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
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