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• W2785694006 abstract "Next-generation sequencing technologies have fuelled a rapid rise in data, which require vast computational resources to store and analyse. This Review discusses the role of cloud computing in genomics research to facilitate data sharing and new analyses of archived sequencing data, as well as large-scale international collaborations. Next-generation sequencing has made major strides in the past decade. Studies based on large sequencing data sets are growing in number, and public archives for raw sequencing data have been doubling in size every 18 months. Leveraging these data requires researchers to use large-scale computational resources. Cloud computing, a model whereby users rent computers and storage from large data centres, is a solution that is gaining traction in genomics research. Here, we describe how cloud computing is used in genomics for research and large-scale collaborations, and argue that its elasticity, reproducibility and privacy features make it ideally suited for the large-scale reanalysis of publicly available archived data, including privacy-protected data." @default.
• W2785694006 created "2018-02-23" @default.
• W2785694006 creator A5009556658 @default.
• W2785694006 creator A5028455102 @default.
• W2785694006 date "2018-01-30" @default.
• W2785694006 modified "2023-10-16" @default.
• W2785694006 title "Cloud computing for genomic data analysis and collaboration" @default.
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