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人，他们产生了不同的 在几个样本中描述对接种疫苗和感染对象的免疫反应的数据形式 收藏品。由此产生的多维数据集将是系统化的非常丰富的基础 分析不仅要回答具体问题，而且要考虑协调反应的可能性 到跨多个平台接种疫苗。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这个U19项目构建一个数据库 不同的免疫表型数据。特别是，我们将实施一条用于细胞分析的自动化管道 根据我们的FLAME程序进行数据准备、质量控制和分析。这种新的方法建立了 多维数据，提取细胞群体的几何描述等参数 以及这些团簇在多维空间中的取向。这种方法展示了最先进的 我们将在此项目中部署的计算方法。将编写其他方法，并 根据需要与分析团队密切合作实施，分析团队的成员也在现场 位于布罗德学院。

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.