Deformity Index: A Semi-Reference Clade-Based Quality Metric of Phylogenetic Trees

Area of Science:

• Phylogenetics
• Computational Biology
• Bioinformatics

Background:

• Comparing phylogenetic trees is crucial for evolutionary studies.
• Existing methods struggle with unresolved relationships and data inaccuracies.
• Accurate tree comparison is essential for hypothesis testing and evolutionary inference.

Purpose of the Study:

• To introduce a novel scoring function, the deformity index, for quantifying phylogenetic tree dissimilarity.
• To address limitations of current tree comparison methods, particularly those arising from imprecise reference trees.
• To provide a robust and scalable measure for evaluating tree congruence.

Main Methods:

• Developed a novel scoring function: the deformity index.
• The index quantifies tree dissimilarity based on a reference tree's clades.
• Investigated index distributions, performed goodness-of-fit tests, and assessed robustness and scalability via statistical tests.

Main Results:

• The deformity index effectively quantifies tree dissimilarity using clade information.
• Statistical analyses confirmed the robustness and scalability of the deformity index across various models.
• Experiments on biological datasets demonstrated the superiority of the deformity index over conventional methods.

Conclusions:

• The deformity index offers a reliable and accurate method for phylogenetic tree comparison.
• This novel measure overcomes key limitations of existing tree distance metrics.
• The deformity index has significant potential for advancing phylogenetic research and data analysis.