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