With the advent of new molecular profiling techniques, genome-wide datasets describing interactions between molecular entities (i.e., mRNA, proteins, metabolites,…) are being generated at an ever increasing pace. These datasets each measure a specific type of interaction that is active under certain conditions or that occurs as a response to specific environmental signals. These data, present in the public domain provide a wealth of information that can be used to infer novel biological findings or as a scaffold against which own findings can be interrogated. In this presentation I will show why datamining is crucial to exploit these data, what makes from practical point of view a datamining tool useful and how fundamental computerscience can be key to efficient computational systems biology.