MEGU: Pathway mapping web-service based on KEGG and SVG

Research output: Contribution to journalArticle

10 Citations (Scopus)

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/.

Original languageEnglish
Pages (from-to)621-625
Number of pages5
JournalIn Silico Biology
Volume6
Issue number6
Publication statusPublished - 2006 Dec 1

Keywords

  • KEGG
  • Metabolism
  • Omics
  • Pathway visualization
  • Web-service

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Computational Mathematics
  • Computational Theory and Mathematics

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