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SPARC数据资源中心:为自主神经系统领域建立一个资源库。

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community.

作者信息

Osanlouy Mahyar, Bandrowski Anita, de Bono Bernard, Brooks David, Cassarà Antonino M, Christie Richard, Ebrahimi Nazanin, Gillespie Tom, Grethe Jeffrey S, Guercio Leonardo A, Heal Maci, Lin Mabelle, Kuster Niels, Martone Maryann E, Neufeld Esra, Nickerson David P, Soltani Elias G, Tappan Susan, Wagenaar Joost B, Zhuang Katie, Hunter Peter J

机构信息

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Department of Neuroscience, University of California, San Diego, San Diego, CA, United States.

出版信息

Front Physiol. 2021 Jun 24;12:693735. doi: 10.3389/fphys.2021.693735. eCollection 2021.

DOI:10.3389/fphys.2021.693735
PMID:34248680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8265045/
Abstract

The Data and Resource Center (DRC) of the NIH-funded SPARC program is developing databases, connectivity maps, and simulation tools for the mammalian autonomic nervous system. The experimental data and mathematical models supplied to the DRC by the SPARC consortium are curated, annotated and semantically linked via a single knowledgebase. A data portal has been developed that allows discovery of data and models both via semantic search and via an interface that includes Google Map-like 2D flatmaps for displaying connectivity, and 3D anatomical organ scaffolds that provide a common coordinate framework for cross-species comparisons. We discuss examples that illustrate the data pipeline, which includes data upload, curation, segmentation (for image data), registration against the flatmaps and scaffolds, and finally display via the web portal, including the link to freely available online computational facilities that will enable neuromodulation hypotheses to be investigated by the autonomic neuroscience community and device manufacturers.

摘要

美国国立卫生研究院资助的SPARC项目的数据与资源中心(DRC)正在为哺乳动物自主神经系统开发数据库、连接图谱和模拟工具。SPARC联盟提供给DRC的实验数据和数学模型通过单一知识库进行整理、注释和语义链接。已开发出一个数据门户,通过语义搜索以及一个界面来发现数据和模型,该界面包括用于显示连接性的类似谷歌地图的二维平面图,以及为跨物种比较提供通用坐标框架的三维解剖器官支架。我们讨论了说明数据管道的示例,包括数据上传、整理、分割(用于图像数据)、与平面图和支架配准,最后通过门户网站显示,包括指向免费在线计算设施的链接,这些设施将使自主神经科学界和设备制造商能够研究神经调节假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fb1/8265045/45a8b6b5db8a/fphys-12-693735-g0010.jpg
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