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
项目总结/文摘
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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批准号:10400105
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资助金额:$111.38万
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批准号:10189938
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依托单位:
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批准号:10573245
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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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财政年份:2020
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The biofilm matrix of P. aeruginosa
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批准号:10579223
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财政年份:2019
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依托单位:
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批准号:10330563
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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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依托单位:
Self Correcting Nanoflow LC-MS for Clinical Proteomics
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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
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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:
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
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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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资助金额:$0.95万
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负责人:Michael MacCoss
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WORM EJACULOMICS
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