An ontological approach to describing neurons and their relationships.
An ontological approach to describing neurons and their relationships.
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DOI：
10.3389/fninf.2012.00015
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发表时间：
2012
影响因子：
3.5
通讯作者：
Ascoli GA
中科院分区：
文献类型：
--
作者：
Hamilton DJ;Shepherd GM;Martone ME;Ascoli GA
神经科学可能是所有生命科学中信息最丰富的学科之一，它的发展需要基本的框架来组织由研究界产生的大量数据，以促进新的见解和综合的理解。自Cajal以来，神经元仍然是神经系统的基本单位，然而，即使有了信息技术的爆炸式发展，我们仍然很少有综合或系统的策略来聚集细胞水平的知识。细胞名称的多样性和对神经元类型定义标准的缺乏共识阻碍了这一目标的进展。然而，通过像神经科学信息框架（NIF）和国际神经信息学协调设施（INCF）这样的伞式项目，我们有机会提出并实施一个信息学基础设施，通过神经细胞的标准术语和数据库（神经元注册表）建立通用的工具和方法来描述神经元，这些描述可以存储和比较。本文概述了该问题，并概述了利用本体论表征的解决方案。基于说明性实施示例，我们还讨论了研究界采用共识标准的必要性，以及对未来发展的考虑。一个可扩展的神经元类型存储库将为研究人员提供一个对神经科学进步有重大贡献的资源。
The advancement of neuroscience, perhaps one of the most information rich disciplines of all the life sciences, requires basic frameworks for organizing the vast amounts of data generated by the research community to promote novel insights and integrated understanding. Since Cajal, the neuron remains a fundamental unit of the nervous system, yet even with the explosion of information technology, we still have few comprehensive or systematic strategies for aggregating cell-level knowledge. Progress toward this goal is hampered by the multiplicity of names for cells and by lack of a consensus on the criteria for defining neuron types. However, through umbrella projects like the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordinating Facility (INCF), we have the opportunity to propose and implement an informatics infrastructure for establishing common tools and approaches to describe neurons through a standard terminology for nerve cells and a database (a Neuron Registry) where these descriptions can be deposited and compared. This article provides an overview of the problem and outlines a solution approach utilizing ontological characterizations. Based on illustrative implementation examples, we also discuss the need for consensus criteria to be adopted by the research community, and considerations on future developments. A scalable repository of neuron types will provide researchers with a resource that materially contributes to the advancement of neuroscience.
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影响因子：
25
作者：
Toni, Nicolas;Teng, E. Matthew;Gage, Fred H.
通讯作者：
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影响因子：
2.5
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Yuste, Rafael
影响因子：
3.2
作者：
Decker, S;Melnik, S;Horrocks, I
通讯作者：
Horrocks, I