• DocumentCode
    2531465
  • Title

    An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database

  • Author

    Wang, James Z. ; Du, Zhidian ; Yu, Philip S. ; Chen, Chin-Fu

  • Author_Institution
    Clemson Univ., Clemson
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    406
  • Lastpage
    411
  • Abstract
    Gene ontology (GO) is a large public database which not only provides a set of controlled biological and biochemical vocabularies (terms) to describe gene products based upon their functions in the cell, but also contains gene annotation data from heterogeneous data sources. In this paper, using a new method to measure the semantic similarity of GO terms, an efficient algorithm is proposed to find genes that have similar biological functions with a given gene. An online tool is then implemented to search the top N genes having similar biological functions with a particular gene within the same or cross different species. Furthermore, various performance enhancement techniques are utilized to reduce the user query response time of the online tool. This tool is available at: http://bioinformatics.cletnson.edu/G-SESAME/Programs/geneTopl.php.
  • Keywords
    biochemistry; biology computing; cellular biophysics; genetics; molecular biophysics; ontologies (artificial intelligence); biochemical vocabularies; biological vocabularies; cell functions; gene annotation; gene ontology database; online tool; semantic similarity; top-N genes; user query response; Bioinformatics; Biological control systems; Biomedical measurements; Cells (biology); Data visualization; Databases; Information analysis; Ontologies; USA Councils; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3031-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2007.34
  • Filename
    4413084