Bachelor thesis at  Nijmegen Proteomics Facility, Laboratorium voor Kindergeneeskunde en Neurologie, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands. Under supervision of Dr L. van den Heuvel and W. Pluk.

Built a central web-based data storage for proteomics data that can handle first steps of analysis automatically. Normalisation, ratio conversation, emPAI calculations and mapping found proteins/peptides onto KEGG and GO ontologies for a global overview of sample content.

System was then used for a research project where several samples of CAPD patients with and without peritonitis where analysed and where compared on protein abundance. There was not enough statistical power in our 13 samples to identify peritonitis specific proteins or peptides as the normal experimental and biological noise was bigger than the intra-individual signals.