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Bootstrap confidence levels for phylogenetic trees

B Efron1, E Halloran, S Holmes

  • 1Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.

Proceedings of the National Academy of Sciences of the United States of America
|November 12, 1996
PubMed
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The bootstrap method for evolutionary tree confidence is not biased but can be improved. A corrected bootstrap approach aligns better with confidence levels and hypothesis testing standards.

Area of Science:

  • Phylogenetics
  • Computational Biology
  • Evolutionary Genetics

Context:

  • Estimating evolutionary trees from DNA/RNA sequence data is crucial.
  • Assessing confidence in these phylogenetic trees is a significant challenge.
  • Felsenstein's bootstrap method (1985) is a widely used approach for confidence assessment.

Purpose:

  • To evaluate the bias of Felsenstein's bootstrap method in phylogenetics.
  • To propose corrections to the bootstrap method for improved confidence estimation.
  • To align bootstrap results with standard statistical confidence levels and hypothesis testing.

Summary:

  • This study demonstrates that Felsenstein's bootstrap method for phylogenetic tree confidence is not inherently biased.
  • A refined bootstrap approach is presented, offering better agreement with statistical confidence intervals and hypothesis testing.

Related Experiment Videos

  • The enhanced method requires more computational resources but provides more accurate confidence assessments.

    • Impact:

    • Provides a statistically robust method for evaluating confidence in evolutionary trees.
    • Addresses criticisms of existing bootstrap methods in phylogenetic analysis.
    • Improves the reliability of phylogenetic inference for evolutionary studies.