WU-SN-TMC Data Analysis Core

WU-SN-TMC数据分析核心

• 批准号: 10376526
• 负责人: Li Ding
• 金额: $ 26.06万
• 依托单位: WASHINGTON UNIVERSITY
• 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/10376526
• 关键词: WU; SN; TMC; Data; Analysis

Data Analysis Core Summary/Abstract Our group has a well-established history of large-scale omics and imaging data management, processing, analysis, and interpretation in the context of consortium projects. We have built, used, and maintained data warehouses and the associated tracking, meta-data, and QC machinery for specimens and raw data and have developed a large number of computational tools for processing, analyzing, and interpreting such data. The primary mission of the Data Analysis Core at the Washington University Cellular Senescence Network Tissue Mapping Center (WU-SN-TMC) will take place along 4 primary dimensions: 1) providing data support to the Biospecimen and Biological Analysis Cores, 2) processing raw assay data from the Biological Analysis Core and marrying these with data from other SN-TMCs using cutting-edge informatics pipeline and integrated approaches, 3) applying processed data to build organ-specific cellular senescence atlases, with a focus on differences/evolution among demographic groups (especially by age) and within the individual (between organs and longitudinally), and 4) finally managing delivery of data and research products to the Consortium Organization and Data Coordinating Center (CODCC) and coordinating further activities toward amalgamation of findings across the SenNet project. Data Analysis Core will promote cooperation through development of common formats and interoperable tools for advanced omics and imaging technologies within the SenNet program, harmonize tools in larger, scalable, user-friendly pipelines and distribute tools to the larger scientific community under open-source licensing, develop senescence signatures and models using integrated data, and investigate how nascent technologies will be brought into the research infrastructure to improve processes and results for senescence research. In conclusion, Data Analysis Core will be a crucial cog within WU-SN- TMC and serve as a strong link between WU-SN-TMC, CODCC, and other TMCs within SenNet.

数据分析核心摘要/摘要 我们的团队在大规模组学和成像数据管理、处理、 在联合体项目的背景下进行分析和解释。我们构建、使用和维护数据 仓库以及相关的样本和原始数据跟踪、元数据和质量控制机器，并拥有 开发了大量的计算工具来处理、分析和解释这些数据。这 华盛顿大学细胞衰老网络组织数据分析核心的主要任务 制图中心 (WU-SN-TMC) 将沿着 4 个主要维度进行：1) 为 生物样本和生物分析核心，2) 处理来自生物分析核心的原始检测数据 并使用尖端信息学管道和集成技术将这些数据与其他 SN-TMC 的数据结合起来 方法，3）应用处理后的数据构建器官特异性细胞衰老图谱，重点是 人口群体之间（尤其是年龄）和个人内部（之间）的差异/演变 机构和纵向），以及 4）最终管理向联盟提供数据和研究产品 组织和数据协调中心（CODCC）并协调进一步的合并活动 SenNet 项目的调查结果。数据分析核心将通过开发促进合作 SenNet 内高级组学和成像技术的通用格式和可互操作工具 计划，协调更大、可扩展、用户友好的管道中的工具，并将工具分发给更大的科学部门 在开源许可下的社区，使用集成数据开发衰老特征和模型， 并研究如何将新兴技术引入研究基础设施以改进流程 以及衰老研究的结果。总之，数据分析核心将成为 WU-SN 中的关键齿轮—— TMC 并充当 WU-SN-TMC、CODCC 和 SenNet 内其他 TMC 之间的强大纽带。