BioMedical Big Data Core
生物医学大数据核心
基本信息
- 批准号:8813144
- 负责人:
- 金额:$ 73.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-06-01 至 2021-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressAgreementAlgorithmsBig DataBig Data to KnowledgeBioinformaticsBiologicalBiomedical ResearchCenters of Research ExcellenceClinicalCommunitiesComplexComputational BiologyComputer softwareComputersCore FacilityDNADNA SequenceDataData AnalysesData SetData Storage and RetrievalDatabasesDetectionDiagnosisEducational workshopEnsureExperimental DesignsFacultyGenomeGenomicsGoalsHospitalsIndividualInstitutionLaboratoriesLeadMapsMissionPostdoctoral FellowProcessQuality ControlReproducibilityResearchResearch InfrastructureResearch PersonnelResource AllocationResourcesRhode IslandScientistStressTechnologyThe Cancer Genome AtlasTrainingUnited States National Institutes of HealthUniversitiesWorkbig biomedical datacohortcomputerized data processingcomputerized toolsdata accessdata sharingexomegraduate studenthuman diseaseinsightnovelnovel strategiesoperationpersonalized genomic medicinepublic health relevancesoftware developmenttranscriptome sequencinguser friendly software
项目摘要
PROJECT SUMMARY
The goal of this proposed COBRE Center is to unite computational and basic biological approaches to the
study of human disease. To support this general goal, the proposed Biomedical Big Data Core (BBD
Core) will build the necessary infrastructure for biomedical researchers at Brown and Affiliated Hospitals
to acquire, store, process, and analyze large-scale biomedical datasets. The near-term, primary mission
of the BBD Core is to support Junior Investigators in the analysis and interpretation of high-throughput
DNA/RNA sequencing datasets, including both data generated in their laboratories and large publically
available datasets. The BBD Core will serve as the central resource for big data analysis, and will address
the computational and analytical needs shared by multiple Junior Investigators, investigators who lack
resources to build the necessary resources within their research groups. The Core will also facilitate
scientific interactions between the projects in the COBRE, synergizing across common themes of
biomedical big data. The long-term goal of the BBD Core is to provide a sustainable resource to support
the big data challenges faced by contemporary genomics studies across Brown University and our
Affiliated Hospitals. This resource will enable biomedical researchers to focus on the scientific and
clinical challenges of such studies, while also avoiding unnecessary redundancy by building
computational/analytical expertise independently in each laboratory. The Core also provides training
for the broad research community to ensure the sustainability of next cohort of junior investigators.
Dr. Benjamin Raphael and Dr. Zhijin Wu will be the faculty leaders of the BBD Core. This Core will
add four staff scientists to facilitate computational approaches to human disease research. A
Computational Biologist/Director will oversee routine operations and resources allocation. The database
developer will work with all projects to develop and maintain databases of project data and public
genomic databases. The computer programmer will develop pipelines for data processing and
implement existing and/or novel algorithms under the guidance of the director and COBRE Junior
Investigators. The Biostatistician will provide data analysis support.
项目总结
这个拟建的科布雷中心的目标是将计算和基本生物学方法统一起来
研究人类疾病。为了支持这一总体目标,建议的生物医学大数据核心(BBD
CORE)将为布朗及其附属医院的生物医学研究人员建立必要的基础设施
获取、存储、处理和分析大规模生物医学数据集。近期的首要任务是
BBD的核心是支持初级调查人员对高通量的分析和解释
DNA/RNA测序数据集,包括其实验室和大型公共机构生成的数据
可用的数据集。BBD核心将作为大数据分析的中心资源,并将解决
多名初级调查人员共享的计算和分析需求,调查人员缺乏
在他们的研究小组内建立必要的资源。核心还将促进
科布雷项目之间的科学互动,跨共同主题的协同
生物医学大数据。BBD核心的长期目标是提供可持续的资源来支持
布朗大学和我们的当代基因组学研究面临的大数据挑战
附属医院。这一资源将使生物医学研究人员能够专注于科学和
此类研究的临床挑战,同时还通过建立
每个实验室都有独立的计算/分析专业知识。该中心还提供培训
以确保下一批初级调查人员的可持续性。
本杰明·拉斐尔博士和吴志进博士将担任BBD核心的教职员工领导。这一核心将
增加四名科学家,以促进人类疾病研究的计算方法。一个
计算生物学家/主任将监督日常操作和资源分配。数据库
开发人员将与所有项目合作,开发和维护项目数据和公共数据库
基因组数据库。计算机程序员将开发用于数据处理和管理的管道
在总监和初级Cobre的指导下实施现有和/或新的算法
调查人员。生物统计师将提供数据分析支持。
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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Benjamin Raphael其他文献
Benjamin Raphael的其他文献
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{{ truncateString('Benjamin Raphael', 18)}}的其他基金
Pathway, Network and Spatiotemporal Integration of Cancer Genomics Data
癌症基因组数据的路径、网络和时空整合
- 批准号:
10704174 - 财政年份:2021
- 资助金额:
$ 73.67万 - 项目类别:
Pathway, Network and Spatiotemporal Integration of Cancer Genomics Data
癌症基因组数据的路径、网络和时空整合
- 批准号:
10301898 - 财政年份:2021
- 资助金额:
$ 73.67万 - 项目类别:
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution
用于分析肿瘤异质性和进化的全面而强大的工具
- 批准号:
10269002 - 财政年份:2020
- 资助金额:
$ 73.67万 - 项目类别:
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution
用于分析肿瘤异质性和进化的全面而强大的工具
- 批准号:
10700040 - 财政年份:2020
- 资助金额:
$ 73.67万 - 项目类别:
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution
用于分析肿瘤异质性和进化的全面而强大的工具
- 批准号:
10059032 - 财政年份:2020
- 资助金额:
$ 73.67万 - 项目类别:
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution
用于分析肿瘤异质性和进化的全面而强大的工具
- 批准号:
10677268 - 财政年份:2020
- 资助金额:
$ 73.67万 - 项目类别:
Pathway and Network Integration of Cancer Genomics and Clinical Data
癌症基因组学和临床数据的通路和网络整合
- 批准号:
9765287 - 财政年份:2016
- 资助金额:
$ 73.67万 - 项目类别:
Pathway and Network Integration of Cancer Genomics and Clinical Data
癌症基因组学和临床数据的通路和网络整合
- 批准号:
9211127 - 财政年份:2016
- 资助金额:
$ 73.67万 - 项目类别:
Analytical Approaches to Massive Data Computation with Applications to Genomics
海量数据计算的分析方法及其在基因组学中的应用
- 批准号:
8825472 - 财政年份:2013
- 资助金额:
$ 73.67万 - 项目类别:
Computational Characterization of Genetic Heterogeneity
遗传异质性的计算表征
- 批准号:
8417550 - 财政年份:2013
- 资助金额:
$ 73.67万 - 项目类别:
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