The overarching research theme of the RTG is the application and development of novel computational and bioinformatics approaches to study development, diagnosis, and treatment of tumors. Within this broad field, the RTG focuses on three specific biomedical research areas that are closely aligned with the research interests of its PIs: (A1) personalized and advanced drug therapies, (A2) tumor heterogeneity, and (A3) therapy resistance. We intentionally do not restrict our research to a specific tumor entity for two reasons. First, we want to explicitly include projects on pan-cancer analysis, and address tumor-type overarching themes. Second, the computational methods we will study are typically not restricted to one specific tumor type. We believe that it is essential that future computational cancer researchers can apply their methods broadly, which requires them to learn about differences and similarities of various tumor entities. To approach the different research questions within the research areas, PhD students of the RTG will develop and evaluate novel algorithms, systems and technologies based on one of the following basic types of computational methods: (M1) methods for single-cell analysis, (M2) mathematical modeling, (M3) integrative multi-omics analysis, and (M4) IT systems for translational research.