Bioinformatics / Computational Biology
Jens Timmer
Faculty of Mathematics and Physics – Institute of Physics
RESEARCH: Cancer Metabolism, Mathematical Modelling, Signal Transduction, Developmental Biology, Immune System, Synthetic Biology
METHODS: Dynamic Pathway Modelling, Parameter Estimation in Differential Equations, Uncertainty Analysis, Experimental Design
TECHNOLOGIES: High Performance Computing
Melanie Föll
Faculty of Medicine and Medical Center – Institute of Surgical Pathology
RESEARCH: Spatially resolved metabolomics, lipidomics and proteomics, tumor microenvironment, tumor heterogeneity, mass spectrometry and metabolomic data science, mass spectrometry method development
METHODS: MALDI mass spectrometry imaging, computational tools and workflows (in Galaxy platform), multi-omics data integration, machine learning, tissue based mass spectrometry
TECHNOLOGIES: MALDI-TOF/TOF, laser capture microdissection, European Galaxy Server
Melanie Börries
Faculty of Medicine and Medical Center – Institute of Medical Bioinformatics and Systems Medicine
RESEARCH: Multi-Omics data analysis, cancer metabolism, (genetic) analyses of metabolic signaling, identification of disease biomarkers and potential therapeutic options, pipeline development for high-throughput data for clinical research and applications (e.g. Molecular Tumor Board)
METHODS: machine learning methods, development and application of standardized workflows for the analysis, integration and visualization of omics data, single-cell analysis, creating user-friendly databases
TECHNOLOGIES: High-performance computer cluster, 10x Genomics
Clemens Kreutz
Faculty of Medicine and Medical Center – Institute of Medical Biometry and Statistics (IMBI), Methods of Systems Biomedicine (MSB)
RESEARCH: Mathematical Modelling, Metabolic Signaling Networks, Link to Microbiome, Link to Proteome, Methods for Single Cell Analyses
METHODS: Mathematical Models, Benchmarking and Optimal Selection of Computational Methods, Development of Novel Analysis Approaches
TECHNOLOGIES: High Performance Computing