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MEGU: Pathway mapping web-service based on KEGG and SVGNobuaki Kono1, 2, Kazuharu Arakawa1,* and Masaru Tomita1, 2*
1 Institute for Advanced Biosciences, Keio University, Fujisawa, 252-8520, Japan
Abstract 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/
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