Dynamic pathway models reveal key regulatory mechanisms in cancer progression.

We study the formation and architechture of subviral complexes and their interaction with cellular structures.

We provide specialized support for diverse single-cell sequencing methods, including spatial omics, tailored specifically for cancer research.

We use mathematical models to analyze the dynamic structure formation and self-organization in cell systems-

We study the signaling network deregulation in various diseases by integrating multi-omics data into mathematical models.

We study neuronal cell proliferation and differentiation in the developing, growing, and regenerating eye and brain of fish.

We study cellular signaling networks using genetic and genomic approaches with a focus on Wnt signaling pathways

We develop and apply statistical methods for biotechnologies and then relate them into resuable tools.

We study the development for complex stem cells in plants using genetic, genomic, and molecular approaches.

We develop statistical and machine learning methods to decipher molecular variation across individuals, space, and time.

We provide medical informatics solutions to make patient data accessible for clinical research and education.

We specialize in investigating tumor-immune interactions, creating immunotherapies and predictive biomarkers.

We specialize in integrating mathematical modeling, biological experiments, and clinical data to understand cell signaling systems, with a particular focus on cancer.

We extract insights from high-throughput assay data, analyzing sequencing data, creating dataset visualizations, and applying omics data for functional genomics and systems medicine.

The µCATs Lab studies beneficial, spore-forming and industrially relevant Bacilli.

We are interested in studying how viruses interact with cellular organelles and how they remodeled cells to replicate.

We specialize in devising, refining, and implementing state-of-the-art technologies for comprehensive screening and analysis.

We specialize in deep learning-based image analysis of digitized histological and cytological slides, focusing on automatic segmentation, quality assurance, and assisted diagnostics.

We specialize in advancing human gene therapy through innovative gene delivery methods using parvoviruses like AAV and bocavirus.

We study transcriptional control for precise gene expression in cell types and development, using statistical and machine-learning methods to integrate multi-omics data from bulk and single-cell da

We are interested in studying how Mobile Genetic Elements (MGEs) - transposons, plasmids, integrons, bacterial viruses and their interactions shape bacterial genomes and communities in nature.

We specialize in developing computational methods for analyzing biochemical networks and applying these methods to relevant biological systems.

We specialize in shaping legal frameworks for emerging medical technologies and treatment methods, aligning with global standards and emphasizing data protection, medical, and health laws.

We specialize in deciphering how living systems process and transfer information.

We combine molecular/cell biology and physics to develop quantitative descriptions that relate the dynamic organization of the epigenome with gene expression programs and functional cell states.

We develop advanced image analysis methods for computer-based quantification of biomedical images, focusing on deep learning methods for cell microscopy image data.

We specialize in protein structure and mechanistic data analysis, with a particular focus on genetic variants related to cancer and hereditary diseases.

We specialize in methodological research for mathematical modeling in biology, creating and assessing numerical methods.

We specialize in advancing Cryo Electron Microscopy (Cryo-EM), a revolutionary technique now established as a routine application on campus with a network of four dedicated microscopes.

We specialize in using theoretical physics to understand cell mechanics and adhesion at a system level.

We aim to uncover how the precise spratial and temporal regulation of intracellular trafficking is achieved.