

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      Bioinformatics (Oxford, England)
      Oxford University Press (OUP)

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          Abstract

          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.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4803
          1367-4803
          1998
          : 14
          : 1
          Affiliations
          [1 ] FSPM, University of Bielefeld, Germany.
          Article
          btb043
          10.1093/bioinformatics/14.1.68
          9520503
          228a51ba-1e18-40b7-bd05-5c30c46787bf
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