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Expanding and Enhancing Access to the Sequence Read Archive (SRA) Through a Complementary New Web-based Mirror

机译:通过补充的新的基于Web的镜像扩展和增强对序列读取档案(SRA)的访问

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摘要

Public institutions such as the National Center for Biotechnology Information (NCBI) have made tremendous investments in generating and archiving a wide array of valuable genomic data for use by the research community. Expanding access to these valuable public data and streamlining the ability to integrate them into data management tools and powerful analyses, will further expedite their use and value in medical research, discovery and applications.Teaming up with Google, DNAnexus has developed a complementary hosted mirror of the NCBI's Sequence Read Archive (SRA) that provides researchers an additional way to access these important datasets. This freely accessible resource provides a new web-based user interface built using the latest “cloud” technologies and genomic data standards. As the most comprehensive archive of publicly available next-generation sequencing data, the SRA is an important resource to researchers around the world. The SRA remains the single best source of useful sequence data from research initiatives such as the 1,000 Genomes Project and institutions like the Broad Institute, Washington University, and the Wellcome Trust Sanger Institute.Here we discuss our work with the NCBI and Google to create a complementary mirror of the SRA available at sra.dnanexus.com. Through a typical user scenario, we will discuss the underlying data processing pipeline, key features of the new web-based interface that enables researchers to quickly identify and browse datasets of interest, link-outs to PubMed references, and integration of those data into an analysis workflow for hypothesis generation.
机译:国家机构生物技术信息中心(NCBI)等公共机构在生成和归档各种有价值的基因组数据以供研究团体使用方面进行了大量投资。扩大与这些有价值的公共数据的访问并简化将它们集成到数据管理工具和强大分析中的能力,将进一步加快它们在医学研究,发现和应用中的使用和价值。DNAnexus与Google合作,开发了一个互补的托管镜像NCBI的序列读取档案(SRA)为研究人员提供了访问这些重要数据集的另一种方式。这种可免费访问的资源提供了一个基于Web的新用户界面,该界面使用最新的“云”技术和基因组数据标准构建。作为公开提供的下一代测序数据的最全面档案,SRA是全球研究人员的重要资源。 SRA仍然是来自诸如1000个基因组计划等研究计划以及广泛研究所,华盛顿大学和惠康信托桑格研究所等机构的有用序列数据的最佳最佳来源。在此,我们与NCBI和Google讨论我们的工作以创建一个SRA的互补镜可在sra.dnanexus.com上找到。通过一个典型的用户场景,我们将讨论基础的数据处理管道,基于Web的新界面的关键功能,使研究人员能够快速识别和浏览感兴趣的数据集,链接到PubMed参考文献以及将这些数据集成到数据库中。分析工作流程以生成假设。

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