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AN EMPIRICAL COMPARISON OF NUMERICAL WAGNER COMPUTER PROGRAMS.

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The PHYSYS program with the WAG.S option best calculates Wagner trees, finding the shortest tree for most datasets. Multiple trees and branch swapping are essential for accurate tree construction.

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Area of Science:

  • Computational Biology
  • Phylogenetics
  • Bioinformatics

Background:

  • Wagner tree construction is crucial for phylogenetic analysis.
  • Evaluating different computational programs and algorithms is necessary to determine optimal methods for phylogenetic tree inference.

Purpose of the Study:

  • To compare the performance of four computer programs (WAGNER 78, WAGPROC, PHYLIP, and PHYSYS) for calculating Wagner trees.
  • To assess the impact of various algorithms and options on the accuracy and efficiency of tree construction.

Main Methods:

  • Twenty-five datasets were analyzed using eight combinations of algorithms and options.
  • Key options included methods for adding taxa, optimizing stem states, obtaining multiple trees, and branch swapping.
  • Performance was evaluated based on the criterion of finding a minimum length tree.

Main Results:

  • PHYSYS with the WAG.S option yielded the shortest tree for 24 out of 25 datasets.
  • WAGPROC with the GLOB option found multiple minima but exceeded runtime for some datasets.
  • The advancement index criterion for adding taxa was more effective than sequential addition.
  • Minimum homoplasy is not a fully reliable criterion for tree optimization.

Conclusions:

  • PHYSYS (WAG.S) is the most effective program for calculating minimum length Wagner trees.
  • Both multiple tree generation and branch swapping algorithms are necessary for optimal tree inference.
  • The advancement index offers a superior method for taxon addition in phylogenetic analyses.