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首页> 外文会议>Asia Pacific Association for Medical Informatics conference >DISTRIBUTED MOUSE BRAIN SPATIAL DATABASE: AN ARCHITECTURE FOR BRAIN PHENOTYPE IMAGE MINING
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DISTRIBUTED MOUSE BRAIN SPATIAL DATABASE: AN ARCHITECTURE FOR BRAIN PHENOTYPE IMAGE MINING

机译：分布式鼠标脑空间数据库：脑表型图像挖掘的架构

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Bioinformatics techniques provide solutions for large-scale biological gene text data mining, thus accelerating the biomedical science development, while it’s still in its infancy for brain image information utilization. The imaging mining on the brain offer the promise for understanding its topology networks, the function of its complex anatomy, thus exploring previously unexplored avenues in neuroscience. Based on the Web2.0 design idea, this study utilized ArcGIS software to establish the rat brain atlas, and uploaded digitalized rat brain atlas to the spatial database in ArcGIS Server, then published it as web pages which could be visited through web browser in a distributed way. Researchers could register and login in their account to upload and share their experimental mouse brain tissue section images. Furthermore, they could map the positive area of brain to share the phenotype data. The spatial informatics tools in ArcGIS could be further used to analyze the certain phenotype properties with the relevant symptoms to aid neuroscience researcher for their investigations.
机译：生物信息学技术提供了大规模的生物基因文本数据挖掘解决方案，从而加速了生物医学科学的发展，虽然它仍处于起步阶段大脑图像信息利用。大脑上的成像挖掘为理解其拓扑网络，其复杂解剖学的功能提供了承诺，从而探讨了以前在神经科学中的未开发的途径。基于Web2.0设计理念，本研究利用ArcGIS软件在ArcGIS Server中将数字化RAT大鼠地图集建立，并将数字化RAT大脑地图上传到空间数据库，然后将其发布为可以通过Web浏览器访问的网页分布式方式。研究人员可以在其帐户中注册和登录以上传并分享其实验小鼠脑组织部分图像。此外，它们可以映射大脑的正区域以共享表型数据。 ArcGIS中的空间信息学工具可以进一步用于分析某些表型特性，以援助神经科学研究员进行调查。

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