Bioinformatics: Computational optimization of mass spectrometry-based proteomics experiments

Mass spectrometry (MS)-based proteomics is currently the most efficient method for large-scale analysis of protein content in biological mixtures. However, as for other biological high-throughput methods, the analysis of data has become a bottleneck, both in terms of amount of biological results and time to results. Following this observation, we design computational methods that increase the efficiency of the interpretation of data from MS-based proteomics experiments.