Data Analysis Core

数据分析核心

基本信息

批准号：
10701912
负责人：
GEORGE A KUCHEL
金额：
$ 33.88万
依托单位：
UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
依托单位国家：
美国
项目类别：
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/10701912
关键词：
Address Affect Age Aging Atlases Benchmarking Biological Biological Markers Cells Charge Classification Clinical Data Collaborations Common Data Element Communities Complement Complex Computer Analysis Computing Methodologies Cytometry Data Data Analyses Data Coordinating Center Data Set Development Ensure Evaluation FAIR principles Fatty acid glycerol esters Genomics Heterogeneity Histopathology Image Individual Kidney Lead Leadership Linear Models Maps Methods Modality Output Pancreas Pathway Analysis Patients Pattern Placenta Policies Population Procedures Process Proteins Proteomics Quality Control RLK5-associated protein phosphatase Reproducibility Research Resolution Sampling Secure Site Standardization Testing Tissues United States National Institutes of Health analysis pipeline computerized data processing data integration data management data sharing data sharing networks deep learning design high dimensionality imaging Segmentation neural network prospective senescence single nucleus RNA-sequencing single-cell RNA sequencing spatial integration tissue mapping transcriptome transcriptomics

项目摘要

The KAPP-Sen Data Analysis core will curate, process, share, and analyze the rich expression and imaging datasets from the KAPP-Sen projects on kidney, fat, pancreas, and placenta tissues. Our team (led by Drs. Ucar and Chuang) has broad and extensive expertise in management, integration, and interpretation of complex high-resolution cellular datasets which will allow us to centralize the output of the core teams. The core will be in charge of processing of datasets, analyses and integration, including the construction of senescence maps. The Data Analysis Core will interact closely with the Biospecimen Core and the Biological Analysis Core to systematically receive, assess, organize, and share data from the contributing sites to ensure FAIR (findability, accessibility, interoperability, and reusability) principles throughout this project. Pipelines and analysis methods will be developed with a focus on reproducibility of workflows and robustness of results. Our team has broad and extensive expertise in management, integration, and interpretation of complex high-resolution cellular datasets which will allow us to centralize the output of the core teams. This centralization will maximize the value of the data generated for the KAPP-Sen, for the overall SenNet, and for the broader research community.

KAPP-SEN数据分析核心将策划，处理，共享和分析富表达以及来自肾脏，脂肪，胰腺和胎盘组织的Kapp-Sen项目的成像数据集。我们的团队（由Ucar和Chuang博士领导）在管理方面拥有广泛而广泛的专业知识，集成和解释复杂的高分辨率蜂窝数据集，这将使我们能够集中核心团队的产出。核心将负责处理数据集，分析和集成，包括衰老图的构建。数据分析核心将与生物测得核紧密相互作用和生物学分析核心以系统地接收，评估，组织和共享来自贡献的数据确保公平（可访问性，可访问性，互操作性和可重复性）原理的站点整个项目。将开发管道和分析方法，重点工作流的可重复性和结果的鲁棒性。我们的团队在管理，整合和解释方面拥有广泛而广泛的专业知识复杂的高分辨率蜂窝数据集，这将使我们能够集中核心的输出团队。此集中化将最大化Kapp-Sen生成的数据的值整体sennet和更广泛的研究社区。