Our research group explores bioinformatics methods for analysing biological data from high-throughput experiments. In these experiments, e.g. next-generation sequencing or DNA microarray technology is used to determine the expression of thousands of genes simultaneously or genome sequences of entire organisms. In our method development, we particularly consider robust procedures or those that aim at a high reproducibility of results. We use classical statistical methods, such as resampling methods or methods of evidence synthesis (e.g. meta-analyses or the fusion of several independent data sets), and adapt them for bioinformatics purposes. Our methods focus in particular on applications in infection research. One main application is viral metagenomics, i.e. the detection of viral sequences in biological samples of infected hosts. In addition, we maintain further collaborations with scientists from various fields of biology and medicine, and develop our bioinformatics methods further in these projects. A list of externally funded projects can be found at the bottom of this page. A list of publications can be found here.