CGR

Abstract

Massively parallel sequencing technologies have revolutionized the field of cancer genomics. On a single platform, it is now possible to identify all somatically acquired mutations of all classes in a given cancer sample in real time. However, a number of challenges to interpreting the data exist, and necessitate the development of carefully tested bioinformatic algorithms. I will present an overview of our approaches for handling the data, focusing on the practical issues, common artefacts and challenges of current methodologies.