DISTRIBUTED MOUSE BRAIN SPATIAL DATABASE:AN ARCHITECTURE FOR BRAIN PHENOTYPE IMAGE MINING
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.
Mouse brain atlas Spatial database Web 2.0 Neuroinformatics
Huiqun Wu Xiaodong Liu Xingyun Geng Li Wang Yuanpeng Zhang Kui Jiang Guomin Zhou Jiancheng Dong
Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China;Depar Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, China Department of Anatomy, Histology and Embryology; Shanghai Medical College of Fudan University; Shang
国际会议
The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))
北京
英文
1-6
2012-10-24（万方平台首次上网日期，不代表论文的发表时间）