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Next generation software for functional trend analysis.

Gabriel F Berriz1, John E Beaver, Can Cenik

  • 1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 250 Longwood Avenue and Center for Cancer Systems Biology, Dana Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA.

Bioinformatics (Oxford, England)
|September 1, 2009
PubMed
Summary
This summary is machine-generated.

FuncAssociate is a web tool that identifies gene and protein properties from large experiments. The updated version offers a new interface and improved analysis across multiple naming systems, preventing translation errors.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • FuncAssociate is a web application for discovering enriched properties in gene or protein lists from large-scale experiments.
  • The application is freely available to all users.

Purpose of the Study:

  • To describe an updated version of the FuncAssociate web application.
  • To highlight new features, including an improved interface and enhanced analysis capabilities.

Main Methods:

  • Enrichment analysis performed within multiple gene and protein naming systems.
  • Development of a new user interface for the FuncAssociate web application.

Main Results:

  • The updated FuncAssociate application provides an improved user interface.
  • Enrichment analysis can now be conducted across diverse gene and protein naming systems.
  • This feature mitigates potential translation artifacts common in other enrichment analysis methods.

Conclusions:

  • The updated FuncAssociate tool offers a more robust and accurate method for functional enrichment analysis.
  • Researchers can now perform more reliable gene and protein property discovery, avoiding cross-system translation issues.