• DocumentCode
    2093931
  • Title

    ProtCV: A Tool for Extracting, Visualizing and Validating Protein Clusters Using Mass Spectra Peak-Lists

  • Author

    Ventoura, Stavroula ; Giannopoulou, Eugenia G. ; Manolakos, Elias S.

  • Author_Institution
    Dept. of Inf. & Telecommun., Univ. of Athens, Athens
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    221
  • Lastpage
    223
  • Abstract
    We present ProtCV (protein clustering and visualization) a new software tool for grouping samples (mass spectra peak-lists) emanating from a high throughput proteomics analysis based on their spectral similarities, and summarizing effectively for the user the clustering results using advanced visualization methods. A unique feature of ProtCV is that it can compare clustering methods applied to the same data set based on several validity in dices to assist the user identify groupings that seem to capture best the underlying structure of the data set. Moreover, ProtCV can assist in formulating hypotheses about the potential role of unidentified proteins in a cluster, identify sets of proteins which act jointly at a specific biological state etc. All these data set mining and exploration operations are very useful for interpreting the results of high throughput MS based proteomics analyses that are commonly used for biomarkers discovery.
  • Keywords
    data visualisation; macromolecules; medical computing; pattern clustering; proteins; software tools; ProtCV; biomarkers discovery; mass spectra peak-lists; protein clusters; protein visualization; proteomics analysis; software tool; Biomedical informatics; Clustering algorithms; Clustering methods; Data mining; Data visualization; Partitioning algorithms; Proteins; Proteomics; Software tools; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.95
  • Filename
    4561991