Molnár-Gábor Fruzsina, Lueck Rupert, Yakneen Sergei, Korbel Jan O
Heidelberg Academy of Sciences and Humanities, Karlstraße 4, 69117, Heidelberg, Germany.
European Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Genome Med. 2017 Jun 20;9(1):58. doi: 10.1186/s13073-017-0449-6.
Biomedical research is becoming increasingly large-scale and international. Cloud computing enables the comprehensive integration of genomic and clinical data, and the global sharing and collaborative processing of these data within a flexibly scalable infrastructure. Clouds offer novel research opportunities in genomics, as they facilitate cohort studies to be carried out at unprecedented scale, and they enable computer processing with superior pace and throughput, allowing researchers to address questions that could not be addressed by studies using limited cohorts. A well-developed example of such research is the Pan-Cancer Analysis of Whole Genomes project, which involves the analysis of petabyte-scale genomic datasets from research centers in different locations or countries and different jurisdictions. Aside from the tremendous opportunities, there are also concerns regarding the utilization of clouds; these concerns pertain to perceived limitations in data security and protection, and the need for due consideration of the rights of patient donors and research participants. Furthermore, the increased outsourcing of information technology impedes the ability of researchers to act within the realm of existing local regulations owing to fundamental differences in the understanding of the right to data protection in various legal systems. In this Opinion article, we address the current opportunities and limitations of cloud computing and highlight the responsible use of federated and hybrid clouds that are set up between public and private partners as an adequate solution for genetics and genomics research in Europe, and under certain conditions between Europe and international partners. This approach could represent a sensible middle ground between fragmented individual solutions and a "one-size-fits-all" approach.
生物医学研究正变得越来越大规模且国际化。云计算能够实现基因组数据与临床数据的全面整合,并在灵活可扩展的基础设施内对这些数据进行全球共享和协同处理。云计算为基因组学提供了新的研究机会,因为它有助于以前所未有的规模开展队列研究,并且能够以卓越的速度和吞吐量进行计算机处理,使研究人员能够解决使用有限队列的研究无法解决的问题。此类研究一个成熟的例子是全基因组泛癌分析项目,该项目涉及分析来自不同地点、不同国家和不同司法管辖区研究中心的拍字节规模的基因组数据集。除了巨大的机遇外,对于云计算的使用也存在一些担忧;这些担忧涉及数据安全和保护方面的明显局限,以及需要适当考虑患者捐赠者和研究参与者的权利。此外,信息技术外包的增加阻碍了研究人员在现有地方法规范围内行事的能力,因为不同法律体系对数据保护权的理解存在根本差异。在这篇观点文章中,我们阐述了云计算当前的机遇和局限,并强调将公共和私人合作伙伴之间建立的联邦云和混合云作为欧洲遗传学和基因组学研究的适当解决方案,在某些情况下也是欧洲与国际合作伙伴之间遗传学和基因组学研究的适当解决方案,进行负责任的使用。这种方法可能代表了一种介于零散的个别解决方案和“一刀切”方法之间的明智折中方案。