Data Analysis Core

数据分析核心

• 批准号: 10531003
• 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/10531003
• 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; 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; base; cell type; cellular imaging; computing resources; data harmonization; data integration; data pipeline; data sharing; data standards; data submission; data wrangling; design; epigenomics; experimental study; genomic data; high throughput analysis; human tissue; imaging modality; imaging platform; interoperability; meetings; multidimensional data; multiple omics; racial difference; 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： 设计和动力研究、持续的数据生成和分析以及最终的数据沉积和共享。的 数据分析核心将支持器官特异性项目的高维数据生成和分析， 包括在不同生物尺度上的多组学数据整合方法。该核心将与 HuBMAP HIVE协调数据和管道，以实现跨组织的荟萃分析。核心领导人将 与器官特定项目负责人一起参加每月的中心执行委员会会议， 联合会会议，确保为新研究提供充足的实验支持和计算资源 与HuBMAP的合作和合作。核心将有指定的项目经理和数据经理 协助数据标准和协调、数据验证、数据争论和总体数据存放， 数据和软件共享，以及与HIVE共享基因组数据。数据分析核心将 通过提供可靠的、可重复的实验方案来支持总体研究目标， 计算方法来表征皮肤位置、性别、种族和老化对细胞和 皮肤的分子变化;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;并将我们的三维多组学皮肤数据集图集与HIVE整合，以促进交叉 HuBMAP联盟的组织分析。