Huw A. Ogilvie

tMHG-Finder uses Mash guide trees and consensus representative sequences to find maximal homologous groups in bacterial genomes with linear scaling, reaching F-score 0.932 on simulated data.

This study investigates the evolutionary timing of immune escape mutations across 38 cancer types using functional genomics and tumor evolution reconstruction.

This paper introduces GRITIC, a method to time genomic gains in tumors, finding that copy number gains often accumulate after genome duplication.

This study analyzes over 7,000 SARS-CoV-2 datasets to reveal genomic diversity, showing iSNVs and small indels drive variation, and highlights implications for qRT-PCR and transmission tracking.

This paper improves the computational efficiency of Bayesian species tree inference by restricting gene tree space without sacrificing accuracy.

StarBEAST2 improves species tree inference speed and accuracy by integrating population size analysis and relaxed clocks for substitution rate estimation.