Case Study: University of Melbourne improves cancer diagnosis and therapy selection with Illumina Connected Analytics

Using analytics to improve cancer diagnosis and therapy selection

The University of Melbourne Centre for Cancer Research (UMCCR) sought to improve the scalability and reliability of its genomic sequencing workflows for cancer research. Their challenge was to move beyond a traditional high-performance computing system to a scalable, cloud-native platform that could support faster data analysis and secure sharing among researchers and clinicians, requiring a commercially supported solution.

The solution was implemented using Illumina Connected Analytics, a cloud-based genomic data management and analysis environment. By migrating to the Illumina platform, which leverages DRAGEN for rapid secondary analysis, the UMCCR team optimized and standardized their analytic pipelines. This significantly streamlined their timeline from data generation to a curated report, enabling better collaboration and moving them closer to their goal of a sub-seven-day turnaround for cancer diagnosis and therapy selection.

University of Melbourne

Oliver Hofmann

Associate Professor and Head of Bioinformatics, Clinical Pathology