• DocumentCode
    2479474
  • Title

    ADVISe: Visualizing the dynamics of enzyme annotations in UniProt/Swiss-Prot

  • Author

    Silveira, S.A. ; Rodrigues, A.O. ; de Melo-Minardi, R.C. ; da Silveira, C.H. ; Meira, Wagner

  • fYear
    2012
  • fDate
    14-15 Oct. 2012
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    In this paper, we propose an interactive visualization called ADVISe (Annotation Dynamics Visualization), which tackles the problem of visualizing evolutions in enzyme annotations across several releases of the UniProt/SwissProt database. More specifically, we visualize the dynamics of Enzyme Commission numbers (EC numbers), which are a numerical and hierarchical classification scheme for enzymes based on the chemical reactions they catalyze. An EC number consists of four numbers separated by periods and represents a progressively finer classification of the catalyzed reaction. The proposed interactive visualization gives a macro view of the changes and presents further details on demand, such as frequencies of change types segmented by levels of generalization and specialization as well as by enzyme families. Users can also explore entry metadata. With this tool, we were able to identify trends of specialization, database growth and exceptions in which EC numbers were deleted, divided or created and revisions of past annotation errors.
  • Keywords
    biology computing; data visualisation; database management systems; ADVISe; EC numbers; SwissProt database; UniProt database; annotation dynamics visualization; enzyme annotations; enzyme commission numbers; interactive visualization; Data visualization; Databases; Heating; Image color analysis; Market research; Proteins; Annotation; Bioinformatics; Database dynamics; EC number; Enzymes; Information visualization; Processing; SwissProt; UniProt;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biological Data Visualization (BioVis), 2012 IEEE Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-4729-7
  • Type

    conf

  • DOI
    10.1109/BioVis.2012.6378592
  • Filename
    6378592