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Abstract:
Novel technologies allow for many measurements on biological systems, leading to fast-grow ing 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.
