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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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A Web Service Framework for Interactive Analysis of Metabolomics Data.

Yaroslav Lyutvinskiy1,2, Jeramie D Watrous3, Mohit Jain3

  • 1Karolinska Institutet, Department of Medicine, Karolinska University Hospital , Stockholm, Sweden 17176.

Analytical Chemistry
|May 18, 2017
PubMed
Summary
This summary is machine-generated.

mzAccess offers real-time, interactive online access to mass spectrometry metabolomics data. This software bypasses complex pipelines, simplifying data sharing and analysis for researchers studying metabolism.

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Area of Science:

  • Metabolomics
  • Bioinformatics
  • Mass Spectrometry

Background:

  • Analyzing mass spectrometry-based metabolomics data is challenging due to large data volumes and complex processing pipelines.
  • Current methods hinder data sharing, reanalysis, and meta-analysis of metabolomics datasets.
  • Accessibility issues impede efficient utilization of metabolomics data from local or public repositories.

Purpose of the Study:

  • To introduce mzAccess, a novel software system for interactive, real-time online access to primary mass spectrometry data.
  • To circumvent the need for bulk data processing in metabolomics research.
  • To facilitate data sharing and reanalysis within the metabolomics community.

Main Methods:

  • Developed mzAccess, a Web service protocol for real-time data access.
  • Implemented a uniform interface for querying spectra, chromatograms, and MZ-RT areas.
  • Utilized a cache mechanism to achieve millisecond response times for LC-MS peaks.

Main Results:

  • mzAccess provides interactive, online access to mass spectrometry data.
  • The system supports querying various data types (spectra, chromatograms, MZ-RT areas) in profile or centroid modes.
  • Achieved millisecond response times for typical LC-MS peaks, enabling real-time browsing of large datasets.

Conclusions:

  • mzAccess simplifies access to metabolite data, overcoming previous analytical hurdles.
  • The system promotes efficient data sharing and reanalysis in metabolomics.
  • mzAccess has the potential to accelerate discoveries in metabolism research by improving data accessibility.