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This article was originally published in Proteomics 2011, 11, 1000–1004, DOI 10.1002/pmic.201000507
GPDE: A biological proteomic database for biomarker
discovery and evaluation
Johannes Griss, Verena Haudek-Prinz and Christopher Gerner
Keywords:
Bioinformatics / Biomarker discovery / Database / PRoteomics IDEntifications database
Clinical proteomics faces extremely complex and variable
data. Here, we present an updated version of the Griss
Proteomics Database Engine (GPDE): A free biological
proteomic database specifically designed for clinical proteo-
mics and biomarker discovery (http://gpde.sourceforge.net).
It combines experiments based on investigated cell types
thereby supporting customizable biological meta-analyses.
Through the new features described here, the GPDE now
became a powerful yet easy-to-use tool to support the fast
identification and reliable evaluation of biomarker candi-
dates.
The GPDE’s ‘‘cell view’’ is the result of the biological meta-
analysis created by the GPDE.
Proteomics Clin. Appl. 2011, 5, 542–570 545
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