Signal, noise, and bias in phylogenetic inference:potential and limits to the resolution of phylogenetic trees in the phylogenomic era
This paper establishes a theoretical framework demonstrating that while phylogenetic signal and bias accumulate linearly with data size, stochastic noise accumulates nonlinearly, revealing that genome-scale datasets may still fail to resolve deep or rapid divergences when noise overwhelms signal or when systematic bias continuously outpaces signal accumulation.