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2DDB - a bioinformatics solution for analysis of quantitative proteomics data.

Lars Malmström1, György Marko-Varga, Gunilla Westergren-Thorsson

  • 1Department of Electrical Measurements, LTH, P,O Box 118, SE-221 00, Lund, Sweden. lars.malmstrom@elmat.lth.se

BMC Bioinformatics
|March 22, 2006
PubMed
Summary

2DDB is a bioinformatics solution for managing and analyzing quantitative proteomics data. This flexible software integrates public databases and statistical tools, aiding complex proteomic analyses.

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Area of Science:

  • Bioinformatics
  • Proteomics
  • Computational Biology

Background:

  • Increasing complexity and volume of quantitative proteomics data necessitate advanced bioinformatics solutions.
  • Existing tools may lack the flexibility required for comprehensive data integration and analysis.

Purpose of the Study:

  • To present 2DDB, a novel bioinformatics solution for the storage, integration, and analysis of quantitative proteomics data.
  • To provide a flexible platform addressing the growing needs of the proteomics field.

Main Methods:

  • Development of a core data model for experiment description and protein identification.
  • Extension of data models to capture specific data aspects.
  • Integration of public databases and bioinformatics tools.

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  • Utilisation of the R statistical package for analysis.
  • Handling of quantitative data from 2D gel electrophoresis and LC-MS/MS.

    • Main Results:

    • 2DDB provides a robust framework for quantitative proteomics data management.
    • Integrated resources enhance data accessibility and analytical power.
    • The software supports diverse quantitative proteomics workflows, including 2D-PAGE and LC-MS/MS.

    Conclusions:

    • 2DDB has been successfully applied to diverse proteomics projects, including TGF-β stimulated fibroblasts and human cervix biopsies.
    • The software facilitates complex quantitative proteomic analyses.
    • 2DDB is available for download, promoting wider adoption in the research community.