Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources, Including Consortium-Wide and External Engagement
灵活的混合云基础设施,用于无缝管理 HuBMAP 资源,包括联盟范围内和外部参与
基本信息
- 批准号:9919970
- 负责人:
- 金额:$ 204.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-06-21 至 2022-06-20
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalArchitectureAtlasesAwardBRAIN initiativeBloodBrain imagingBudgetsCancer Research NetworkCellsCensusesCenters for Disease Control and Prevention (U.S.)ChicagoCloud ComputingCollectionComplexComputer softwareDataData ScienceData SetDepositionEnsureFAIR principlesFaceBaseGoalsGrantHealth TechnologyHumanHuman bodyHybridsImageImageryInfrastructureInstitutesLeadLeadershipLicensingMapsNational Heart, Lung, and Blood InstituteNational Institute of Dental and Craniofacial ResearchNational Institute of General Medical SciencesOutputParticipantPhilosophyProcessRecording of previous eventsReproducibilityResearchResourcesRoleRunningScientistSecurityServicesSiteSite VisitSolidStructureSupercomputingSystemTechnologyTimeTissuesUnited States National Institutes of HealthUniversitiesVisionWorkbasecollaboratorycomputing resourcescostcyber infrastructuredata managementdata resourcedata sharingdesignexperienceflexibilityimage archival systemimaging scientistopen datapeer networksprogramssocialsoftware developmenttooltumorusabilityuser centered designvirtual
项目摘要
To provide for the Infrastructure Component (IC) of the HuBMAP HIVE, Pittsburgh Supercomputing Center
(PSC) and the University of Pittsburgh (Pitt) will create a flexible and scalable hybrid cloud infrastructure in close
coordination with the HIVE Collaboratory, the HuBMAP Consortium, and stakeholders world wide. This proposed
IC will seamlessly connect HuBMAP with storage and co-located compute resources for depositing, accessing,
querying, searching, analyzing, and visualizing both raw and processed HuBMAP data. Data and tools
incorporated into the IC will be findable, accessible, interoperable, reusable (FAIR), and put together in
reproducible, shareable workflows that can be run locally and on all major public clouds. The IC services will be
flexible and extensible to incorporate new data, tools, technologies, security needs, federated identity and user
roles via modular architecture of APIs and containers. These features enable tools to be both rapidly deployed
and modifiable, defined as distinct functions with defined inputs and outputs, enabling solidly constructed
repeatable pipelines. The IC will provide the open data platform for study of tissue organization and function
through 3D biomolecular tissue maps in the spatial framework of the human body envisioned by HuBMAP.
Our vision for the HuBMAP infrastructure is flexible, efficient delivery on HuBMAP’s goals, on sustainable
platforms, by engaged and experienced leadership. We see the infrastructure component in a key service role
to other HIVE components, TMCs, NIH program, and interacting with other atlas projects. Our design is based
upon existing substantial persistent infrastructure supported by many projects with a 30-year history. At PSC,
HuBMAP will be sustained for decades at reasonable cost and/or integrate with other programs. In addition to
leadership and grounded technology expertise, we are proposing full-time project management and imaging and
data science expertise within our team. These capabilities will allow the infrastructure component staff to engage
as “ever-present” participants in any aspects of the discussions of the integrated collaboratory conceived by the
HuBMAP program (e.g. HIVE, TMCs, NIH staff). The structure of the HIVE enables the infrastructure component
to focus on delivery and the engagement required for delivery.
为匹兹堡超级计算中心HuBMAP蜂窝的基础设施组件(IC)提供
(PSC)和匹兹堡大学(PIT)将在近期创建灵活且可扩展的混合云基础设施
与蜂巢合作实验室、HuBMAP联盟和世界各地的利益相关者进行协调。这项建议
IC将HuBMAP与存储和托管计算资源无缝连接,
查询、搜索、分析和可视化原始和已处理的HuBMAP数据。数据和工具
集成到IC中将是可找到的、可访问的、可互操作的、可重复使用的(公平的),并放在一起
可在本地和所有主要公共云上运行的可复制、可共享的工作流。IC服务将是
灵活且可扩展,可整合新数据、工具、技术、安全需求、联合身份和用户
角色通过API和容器的模块化架构实现。这些功能使工具既可以快速部署
和可修改的,定义为具有定义的输入和输出的不同功能,使得能够牢固地构造
可重复的管道。IC将为组织结构和功能的研究提供开放的数据平台
通过HuBMAP设想的人体空间框架中的3D生物分子组织图。
