Data Analysis Core

数据分析核心

• 批准号: 10708874
• 负责人: Sashank K Reddy
• 金额: $ 25万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-26 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10708874
• 关键词: 3-Dimensional; ATAC-seq; Adherence; Adopted; Age; Aging; Atlases; Benchmarking; Biological; Cells; Chromatin; Collaborations; Collection; Computer Analysis; Computer software; Computing Methodologies; Data; Data Analyses; Data Set; Ensure; Experimental Designs; FAIR principles; Generations; Genetic Transcription; Genomics; Goals; Human; Human BioMolecular Atlas Program; Human body; Image; Imaging technology; Individual; Infrastructure; Lead; Learning; Location; Maps; Meta-Analysis; Methods; Molecular; Molecular Profiling; Multiomic Data; Organ; Proteomics; Protocols documentation; Race; Reproducibility; Research; Resolution; Resource Sharing; Sex Differences; Skin; Standardization; Techniques; Technology; Three-Dimensional Imaging; Tissue imaging; Tissues; Validation; age group; analysis pipeline; cell type; computing resources; data harmonization; data integration; data sharing; data standards; data submission; data wrangling; epigenomics; genomic data; high throughput analysis; human tissue; imaging modality; imaging platform; interoperability; meetings; multidimensional data; multiple omics; racial difference; racial population; senescence; sex; single-cell RNA sequencing; synergism; tissue mapping; transcriptomics; transfer learning

Project Summary, Data Analysis Core The Data Analysis Core provides end-to-end experimental and computational expertise: initial experimental design and power studies, ongoing data generation and analysis, and ultimate data deposition and sharing. The Data Analysis Core will support high-dimensional data generation and analysis for the Organ Specific Project, including multi-omics data integration methods at distinct biological scales. This Core will collaborate closely with the HuBMAP HIVE to harmonize data and pipelines to enable meta-analyses across tissues. Core Leaders will participate in the monthly Center Executive Committee meetings with the Organ Specific Project Lead and Consortium meetings to ensure ample experimental support and computational resources for new research directions and collaborations with HuBMAP. The Core will have a designated Project Manager and Data Manager to assist with data standards and harmonization, data validation, data wrangling, and overall data deposition, data and software sharing, and genomic data sharing with the HIVE. In summary, the Data Analysis Core will support the overall research objectives by providing robust, reproducible experimental protocols and computational methods to characterize the impact of skin location, sex, race, and aging on the cellular and molecular changes to skin; to analyze spatial and temporal data to infer interactions and crosstalk between cell types; and to integrate our atlas of three-dimensional multi-omics skin datasets with the HIVE to promote cross- tissue analyses in the HuBMAP Consortium.

项目摘要，数据分析核心 数据分析核心提供端到端的实验和计算专业知识：初始实验 设计和功率研究，正在进行的数据生成和分析以及最终数据沉积和共享。这 数据分析核心将支持器官特定项目的高维数据生成和分析， 包括不同生物学量表的多媒体数据整合方法。这个核心将与 Hubmap Hive可以协调数据和管道，以使跨组织的荟萃分析。核心领导者会 参加每月与器官特定项目负责人的执行委员会会议 财团会议，以确保新研究的充足实验支持和计算资源 与HubMap的指示和合作。核心将拥有指定的项目经理和数据经理 为了协助数据标准和协调，数据验证，数据争吵和整体数据沉积， 数据和软件共享以及与Hive共享基因组数据。总之，数据分析核心将 通过提供强大的可重复实验协议来支持总体研究目标和 计算方法来表征皮肤位置，性别，种族和衰老对细胞的影响的影响 皮肤分子变化；分析空间和时间数据以推断细胞之间的相互作用和串扰 类型；并将我们三维多摩学皮肤数据集的地图集与蜂巢融合在一起，以促进交叉 Hubmap联盟中的组织分析。