A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls

Background: Statistical comparison of peptide profiles in biomarker discovery requires fast, userfriendly software for high throughput data analysis. Important features are flexibility in changing input variables and statistical analysis of peptides that are differentially expressed between patient and control groups. In addition, integration the mass spectrometry data with the results of other experiments, such as microarray analysis, and information from other databases requires a central storage of the profile matrix, where protein id's can be added to peptide masses of interest. Results: A new database application is presented, to detect and identify significantly differentially expressed peptides in peptide profiles obtained from body fluids of patient and control groups. The presented modular software is capable of central storage of mass spectra and results in fast analysis. The software architecture consists of 4 pillars, 1) a Graphical User Interface written in Java, 2) ...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Mark K. Titulaer, Ivar Siccama, Lennard J. Dekker, Angelique L. C. T. van Rijswijk, Ron M. A. Heeren, Peter A. E. Sillevis Smitt, Theo M. Luider
• Keywords: BMCBI 2006, Control Groups, Mass Spectrometry, Peptide