我们对HuBMAP基础设施的愿景是灵活、高效地交付HuBMAP的可持续发展目标
平台,由敬业和经验丰富的领导。我们看到基础架构组件扮演着关键的服务角色
其他蜂巢组件、TMC、NIH计划,以及与其他地图集项目的互动。我们的设计是基于
基于现有的大量持久的基础设施,得到许多具有30年历史的项目的支持。在PSC,
HuBMAP将以合理的成本持续数十年,并/或与其他项目整合。除了……之外
领导力和扎实的技术专长,我们建议全职项目管理和成像以及
我们团队拥有数据科学方面的专业知识。这些功能将允许基础架构组件员工参与
作为“无时无刻不在”的参与者参与由
HuBMAP计划(例如,HIVE、TMCS、NIH工作人员)。蜂窝的结构使基础设施组件
专注于交付和交付所需的参与度。
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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Philip D. Blood其他文献
Extending parallel scalability of LAMMPS and multiscale reactive molecular simulations
扩展 LAMMPS 和多尺度反应分子模拟的并行可扩展性
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Yuxing Peng;Christopher Knight;Philip D. Blood;Lonnie D. Crosby;G. Voth - 通讯作者:
G. Voth
Blacklight: Coherent Shared Memory for Enabling Science
Blacklight:支持科学的连贯共享内存
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Nick Nystrom;Joel S. Welling;Philip D. Blood;E. L. Goh - 通讯作者:
E. L. Goh
Petascale Applications Symposium Multilevel Parallelism and Locality-Aware Algorithms
Petascale 应用研讨会多级并行性和局部感知算法
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
G. Voth;Philip D. Blood;Pittsburgh Supercomputing Center - 通讯作者:
Pittsburgh Supercomputing Center
Bridges: Converging HPC, AI, and Big Data for Enabling Discovery
桥梁:融合 HPC、AI 和大数据以实现发现
- DOI:
10.1201/9781351036863-14 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Nicholas A. Nystrom;Paola A. Buitrago;Philip D. Blood - 通讯作者:
Philip D. Blood
Playbook Workflow Builder: Interactive Construction of Bioinformatics Workflows from a Network of Microservices
Playbook 工作流程生成器:通过微服务网络交互式构建生物信息学工作流程
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Daniel J. B. Clarke;J. E. Evangelista;Zhuorui Xie;Giacomo B. Marino;M. Maurya;Sumana Srinivasan;Keyang Yu;Varduhi Petrosyan;Matthew E. Roth;Miroslav Milinkov;C. H. King;Jeet K. Vora;Jonathon Keeney;Christopher Nemarich;William Khan;Alexander Lachmann;Nasheath Ahmed;Sherry L. Jenkins;Alexandra Agris;Juncheng Pan;Srinivasan Ramachandran;E. Fahy;Emmanuel Esquivel;Aleksandar Mihajlovic;Bosko Jevtic;Vuk Milinovic;Sean Kim;Patrick McNeely;Tianyi Wang;Eric Wenger;Miguel A. Brown;Alexander Sickler;Yuankun Zhu;Philip D. Blood;Deanne M. Taylor;A. Resnick;Raja Mazumder;Aleksandar Milosavljevic;Shankar Subramaniam;Avi Ma’ayan - 通讯作者:
Avi Ma’ayan
Philip D. Blood的其他文献
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{{ truncateString('Philip D. Blood', 18)}}的其他基金
Flexible Hybrid Cloud Infrastructure for Seamless Integration and Use of Human Biomolecular Data and Reference Maps [1 of 5]
灵活的混合云基础设施,用于无缝集成和使用人类生物分子数据和参考图 [1 of 5]
- 批准号:
10886340 - 财政年份:2022
- 资助金额:
$ 204.67万 - 项目类别:
Flexible Hybrid Cloud Infrastructure for Seamless Integration and Use of Human Biomolecular Data and Reference Maps [1 of 5]
灵活的混合云基础设施,用于无缝集成和使用人类生物分子数据和参考图 [1 of 5]
- 批准号:
10534401 - 财政年份:2022
- 资助金额:
$ 204.67万 - 项目类别:
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources
灵活的混合云基础设施,可无缝管理 HuBMAP 资源
- 批准号:
10397277 - 财政年份:2021
- 资助金额:
$ 204.67万 - 项目类别:
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources
灵活的混合云基础设施,可无缝管理 HuBMAP 资源
- 批准号:
10250640 - 财政年份:2018
- 资助金额:
$ 204.67万 - 项目类别:
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources
灵活的混合云基础设施,可无缝管理 HuBMAP 资源
- 批准号:
10017372 - 财政年份:2018
- 资助金额:
$ 204.67万 - 项目类别:
Breakthrough Molecular Dynamics Research via an Anton2 Supercomputer
通过 Anton2 超级计算机进行突破性分子动力学研究
- 批准号:
9187833 - 财政年份:2015
- 资助金额:
$ 204.67万 - 项目类别:
Breakthrough Molecular Dynamics Research via an Anton2 Supercomputer
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10211715 - 财政年份:2015
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Breakthrough Molecular Dynamics Research via an Anton2 Supercomputer
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10398926 - 财政年份:2015
- 资助金额:
$ 204.67万 - 项目类别:
Breakthrough Molecular Dynamics Research via an Anton2 Supercomputer
通过 Anton2 超级计算机进行突破性分子动力学研究
- 批准号:
10615059 - 财政年份:2015
- 资助金额:
$ 204.67万 - 项目类别:
Breakthrough Molecular Dynamics Research via an Anton2 Supercomputer
通过 Anton2 超级计算机进行突破性分子动力学研究
- 批准号:
9007161 - 财政年份:2015
- 资助金额:
$ 204.67万 - 项目类别:
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