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Federated Galaxy: Biomedical Computing at the Frontier

机译:联合银河:前沿生物医学计算

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Biomedical data exploration requires integrative analyses of large datasets using a diverse ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject.org) has provided researchers with a web-based, user-friendly, scalable data analysis framework complemented by a rich ecosystem of tools (https://usegalaxy.org/toolshed) used to perform genomic, proteomic, metabolomic, and imaging experiments. Galaxy can be deployed on the cloud (https://launch.usegalaxy.org), institutional computing clusters, and personal computers, or readily used on a number of public servers (e.g., https://usegalaxy.org). In this paper, we present our plan and progress towards creating Galaxy-as-a-Service-a federation of distributed data and computing resources into a panoptic analysis platform. Users can leverage a pool of public and institutional resources, in addition to plugging-in their private resources, helping answer the challenge of resource divergence across various Galaxy instances and enabling seamless analysis of biomedical data.
机译:生物医学数据探索需要使用多种工具生态系统对大型数据集进行综合分析。十多年来,Galaxy项目(https://galaxyproject.org)为研究人员提供了基于Web的,用户友好的,可扩展的数据分析框架,并辅以丰富的工具生态系统(https://usegalaxy.org / toolshed)进行基因组,蛋白质组,代谢组学和成像实验。 Galaxy可以部署在云(https://launch.usegalaxy.org),机构计算集群和个人计算机上,也可以方便地在许多公共服务器上使用(例如https://usegalaxy.org)。在本文中,我们介绍了我们的计划和在创建“银河即服务”联盟(将分布式数据和计算资源联合到全景分析平台中)方面的计划和进展。用户可以利用一系列公共和机构资源,此外还可以插入其私人资源,从而帮助应对跨各种Galaxy实例的资源分散带来的挑战,并实现对生物医学数据的无缝分析。

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