Datamining methodology for LC-MALDI-MS based peptide profiling.
This report will provide a brief overview of the application of data mining in proteomic peptide profiling used for medical biomarker research. Mass spectrometry based profiling of peptides and proteins is frequently used to distinguish disease from non-disease groups and to monitor and predict drug effects. It has the promising potential to enter clinical laboratories as a general purpose diagnostic tool. Data mining methodologies support biomedical science to manage the vast data sets obtained from these instrumentations. Here we will review the typical workflow of peptide profiling, together with typical data mining methodology. Mass spectrometric experiments in peptidomics raise numerous questions in the fields of signal processing, statistics, experimental design and discriminant analysis.
Zucht
Hans-Dieter
HD
BioVisioN AG, Feodor-Lynen-Str. 5, D-30625 Hannover, Germany. HD.Zucht@biovision-discovery.de
Lamerz
Jens
J
Khamenia
Valery
V
Schiller
Carsten
C
Appel
Annette
A
Tammen
Harald
H
Crameri
Reto
R
Selle
Hartmut
H
D000818:Animals; D019295:Computational Biology; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D006801:Humans; D010455:Peptides / Q000737:chemistry*; D040901:Proteomics; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
D010455:Peptides