Yearbook 2005

Filter by institute

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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. more
The investigation of reaction and material properties of heterogeneous catalysts is one of the central inter-departmental questions at the Fritz-Haber-Institut. Last year the progress in clarifying the function of nanostructured model systems was reported. Now we will inform about the constitution of so-called “real catalysts” and of the challenges to find out about their functions. more
Go to Editor View