• DocumentCode
    2058054
  • Title

    GO Visual Browser

  • Author

    Tily, Sara ; Murphy, Marguerite C. ; Dangat, Omkar ; Smith, Christopher D.

  • Author_Institution
    Comput. Sci. Dept., San Francisco State Univ., San Francisco, CA, USA
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Biologists commonly annotate genome and protein properties using ontology terms. While biologists have a deep understanding of the underlying biology, they rarely have a good understanding of the semantic networks used to represent domain ontologies. This paper presents the design and implementation of the GO Visual Browser: a new tool to provide visualization of Gene Ontology terms and relationships, as well as retrieval of associated genomic data. Browsing involves selecting a term and type of ontology relationship, and then displaying an interactive map with all of the related terms. This map can then be used to search a genome database for all features, related sequences, and metadata annotated with the selected ontology terms. Our code is fully functional and is being distributed as open source software.
  • Keywords
    biology computing; data visualisation; genomics; information retrieval; ontologies (artificial intelligence); GO Visual Browser; annotated metadata; domain ontologies; gene ontology visualization; genome database; genomic data retrieval; open source software; protein properties; semantic networks; Bioinformatics; Browsers; Databases; Genomics; Ontologies; Visualization; Controlled Vocabulary; GO term; Gene Ontology (GO); Interactive Graphical Interface; Relation; Visual Browser;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Palo Alto, CA
  • Print_ISBN
    978-1-4577-1648-5
  • Electronic_ISBN
    978-0-7695-4492-2
  • Type

    conf

  • DOI
    10.1109/ICSC.2011.55
  • Filename
    6061355