The broad application of proteomics in different biological and medical fields, as well as the
diffusion of high-throughput platforms, leads to increasing volumes of available proteomics
data. Computational proteomics is the data science concerned with the identification and
quantification of proteins from numerous data and the biological interpretation of their
concentration changes, posttranslational modifications, interactions, and subcellular
localizations. Computational proteomics is a highly multidisciplinary endeavor attracting
scientists from many fields and incorporates other disciplines like statistics, machine learning,
efficient scientific programming, and network and time series analysis.
