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Additional paper: computational resources for metabolomics.

Masanori Arita1

  • 1Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, Kashiwanoha 5-1-5, 277-8561 Kashiwa, Japan. arita@k.u-tokyo.ac.jp

Briefings in Functional Genomics & Proteomics
|May 28, 2004
PubMed
Summary
This summary is machine-generated.

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Metabolomics, the study of metabolites, offers a comprehensive view complementing genomics and proteomics. This tutorial surveys web tools for processing and analyzing complex metabolome data.

Area of Science:

  • Biochemistry
  • Systems Biology
  • Bioinformatics

Background:

  • Metabolomics provides a functional readout of biological systems.
  • It complements transcriptomics and proteomics for a holistic biological understanding.
  • Computational tools are crucial for managing and interpreting large metabolomic datasets.

Purpose of the Study:

  • To introduce practical web resources for metabolomic data analysis.
  • To emphasize the computational aspects of processing and navigating metabolome data.
  • To provide accessible materials via the Atomic Reconstruction of Metabolism (ARM) web directory.

Main Methods:

  • Survey of existing web-based bioinformatics tools.
  • Focus on computational workflows for metabolomic data.

Related Experiment Videos

  • Resource compilation and accessibility through a dedicated web directory.

    • Main Results:

    • A curated list of practical web resources for metabolomics.
    • Guidance on computational strategies for metabolome data processing.
    • The Atomic Reconstruction of Metabolism (ARM) as a central access point.

    Conclusions:

    • Accessible computational resources are vital for advancing metabolomics research.
    • Effective data processing and navigation enhance the utility of metabolomic studies.
    • The ARM directory serves as a valuable hub for researchers in the field.