The implementation of novel technologies like next-generation sequencing, untargeted metabolomics as well as spatial omics with single-cell resolution (e.g. spatial metabolomics, spatial transcriptomics) in cancer and microbiome research generates an incredible high amount and complexity of datasets. In order to extract disease-relevant signals from these high-dimensional datasets, the utilization of bioinformatics tools is crucial. At The M3 Research Center, we not only employ established bioinformatics tools but also develop novel approaches, including machine learning, to predict and explore new therapeutic option. For this reason, several laboratories dedicated to bioinformatics are housed at The M3 Research Center linking the “wet” laboratory with bioinformatic expertise.
Bioinformatics and AI
Rare cell populations
Our research aims at identification and molecular characterization of such subpopulations in the complex tissue context across health and disease states.
Prof. Dr. Manfred Claassen
Data science methods for biomedical research
Through interfaces between heterogeneous data repositories, it is our goal to build Big (FAIR) Data ecosystems.
Prof. Dr. Sven Nahnsen