Semantic similarity measures as tools for exploring the gene ontology.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    Many bioinformatics resources hold data in the form of sequences. Often this sequence data is associated with a large amount of annotation. In many cases this data has been hard to model, and has been represented as scientific natural language, which is not readily computationally amenable. The development of the Gene Ontology provides us with a more accessible representation of some of this data. However it is not clear how this data can best be searched, or queried. Recently we have adapted information content based measures for use with the Gene Ontology (GO). In this paper we present detailed investigation of the properties of these measures, and examine various properties of GO, which may have implications for its future design.
    Original languageEnglish
    Title of host publicationPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|Pac Symp Biocomput
    Number of pages11
    Publication statusPublished - 2003


    • Gene Ontology


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