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A Numerical Approach to Phylogenetic Systematics

A Numerical Approach to Phylogenetic Systematics AbstractFarris, J. S. (Biol. Sd., State Univ., Stony Brook, New York, 11790), Kluge, A. G., and Eckardt, M. J. (Zool., Univ. Michigan, Ann Arbor 48104) 1970. A Numerical approach to phylogenetic systematics. Syst. Zool., 19:172–191.—Principles abstracted from Hennig (1966) are used as axioms to form a quantitative analog of phylogenetic systematics. A close connection is demonstrated between phylogenetics and most parsimonious trees. The compatibility of some existing clustering methods with the principles is discussed, and a new clustering technique, the Weighted Invariant Step Strategy (WISS) is described. Generalization of the axioms to the case where direction of evolution is not assumed is examined, and it is shown that the Wagner Method for estimating evolutionary trees is consistent with the generalized phylogenetic axioms. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Systematic Biology Oxford University Press

A Numerical Approach to Phylogenetic Systematics

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References (9)

Publisher
Oxford University Press
Copyright
© 1970 Society of Systematic Zoology
ISSN
1063-5157
eISSN
1076-836X
DOI
10.2307/2412452
Publisher site
See Article on Publisher Site

Abstract

AbstractFarris, J. S. (Biol. Sd., State Univ., Stony Brook, New York, 11790), Kluge, A. G., and Eckardt, M. J. (Zool., Univ. Michigan, Ann Arbor 48104) 1970. A Numerical approach to phylogenetic systematics. Syst. Zool., 19:172–191.—Principles abstracted from Hennig (1966) are used as axioms to form a quantitative analog of phylogenetic systematics. A close connection is demonstrated between phylogenetics and most parsimonious trees. The compatibility of some existing clustering methods with the principles is discussed, and a new clustering technique, the Weighted Invariant Step Strategy (WISS) is described. Generalization of the axioms to the case where direction of evolution is not assumed is examined, and it is shown that the Wagner Method for estimating evolutionary trees is consistent with the generalized phylogenetic axioms.

Journal

Systematic BiologyOxford University Press

Published: Jun 1, 1970

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