ODF: Support infrastructure for NextGen sequence storage analysis and mgt

描述（由申请人提供）：开放科学数据框架（OSDF）将提供在联邦云数据和计算环境中进行生物信息学分析所需的架构和软件。OSDF由一个数据存储和数据交换过程组成，并带有一个应用程序接口（API）来支持用户社区的数据提交、检索和分析。OSDF将支持多种用户，包括(1)需要存储和处理原始数据的序列生成器；(2)需要访问参考数据集的工具和管道开发人员；(3)需要实时查询参考数据的基于web的资源。基因组学社区将能够利用该资源处理人类基因组学、转录组学和宏基因组学数据，以进行包括人类变异检测、转录组分析、表观遗传分析和微生物组分析在内的分析。为了实现这些目标，我们建议：1)建立OSDF软件栈和；2)通过将OSDF与已建立的社区支持的管道集成到支持云的虚拟机中，确保这些数据的可用性；3)创建两个OSDF实例，其中我们将托管来自1000基因组计划，MG-RAST和人类微生物组计划的公开基因组，转录组学和宏基因组学数据以及一些中间和最终分析结果；4)为使用系统的用户群体提供充分的文档和培训。

DESCRIPTION (provided by applicant): The Open Science Data Framework (OSDF) will provide the architecture and software necessary for conducting bioinformatics analyses in a federated cloud-enabled data and computational environment. The OSDF consists of a data store and data exchange procedures with an Application Program Interface (API) to support data submissions, retrievals and analysis for the user community. OSDF will support a diverse set of users, including (1) sequence generators that need to store and process raw data (2) tool and pipeline developers that need access to reference data sets, and (3) web-based resources that need real-time querying of reference data. The genomics community will be able to use this resource to process human genomic, transcriptomics, and metagenomic data to conduct analyses that include human variation detection, transcriptome analysis, epigenetic analysis, and microbiome analysis. To accomplish these goals we propose to: 1) establish the OSDF software stack and; 2) ensure the usability of this data by integrating OSDF with established community supported pipelines in Cloud-enabled virtual machines; 3) create two OSDF Instances where we will host publicly available genomic, transcriptomics, and metagenomic data from the 1000 Genomes Project, MG-RAST, and Human Microbiome Project and some of the intermediate and final analysis results; 4) provide adequate documentation and training to the user community to use the system.