The informatics of a C57BL/6J mouse brain atlas
The informatics of a C57BL/6J mouse brain atlas
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DOI：
10.1385/ni:1:4:397
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发表时间：
2003-12-01
期刊：
影响因子：
3
通讯作者：
Toga, AW
中科院分区：
文献类型：
--
作者：
MacKenzie-Graham, A;Jones, ES;Toga, AW
小鼠图谱项目（MAP）旨在建立一个框架，用于组织和分析由转基因动物增殖产生的大量神经科学数据。酶通过提供比较标准，为理解遗传操作的影响提供了宝贵的帮助。我们使用数字地图集作为信息网络的中心，将成像数据（如结构成像和组织学）与基于文本的数据（如命名，连接和参考文献）相关联。我们使用磁共振显微镜（MRM），经典的组织学和免疫组织化学生成脑体积，并将它们注册到一个共同的和定义的坐标系。为了同时可视化多个数据集并在文本和图像数据之间进行协调，开发了专门设计的查看器。研究人员可以互换地在大脑中导航，无论是基于文本还是基于图像的表示，都可以在移动时自动更新信息。地图集还允许独立输入其他类型的数据，方便检索信息，并直接显示图像。结合集中式服务器，图像和文本数据可以保持最新，并可以减少个人研究人员计算机的负担。一个全面的框架，其中包括许多形式的信息的背景下，解剖成像具有巨大的希望，产生新的见解。地图集和相关工具可在http://www.loni.ucla上找到。edu/MAP.
The Mouse Atlas Project (MAP) aims to produce a framework for organizing and analyzing the large volumes of neuroscientific data produced by the proliferation of genetically modified animals. Atlases provide an invaluable aid in understanding the impact of genetic manipulations by providing a standard for comparison. We use a digital atlas as the hub of an informatics network, correlating imaging data, such as structural imaging and histology, with text-based data, such as nomenclature, connections, and references. We generated brain volumes using magnetic resonance microscopy (MRM), classical histology, and immunohistochemistry and registered them into a common and defined coordinate system. Specially designed viewers were developed in order to visualize multiple datasets simultaneously and to coordinate between textual and image data. Researchers can navigate through the brain interchangeably, in either a text-based or image-based representation that automatically updates information as they move. The atlas also allows the independent entry of other types of data, the facile retrieval of information, and the straight-forward display of images. In conjunction with centralized servers, image and text data can be kept current and can decrease the burden on individual researchers' computers. A comprehensive framework, that encompasses many forms of information in the context of anatomic imaging holds tremendous promise for producing new insights. The atlas and associated tools can be found at http://www.loni.ucla. edu/MAP.