Improving the scalability and reliability of sequencing workflows, better detection of changes in cancer genomes, and aiming to make tumour data accessible in real time.
With a growing need for data management, analysis and research computing support – in particular due to the unprecedented growth of sequencing data – researchers and clinicians will benefit from community-driven, reusable approaches to process, analyse and aggregate large-scale sequencing data.
Associate Professor Hofmann's group is working on improved scalability and reliability of sequencing workflows, better detection of changes in cancer genomes, and aims to make tumour data, especially molecular data, from medical institutions and other organisations, accessible for research use in real time.
The group contributes to the development of a best-practice workflow system, bcbio, to fully automate high throughput sequencing analysis. They reuse existing software and solutions wherever possible to minimise redundant method development. As part of this effort the team works closely with the Global Alliance for Genomics and Health (GA4GH) as well as commercial and academic partners (Veritas, Genomics England, Google, AstraZeneca and others). They are also working in partnership with the Australian Genomic Health Alliance to make their work widely available to the Australian scientific community.
Contact and more information
Associate Professor Oliver Hofmann
Department of Clinical Pathology