Matthew A. Myers

The paper shows that error-correction objectives for perfect phylogenies are statistically inconsistent, often favoring incorrect trees over the true one in simulated data.

scPlOver infers DNA content from single-cell WGS data using fragment overlaps, improving accuracy in identifying high DNA content cells in ovarian cancer.

The paper analyzes the evolutionary trajectories of high-level copy-number amplifications in cancer cell genomes to distinguish between extrachromosomal and intrachromosomal amplification mechanisms.

This study tracks clonal evolution of drug resistance in ovarian cancer using structural variants in cfDNA, finding polyclonal resistance with dominant high-fitness clones and genomic features linked to drug resistance.

This study shows that ongoing whole-genome doubling in ovarian cancer promotes cell diversity and immune dysregulation through chromosomal instability and quiescent states.

The paper identifies genomic alterations in the YAP/TAZ pathway associated with stem cell-like castration-resistant prostate cancer using transcriptomic and whole-genome sequencing data.

This paper introduces ArtiCull, a method to analyze single-cell whole-genome sequencing data to distinguish active from historical mutational processes in cancer, revealing temporal and spatial patterns in mutational signatures.

This paper introduces CALDER, an algorithm that infers tumor phylogenies from longitudinal bulk DNA sequencing data, showing improved accuracy over existing methods.