A BRAIN Initiative Resource: The Neuroscience Multi-omic Data Archive

BRAIN Initiative 资源：神经科学多组学数据档案

• 批准号: 10223132
• 负责人: Owen R White
• 金额: $ 126.36万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10223132
• 关键词: Archives; Atlases; BRAIN initiative; Binding Sites; Bioconductor; Brain; Brain Diseases; Chromatin; Communities; Computer software; Cytosine; Data; Data Collection; Data Coordinating Center; Data Management Resources; Data Storage and Retrieval; Data Store; Databases; Deposition; Development; Diagnostic; Docking; Documentation; Elements; Ensure; Familiarity; Future; Generations; Genetic Transcription; Genomic Segment; Individual; Institution; Internet; Knowledge; Location; Metadata; Modeling; Modification; Multiomic Data; Neurosciences; Patients; Personnel Staffing; Phenotype; Policies; Principal Investigator; Procedures; Process; Prognosis; Quality Control; Regulatory Element; Reproducibility; Research; Research Project Grants; Resources; Running; Services; Site; Standardization; System; Technology; Testing; United States National Institutes of Health; Visualization; Visualization software; Work; analysis pipeline; archive data; archived data; base; brain abnormalities; brain research; cell type; cloud based; cloud storage; complex R; computerized data processing; data archive; data centers; data ecosystem; data ingestion; data integration; data pipeline; data repository; data resource; data standards; data submission portal; data visualization; database structure; experience; experimental study; histone modification; indexing; machine learning algorithm; member; multiple data types; multiple omics; neural circuit; next generation; online resource; operation; programs; public repository; query tools; repository; tool; transcription factor; web site; working group

Project Summary The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative promotes the development and application of technologies to describe the temporal and spatial dynamics of cell types and neural circuits in the brain. The Principal Investigator, senior personnel and staff of this project have diverse expertise required to marshall data across the BRAIN Initiative consortium, including experience in data collection from multiple institutions, large-scale quality control and analysis processing capability, familiarity with NIH policy and public archive deposition strategies. To promote smooth interactions across a large research consortium, we will develop the Neuroscience Multi-Omic Archive (NeMO Archive), a data repository that is specifically focused on the storage and dissemination of omic data from the BRAIN Initiative and related brain research projects. We will utilize a federated model for data storage such that the physical location of data can be distributed between the NeMO local file system, public repositories, and a cloud-based storage system (e.g. Amazon S3). We will leverage this capability and distribute BRAIN Initiative data between our local filesystem and the cloud. The Nemo Archive will be a data resource consistent with the principles advanced by research community members who are launching resources in next generation NIH data ecosystem. These practices include FAIR Principles, documentation of APIs, data-indexing systems, workflow sharing, use of shareable software pipelines and storage on cloud-based systems. The information incorporating into the NeMO archive will, in part, enable understanding of 1) genomic regions associated with brain abnormalities and disease; 2) transcription factor binding sites and other regulatory elements; 3) transcription activity; 4) levels of cytosine modification; and 5) histone modification profiles and chromatin accessibility. It will enable users to answer diverse questions of relevance to brain research, such as identifying diagnostic candidates, predicting prognosis, selecting treatments, and testing hypotheses. It will also provide the basic knowledge to guide the development and execution of predictive and machine learning algorithms in the future.

项目概要 通过推进创新神经技术 (BRAIN) 计划进行大脑研究 促进描述时间和空间的技术的发展和应用 大脑中细胞类型和神经回路的动态。首席研究员，高级 该项目的人员和工作人员拥有整理整个区域数据所需的各种专业知识 BRAIN Initiative联盟，包括从多个机构收集数据的经验， 大规模的质量控制和分析处理能力，熟悉NIH政策和 公共档案存放策略。促进大型研究中的顺利互动 联盟，我们将开发神经科学多组学档案（NeMO Archive），一个数据 专门致力于组学数据存储和传播的存储库 BRAIN Initiative 和相关的大脑研究项目。我们将利用联合数据模型 存储，使得数据的物理位置可以分布在 NeMO 本地文件之间 系统、公共存储库和基于云的存储系统（例如 Amazon S3）。我们将 利用此功能并在我们的本地文件系统和 云。 Nemo Archive 将成为符合以下原则的数据资源： 正在启动下一代 NIH 数据资源的研究社区成员 生态系统。这些实践包括公平原则、API 文档、数据索引 系统、工作流程共享、可共享软件管道的使用以及基于云的存储 系统。纳入 NeMO 档案的信息将在一定程度上使 了解 1) 与大脑异常和疾病相关的基因组区域； 2） 转录因子结合位点和其他调控元件； 3）转录活性； 4）级别 胞嘧啶修饰； 5) 组蛋白修饰谱和染色质可及性。它将 使用户能够回答与大脑研究相关的各种问题，例如识别 候选诊断、预测预后、选择治疗方法和检验假设。它将 还提供基础知识来指导预测和执行的开发和执行 未来的机器学习算法。