Long read-based analysis of cancer genomes

• PhD

Oxford Nanopore, Pacbio and other long-read sequencing technologies enable deep characterisation of cancer genomes, but remain relatively inaccessible. Based around existing and planned long read data from matched tumour and normal (blood) genomes, as well as simulated data, this project will deliver pipelines and new methods for long read-based characterisation of cancer genomes.

The Papenfuss Lab develops and applies mathematical, statistical and computational methods to analyze and make sense of complex molecular and clinical data from cohorts of patients with cancer.

Our overarching goal is to enable insights into cancer evolution, including initiation, progression, therapy response and outcome.