NeuroLex.org: an online framework for neuroscience knowledge.
NeuroLex.org: an online framework for neuroscience knowledge.
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DOI：
10.3389/fninf.2013.00018
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发表时间：
2013
影响因子：
3.5
通讯作者：
Martone ME
中科院分区：
文献类型：
--
作者：
Larson SD;Martone ME
以数字方式传输、组织和查询信息的能力带来了如何最好地利用这种能力来促进科学研究的挑战。今天，很少有信息系统能够为神经科学的复杂问题提供详细的答案，这些问题涉及多个空间尺度，跨越神经系统不同部分的边界，如分子、细胞部件、细胞、电路、系统和组织。因此，调查人员仍然主要在日益密集的文献文章集中寻找他们的问题的答案，每一篇文章都必须单独消化。如果搜索为回答神经科学问题而构建的知识库更容易，这样的系统将能够在几秒钟内回答问题，否则需要数小时的文献查阅。在本文中，我们介绍了NeuroLex.org，一个基于维基的网站和知识管理系统。其目标是将神经生物学知识纳入一个框架，使神经科学家能够审查神经科学的概念，重点是对神经系统部分的多尺度描述，将他们的理解与其他科学家的理解结合起来，将它们与神经科学中的重要概念的数据源和描述联系起来，并揭示仍然存在争议或缺失的部分。到目前为止，该网站正在追踪神经生物学中约25,000个独特的神经解剖学部分和概念，涵盖实验技术、行为范式、解剖命名法、基因、蛋白质和分子。在这里，我们展示了如何重复使用神经系统中这些解剖部分的信息结构来回答多个神经科学问题，例如显示所有聚集在NeuroLex中的已知GABA能神经元，或显示NeuroLex中已知的所有大脑区域将轴突发送到小脑皮质。
The ability to transmit, organize, and query information digitally has brought with it the challenge of how to best use this power to facilitate scientific inquiry. Today, few information systems are able to provide detailed answers to complex questions about neuroscience that account for multiple spatial scales, and which cross the boundaries of diverse parts of the nervous system such as molecules, cellular parts, cells, circuits, systems and tissues. As a result, investigators still primarily seek answers to their questions in an increasingly densely populated collection of articles in the literature, each of which must be digested individually. If it were easier to search a knowledge base that was structured to answer neuroscience questions, such a system would enable questions to be answered in seconds that would otherwise require hours of literature review. In this article, we describe NeuroLex.org, a wiki-based website and knowledge management system. Its goal is to bring neurobiological knowledge into a framework that allows neuroscientists to review the concepts of neuroscience, with an emphasis on multiscale descriptions of the parts of nervous systems, aggregate their understanding with that of other scientists, link them to data sources and descriptions of important concepts in neuroscience, and expose parts that are still controversial or missing. To date, the site is tracking ~25,000 unique neuroanatomical parts and concepts in neurobiology spanning experimental techniques, behavioral paradigms, anatomical nomenclature, genes, proteins and molecules. Here we show how the structuring of information about these anatomical parts in the nervous system can be reused to answer multiple neuroscience questions, such as displaying all known GABAergic neurons aggregated in NeuroLex or displaying all brain regions that are known within NeuroLex to send axons into the cerebellar cortex.
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影响因子：
34.7
作者：
Ascoli, Giorgio A.;Alonso-Nanclares, Lidia;Anderson, Stewart A.;Barrionuevo, German;Benavides-Piccione, Ruth;Burkhalter, Andreas;Buzsaki, Gyoergy;Cauli, Bruno;DeFelipe, Javier;Fairen, Alfonso;Feldmeyer, Dirk;Fishell, Gord;Fregnac, Yves;Freund, Tamas F.;Gardner, Daniel;Gardner, Esther P.;Goldberg, Jesse H.;Helmstaedter, Moritz;Hestrin, Shaul;Karube, Fuyuki;Kisvarday, Zoltan F.;Lambolez, Bertrand;Lewis, David A.;Marin, Oscar;Markram, Henry;Munoz, Alberto;Packer, Adam;Petersen, Carl C. H.;Rockland, Kathleen S.;Rossier, Jean;Rudy, Bernardo;Somogyi, Peter;Staiger, Jochen F.;Tamas, Gabor;Thomson, Alex M.;Toledo-Rodriguez, Maria;Wang, Yun;West, David C.;Yuste, Rafael
通讯作者：
Yuste, Rafael
一种用于基因功能社区注释的基因Wiki。
影响因子：
9.8
作者：
Huss, Jon W., III;Orozco, Camilo;Goodale, James;Wu, Chunlei;Batalov, Serge;Vickers, Tim J.;Valafar, Faramarz;Su, Andrew I.
通讯作者：
Su, Andrew I.
影响因子：
3
作者：
Gardner, Daniel;Akil, Huda;Ascoli, Giorgio A.;Bowden, Douglas M.;Bug, William;Donohue, Duncan E.;Goldberg, David H.;Grafstein, Bernice;Grethe, Jeffrey S.;Gupta, Amarnath;Halavi, Maryam;Kennedy, David N.;Marenco, Luis;Martone, Maryann E.;Miller, Perry L.;Mueller, Hans-Michael;Robert, Adrian;Shepherd, Gordon M.;Sternberg, Paul W.;Van Essen, David C.;Williams, Robert W.
通讯作者：
Williams, Robert W.
影响因子：
3.5
作者：
Hamilton DJ;Shepherd GM;Martone ME;Ascoli GA
通讯作者：
Ascoli GA
影响因子：
5.8
作者：
Day-Richter, John;Harris, Midori A.;Haendel, Melissa
通讯作者：
Haendel, Melissa