Julie M. Livingstone

Metapipeline-DNA automates comprehensive analysis of DNA sequencing data from raw reads to visualization, supporting germline and somatic genomic features.

This study quantifies mutation rates, selection coefficients, and epistatic interactions across prostate cancer stages, revealing dynamic selective pressures and therapeutic implications.

moPepGen identifies non-canonical peptides from genetic and transcriptomic data across species and technologies by generating them in linear time.

This study examines telomere length in prostate cancer, finding associations with genomic instability and clinical outcomes.

The paper quantifies tumor-specific total mRNA expression from bulk data and shows its association with clinical outcomes across 15 cancer types.