Experiences in building a next-generation sequencing analysis service using galaxy, globus online and Amazon web service

R. Madduri, Paul Dave, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Ian T Foster
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引用次数: 19

Abstract

We describe Globus Genomics, a system that we have developed for rapid analysis of large quantities of next-generation sequencing (NGS) genomic data. This system is notable for its high degree of end-to-end automation, which encompasses every stage of the data analysis pipeline from initial data access (from remote sequencing center or database, by the Globus Online file transfer system) to on-demand resource acquisition (on Amazon EC2, via the Globus Provision cloud manager); specification, configuration, and reuse of multi-step processing pipelines (via the Galaxy workflow system); and efficient scheduling of these pipelines over many processors (via the Condor scheduler). The system allows biomedical researchers to perform rapid analysis of large NGS datasets using just a web browser in a fully automated manner, without software installation.
使用galaxy、globus online和Amazon web服务构建下一代测序分析服务的经验
我们介绍了Globus Genomics,这是一个我们开发的用于快速分析大量下一代测序(NGS)基因组数据的系统。该系统以其高度的端到端自动化而闻名,它涵盖了数据分析管道的每个阶段,从初始数据访问(通过Globus Online文件传输系统从远程测序中心或数据库)到按需资源获取(在Amazon EC2上,通过Globus Provision云管理器);多步骤处理管道的规范、配置和重用(通过Galaxy工作流系统);以及在多个处理器上高效地调度这些管道(通过Condor调度程序)。该系统允许生物医学研究人员仅使用web浏览器就能以完全自动化的方式对大型NGS数据集进行快速分析,而无需安装软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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