Running Genomic Analyses in the Cloud.
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ID: 39239
2019
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Abstract
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.
| Reference Key |
leonard2019runningstudies
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|---|---|
| Authors | Leonard, Conrad;Wood, Scott;Holmes, Oliver;Waddell, Nic;Gorse, Dominique;Hansen, David P;Pearson, John V; |
| Journal | Studies in health technology and informatics |
| Year | 2019 |
| DOI |
10.3233/SHTI190787
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| URL | |
| Keywords | Keywords not found |
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