Especially, genomics, transcriptomics, proteomics and other omics as well as the integrative analysis and meaningful interpretation of such different data types pose major challenges for method development, where the methods have to be tailored towards the specific applications. We therefore apply methods from the area of machine learning as well as statistical computing.
Like our research, our teaching in bioinformatics is focused on methods for high-throughput data analysis and interpretation. We teach a wide range of students from different fields such as in medicine, biology, biochemistry, molocular medicine, applied statistics, computer sciences and data science.
On our homepage you can find more information about our research activities, our research groups, publications, teaching activities and ressources and services we provide. If you have any questions feel free to contact us.
Prof. Dr. rer. nat. Tim Beißbarth and the Medical Bioinformatics team.