• DocumentCode
    434491
  • Title

    Algorithms and databases in bioinformatics: towards a proteomic ontology

  • Author

    Cannataro, Mario ; Guzzi, Pietro Hiram ; Mazza, Tommaso ; Tradigo, Giuseppe ; Veltri, Pierangelo

  • Author_Institution
    Magna Graecia Univ., Catanzaro, Italy
  • Volume
    1
  • fYear
    2005
  • fDate
    4-6 April 2005
  • Firstpage
    322
  • Abstract
    Classification of bioinformatics tools and databases, as well as modelling of biological processes, can help the design of complex in silico experiments. After presenting a survey of bioinformatics algorithms and biological databases, we describe a first design of an ontology for the Proteomics domain. The ontology can be used either to better understand biological processes or to enhance design of distributed bioinformatics applications.
  • Keywords
    biology computing; database management systems; distributed processing; molecular biophysics; ontologies (artificial intelligence); proteins; algorithms; biological databases; biological process modelling; distributed bioinformatics applications; in silico experiments; proteomic ontology; Algorithm design and analysis; Bioinformatics; Biological information theory; Biological processes; Biological system modeling; Chemicals; Databases; Ontologies; Proteins; Proteomics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
  • Print_ISBN
    0-7695-2315-3
  • Type

    conf

  • DOI
    10.1109/ITCC.2005.63
  • Filename
    1428482