Data Analysis Core

数据分析核心

• 批准号: 10556891
• 负责人: Elana Judith Fertig
• 金额: $ 21.62万
• 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: 2022-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10556891
• 关键词: Aging; Atlases; Biological; Biological Assay; Biological Markers; Cataloging; Cell Aging; Cells; Chromatin; Collaborations; Collection; Communities; Computer Analysis; Computer software; Computing Methodologies; Data; Data Analyses; Data Set; Environment; FAIR principles; Female; Genetic Models; Goals; Heterogeneity; Human; Infrastructure; Lead; Longevity; Maps; Methods; Modality; Modeling; Molecular; Multiomic Data; Mus; Phenotype; Process; Regulation; Reporter; Reproducibility; Research Personnel; Resources; Services; Small Nuclear RNA; Standardization; System; Technology; Tissues; Translating; Visualization; analysis pipeline; cell age; computational pipelines; data format; data integration; data management; data resource; data reuse; data sharing; data to knowledge; genetic signature; high throughput analysis; learning strategy; machine learning classification; male; mouse genetics; multiple omics; novel; programs; senescence; single cell analysis; single cell technology; single-cell RNA sequencing; spectrograph; synergism; tissue mapping; transcriptome sequencing; transcriptomics; transfer learning

The Data Analysis Core (DAC) will centralize computational analysis for the JHU-Mayo-NIA Murine Senescence Mapping Program (JMN-MSMP) to generate integrated molecular and spatial maps of cellular senescence in aging murine tissues. The JMN-MSMP will generate data from bulk RNA sequencing, single cell RNA sequencing (scRNA-seq), chromatin accessibility sequencing (scATAC-seq), spatial transcriptomics, and multi-spectral imaging, among others. The DAC will provide essential expertise and services to translate this raw data into knowledge. More specifically the DAC will be responsible for the following tasks.The DAC will: 1) provide essential analysis pipelines, computational expertise, and data management services in support of the Biological Analysis Core (BAC); 2) incorporate state-of-the-art methods for analysis of data from cutting-edge technologies, as well as integration and visualization of unique data resources generated within the JMN- MSMP as these methods reach maturation; 3) lead the construction of the Atlas itself; and 4) coordinate analysis activities with the other SenNet Centers and the CODCC to standardize pipelines and contribute unique multi-omics and transfer learning expertise. The DAC will provide standardized and rigorous analysis pipelines optimized for the goals of SenNet, and use the pipelines to generate findable, accessible, interoperable, and reusable (FAIR) data.

数据分析核心（DAC）将集中JHU-Mayo-NIA小鼠的计算分析 衰老绘图程序（JMN-MSMP），以生成细胞衰老的综合分子和空间图。 衰老小鼠组织中的衰老。JMN-MSMP将从批量RNA测序、单细胞测序和细胞培养中生成数据。 RNA测序（scRNA-seq）、染色质可及性测序（scATAC-seq）、空间转录组学和 多光谱成像等等。发展援助委员会将提供必要的专门知识和服务， 原始数据转化为知识。具体而言，发展谘询委员会将负责以下工作： 提供必要的分析管道，计算专业知识和数据管理服务，以支持 生物分析核心（BAC）; 2）采用最先进的方法分析来自尖端技术的数据 技术，以及JMN内生成的独特数据资源的集成和可视化- 随着这些方法的成熟，MSMP; 3）领导地图集本身的建设; 4）协调 与其他SenNet中心和CODCC一起开展分析活动，以标准化管道并为 独特的多组学和迁移学习专业知识。发援会将提供标准化和严格的分析 为SenNet目标优化的管道，并使用管道生成可查找，可访问， 可互操作和可重用（FAIR）数据。