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

Research output: Contribution to journalArticle

9 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

Fingerprint

Web Application
Web services
Web Services
Drawing (graphics)
Pathway
Software
Scientific Visualization
Data visualization
Metabolome
Proteome
Transcriptome
High Throughput
Computer program listings
Diagram
Hand
Throughput
Technology
Proteins
Cell
Drawing

Keywords

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

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

MEGU : Pathway mapping web-service based on KEGG and SVG. / Kono, Nobuaki; Arakawa, Kazuharu; Tomita, Masaru.

In: In Silico Biology, Vol. 6, No. 6, 2006, p. 621-625.

Research output: Contribution to journalArticle

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