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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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Published on: May 27, 2014

Database resources in metabolomics: an overview.

Eden P Go1

  • 1Department of Chemistry, University of Kansas, 1251 Wescoe Hall Drive, Lawrence, KS 66045, USA. edenp@ku.edu

Journal of Neuroimmune Pharmacology : the Official Journal of the Society on Neuroimmune Pharmacology
|May 7, 2009
PubMed
Summary

Metabolomics, the study of metabolites, relies heavily on bioinformatics and cheminformatics. This review highlights recent advancements in metabolomic databases crucial for managing and accessing this complex biological data.

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Area of Science:

  • Metabolomics and Bioinformatics
  • Cheminformatics and Systems Biology

Background:

  • Metabolomics involves characterizing and quantifying metabolites from biological processes.
  • Rapid advancements in metabolomics necessitate robust bioinformatics and cheminformatics resources.
  • Emerging metabolomic databases are crucial for managing, analyzing, and accessing vast metabolic information.

Purpose of the Study:

  • To provide an overview of recent progress in databases used for metabolomics.
  • To highlight the role of databases in managing and accessing metabolomic data.
  • To discuss the evolution of metabolomic databases as gateways to metabolic information.

Main Methods:

  • Literature review of recent advancements in metabolomic databases.
  • Analysis of database functionalities for data processing, storage, and analysis.
  • Examination of databases providing information on metabolite properties and biological functions.

Main Results:

  • Numerous free and commercial databases are available for metabolomics.
  • These databases offer data on chemical structures, properties, spectral profiles, and biological functions.
  • New databases are emerging as comprehensive gateways to metabolic information.

Conclusions:

  • Metabolomic databases are essential for managing and interpreting complex biological data.
  • Advancements in databases support the growing field of metabolomics.
  • Databases serve as critical resources for understanding metabolism in living systems.