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    Gossto: a stand-alone application and a web tool for calculating semantic similarities on the gene ontology

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    Date
    2014-03-22
    Author
    Caniza, H.
    Romero, A. E.
    Heron, S.
    Yang, H.
    Devoto, A.
    Frasca, M.
    Mesiti, M.
    Valentini, G.
    Paccanaro, A.
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    Cited 33 times in Scopus (view citations)
    
    Recommended Citation
    Caniza, H. Romero, A. E.; Heron, S.; Yang, H.; Devoto, A.; Frasca, M.; Mesiti, M.; Valentini, G.; Paccanaro, A. (2014). Gossto: a stand-alone application and a web tool for calculating semantic similarities on the gene ontology. Bioinformatics 30 (15), 2235-2236
    Published Version
    https://academic.oup.com/bioinformatics/article-pdf/30/15/2235/7249339/btu144.pdf
    Abstract
    We present GOssTo, the Gene Ontology semantic similarity Tool, a user-friendly software system for calculating semantic similarities between gene products according to the Gene Ontology. GOssTo is bundled with six semantic similarity measures, including both term-and graph-based measures, and has extension capabilities to allow the user to add new similarities. Importantly, for any measure, GOssTo can also calculate the Random Walk Contribution that has been shown to greatly improve the accuracy of similarity measures. GOssTo is very fast, easy to use, and it allows the calculation of similarities on a genomic scale in a few minutes on a regular desktop machine.
    URI
    http://hdl.handle.net/10379/10676
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