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Efficient metadata mining of web-accessible neural morphologies
Progress in Biophysics and Molecular Biology ( IF 3.2 ) Pub Date : 2021-05-19 , DOI: 10.1016/j.pbiomolbio.2021.05.005
Masood A Akram 1 , Bengt Ljungquist 1 , Giorgio A Ascoli 1
Affiliation  

Advancements in neuroscience research have led to steadily accelerating data production and sharing. The online community repository of neural reconstructions NeuroMorpho.Org grew from fewer than 1000 digitally traced neurons in 2006 to more than 140,000 cells today, including glia that now constitute 10.1% of the content. Every reconstruction consists of a detailed 3D representation of branch geometry and connectivity in a standardized format, from which a collection of morphometric features is extracted and stored. Moreover, each entry in the database is accompanied by rich metadata annotation describing the animal subject, anatomy, and experimental details. The rapid expansion of this resource in the past decade was accompanied by a parallel rise in the complexity of the available information, creating both opportunities and challenges for knowledge mining. Here, we introduce a new summary reporting functionality, allowing NeuroMorpho.Org users to efficiently download digests of metadata and morphometrics from multiple groups of similar cells for further analysis. We demonstrate the capabilities of the tool for both glia and neurons and present an illustrative statistical analysis of the resulting data.



中文翻译:

网络可访问神经形态的高效元数据挖掘

神经科学研究的进步导致数据生产和共享稳步加速。神经重建在线社区存储库 NeuroMorpho.Org 从 2006 年的不到 1000 个数字追踪神经元发展到如今的 140,000 多个细胞,其中包括现在占内容 10.1% 的胶质细胞。每个重建都包含一个详细的 3D 分支几何表示和标准化格式的连通性,从中提取和存储形态学特征的集合。此外,数据库中的每个条目都伴随着丰富的元数据注释,描述了动物主题、解剖结构和实验细节。在过去十年中,这一资源的迅速扩张伴随着可用信息复杂性的平行上升,为知识挖掘创造机遇和挑战。在这里,我们介绍一个新的摘要报告功能,允许 NeuroMorpho.Org 用户有效地从多组相似细胞中下载元数据和形态计量学的摘要,以供进一步分析。我们展示了该工具对胶质细胞和神经元的功能,并对结果数据进行了说明性统计分析。

更新日期:2021-05-19
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