Novel technologies allow for many measurements on biological systems, leading to fast-growing amounts and variety of data. In order to tap the full potential of the available data a thorough analysis is demanded. Apart from the electronic data organisation, an efficient and automatic analysis is a great conceptual challenge. Using modern Machine Learning Methods
, researchers at the Friedrich Miescher Laboratory are analysing for example the complex phenomenon of cellular messenger RNA splicing. Their particular interest is the prediction of alternative splicing and a deeper understanding of its regulation mechanisms.