Profylo: A Python Package for Phylogenetic Profile Comparison and Analysis.

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Phylogenetic profiling analyzes gene ortholog presence-absence patterns to infer functional associations via co-evolution.
• Existing methods for phylogenetic profiling lack readily available software implementations.
• There is a need for accessible tools to construct, compare, and analyze phylogenetic profiles for gene function prediction.

Purpose of the Study:

• To introduce Profylo, an open-source Python package for phylogenetic profiling.
• To provide a comprehensive toolkit with diverse methods for phylogenetic profile comparison and co-evolving gene cluster identification.
• To benchmark the performance of implemented methods in predicting human gene functional relationships.

Main Methods:

• Profylo implements seven distinct methods for comparing phylogenetic profiles.
• The toolkit includes four algorithms for identifying clusters of co-evolving genes.
• Analysis tools, including visualization features, are integrated within the Profylo package.

Main Results:

• The study benchmarks Profylo's methods for predicting functional relationships among human genes using various datasets.
• Profylo's utility is demonstrated through a case study analyzing the presence-absence of all protein-coding genes in the human genome.
• The open-source Python 3.0 package is available on GitHub for public access and use.

Conclusions:

• Profylo offers a versatile and accessible solution for phylogenetic profiling analysis.
• The toolkit facilitates the exploration of gene co-evolutionary patterns for functional inference.
• Profylo supports researchers in computational biology and genomics with practical tools for gene function prediction.