The Chorus Project: A Sustainable Cloud Solution for Mass Spectrometry Data
The Chorus Project: A Sustainable Cloud Solution for Mass Spectrometry Data
批准号:
9216498
负责人:
Michael MacCoss
金额:
$29.36万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-02-01 至 2021-01-31
关键词:
AlgorithmsBiologicalBiological AssayBiomedical ResearchCellsCloud ComputingCommunicationCommunitiesComputer softwareDataData CollectionData FilesData ScienceData SetData Storage and RetrievalDevelopmentDictionaryDiseaseEducational workshopEnsureFoundationsGenesGoalsImageryIndividualLaboratoriesLaboratory ResearchMaintenanceManufacturer NameMass Spectrum AnalysisMedicalMetadataMethodsOntologyOperating SystemPeptidesPerformancePhenotypeProblem SolvingProcessProductionProteomicsPublishingResearch InfrastructureSamplingScienceStandardizationStress TestsSystemTechnologyTestingTimeTrainingVendorapplication programming interfacebiomedical scientistcomputer infrastructurecostcost effectivedata accessdata acquisitiondata formatdata integrationexperimental studyimprovedinstrumentmass spectrometermeetingsnovelnovel strategiesrepositorysearch enginesmall moleculetoolwebinar
中文摘要
项目摘要/摘要
合唱团项目(http://chorusproject.org))的首要目标是通过以下方式促进生物医学研究
扩展我们存储、传播、共享和分析世界海量数据的能力
光谱数据。到目前为止,质谱界一直将他们的文件存储在当地的“筒仓”中。
在各自的研究实验室内。目前,每个实验室都构建了自己的计算基础设施
分析他们的数据。这一过程效率低下,而且是多余的。供实验室共享和使用的机制
以协作方式分析数据几乎是不存在的。此外,无论是供应商的数据格式,
所建立的存储库也不可能或有效地在实验和实验之间执行分析
实验室。我们开发了云基础架构,可促进高效的存储、共享和
跨供应商平台的质谱学数据可视化。我们打算在此基础上为
使社区能够构建工具来访问和分析单独的数据集或集体数据
完整的。通过将数据引入共享的云基础设施,我们改进了可能的分析,
通过共享大型数据集将挑战降至最低,并降低总体成本。我们将提高价值
通过标准化工具、改进数据可获得性、增加共享、
更高效的数据访问和更好的通信。
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英文摘要
PROJECT SUMMARY/ABSTRACT
The overarching goal of the Chorus project (http://chorusproject.org) is to advance biomedical research by
extending our capabilities for the storage, dissemination, sharing, and analysis of the world's mass
spectrometry data. To date, the mass spectrometry community has been storing their files in local “silos”
within the respective research laboratory. Each lab currently builds their own computational infrastructure for
the analysis of their data. This process is inefficient and redundant. Mechanisms for labs to share and
analyze data in a collaborative manner are almost non-existent. Furthermore, neither the vendor data formats,
nor the established repositories make it feasible or efficiently to perform analyses between experiments and
laboratories. We have developed a cloud infrastructure that facilitates the efficient storage, sharing, and
visualization of mass spectrometry data across vendor platforms. We intend to build on this foundation for
enabling the community to build tools to access and analyze individual datasets or the collective data as a
whole. By bringing data into a shared cloud infrastructure, we improve the analyses that are possible,
minimize the challenges with sharing large datasets, and reduce the overall costs. We will improve the value
of all mass spectrometry data through standardization of tools, improved data accessibility, increased sharing,
more efficient data access, and better communication.
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会议论文
Seattle Quant: A Resource for the Skyline Software Ecosystem
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批准号:10609502
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资助金额:$111.38万
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财政年份:2021
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负责人:Michael MacCoss
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依托单位:
Seattle Quant: A Resource for the Skyline Software Ecosystem
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批准号:10400105
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资助金额:$111.38万
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财政年份:2021
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负责人:Michael MacCoss
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依托单位:
Seattle Quant: A Resource for the Skyline Software Ecosystem
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批准号:10189938
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项目类别:
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资助金额:$111.38万
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财政年份:2021
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批准号:10359192
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资助金额:$47.17万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
Project 1: Discovery of proteins with altered abundance and stability
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批准号:10573256
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项目类别:
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资助金额:$48.48万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
Next Generation Translational Proteomics for Alzheimer's and Related Dementias
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批准号:10573244
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项目类别:
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资助金额:$314.46万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
Core 1: Administrative Core
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批准号:10573245
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项目类别:
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资助金额:$5.64万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
Next Generation Translational Proteomics for Alzheimer's and Related Dementias
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批准号:10359187
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项目类别:
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资助金额:$314.46万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
Core 1: Administrative Core
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批准号:10359188
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项目类别:
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资助金额:$11.34万
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财政年份:2020
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负责人:Michael MacCoss
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依托单位:
The biofilm matrix of P. aeruginosa
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批准号:10579223
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项目类别:
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资助金额:$53.99万
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财政年份:2019
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负责人:Michael MacCoss
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依托单位:
The biofilm matrix of P. aeruginosa
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批准号:10330563
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项目类别:
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资助金额:$56.71万
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财政年份:2019
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负责人:Michael MacCoss
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依托单位:
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass Spectrometry
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批准号:8850241
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项目类别:
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资助金额:$19.38万
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财政年份:2015
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负责人:Michael MacCoss
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依托单位:
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass Spectrometry
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批准号:9052745
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项目类别:
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资助金额:$22.73万
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财政年份:2015
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负责人:Michael MacCoss
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依托单位:
Self Correcting Nanoflow LC-MS for Clinical Proteomics
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批准号:8840976
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项目类别:
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资助金额:$37.43万
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财政年份:2013
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负责人:Michael MacCoss
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依托单位:
Self Correcting Nanoflow LC-MS for Clinical Proteomics
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批准号:8558710
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项目类别:
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资助金额:$35.59万
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财政年份:2013
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负责人:Michael MacCoss
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依托单位:
Skyline Targeted Proteomics Environment
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批准号:8217996
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项目类别:
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资助金额:$37.98万
-
财政年份:2011
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负责人:Michael MacCoss
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依托单位:
Skyline Targeted Proteomics Environment
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批准号:8915218
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项目类别:
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资助金额:$38.63万
-
财政年份:2011
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负责人:Michael MacCoss
-
依托单位:
Skyline Targeted Proteomics Environment
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批准号:8539058
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项目类别:
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资助金额:$37.27万
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财政年份:2011
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负责人:Michael MacCoss
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依托单位:
DEVELOPMENT OF CUSTOM FAIMS ELECTRONICS
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批准号:8365834
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项目类别:
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资助金额:$0.95万
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财政年份:2011
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负责人:Michael MacCoss
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依托单位:
OPTIMIZATION OF NANOFLOW LC FOR IMPROVED PEAK CAPACITY AND PEPTIDE IDS
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批准号:8365816
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项目类别:
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资助金额:$0.95万
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财政年份:2011
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负责人:Michael MacCoss
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依托单位:
海外基金