Hartwig Medical Foundation Australia
Hartwig Medical Foundation Australia is a not for profit organisation that develops and maintains a comprehensive open source suite of bioinformatic tools to analyse whole genomes and whole transcriptomes for cancer treatment and research. They are a small team of highly skilled software engineers and data scientists with expertise in all aspects of bioinformatics.
Their suite of bioinformatic tools are used to provide clinical reports to cancer patients and to provide processed data for the Hartwig Medical Database of genomes and transcriptomes used by cancer researchers worldwide. The tools are also freely available as a comprehensive analysis suite to other groups who wish to analyse whole genome / transcriptome data for cancer research.
Many leading research groups in cancer genomics use their tools both in Australia and internationally. Their key collaborations in Australia include partnering with Walter Eliza Hall Institute on the development of tools to analyse and interpret genomic rearrangements in cancer. They also provide genomics and transcriptomics tools and support for the Zero Childhood Cancer program at Children’s Cancer Institute and the SUPER NEXT project at the University of Melbourne for treatment of cancers of unknown primary.
Areas of interest
They are interested in building scalable automated tools which can leverage WGS / WTS data to gain insight into tumorgenesis or the treatment of cancers. Specific areas of focus include:
- Genomic rearrangements including ctDNA, mobile element insertions, and other complex rearrangements
- Immune analyses including HLA typing, and identification and prioritisation of neoantigens
- Tissue of origin identification
- Novel splicing and splice associated mutations
- Telomeric alterations
For more details, please contact email@example.com
We are proud that we succeeded in implementing the complete DNA test in standard of care diagnostics, together with Hartwig Medical Foundation. Moreover, the test produces vital information for a learning healthcare system in oncology. We will be able to treat future patients even more effectively.