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Related Experiment Video

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MeTEor: an R Shiny app for exploring longitudinal metabolomics data.

Gordon Grabert1,2, Daniel Dehncke1,2, Tushar More2,3

  • 1Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Braunschweig, Lower Saxony 38106, Germany.

Bioinformatics Advances
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Summary

Researchers can now easily analyze longitudinal metabolomics data over time using MEtabolite Trajectory ExplORer (MeTEor), an R Shiny app. This tool simplifies complex data visualization and statistical analysis for biological insights.

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Area of Science:

  • Metabolomics
  • Systems Biology
  • Bioinformatics

Background:

  • Longitudinal omics data, particularly metabolomics, is increasingly available, offering deep insights into biological processes.
  • Analyzing time-course metabolomics data presents significant statistical and visualization challenges for researchers.
  • Understanding dynamic biological system responses requires effective tools for longitudinal data interpretation.

Purpose of the Study:

  • To develop an accessible tool for the explorative analysis of longitudinal metabolomics data.
  • To provide researchers, regardless of programming expertise, with capabilities for analyzing time-series omics data.
  • To facilitate the understanding of biological system dynamics using temporal metabolomics data.

Main Methods:

  • Development of MEtabolite Trajectory ExplORer (MeTEor) as an R Shiny application.
  • Integration of a comprehensive suite of statistical analysis methods within MeTEor.
  • Replication of a COVID-19 patient metabolomics data analysis to demonstrate MeTEor's functionality.

Main Results:

  • MeTEor offers a user-friendly interface for exploring longitudinal metabolomics data.
  • The application provides robust statistical methods for analyzing temporal changes in metabolites.
  • Successful demonstration of MeTEor's utility through analysis of a COVID-19 cohort dataset.

Conclusions:

  • MeTEor democratizes the analysis of longitudinal metabolomics data for a broader research community.
  • The R Shiny app enhances the ability to gain biological insights from time-series metabolomics studies.
  • MeTEor is a valuable, accessible tool for researchers investigating dynamic biological systems.