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Running Genomic Analyses in the Cloud

机译:在云中运行基因组分析

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摘要

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-related 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.
机译:基因组测试正在迅速迁移到医疗保健实践中。 然而,它具有信息学挑战,即医疗保健系统之前没有面临 - 原始数据可以是每次测试数百千兆字节,计算需求可能是数千个CPU小时,测试可以揭示深度私人健康相关信息 对与测试人员相关的人的影响。 虽然不是Panacea,但云计算具有特殊的属性,可以改善其中一些困难。 本文介绍了一些关键的经验教训,同时在昆士兰基因组学的云计算上部署一组基因组分析。

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