BioMedical Big Data Core

生物医学大数据核心

• 批准号: 10681237
• 负责人: Zhijin Jean Wu
• 金额: $ 95.83万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10681237
• 关键词: Acceleration; Agreement; Award; Bioconductor; Bioinformatics; Biological; Biomedical Research; Centers of Research Excellence; Clinical; Cloud Service; Communities; Computational Biology; Computer software; Core Facility; Data; Data Analyses; Data Scientist; Data Set; Development; Education and Outreach; Educational workshop; Environment; Faculty; Fee-for-Service Plans; Funding; Future; Genome; Genomics; Goals; Grant; High-Throughput Nucleotide Sequencing; Hospitals; Human; Laboratories; Language; Mining; Modeling; Molecular; Phase; Pythons; Reproducibility; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Rhode Island; Science; Services; Software Engineering; Time; Training; Translating; United States National Institutes of Health; Universities; big biomedical data; biobank; cohort; cost; data access; data management; data sharing; diversity and inclusion; genomic data; human disease; improved; public database; service programs; sharing platform; skills; sustainable resource; tool

PROJECT SUMMARY The long term goal of the COBRE for Computational Biology of Human Disease (CBHD) is to enhance the integration of basic biological and computational approaches to the study of human disease at Brown, its affiliated hospitals and across Rhode Island. Realizing this goal requires expertise that can support researchers across the spectrum from molecular biologists and clinical researchers using high throughput sequencing, to data scientists mining large publicly available human genomic datasets. In the initial Phase 1 support for this COBRE, we established the CBHD community and built the Computational Biology Core (CBC) facility to support junior faculty Project Leaders (PLs) that spanned this range of research. This support has led to seven NIH R01/R35 awards plus additional grants for our Project Leaders and Pilot awardees totaling more than $17.9M. In this Phase 2 renewal proposal we will strengthen and broaden the support for the CBC to enable a new cohort of CBHD COBRE PLs, plus other researchers in the Brown biomedical community, to advance their research into the computational biology of human disease. Computational and bioinformatic analyses have become a common language in contemporary biomedical research and are central tools required for researchers to realize the advances in genome enabled science. Our CBHD COBRE seeks to translate these tools into shared, accessible resources that will strengthen the competitiveness, and sense of community for all biomedical researchers in Rhode Island. The proximate goal of this COBRE in Phase 2 will be providing support for junior faculty PLs and Pilot awardees in the analysis and interpretation of massive sequencing datasets generated in their own labs or obtained from publicly available datbases. This will provide support for investigators who lack resources to build the necessary skill sets within their research groups, and accelerate their progress towards research funding independence. The central approach of the CBC will be to serve as a hub of collaborative service through the development of reproducible software pipelines and providing workshops for training of researchers to acquire bioinformatics fluency. This will enhance scientific interactions between diverse projects and broaden the sense of the community across the CBHD COBRE. The long-term goal of the CBC is to provide a sustainable resource to support the analytical challenges in ‘omics-scale human disease research across Brown University, our affiliated hospitals, and other researchers in Rhode Island. This will be achieved through three Specific Aims: 1. Strengthen computational and bioinformatics support for biomedical researchers; 2. Develop reproducible pipelines and interfaces to global data analysis and data sharing platforms; 3. Extend training and workshops to enhance computational skills of the broader community. This will bring the language of computational biology to a broader audience and increase the skill levels across the community, enhancing research capacity for all.

项目摘要 人类疾病计算生物学（CBHD）的长期目标是增强 布朗的基本生物学和计算方法的基本生物学方法和计算方法的整合，它的分支机构 医院和整个罗德岛。意识到这一目标需要专业知识，可以支持研究人员 分子生物学家和临床研究人员使用高通量测序的频谱，数据 科学家挖掘大型公开的人类基因组数据集。在最初的阶段1支持此毛绒， 我们建立了CBHD社区，并建立了计算生物学核心（CBC）设施以支持初级 教师项目领导者（PLS）跨越了这一研究。这项支持导致了七个NIH R01/R35 奖项以及我们的项目负责人和飞行员的额外赠款，总计超过1790万美元。在这个 第2阶段更新提案，我们将加强和扩大对CBC的支持，以实现新的队列 CBHD COBRE PLS以及棕色生物医学界的其他研究人员，以推进他们的研究 人类疾病的计算生物学。计算和生物信息学分析已成为常见 当代生物医学研究中的语言是研究人员实现的中心工具 基因组启用科学的进步。我们的CBHD COBRE试图将这些工具转化为共享的，可访问的 将加强所有生物医学研究人员的竞争力和社区意识的资源 罗德岛。该毛绒在第2阶段的近似目标将为初级教师提供支持， 试验者在分析和解释自己的实验室中生成的大规模测序数据集或 从公开可用的数据基础上获得。这将为缺乏资源建设资源的调查人员提供支持 他们的研究小组中必要的技能集，并加速了他们的进步研究资金 独立。 CBC的核心方法将是通过 开发可再现的软件管道并提供培训研究人员的研讨会以获取 生物信息学流利。这将增强潜水员项目之间的科学互动并扩大意义 CBHD COBRE的社区。 CBC的长期目标是提供可持续资源 为了支持布朗大学的“ OMICS规模人类疾病研究中的分析挑战” 会员医院和罗德岛的其他研究人员。这将通过三个具体目标来实现：1。 增强生物医学研究人员的计算和生物信息学支持； 2。发​​展可再现 全球数据分析和数据共享平台的管道和接口； 3。将培训和讲习班扩展到 提高更广泛社区的计算技能。这将使计算生物学的语言达到 广泛的受众群体并提高了整个社区的技能水平，增强了所有人的研究能力。