e-neuroscience: challenges and triumphs in integrating distributed data from molecules to brains
e-neuroscience: challenges and triumphs in integrating distributed data from molecules to brains
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DOI：
10.1038/nn1229
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发表时间：
2004-05-01
影响因子：
25
通讯作者：
Ellisman, MH
中科院分区：
文献类型：
--
作者：
Martone, ME;Gupta, A;Ellisman, MH
从磁共振成像（MRI）到显微镜下特定大分子的定位，成像一直是过去十年神经信息学努力背后的驱动力之一。已经创建了许多可通过网络访问的资源，从简单的数据集合到高度结构化的数据库。尽管在使神经科学适应神经信息学支持者所设想的新电子论坛方面仍然存在许多挑战，但这些努力已经成功地将跨多个来源的有效数据共享和数据集成的要求正式化。在这个角度来看，我们讨论了空间系统和本体的神经科学数据的正确建模和使用大规模的数据集成工作，生物医学信息学研究网络（BIRN）的重要性。
Imaging, from magnetic resonance imaging (MRI) to localization of specific macromolecules by microscopies, has been one of the driving forces behind neuroinformatics efforts of the past decade. Many web-accessible resources have been created, ranging from simple data collections to highly structured databases. Although many challenges remain in adapting neuroscience to the new electronic forum envisioned by neuroinformatics proponents, these efforts have succeeded in formalizing the requirements for effective data sharing and data integration across multiple sources. In this perspective, we discuss the importance of spatial systems and ontologies for proper modeling of neuroscience data and their use in a large-scale data integration effort, the Biomedical Informatics Research Network (BIRN).