MEGU: pathway mapping web-service based on KEGG and SVG.
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/.
Kono
Nobuaki
N
Institute for Advanced Biosciences, Keio University, Fujisawa, Japan.
Arakawa
Kazuharu
K
Tomita
Masaru
M
D050260:Carbohydrate Metabolism; D019295:Computational Biology; D023281:Genomics / Q000706:statistics & numerical data*; D020407:Internet; D040901:Proteomics / Q000706:statistics & numerical data*; D012984:Software