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，产生了不同形式的数据，以在几个样本集合中表征对接种疫苗和受感染对象的免疫反应。由此产生的多维数据集将为系统分析提供极其丰富的基础，这些系统分析不仅可以回答具体问题，还可以调查跨多个平台协调应对疫苗接种的可能性。利用博德研究所现有的数据库基础设施，我们将为这个U19项目建立一个数据库，增加适应不同免疫表型数据独特功能的功能。特别是，我们将根据我们的FLAME程序，实施一条用于细胞学数据准备、质量控制和分析的自动化管道。这种新的方法对多维数据建模，并提取参数，如细胞群体集群的几何描述以及这些集群在多维空间中的方向。此方法说明了我们将在此项目中部署的尖端计算方法。其他方法将在需要时与分析小组密切合作编写和实施，分析小组的成员也实际位于布罗德研究所。

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.