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Mass Spectrometry: Overview01:19

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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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MassCascade: Visual Programming for LC-MS Data Processing in Metabolomics.

Stephan Beisken1, Mark Earll2, David Portwood2

  • 1European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI) Welcome Trust, Genome Campus, Hinxton, Cambridgeshire, UK.

Molecular Informatics
|August 18, 2015
PubMed
Summary
This summary is machine-generated.

MassCascade is an open-source Java library for processing liquid chromatography-mass spectrometry (LC-MS) data in metabolomics. Its KNIME plugin enables visual programming for complex LC-MS data analysis workflows.

Keywords:
Data analysisMass spectrometryMetabolomicsWorkflow platform

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Area of Science:

  • Metabolomics
  • Bioinformatics
  • Analytical Chemistry

Background:

  • Liquid chromatography-mass spectrometry (LC-MS) is crucial for analyzing small molecules in biological systems.
  • Current LC-MS data analysis relies on custom pipelines integrating multiple software tools.
  • Workflow environments offer integrated solutions for complex data processing.

Purpose of the Study:

  • To introduce MassCascade, a modular Java library for LC-MS data processing.
  • To present a KNIME plugin for MassCascade, enabling visual programming of LC-MS workflows.
  • To simplify and enhance the analysis of metabolomics data.

Main Methods:

  • Development of MassCascade as a modular Java library integrating common LC-MS algorithms.
  • Encapsulation of MassCascade functions into a KNIME plugin for graphical workflow integration.
  • Validation of the MassCascade library using publicly available LC-MS datasets.

Main Results:

  • MassCascade provides a modular back-end for LC-MS data processing.
  • The KNIME plugin allows intuitive, visual construction of complex analysis workflows.
  • The software integrates seamlessly with other KNIME nodes for statistical analysis.

Conclusions:

  • MassCascade offers an open-source, modular solution for LC-MS data processing in metabolomics.
  • The KNIME plugin simplifies complex workflow creation without requiring programming knowledge.
  • This approach enhances the accessibility and efficiency of LC-MS data analysis.