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FunSimMat: a comprehensive functional similarity database.

Andreas Schlicker1, Mario Albrecht

  • 1Max Planck Institute for Informatics, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany. andreas.schlicker@mpi-inf.mpg.de

Nucleic Acids Research
|October 13, 2007
PubMed
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This study introduces FunSimMat, a novel database providing precomputed functional similarity values for Gene Ontology (GO) terms and proteins. This resource aims to streamline applications in bioinformatics and systems biology.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Functional similarity based on Gene Ontology (GO) annotation is crucial for various bioinformatics applications.
  • Existing resources lack a comprehensive database for functional similarity values, hindering widespread use.
  • A centralized resource is needed to facilitate the application of functional similarity measures.

Purpose of the Study:

  • To introduce FunSimMat, a novel database of functional similarity measures.
  • To provide precomputed semantic similarity values for GO terms, proteins, and protein families.
  • To enable efficient functional similarity searches and data accessibility for researchers.

Main Methods:

  • Development of the FunSimMat database.

Related Experiment Videos

  • Integration of multiple semantic similarity measures for GO terms.
  • Precomputation of functional similarity values for UniProtKB proteins and Pfam/SMART protein families.
  • Implementation of a web interface for GO term, protein, and protein family searches.
  • Provision of data download in tab-delimited format and an XML-RPC interface.

    • Main Results:

    • FunSimMat offers a large collection of precomputed functional similarity values.
    • The database supports semantic similarity searches using GO terms.
    • Users can perform functional similarity searches with proteins and protein families.
    • Results are downloadable and accessible via an XML-RPC interface for programmatic use.

    Conclusions:

    • FunSimMat serves as a valuable, comprehensive resource for functional similarity data.
    • The database facilitates diverse bioinformatics applications by providing easy access to precomputed similarity measures.
    • FunSimMat promotes the integration and advancement of functional genomics research.