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Data Management and Analysis Core

Data Management and Analysis Core
数据管理与分析核心
批准号:
10419873
负责人:
Aris Floratos
金额:
$29.29万
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:
未结题
起止时间:
2017-01-01 至 2027-02-28
关键词:
Academic Medical CentersBioinformaticsBiological AssayBiomedical ResearchBlood CirculationCalibrationCell physiologyCellsCellular Indexing of Transcriptomes and Epitopes by SequencingClinicalCollaborationsCollectionCommunitiesComputational BiologyComputer softwareCytomegalovirusDataData AnalysesData FilesData SetData Storage and RetrievalDendritic CellsDepositionDirectoriesDocumentationDropoutEnsureEnvironmentFlow CytometryFundingFunding OpportunitiesGenomeGenomicsGoalsHerbert Irving Comprehensive Cancer CenterHigh Performance ComputingHumanHuman ResourcesImageImmuneImmune responseImmunityImmunologyImmunotherapyIn SituIndividualInfectionInformation SystemsInfrastructureInvestigationLeadMapsMemoryMethodologyModelingMolecularMolecular ProfilingNamesOrganPlayPopulationProceduresProcessProteomicsResearchResearch PersonnelResource SharingResourcesRoleSecureServicesStandardizationStructureSystemT cell receptor repertoire sequencingT-LymphocyteTimeTissuesTranscriptUnited States National Institutes of HealthVaccinationVaccinesViralVirusVisualizationWorkbasebiomedical informaticscell typecomputational pipelinescomputing resourcesdashboarddata curationdata disseminationdata explorationdata infrastructuredata integrationdata managementdata qualitydata sharingdata submissiondesignexperiencegenetic signaturehigh dimensionalityinformatics shared resourceinnovationmacrophagemultimodalitynoveloperationpathogenic viruspetabyteprogramspublic repositoryrepositoryresponsesingle cell analysissingle-cell RNA sequencingstatistical and machine learningsymposiumterabytetranscriptomicsuser-friendlyweb app

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中文摘要
翻译
数据管理和分析核心:项目总结
英文摘要
DATA MANAGEMENT AND ANALYSIS CORE: PROJECT SUMMARY The goal of the proposed program is to obtain in-depth profiles of how human innate and adaptive immune cells function in response to viral pathogens in tissues and to understand how the circulating responses relate to those in tissues. Using CMV as a model of infection, we aim to identify signatures for tissue-specific control of human immune responses for promoting in situ protective immunity in vaccines and immunotherapies. These efforts will generate thousands of data files representing the results of a diverse collection of assays. The Data Management and Analysis Core (DMAC) will be responsible for aggregating, annotating, organizing, analyzing, and disseminating this data. In that role the Core will serve as a centralized resource to support the shared data management and analysis needs of the Center, offering access to expertise and IT infrastructure that would be impractical to replicate in the context of individual projects. Specifically, the DMAC will: 1. Coordinate data curation, storage, and sharing: Data files will have to be accompanied by appropriate clinical and experimental annotations to support both the program’s own analysis needs as well as requirements for submission to public NIH repositories. The DMAC will coordinate this information in collaboration with the relevant projects and cores and will provide access to authenticated, network accessible storage infrastructure for securely storing and sharing files among investigators. 2. Provide data analysis expertise: The DMAC will provide projects with analytical expertise to guide the execution of computational investigations. Analyses will be standardized by leveraging (and adapting, as needed) validated computational pipelines developed to support the operation of well-established shared resources at the Columbia University Medical Center. The Core will further utilize and enhance novel methodologies for the analysis of single-cell data and for the systems-level delineation of the regulatory programs that preside over cell-state transitions in T cells, dendritic cells, and macrophages.3. Facilitate access to high performance computing infrastructure: The DMAC will provide investigators access to sophisticated IT infrastructure designed specifically to support the needs of biomedical research at the CUMC, including fast, network-accessible disk storage and a powerful computational cluster that is among the most advanced in the nation dedicated to biomedical research. 4. Coordinate data dissemination: A key goal of the HIPC program is timely dissemination of the data generated by all awardees to the public repositories. The process requires the compilation of comprehensive documentation to ensure that the data released are interpretable. The DMAC will be responsible for preparing all necessary data submissions, interfacing with repository personnel and ensuring that submission packages are fully annotated, per repository requirements.
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