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Bulletin of Mathematical Biology

, Volume 58, Issue 3, pp 449–469 | Cite as

A distance measure based on binary character data and its application to phylogeny reconstruction

  • W. Schmidt
  • E. -Ch. Müller
Article

Abstract

An essentially new method to relate a number of taxa on the basis of a predefined set of dichotomous properties (i.e. either present or not present) is described. The basic step of the analysis is the derivation of a sophisticated distance measure to describe the pairwise dissimilarities quantitatively on the basis of the individual properties. The presentation of the dissimilarity matrix by a tree-like structure is an obvious step implicated by the the distance measure and is related to the widely used method of successive joining of nearest neighbors with respect to the distances. The distance measure makes no use of stochastic or other mathematical models of evolutionary processes and can be interpreted best in terms of discrete information theory.

Keywords

Distance Measure Evolutionary Tree Amino Acid Property Property Pattern Arbitrary Partition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Society for Mathematical Biology 1996

Authors and Affiliations

  • W. Schmidt
    • 1
  • E. -Ch. Müller
    • 1
  1. 1.Max-Delbrück-Center for Molecular MedicineBerlinGermany

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