PhyloMAd: efficient assessment of phylogenomic model adequacy

Area of Science:

• Evolutionary Biology
• Computational Biology
• Bioinformatics

Background:

• Accurate phylogenetic inference is crucial for understanding evolutionary processes.
• The performance of phylogenetic methods depends heavily on the suitability of evolutionary models.
• Assessing the absolute performance of these models presents a significant challenge in the field.

Purpose of the Study:

• To introduce PhyloMAd, a novel application designed for assessing evolutionary models.
• To provide a user-friendly tool for evaluating nucleotide substitution and among-lineage rate variation models.
• To facilitate model improvement and data selection for enhanced phylogenomic analyses.

Main Methods:

• Developed PhyloMAd, a software application implementing a likelihood-based model assessment method.
• The method is designed to be computationally fast and suitable for large, multi-locus datasets.
• The application assesses commonly used models of nucleotide substitution and rate variation.

Main Results:

• PhyloMAd offers a tractable approach for model adequacy assessment in phylogenetics.
• The software enables efficient evaluation of complex evolutionary models.
• Demonstrates utility in guiding improvements to evolutionary models used in phylogenomic studies.

Conclusions:

• PhyloMAd addresses the challenge of assessing absolute model performance in evolutionary biology.
• The tool aids researchers in selecting appropriate models or refining existing ones.
• Enhances the reliability and accuracy of phylogenomic analyses by improving evolutionary signal detection.