Genomic testing is rapidly moving into healthcare practice. However it comes with informatics challenges that the healthcare system has not previously faced - the raw data can be hundreds of gigabytes per test, the compute demands can be thousands of CPU hours, and the test can reveal deeply private health-srelated information that can have implications for anyone related to the person tested. While not a panacea, cloud computing has particular properties that can ameliorate some of these difficulties. This paper presents some of the key lessons learned while deploying a set of genomic analyses on cloud computing for Queensland Genomics.
Authors | Leonard, Conrad; Wood, Scott; Holmes, Oliver; Waddell, Nic; Gorse, Dominique; Hansen, David P; Pearson, John V |
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Journal | Studies in Health Technology and Informatics |
Pages | 149-155 |
Volume | 266 |
Date | 1/08/2019 |
Grant ID | |
Funding Body | |
URL | http://www.ncbi.nlm.nih.gov/pubmed/?term=10.3233/SHTI190787 |