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.

项目总结，数据分析核心