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Summary
This summary is machine-generated.

This study introduces an open-source pipeline for untargeted mass spectrometry metabolomics. It streamlines data processing, quality assessment, and public repository submission, enhancing reproducibility.

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Area of Science:

  • Analytical Chemistry
  • Bioinformatics
  • Metabolomics

Background:

  • Mass spectrometry is crucial for metabolomics due to its sensitivity and speed.
  • Bioinformatic pipelines are essential for managing complex metabolomics data, ensuring reproducibility.
  • Existing pipelines often require integration with interactive tools for comprehensive analysis.

Purpose of the Study:

  • To review major steps in data processing pipelines for untargeted metabolomics.
  • To present a newly developed open-source software integrating metaMS R package and a web application.
  • To facilitate reproducible analysis of metabolomics experiments.

Main Methods:

  • Development of an integrated open-source software combining metaMS R package and a Grails web application.
  • Utilizing non-interactive bioinformatic pipelines for data processing and quality assessment.
  • Storing experimental and biological metadata in ISA-Tab format for framework integration.

Main Results:

  • The developed software, metaMS, handles data pre-processing and annotation.
  • The integrated interface manages sample lists, data storage, and quality assessment plots.
  • The pipeline ensures full integration with the Metabolights framework via ISA-Tab metadata.

Conclusions:

  • The presented open-source pipeline enhances reproducibility in untargeted metabolomics.
  • The integrated software simplifies data management, processing, and submission to public repositories.
  • This approach supports the characterization of biological phenomena using mass spectrometry data.