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Metabolomics Data Processing Using XCMS.

Xavier Domingo-Almenara1, Gary Siuzdak2,3

  • 1Scripps Center for Metabolomics, The Scripps Research Institute, La Jolla, CA, USA. xavier.domingoa@eurecat.org.

Methods in Molecular Biology (Clifton, N.J.)
|January 19, 2020
PubMed
Summary
This summary is machine-generated.

XCMS is a widely used software for processing liquid chromatography-mass spectrometry (LC-MS) data. This chapter details its algorithms, parameter roles, and the enhanced features of XCMS Online.

Keywords:
Data processingLiquid chromatographyMass spectrometryMetabolomicsXCMS

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Area of Science:

  • Analytical Chemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Liquid chromatography-mass spectrometry (LC-MS) generates complex datasets requiring specialized processing.
  • XCMS is a prevalent software solution for analyzing LC-MS data, available as an R package and online platform.
  • Understanding LC-MS data characteristics is crucial for effective data processing.

Purpose of the Study:

  • To provide an overview of LC-MS data and the necessity for processing software.
  • To explain the algorithms underpinning XCMS and the impact of user-defined parameters.
  • To introduce the advanced functionalities of the XCMS Online platform.

Main Methods:

  • Description of LC-MS data properties.
  • Explanation of XCMS algorithms and parameter settings.
  • Overview of XCMS Online features and capabilities.

Main Results:

  • Contextualization of LC-MS data processing needs.
  • Detailed explanation of XCMS algorithms and parameter influence.
  • Introduction to the extended capabilities of XCMS Online.

Conclusions:

  • XCMS is a vital tool for LC-MS data analysis.
  • User-defined parameters significantly influence XCMS data processing outcomes.
  • XCMS Online offers expanded functionalities for LC-MS data analysis.