| With genome sequencing completion of numerous organisms, mass spectrometry has been more and more widely used for protein identifications, opening the way to high throughput roteomics. The analysis, validation and interpretation of the very large amount of peptide and protein identifications enerated from mass spectrometry runs pose new challenges in terms of data collection, analysis and storage as was pointed out in [1]. Those issues can be addressed by eveloping and using adapted computational tools. In this thesis, a database system was designed to answer the needs of mass spectrometry experimentalists in a neurochemistry laboratory. The system has been conceived to assist biologists in the processing and analysis of experimental data. |