Data Analysis Core

The KAPP-Sen Data Analysis core will curate, process, share, and analyze the rich expression and imaging datasets from the KAPP-Sen projects on kidney, fat, pancreas, and placenta tissues. Our team (led by Drs. Ucar and Chuang) has broad and extensive expertise in management, integration, and interpretation of complex high-resolution cellular datasets which will allow us to centralize the output of the core teams. The core will be in charge of processing of datasets, analyses and integration, including the construction of senescence maps. The Data Analysis Core will interact closely with the Biospecimen Core and the Biological Analysis Core to systematically receive, assess, organize, and share data from the contributing sites to ensure FAIR (findability, accessibility, interoperability, and reusability) principles throughout this project. Pipelines and analysis methods will be developed with a focus on reproducibility of workflows and robustness of results. Our team has broad and extensive expertise in management, integration, and interpretation of complex high-resolution cellular datasets which will allow us to centralize the output of the core teams. This centralization will maximize the value of the data generated for the KAPP-Sen, for the overall SenNet, and for the broader research community.