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Related Experiment Video

Updated: Mar 12, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

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Informatics for Metabolomics.

Kanthida Kusonmano1, Wanwipa Vongsangnak2,3, Pramote Chumnanpuen4,5

  • 1Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkhuntien, Bangkok, 10150, Thailand.

Advances in Experimental Medicine and Biology
|November 4, 2016
PubMed
Summary

Metabolomics research has evolved significantly, generating vast datasets. Advanced informatics tools now enable comprehensive analysis of this metabolomics data for biological insights and disease research.

Keywords:
Data acquisition and analysisData miningInformatics techniquesMetabolite biomarkersMetabolomics

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Area of Science:

  • Biochemistry and Systems Biology
  • Bioinformatics and Computational Biology

Background:

  • Metabolome profiling offers insights into metabolic states under various conditions.
  • High-throughput techniques like mass spectrometry (MS) and nuclear magnetic resonance (NMR) have fueled data accumulation.

Observation:

  • Numerous informatics techniques have been developed for processing, analyzing, and mining metabolomics data.
  • Advanced tools and databases provide critical information on chemical structures, spectra, metabolite profiles, and functions.

Findings:

  • This work reviews metabolomics studies from its inception to the current era.
  • A conceptual framework for informatics techniques in metabolomics is presented, covering data analysis from preprocessing to functional interpretation.

Implications:

  • The informatics framework supports translational biomedical research.
  • This approach can identify novel metabolite biomarkers, therapeutic targets, and metabolic pathways for disease treatment.