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.