Data Analysis Core

数据分析核心(DAC)将集中JHU-Mayo-NIA小鼠的计算分析 衰老图谱绘制程序(JMN-MSMP)用于生成完整的细胞分子和空间图谱 衰老的小鼠组织中的衰老。JMN-MSMP将从批量RNA测序、单细胞测序中产生数据 RNA测序(scRNA-seq)、染色质可及性测序(scATAC-seq)、空间转录和 多光谱成像等。发改委将提供必要的专业知识和服务来翻译这份文件 将原始数据转化为知识。更具体地说，发展援助委员会将负责以下任务：1) 提供基本的分析管道、计算专业知识和数据管理服务，以支持 生物分析核心(BAC)；2)采用最先进的方法分析来自尖端的数据 技术，以及JMN内产生的独特数据资源的集成和可视化-- 随着这些方法的成熟，MSMP；3)领导地图集本身的建设；4)协调 与其他Sennet中心和CODCC一起分析活动，以标准化管道并做出贡献 独特的多组学和传授学习专业知识。DAC将提供标准化和严谨的分析 针对Sennet的目标进行优化的管道，并使用这些管道来生成可查找、可访问的 可互操作、可重复使用(公平)的数据。

The Data Analysis Core (DAC) will centralize computational analysis for the JHU-Mayo-NIA Murine Senescence Mapping Program (JMN-MSMP) to generate integrated molecular and spatial maps of cellular senescence in aging murine tissues. The JMN-MSMP will generate data from bulk RNA sequencing, single cell RNA sequencing (scRNA-seq), chromatin accessibility sequencing (scATAC-seq), spatial transcriptomics, and multi-spectral imaging, among others. The DAC will provide essential expertise and services to translate this raw data into knowledge. More specifically the DAC will be responsible for the following tasks.The DAC will: 1) provide essential analysis pipelines, computational expertise, and data management services in support of the Biological Analysis Core (BAC); 2) incorporate state-of-the-art methods for analysis of data from cutting-edge technologies, as well as integration and visualization of unique data resources generated within the JMN- MSMP as these methods reach maturation; 3) lead the construction of the Atlas itself; and 4) coordinate analysis activities with the other SenNet Centers and the CODCC to standardize pipelines and contribute unique multi-omics and transfer learning expertise. The DAC will provide standardized and rigorous analysis pipelines optimized for the goals of SenNet, and use the pipelines to generate findable, accessible, interoperable, and reusable (FAIR) data.