Stefan C. Dentro

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

The paper benchmarks 31 subclonal reconstruction algorithms on simulated tumours, finding that algorithm choice significantly impacts performance and no single algorithm excels across all tasks.

The paper analyzes whole-genome data from Nigerian breast cancer patients, identifying ethnic-driven somatic evolution and distinct genomic subtypes associated with African ancestry.

This study develops quantitative metrics and simulated datasets to evaluate subclonal reconstruction methods in tumours.

The paper analyzes somatic retrotransposition events in 2,954 cancer genomes, identifying L1 insertions as significant contributors to structural variations and oncogenesis.