Bioinformatics and Data Integration Core

项目摘要生物信息学和数据集成核心(BDIC) 对阿尔茨海默病绒猴模型的翻译相关性进行系统分析将需要 与所有项目和核心互动的集中式数据管理和分析团队。为此， 生物信息学和数据集成核心(BDIC)将：生成多组学数据来表征绒猴 基因组、蛋白质组和转录组；为测序、基因组学和 类似的分子数据；导入和整理相关人类遗传和基因组研究的数据和结果； 创建流程和工具，以系统地对齐多尺度跨物种的人类和绒猴数据 分析；并创建和填充一个数据共享平台，以便广泛和开放地获取所有数据和协议。 该核心将通过以下目标实现这一目标：(1)生成、处理和管理基因组规模 来自老化的远交猴和突变绒猴种群的分子数据；(2)开发和应用统计方法 基于匹配的多组测量进行严格的绒猴和跨物种数据分析；以及(3)广泛的 通过开放科学平台传播数据和方案，以确保可靠地复制研究和方案 所有绒毛数据的重复使用。BDIC将以现有资源为基础，例如AD知识门户、 Agora平台、ALZ-PED以及现有NIA资助的财团的工作流程，包括AMP-AD、Treat-AD、 模型AD、移动AD和弹性AD。我们将把这个以绒猴为中心的项目的成果添加到这个项目中 为优化翻译相关性和负责任的数据重用奠定基础。为了实现这些目标，北汽集团 将在多个项目组成部分的多个上下文中管理数据并促进其综合分析。 内部和外部研究人员将能够高效、可靠地评估 绒猴模型及相关表型。最后，更广泛的研究界将有权 用绒猴作为模型来理解和指导他们对阿尔茨海默病的治疗方法的研究。

PROJECT SUMMARY BIOINFORMATICS AND DATA INTEGRATION CORE (BDIC) Systematic analysis of the translational relevance of marmoset models of Alzheimer’s disease will require a centralized data management and analysis team that interacts with all Projects and Cores. To this end, the Bioinformatics and Data Integration Core (BDIC) will: generate multi-omics data to characterize marmoset genomes, proteomes, and transcriptomes; provide data processing and storage for sequencing, genomics, and similar molecular data; import and curate data and results from relevant human genetic and genomic studies; create the processes and tools to systematically align human and marmoset data for multi-scale cross-species analyses; and create and populate a data-sharing platform for broad and open access of all data and protocols. This core will address this goal through the following aims: (1) generate, process, and manage genome-scale molecular data from aging outbred and mutant marmoset populations; (2) develop and apply statistical methods for rigorous marmoset and cross-species data analysis based on matched multi-omic measures; and (3) broadly disseminate data and protocols through open science platforms to ensure reliable replication of studies and reuse of all marmoset data. The BDIC will build upon existing resources such as the AD Knowledge Portal, the Agora platform, Alz-PED, and the workflows from existing NIA-funded consortia, including AMP-AD, TREAT-AD, MODEL-AD, MOVE-AD, and Resilience-AD. We will add the outcomes of this marmoset-centered project to this foundation to optimize translational relevance and responsible data reuse. In achieving these goals, the BDIC will manage data and facilitate its integrated analysis in multiple contexts across multiple project components. Internal and external researchers will be positioned to efficiently and reliably assess the disease relevance of marmoset models and associated phenotypes. Finally, the broader research community will be empowered to use the marmoset as a model to understand and guide their research into therapeutics for Alzheimer’s disease.