Data Analysis Core

数据分析核心

• 批准号: 10376630
• 负责人: GEORGE A KUCHEL
• 金额: $ 38.3万
• 依托单位: UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10376630
• 关键词: 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.

KAPP-Sen 数据分析核心将策划、处理、共享和分析丰富的表达 以及来自 KAPP-Sen 项目的肾脏、脂肪、胰腺和胎盘组织的成像数据集。 我们的团队（由Ucar博士和庄博士领导）在管理、 复杂的高分辨率细胞数据集的集成和解释，这将使我们能够 集中核心团队的产出。 核心将负责数据集的处理、分析和集成，包括 衰老图的构建。 数据分析核心将与生物样本核心和生物分析核心密切互动 分析核心系统地接收、评估、组织和共享来自贡献者的数据 网站确保公平（可查找性、可访问性、互操作性和可重用性）原则 整个项目。将开发管道和分析方法，重点是 工作流程的可重复性和结果的稳健性。 我们的团队在管理、整合和解释方面拥有广泛而丰富的专业知识 复杂的高分辨率细胞数据集，这将使我们能够集中核心的输出 团队。这种集中化将使 KAPP-Sen 生成的数据的价值最大化， 整个 SenNet 以及更广泛的研究社区。