COBRE: Center for Computational Biology of Human Disease

 描述(由申请人提供)：我们建议在布朗大学及其附属医院建立和建设人类疾病计算生物学科布雷中心。这一努力的动机在于共同承诺，个性化基因组医学和对大数据的新颖分析是识别和治疗人类疾病的关键要素。对基因组、转录组甚至100个基因组进行测序是大多数研究人员可用的常规程序。然而，将这些原始数据转化为有意义的信息是基因组学进步带来的新挑战。该中心的基本原则是，在大数据集分析方面面临共同挑战的经验生物学家和计算生物学家之间的密切合作可以加速转化医学的实施。布朗大学生物医学社区是实现这一目标的理想环境。各部门和与沃伦·阿尔伯特医学院有关的医院之间的密切合作为统一人类疾病的生物学和定量方法提供了背景。我们将发展一种文化，在这种文化中，计算和生物研究在每个研究小组中分布。我们提出了一种创新的联合指导策略，其中每个初级教员都由计算和生物或临床高级教员提供建议。此外，我们将建立一个由生物医学大数据科学家组成的核心团队，他们构建多个初级PI通用的分析工具，并直接与各个研究团队合作。该中心的长期目标是为大布朗和医院环境建立和发展一个计算生物学基础设施的联系，这将使整个罗德岛受益。这项提议的目的是建立科布雷中心的基础设施，以支持初级调查人员的研究活动，以确保他们过渡到由R01资助的独立科学家。该中心的建立有两个具体目标，以及五个横跨计算和临床研究的研究项目。目标1：建立将支持科布雷中心的行政核心；目标2：建立将支持初级研究人员研究的生物医学大数据核心；目标3个单独研究项目--项目1：将种族和性别差异纳入疾病基因组研究；项目2：癌症生存的综合基因组学；项目3：对病毒/细菌混合感染的耐受性；项目4：延长健康跨度的药物重新定位战略；项目5：先兆子痫的计算基因组学。

 DESCRIPTION (provided by applicant): We propose to establish and build the COBRE Center for the Computational Biology of Human Disease at Brown University and affiliated hospitals. The motivation for this effort lies in the joint promise that personalized genomic medicine and novel analyses of Big Data are key elements in the identification and treatment of human disease. Sequencing a genome, a transcriptome, or even 100 of them is a routine procedure available to most researchers. However, converting these raw data into meaningful information is the new challenge generated by the progress in genomics. The underlying principle of this Center is that close collaboration between empirical and computational biologists with common challenges in the analysis of large data sets can accelerate the implementation of translational medicine. The Brown University Biomedical community is an ideal environment to achieve this goal. The close collaboration among Departments and the hospitals associated with the Warren Alpert Medical School provide the context for unifying biological and quantitative approaches to human disease. We will evolve a culture where computational and biological research is distributed within each research group. We propose an innovative joint mentoring strategy where each junior faculty member is advised by both computational and biological or clinical senior faculty members. Moreover, we will build a Core of biomedical Big Data scientists who build analysis tools common to multiple junior PIs, and collaborate directly with individual research teams. The long-term goal of the Center is to establish and grow a nexus of computational biology infrastructure for the greater Brown and hospital environments that will benefit all of Rhode Island. The objective of this proposal is to establish the infrastructure of the COBRE Center to support the research activities of Junior Investigators to ensure their transition to stand-alone R01-funded scientists. There are two Specific Aims related to the establishment of the Center, and five Research Projects spanning computational and clinical studies. Aim 1: Build the Administrative Core that will support the COBRE Center; Aim 2: Build the Biomedical Big Data Core that will support the research of Junior Investigators; Aim 3 individual research projects - Project 1: Incorporating Ethnic and Gender Disparities in Genomic Studies of Disease; Project 2: Integrative Genomics of Cancer Survival; Project 3: Tolerance of Viral/Bacterial Co-infections; Project 4: A Drug Repositioning Strategy for Healthspan Extension; Project 5: Computational Genomics of Preeclampsia.