Richard Gallon

The paper investigates how sequencing depth and marker number affect detecting mismatch repair deficiency in colorectal tumors using artificial neural networks.

The paper introduces a panel of short mononucleotide repeats for MSI testing, showing high concordance with traditional methods and potential for scalable, cost-effective tumor classification.

This paper develops a sequencing-based assay using molecular inversion probes to detect microsatellite instability and BRAF V600E mutations in colorectal cancer, enabling high-throughput diagnostics and Lynch syndrome screening.