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Related Experiment Videos

KEGG-based pathway visualization tool for complex omics data.

Kazuharu Arakawa1, Nobuaki Kono, Yohei Yamada

  • 1Institute for Advanced Biosciences, Keio University, Endo 5322, Fujisawa, Kanagawa 252-8520, Japan.

In Silico Biology
|November 5, 2005
PubMed
Summary

This study introduces a web-based tool for visualizing omics data on KEGG pathways. It helps systems biology research by offering pathway-level insights into cellular activities and simulation results.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Pathway-level visualization of omics data is crucial for understanding cellular activities in systems biology.
  • Current methods may lack scalability or the ability to integrate diverse omics datasets.

Purpose of the Study:

  • To present a web-based resource for visualizing complex omics data onto KEGG pathways.
  • To provide a scalable application for overviewing cellular entities within their pathway context.

Main Methods:

  • Development of a web-application for omics data visualization.
  • Creation of databases for visualizing microarray data.
  • Acceptance of transcriptome, proteome, and metabolome data, individually or combined.

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Main Results:

  • A functional web application is available at http://www.g-language.org/data/marray/.
  • The resource enables visualization of omics data on KEGG pathways.
  • The tool supports integrated analysis of multiple omics data types.

Conclusions:

  • The developed web-based resource offers a scalable solution for pathway-level omics data visualization.
  • This tool facilitates systems biology research by providing context for cellular activities.
  • It is advantageous for visualizing cell simulation results and integrating diverse omics data.