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Related Experiment Videos

Implied alignment: a synapomorphy-based multiple-sequence alignment method and its use in cladogram search.

Ward C Wheeler1

  • 1Division of Invertebrate Zoology, American Museum of Natural History, New York, NY 10024-5192, USA. wheeler@amnh.org

Cladistics : the International Journal of the Willi Hennig Society
|August 7, 2003
PubMed
Summary
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A novel implied alignment (IA) method aligns sequence data using direct optimization (DO) without multiple alignment. This approach generates dynamic homology statements for phylogenetic analysis.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Phylogenetics

Background:

  • Traditional sequence alignment methods often require multiple alignment steps, which can introduce biases.
  • Direct optimization (DO) offers a way to diagnose sequence data on cladograms without prior multiple alignment.
  • Existing methods may not fully capture dynamic homology statements crucial for phylogenetic inference.

Purpose of the Study:

  • To propose and describe an implied alignment (IA) method for sequence data.
  • To leverage direct optimization (DO) for generating topology-specific homology statements.
  • To explore the utility of IA in phylogenetic searches and cost calculations.

Main Methods:

  • Implied alignment (IA) traces dynamic homologies derived from direct optimization (DO) through a single cladogram.
Keywords:
NASA Discipline Evolutionary BiologyNon-NASA Center

Related Experiment Videos

  • DO diagnoses sequence data on cladograms, creating dynamic homology statements without a multiple-alignment step.
  • The method links unaligned sequence positions via DO transformation series, forming 'lines of correspondence'.
  • Main Results:

    • Implied alignment (IA) produces results comparable to standard multiple alignment when displayed linearly.
    • The method's reliance on synapomorphy may lead to different handling of insertion-deletion (indel) events.
    • Results are sensitive to parameter assumptions, including indel cost and transversion:transition ratios.

    Conclusions:

    • Implied alignment (IA) provides a novel approach to sequence alignment based on direct optimization (DO).
    • IA's utility as a basis for phylogenetic search is discussed, acknowledging potential heuristic variances.
    • The method shows potential for improving heuristic cladogram cost calculations in phylogenetic analyses.