ERC2.0 evolutionary rate covariation update improves inference of functional interactions across large phylogenies.

ABSTRACT: Evolutionary rate covariation (ERC) is an established comparative genomics method that identifies sets of genes sharing patterns of sequence evolution, which suggests shared function. Whereas many functional predictions of ERC have been empirically validated, its predictive power has hitherto been limited by its inability to tackle the large numbers of species in contemporary comparative genomics data sets. This study introduces ERC2.0, an enhanced methodology for studying ERC across phylogenies with hundreds of species and tens of thousands of genes. ERC2.0 improves upon previous iterations of ERC in algorithm speed, normalizing for heteroskedasticity, and normalizing correlations via Fisher transformations. These improvements have resulted in greater statistical power to predict biologic

SUBMITTER: Little JH 

PROVIDER: S-EPMC12400958 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature