KEGG-based pathway visualization tool for complex omics data

Kazuharu Arakawa, Nobuaki Kono, Yohei Yamada, Hirotada Mori, Masaru Tomita

研究成果: Article査読

74 被引用数 (Scopus)

抄録

Pathway-level visualization of omics data provides an essential means for systems biology, to capture the systematic properties of the inner activities of cells. Here we describe a web-based resource consisting of a web-application for the visualization of complex omics data onto KEGG pathways to overview all entities in the context of cellular pathways, and databases created with the software to visualize a series of microarray data. The web-application accepts transcriptome, proteome, metabolome, or the combination of these data as input, and because of this scalability it is advantageous for the visualization of cell simulation results. The web server can be accessed at http://www.g-language.org/data/marray/.

本文言語English
ページ(範囲)419-423
ページ数5
ジャーナルIn Silico Biology
5
4
出版ステータスPublished - 2005 11 24

ASJC Scopus subject areas

  • 分子生物学
  • 遺伝学
  • 計算数学
  • 計算理論と計算数学

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