Data Repository and Curation

这个U19项目汇集了大量具有不同专业知识的投资者，产生不同的 用于表征几个样本中对接种疫苗和感染受试者的免疫应答的数据形式 收藏。结果多维数据集将是一个非常丰富的基板系统 分析不仅回答具体问题，而且调查协调反应的可能性 在多个平台上进行疫苗接种。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独特功能的功能来为U19项目构建数据库 不同的免疫表型数据。特别是，我们将实施一个自动化的管道， 数据准备、质量控制和基于FLAME程序的分析。这种新方法模拟了 多维数据，并提取参数，如细胞群体集群的几何尺寸 以及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使用的计算方法。将编写其他方法， 与分析小组密切合作，根据需要实施，分析小组的成员也在实际工作中， 位于布罗德研究所。

This U19 project brings together a large number of invesfigators of varied expertise generafing different forms of data to characterize immune responses to vaccinated and infected subjects in several sample collecfions. The resulfing multidimensional dataset will be an extremely rich substrate for systematic analyses that not only answer specific quesfions but also invesfigate 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 mulfidimensional data and extracts parameters such as geometric descripfions of cell populafion clusters and the orientafion of these clusters in mulfidimensional space. This method illustrates the cutting-edge computational methods that we will deploy in this project. Addifional methods will be written and implemented as needed in close collaborafion with the Analysis Team, whose members are also physically located at the Broad Institute.