Matthew Eldridge

The paper investigates how CDKN2A and other 9p21 gene losses influence oesophageal cancer progression, finding context-dependent effects on survival and immune infiltration.

The paper evaluates tools for estimating absolute copy numbers from shallow whole genome sequencing data and introduces an improved tool called Rascal.

This study shows genomic copy number changes can predict oesophageal cancer up to 10 years before diagnosis, enabling earlier treatment and reduced unnecessary monitoring.

The paper uses whole genome sequencing and phylogenetic analysis to show that metastases in esophageal adenocarcinoma spread rapidly through a clonal diaspora model.

The paper shows GCNA interacts with Topoisomerase II to resolve DNA-protein crosslinks, maintaining genome stability in germline and early embryos.

The paper detects circulating tumor DNA in plasma and urine of glioma patients using sequencing guided by tumor mutations.

GenEditID is a platform for identifying CRISPR-edited cell clones using deep sequencing and proteomic data, enabling scalable and sensitive gene editing analysis.

The paper introduces conliga, a method for inferring high-resolution SCNA profiles from a low-cost and simple assay, addressing the need for affordable SCNA analysis in clinical settings.