Bayesian Long Branch Attraction Bias Simulation Results

Simulation data from 2020 supports analysis of long branch attraction bias in Bayesian phylogenetic methods. The dataset, authored by Edward Susko, includes results validating the bias across more taxa and partially resolved trees, with proposed correction methods.

Use Cases

• Validate the long branch attraction bias across different numbers of taxa and tree resolutions.
• Test the effectiveness of provided bias corrections on posterior probability distributions.
• Cross-check Bayesian phylogenetic inference results using corrected posterior support values for sets of trees.

Strengths

• Data originates from peer-reviewed research on a specific statistical bias in phylogenetics.
• Includes proposed correction methods that are validated as highly effective in simulations.
• Released under a permissive CC0 1.0 public domain license.

Limitations

• The specific data format, row count, and column structure are unknown.
• Data is from 2020 and may not reflect the latest methodological developments.
• Scope is narrowly focused on long branch attraction and related biases.

Provenance

Source

Edward Susko

Collection Method

Simulation data generated for research on Bayesian phylogenetic methods.

Freshness

Last updated on 2020-06-24.