Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)
实施基因组数据科学分析、可视化和信息学实验室空间 (AnVIL)
基本信息
- 批准号:10220581
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-21 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressBioconductorBiomedical ResearchDataData AnalysesData ScienceData Storage and RetrievalEcosystemElectronic Health RecordElementsEnsureEnvironmentFast Healthcare Interoperability ResourcesGalaxyGenomicsGenotype-Tissue Expression ProjectHealthcareIndividualInformaticsInstitutesMonitorMovementNational Human Genome Research InstitutePatientsRecordsResearchResearch PersonnelServicesSystemSystems AnalysisTechnologyThe Cancer Genome AtlasTrans-Omics for Precision MedicineUnited States National Institutes of HealthVisualizationWorkbasecloud basedcloud platformcomputational platformcomputing resourcesdata accessdata formatdata ingestiondata managementdata portaldata resourcedata sharingdata warehousegenomic datahealth datainteroperabilitymolecular phenotypenext generationphenotypic datatoolworking group
项目摘要
Project Summary
The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) powers the
next generation of computational genomics research using cloud-scale data and compute resources. The
platform is built on a set of established components, including the Terra computing platform and Dockstore
for standards-based sharing of containerized tools and workflows. It also provides multiple entry points for
data access and analysis, including batch workflows with Terra, notebook environments including Jupyter and
RStudio, Bioconductor packages for building analysis on top of AnVIL APIs and services, and will soon offer
Galaxy instances for interactive analysis. By providing a unified environment for data management and
compute, AnVIL eliminates the need for data movement, allows for controlled access to sensitive data and
monitoring, and provides elastic, shared computing resources that can be acquired by researchers as needed.
NIH-sponsored biomedical research is increasingly moving to cloud-based data storage and analysis systems,
with major cloud portals established for GTEx, Kids First, TOPMed, TCGA and several other major initiatives.
However, using these systems together is a challenge. The individual data portals enable researchers to browse
and query their own data but have limited functionality to share data or user registrations across portals or
with cloud based workspaces, like Terra and Galaxy. The recently established NIH Cloud Platform
Interoperability (NCPI) effort aims to address these issues by implementing key interoperability technologies
across multiple NIH institutes. Under this project, we will work the NCPI working groups to define the use
cases and standards for interoperability as well as implement three major technologies recommended by the
NCPI within the Galaxy and R/Bioconductor components of AnVIL. First, we will implement the NIH
Researcher Auth Service (RAS) to provide a common mechanism for researchers to establish their identity and
access data they are authorized to use across Terra and Galaxy. Second, we will implement the Global Alliance
for Genomics and Health (GA4GH) Data Repository Service (DRS) so that data consumers, including
workflow systems, can access data objects in a single, standard way regardless of where they are stored and
how they are managed. Finally, we will develop initial support in AnVIL for the Fast Healthcare
Interoperability Resources (FHIR) standard. This standard describes data formats, elements, and an API for
exchanging electronic health records (EHR), especially to ensure these records are available, discoverable, and
understandable as patients move around the healthcare ecosystem. FHIR support in AnVIL will facilitate
access to eMERGE and related projects by users once the data are ingested in AnVIL.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jeremy Goecks其他文献
Jeremy Goecks的其他文献
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{{ truncateString('Jeremy Goecks', 18)}}的其他基金
Scalable multi-mode education to increase use of ITCR tools by diverse analysts
可扩展的多模式教育,以增加不同分析师对 ITCR 工具的使用
- 批准号:
10669864 - 财政年份:2020
- 资助金额:
$ 40万 - 项目类别:
Scalable multi-mode education to increase use of ITCR tools by diverse analysts
可扩展的多模式教育,以增加不同分析师对 ITCR 工具的使用
- 批准号:
10250548 - 财政年份:2020
- 资助金额:
$ 40万 - 项目类别:
Scalable multi-mode education to increase use of ITCR tools by diverse analysts
可扩展的多模式教育,以增加不同分析师对 ITCR 工具的使用
- 批准号:
10075552 - 财政年份:2020
- 资助金额:
$ 40万 - 项目类别:
A Federated Galaxy for user-friendly large-scale cancer genomics research
用于用户友好的大规模癌症基因组学研究的联邦星系
- 批准号:
10245142 - 财政年份:2018
- 资助金额:
$ 40万 - 项目类别:
A Federated Galaxy for user-friendly large-scale cancer genomics research
用于用户友好的大规模癌症基因组学研究的联邦星系
- 批准号:
10908030 - 财政年份:2018
- 资助金额:
$ 40万 - 项目类别:
A Federated Galaxy for user-friendly large-scale cancer genomics research
用于用户友好的大规模癌症基因组学研究的联邦星系
- 批准号:
10461143 - 财政年份:2018
- 资助金额:
$ 40万 - 项目类别:
Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)
实施基因组数据科学分析、可视化和信息学实验室空间 (AnVIL)
- 批准号:
10405959 - 财政年份:2018
- 资助金额:
$ 40万 - 项目类别:
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