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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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CRONOS: the cross-reference navigation server.

Brigitte Waegele1, Irmtraud Dunger-Kaltenbach, Gisela Fobo

  • 1Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. brigitte.waegele@helmholtz-muenchen.de

Bioinformatics (Oxford, England)
|November 18, 2008
PubMed
Summary
This summary is machine-generated.

CRONOS is a new cross-reference server that simplifies mapping gene and protein identifiers across multiple databases. It ensures highly accurate cross-references, improving bioinformatics research efficiency.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene and protein identifier mapping across databases is complex and time-consuming.
  • Existing methods lack comprehensive cross-referencing capabilities for multiple mammalian organisms.
  • Need for a unified resource to facilitate data integration and analysis.

Purpose of the Study:

  • To develop CRONOS, a cross-reference server for mammalian gene and protein identifiers.
  • To improve the accuracy and efficiency of cross-database mapping.
  • To provide downloadable lists of ambiguous terms for bioinformatics applications.

Main Methods:

  • Developed CRONOS, a server integrating data from major gene and protein information resources for five mammalian organisms.
  • Utilized sequence similarity analysis to validate the accuracy of cross-references.
  • Implemented manual validation to exclude ambiguous gene and protein names, enhancing mapping quality.
  • Supported up to 18 different identifier types for cross-reference identification.

Main Results:

  • CRONOS provides accurate cross-references for gene and protein identifiers across five mammalian species.
  • Sequence similarity analysis confirmed high accuracy of the generated cross-references.
  • Exclusion of ambiguous terms significantly improved mapping quality.
  • Organism-specific lists of ambiguous terms are available for download.

Conclusions:

  • CRONOS effectively addresses the challenge of cross-mapping gene and protein identifiers.
  • The server enhances data integration and analysis in bioinformatics.
  • Downloadable ambiguous term lists offer valuable resources for text mining and other applications.