Abstract | ||
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Tandem mass spectrometry is a powerful technique for the identification of proteins contained in a biological sample. We present a grid-based application service for the analysis of tandem mass spectra, based on the open-source X!Tandem algorithm. The implemented parallelization strategy allows the distribution of analysis jobs to a grid of desktop PCs, utilizing their idle capacity. For this application service, a user-friendly project-oriented frontend was developed, implemented as a web-based workspace. After analysis, results are visualized and presented to the user along with a set of powerful and novel tools to allow further interpretation and evaluation of search results. |
Year | DOI | Venue |
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2007 | 10.1109/CBMS.2007.103 | Maribor |
Keywords | Field | DocType |
application service,tandem algorithm,biological sample,analysis job,web-based workspace,desktop pcs,powerful technique,idle capacity,ms protein identification,pc grids,tandem mass spectrometry,tandem mass spectrum,grid-based application service,databases,grid computing,proteomics,human computer interaction,workspace,mass spectroscopy,visualization,mass spectra,molecular biophysics,concurrent computing,algorithm design and analysis,biochemistry,proteins,parallel processing,data visualisation,public domain software,internet | Data mining,Tandem,Data visualization,Grid computing,Algorithm design,Workspace,Computer science,Theoretical computer science,Web application,Concurrent computing,Computer hardware,Grid | Conference |
ISSN | ISBN | Citations |
1063-7125 | 0-7695-2905-4 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dominique Zosso | 1 | 273 | 16.60 |
Konstantin Arnold | 2 | 6 | 1.55 |
Torsten Schwede | 3 | 500 | 42.56 |
Michael Podvinec | 4 | 11 | 2.50 |