Internship for HBO (Bio-)Informatics student
Our laboratory is participating in numerous biomarker research projects (e.g. prostate and cervical cancer) using a label-free mass spectrometry profiling approach and by applying the most advanced proteomics technology in the field. We are generating large amount of mass spectrometry data, the analysis of which can be only realized using integrated automatic bioinformatics algorithms for datasets obtained with different types of analytical systems (e.g. capillary, nano LC, chipLC) coupled to different mass spectrometers (e.g. MALDI-TOF, ESI-q-TOF, ESI-ion trap, ESI-TOF). We are currently developing a complete data processing and statistical analysis methodology for data evaluation with the goal to find biomarker candidates. The data processing involves smoothing, peak picking, deisotoping, time alignment of a set of chromatograms and peak matching. Subsequently a matrix with quantitative peak properties is generated and subjected to supervised classification (e.g. nearest shrunken centroids, PCA-DA, support vector machines). We perform our development in collaboration with leading groups (e.g. IBM, TNO) in MS based proteomics. We are looking for students with expertise in Matlab, Java and/or C++ that are interested in performing a stage, bachelor or master project in our group. For more information, please contact Dr. Peter Horvatovich, phone 050-363 3341, email
