Rupert Hugh-White

This study maps epigenomic heterogeneity in prostate cancer by analyzing 3,001 methylomes and identifies four subtypes with distinct clinical and molecular features.

The paper analyzes genetic and health record data from a diverse population to uncover gene-phenotype associations and assess polygenic score performance across ancestries.

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

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

The paper introduces a method to assign single-cell RNA-seq data to donor-of-origin without prior genetic information, achieving high concordance in tumor-derived data.