Data Repository and Curation

数据存储库和管理

• 批准号: 8868323
• 负责人: Chris Cotsapas
• 金额: $ 19.95万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2016-12-16
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8868323
• 关键词: Cells; Collaborations; Computing Methodologies; Data; Data Set; Databases; Immune; Immune response; Immunology; Institutes; Methods; Modeling; Population; Preparation; Quality Control; Research Infrastructure; Research Personnel; System; Vaccinated; Vaccination; Writing; base; member; novel; programs; response; sample collection

This U19 project brings together a large number of investigators of varied expertise generating different forms of data to characterize immune responses to vaccinated and infected subjects in several sample collections. The resulting multidimensional dataset will be an extremely rich substrate for systematic analyses that not only answer specific questions but also investigate the possibility of coordinated responses to vaccination across multiple platforms. Leveraging existing database infrastructure at the Broad Institute, we will build a database for this U19 project by adding functionality that accommodates the unique features of different immunophenotypic data. In particular, we will implement an automated pipeline for cytometric data preparation, quality control, and analysis based on our FLAME program. This novel method models multidimensional data and extracts parameters such as geometric descriptions of cell population clusters and the orientation of these clusters in multidimensional space. This method illustrates the cutting-edge computational methods that we will deploy in this project. Additional methods will be written and implemented as needed in close collaboration with the Analysis Team, whose members are also physically located at the Broad Institute.

该U19项目汇集了大量各种专业知识的研究者，它们产生了不同形式的数据，以表征对几个样本集合中对接种和感染受试者的免疫反应。由此产生的多维数据集将是系统分析的非常丰富的底物，不仅可以回答特定的问题，而且还研究了对跨多个平台进行疫苗接种的协调回答的可能性。利用Broad Institute的现有数据库基础架构，我们将通过添加功能来构建该U19项目的数据库，该功能适合不同的免疫表型数据的独特功能。特别是，我们将基于我们的火焰程序实施自动化管道，以进行细胞术数据准备，质量控制和分析。这种新颖的方法对多维数据进行建模并提取参数，例如细胞群簇的几何描述以及这些簇在多维空间中的取向。该方法说明了我们将在该项目中部署的尖端计算方法。与分析团队密切合作，将根据需要编写和实施其他方法，他们的成员也位于广大研究所。