Integrative Data Analysis Core
Integrative Data Analysis Core
批准号:
10237222
负责人:
FABIEN CAMPAGNE
金额:
$83.05万
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:
2017-09-30 至 2023-03-31
关键词:
ApacheBackBioinformaticsBiological AssayBlood - brain barrier anatomyBrainBrain imagingCenter for Translational Science ActivitiesCharacteristicsChronic Fatigue SyndromeClinicalClinical DataComputer softwareDataData AnalysesData AnalyticsData Coordinating CenterData ReportingDepositionDimensionsEducational workshopEnsureFunctional ImagingGene ExpressionGenerationsGoalsLicensingLinkMedicineModalityMolecularNamesParticipantPathologyPatientsPhenotypePostdoctoral FellowProteomeProteomicsRNAReproducibilityResearchResearch PersonnelSamplingSignal TransductionSoftware ToolsSourceStandardizationStudentsStudy SubjectTechniquesTestingTimeTissuesTrainingTraining ActivityUniversitiesVisualizationWorkclinical centerdata harmonizationdata integrationdata managementdata sharingdifferential expressionexperienceextracellularextracellular vesiclesinnovationinsightmemberneuroimagingnovelopen sourceskillssoftware developmentsymposiumtool
中文摘要
项目总结:综合数据分析核心
该ME/CFS中心的综合数据分析核心(IDAC)将支持该中心的项目
生物信息学、数据管理和数据整合。IDAC将与临床核心密切合作,组织
不确定的主题数据,以促进中心每个项目中的数据分析。综合数据分析
CORE按照四个具体目标组织:AIM1将帮助中心组织、存储和管理实验
结果和临床数据,确保PI中心和调查人员了解不同的进展
中心数据生成组件。AIM 2将在可复制数据方面协助和教育中心调查人员
分析技术,为中心参与者举办定期培训研讨会,介绍如何使用新的可复制对象
数据分析工具。目标3将对本中心和其他机构产生的数据进行综合分析
ME/CFS中心,将该中心生产的各种分析模式的数据结合在一起,以帮助中心调查人员
进行数据解释。最后,AIM 4将合格数据存入ME/CFS数据管理和
协调中心(DMCC),并与DMCC联络,以协调数据管理和
我们的中心和DMCC。这一综合数据分析核心的总体目标是确保所有
中心研究人员不会因为需要强大、可靠的数据分析而在研究中停滞不前
我们利用我们丰富的数据分析技能来确保在这一领域为所有参与者提供支持
中心。
英文摘要
PROJECT SUMMARY: INTEGRATIVE DATA ANALYSIS CORE
The Integrative Data Analysis Core (IDAC) of this ME/CFS Center will support Projects of the Center for
bioinformatics, data management and data integration. IDAC will work closely with the Clinical Core to organize
de-identified subject data to facilitate data analyses in each of the Center's Project. The Integrative Data Analysis
Core is organized along four specific aims: Aim1 will help the Center organize, store and manage experimental
results and clinical data, ensuring the Center PI and investigators have visibility over progress of the different
Center data generation components. Aim 2 will assist and educate Center investigators in reproducible data
analysis techniques, hosting regular training workshops for Center participants in working with novel reproducible
data analysis tools. Aim 3 will produce integrative analyses across data produced by our Center and other
ME/CFS Centers, combining data across assay modalities produced by the Center to help Center investigators
with data interpretation. Finally, Aim 4 will deposit eligible data in the ME/CFS data management and
coordinating center (DMCC) and liaise with the DMCC to harmonize data management and conventions between
our Center and the DMCC. The overarching goals of this Integrative Data Analysis Core are to ensure that all
Center researchers are not held back in their research by their need for strong, reliable data analysis, and that
we leverage our considerable data analytics skills to ensure support in this sphere for all participants in the
Center.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Immune cell gene expression and predictive models in CFS
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批准号:8661704
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财政年份:2013
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负责人:FABIEN CAMPAGNE
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依托单位:
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批准号:8573126
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依托单位:
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