Computational Core

总结 开普勒C核 这项研究计划的总体目标是设计一种能引起广泛中和反应的免疫原 通过应用通过分析流感病毒接种后B细胞个体发育获得的知识， 或者感染实现这一目标将需要大量使用计算生物学的方法 和统计数据，以有效地从将生成的大型数据集中提取相关信息， 追求这个目标。核心C（计算生物学）的主要目标是提供方法， 专业知识和软件来满足这些基本需求。 核心C将提供 1.支持P01研究者分析免疫球蛋白测序数据， 2.支持统计数据分析，包括抗体的表位/互补位距离和相关性 功能和 3.数据管理系统，用于组织和分析程序中生成的数据。

Summary Core C, Kepler The overall goal of the research program is to design immunogens that elicit a broadly neutralizing response by applying the knowledge gained through the analysis of B-cell ontogeny following influenza-virus vaccination or infection. The achievement of this goal will require substantial use of methods from computational biology and statistics to effectively extract the relevant information from the large datasets that will be generated in pursuit of this goal. The primary objective of Core C (Computational Biology) is to provide the methods, expertise, and software to meet these essential needs. In particular, Core C will provide 1. Support to the P01 investigators for the analysis of immunoglobulin sequencing data, 2. Support for statistical data analysis including epitopic/paratopic distance and correlates of antibody function, and 3. A data management system for the organization and analysis of data generated within the program.