Data Repository and Curation

这个U19项目汇集了大量具有不同专业知识的研究人员，产生不同形式的数据，以表征几个样本采集中对接种疫苗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一个非常丰富的基础，不仅可以回答特定的问题，还可以研究在多个平台上协调疫苗接种反应的可能性。利用布罗德研究所现有的数据库基础设施，我们将通过添加适应不同免疫表型数据独特功能的功能，为U19项目构建数据库。特别是，我们将实施一个自动化的流水线细胞计数数据准备，质量控制和分析的基础上，我们的火焰程序。这种新方法对多维数据进行建模，并提取参数，如细胞群簇的几何描述和这些簇在多维空间中的方向。这种方法说明了我们将在这个项目中部署的尖端计算方法。将根据需要与分析小组密切合作编写和实施其他方法，分析小组的成员也在布罗德研究所工作。

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.