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Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)
SWISS-TANDEM: A Web-Based Workspace for MS/MS Protein Identification on PC Grids
Maribor, Slovenia
June 20-June 22
ISBN: 0-7695-2905-4
ASCII Text
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Dominique Zosso, Konstantin Arnold, Torsten Schwede, Michael Podvinec, "SWISS-TANDEM: A Web-Based Workspace for MS/MS Protein Identification on PC Grids," Computer-Based Medical Systems, IEEE Symposium on, pp. 406-411, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/CBMS.2007.103,
author = {Dominique Zosso and Konstantin Arnold and Torsten Schwede and Michael Podvinec},
title = {SWISS-TANDEM: A Web-Based Workspace for MS/MS Protein Identification on PC Grids},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2007},
issn = {1063-7125},
pages = {406-411},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.103},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - SWISS-TANDEM: A Web-Based Workspace for MS/MS Protein Identification on PC Grids
SN - 1063-7125
SP406
EP411
A1 - Dominique Zosso,
A1 - Konstantin Arnold,
A1 - Torsten Schwede,
A1 - Michael Podvinec,
PY - 2007
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Dominique Zosso, Swiss Institute of Bioinformatics and Biozentrum University of Basel, Switzerland
Konstantin Arnold, Swiss Institute of Bioinformatics and Biozentrum University of Basel, Switzerland
Torsten Schwede, Swiss Institute of Bioinformatics and Biozentrum University of Basel, Switzerland
Michael Podvinec, Swiss Institute of Bioinformatics and Biozentrum University of Basel, Switzerland
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.
Citation:
Dominique Zosso, Konstantin Arnold, Torsten Schwede, Michael Podvinec, "SWISS-TANDEM: A Web-Based Workspace for MS/MS Protein Identification on PC Grids," cbms, pp.406-411, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007
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