WU-SN-TMC Data Analysis Core

WU-SN-TMC数据分析核心

• 批准号: 10685424
• 负责人: Li Ding
• 金额: $ 22.19万
• 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/10685424
• 关键词: Age; Analysis of Variance; Anatomy; Atlases; Back; Biological; Biological Assay; Bone Marrow; Breast; Breeding; Categories; Cell Aging; Cells; Chromatin; Colon; Communities; DNA; Data; Data Analyses; Data Commons; Data Coordinating Center; Development; Dimensions; Evolution; FAIR principles; Generations; Genome; Goals; Heterogeneity; Image; Imaging Techniques; Imaging technology; Individual; Informatics; Intake; Learning; Licensing; Light; Link; Liver; Machine Learning; Maps; Metadata; Methods; Microscopy; Mission; Modality; Modeling; Molecular; Oncogenes; Organ; Philosophy; Population; Procedures; Process; Property; Proteomics; Publishing; Recording of previous events; Research; Research Infrastructure; Running; Specimen; System; Technology; The Cancer Genome Atlas; Time; Tissues; Tumor Suppressor Proteins; Universities; Visualization software; Washington; age group; analytical tool; computerized data processing; computerized tools; data analysis pipeline; data format; data harmonization; data integration; data management; data sharing; data standards; data warehouse; demographics; experience; insight; interoperability; large scale data; open data; open source; process improvement; programs; public database; senescence; single nucleus RNA-sequencing; statistics; success; tissue mapping; tool; transcriptome sequencing; transcriptomics; user-friendly

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 我们的小组拥有大规模的OMIC和成像数据管理，处理， 分析和在财团项目的背景下进行解释。我们已经构建，使用和维护数据 仓库和相关的跟踪，元数据和QC机械，用于标本和原始数据，并具有 开发了许多用于处理，分析和解释此类数据的计算工具。这 华盛顿大学细胞衰老网络组织的数据分析核心的主要任务 映射中心（WU-SN-TMC）将沿4个主要维度进行：1） 生物测量和生物分析核心，2）从生物分析核心处理原始测定数据 并使用尖端信息管道将这些数据与其他SN-TMC的数据结合在一起并集成 方法，3）应用处理的数据来构建器官特异性的细胞衰老图谱，重点是 人口群体（尤其是按年龄）和个人之间的差异/演变（在 器官和纵向），以及4）最终将数据和研究产品交付给财团 组织和数据协调中心（CODCC），并协调与合并的进一步活动 Sennet项目的发现。数据分析核心将通过开发来促进合作 sennet中高级OMIC和成像技术的常见格式和可互操作工具 程序，在更大，可扩展，用户友好的管道中协调工具，并将工具分配给更大的科学 在开源许可下的社区，使用综合数据，开发衰老签名和模型， 并研究新生技术将如何进入研究基础架构以改善流程 和衰老研究的结果。总之，数据分析核心将是Wu-Sn-内的至关重要的齿轮 TMC并充当Sennet中Wu-SN-TMC，CODCC和其他TMC之间的牢固联系。