数据湖、云和共享：基因组数据分析和共享平台综述
Data Lakes, Clouds and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data
摘要：
Data Commons利用云计算基础设施和常用的软件服务、工具和应用程序整理数据，以创建生物医学资源，用于大规模管理、分析、协调和共享生物医学数据。在过去的几年中，数据共享已被用于分析，协调和共享大规模基因组数据集。数据生态系统可以通过互操作多个数据共享来构建。在数据共享中管理、导入和分析数据可能是相当劳动密集型的。数据湖提供了一种数据共享的替代方案，只是提供对数据的访问，数据管理和分析推迟到以后，并委托给那些访问数据的人。我们回顾了用于管理、分析和共享基因组数据的软件平台，重点是数据共享，但也涵盖了数据生态系统和数据湖。
英文摘要：
Data commons collate data with cloud computing infrastructure and commonly used software services, tools and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data. Over the past few years, data commons have been used to analyze, harmonize and share large scale genomics datasets. Data ecosystems can be built by interoperating multiple data commons. It can be quite labor intensive to curate, import and analyze the data in a data commons. Data lakes provide an alternative to data commons and simply provide access to data, with the data curation and analysis deferred until later and delegated to those that access the data. We review software platforms for managing, analyzing and sharing genomic data, with an emphasis on data commons, but also covering data ecosystems and data lakes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
