Kono Nobuaki, Arakawa Kazuharu, Tomita Masaru
Institute for Advanced Biosciences, Keio University, Fujisawa, Japan.
In Silico Biol. 2006;6(6):621-5.
Scientific visualization is a key technology to enhance our understanding of huge masses of omics data, especially for cell-wide, high-throughput measurements of the physiological networks. We have developed a web application that visualizes complex omics data of multiple layers simultaneously, including transcriptome, proteome, and metabolome, onto an integrated pathway diagram derived by connecting the individual KEGG pathway maps; the mapped images are generated in Scalable Vector Graphics for easy editing by hand or with computer programs or drawing software. The web application is available at http://megu.iab.keio.ac.jp/.
科学可视化是增强我们对大量组学数据理解的关键技术,特别是对于生理网络的全细胞、高通量测量。我们开发了一个网络应用程序,可将多层复杂的组学数据(包括转录组、蛋白质组和代谢组)同时可视化到通过连接各个KEGG通路图得出的综合通路图上;映射图像以可缩放矢量图形生成,便于手动编辑或使用计算机程序或绘图软件进行编辑。该网络应用程序可在http://megu.iab.keio.ac.jp/获取。