文章基本信息

标题：A case study for cloud based high throughput analysis of NGS data using the globus genomics system
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作者：Krithika Bhuvaneshwar ; Dinanath Sulakhe ; Robinder Gauba 等
期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2015
卷号：13
页码：64-74
DOI：10.1016/j.csbj.2014.11.001
语种：
出版社：Computational and Structural Biotechnology Journal
摘要：Next generation sequencing (NGS) technologies produce massive amounts of data requiring a powerful computational infrastructure, high quality bioinformatics software, and skilled personnel to operate the tools. We present a case study of a practical solution to this data management and analysis challenge that simplifies terabyte scale data handling and provides advanced tools for NGS data analysis. These capabilities are implemented using the “Globus Genomics” system, which is an enhanced Galaxy workflow system made available as a service that offers users the capability to process and transfer data easily, reliably and quickly to address end-to-endNGS analysis requirements. The Globus Genomics system is built on Amazon 's cloud computing infrastructure. The system takes advantage of elastic scaling of compute resources to run multiple workflows in parallel and it also helps meet the scale-out analysis needs of modern translational genomics research.
关键词：Next generation sequencing ; Galaxy ; Cloud computing ; Translational research