In our research we mainly focus on the analyzis of biological networks and large-scale biomedical datasets. We aim to use existing information as efficently as possible and extract knowledge of the plythora of available biological data. Only the efficeint combination of several types of biological datasets allows for a deeper understanding on how organisms manage cell responses, reproduction and adaption to changing environmental conditions.
Among others, we developed TransClust, an efficient, state-of-the-art clustering tool and web-platforms for the in depths analysis of gene regulatory networks. Please find more information about our current projects by following the links: