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Multi-Scale Multi-Modality High Resolution Mapping of the Adult Human Lung

成人肺的多尺度多模态高分辨率测绘

基本信息

批准号：
10928968
负责人：
GLORIA S PRYHUBER
金额：
$ 15.29万
依托单位：
UNIVERSITY OF ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10928968
关键词：
3-Dimensional Adult Anatomy Atlases Cells Collection Consensus Data Data Analyses Data Collection Data Set Data Storage and Retrieval Environment Equipment FAIR principles Health Insurance Portability and Accountability Act High Performance Computing Human Human BioMolecular Atlas Program Human Resources Image Ingestion Institution Link Location Lung Maps Metadata Modality Molecular Names Ontology Organ Output Positioning Attribute Procedures Process Production Protocols documentation Reproducibility Resolution Resources Role Secure Signal Transduction Structure of parenchyma of lung Systems Biology Universities Work cluster computing computerized data processing data format data ingestion data integration data quality data sharing experience extracellular indexing interoperability multi-scale atlas multimodality novel open source tool programs spatial relationship statistical and machine learning tissue mapping tool virtual machine

项目摘要

Project Summary/Abstract Data Analysis Core Synthesis of the Multimodality High Resolution 3-D Atlas of Human Lung The Data Analysis Core (DAC) is responsible for all aspects of data and metadata management, processing, analysis, mapping, and sharing for this Tissue Mapping Center (TMC) and of the Organ Specific Project focused on the adult healthy human lung (i.e., Lung Specific Project or LSP). We will take a long view of an Atlas, as a collection of 2D and 3D maps containing images, tabular data, facts about multiple locations at varying resolution and indexes of named objects keyed to coordinates of a locational grid analogous to latitude and longitude, to cartographically present the whole range of salient features of the human Lung. The DAC will support the TMC in these activities by providing a protected environment for data storage and computation, and by developing robust reproducible, reusable, and scalable computational workflows thus enabling the integration of data types into 3D maps for the purpose of creating an interactive and queryable biomolecular human atlas. The DAC is an essential part of the TMC in its objectives to produce and deliver to the HIVE extensive sets of high-resolution spatial mappings of molecular entities, using open formats, and within the context of the cellular and extracellular organization of the Lung. The DAC will accomplish its role through the following Specific Aims: 1) Ingest and process TMC datasets, 2) Analyze datasets in support of generating multiscale, multiparameter lung tissue maps, tabular data, and annotations, 3) Construct 2D and 3D lung tissue maps with integrated datasets and 4) Coordinate planning and atlas production with the HuBMAP Consortium.

项目总结/文摘