Dept. of Systems Biology and Bioinformatics is a part of the University of Rostock, Germany Universität Rostock


Making Sense out of Data - Providing Meaning to Models

The Department of Systems Biology and Bioinformatics focuses on the development of systems- and control methodologies, using mathematical modelling and statistical data analysis applied to complex dynamical systems.

We build realistic and useful models of biological phenomena from the molecular level, to cellular, tissue, and organismal levels by a close collaboration between systems biologists and experimental biologists. We use mathematical modelling and simulation mainly to understand fundamental dynamic processes of metabolic pathways, cell signalling and gene expression. The complexity of these molecular systems is fascinating and provides interesting challenges.

All projects

Meet the Team

Olaf Wolkenhauer "I search for principles of tissue organisation by using category theory to generalise and abstract from cellular mechanisms."
Olaf Wolkenhauer
Markus Wolfien "To analyse, evaluate and annotate RNA sequencing data, we developed TRAPLINE - an automated pipeline."
Markus Wolfien
Sherry "To uncover interactions that lead to aberrant molecular mechanisms behind ailments such as multiple sclerosis or radiation sickness, I study gene expression, transcription factors and microRNAs to construct regulatory networks which I then explore."
Sherry Freiesleben
Shailendra Gupta "To reveal those components and mechanisms that are determining the cell’s response to perturbations, we construct models of molecular networks with differential equations and boolean logic."
Shailendra Gupta
Faiz "We analyse gene expression data from patients, to construct comprehensive networks. To identify regulatory motifs and genetic signatures to predict potential drug targets from logic-based and kinetic simulations, we applying topological analysis to these large-scale networks." Faiz Khan
Dagmar Waldemath "I develop tailor-made solutions for the management and standardisation of data arising from modeling projects to improve the reproducibility of simulation studies in biology."
Dagmar Waltemath
tom theile "I use high-resolution 3D time series data to simulate cellular interactions in the human body. Agent-based simulations are ideally suited for spatio-temporal phenomena."
Tom Theile
Felix Winter "Using a mathematical model of the brain’s energy metabolism, I reveal an Alzheimer's specific alteration in the measure that is used to diagnose patients in the clinic."
Felix Winter
Virginia Bolowski "In order to improve the visibility and reach of systems medicine projects and initiatives across Europe, I support the scientific community through the coordination and editorial work of an Internet Hub:"
Virginia Bolowski
Suchi Smita "To evaluate the toxicity of mixture of chemicals from combustion aerosols, I am developing computational methods that integrate chemometric and multiomics data using structural biology, chemoinformatics and network inference approaches."
Suchi Smita
Vasundra Toure "To visualize Systems Biology networks and provide a consistent tool for creating them, I support the SBGN community by improving the SBGN standard and maintaining software support."
Vasundra Touré
Ali Salehzadeh-Yazdi "To unveil and quantify the principles of genotype-phenotype associations, I use different modeling approaches."
Ali Salehzadeh-Yazdi
Holger Hennig "I analyze single-cell images, mainly from imaging flow cytometry. I develop data analysis and machine learning techniques to identify signatures of various diseases such as blood cancer."
Holger Hennig
Andrea Bagnacani "To realize research tools that make sense of biological data, I curate large datasets and implement software pipelines for data annotation, contextualization, and reuse, providing a mean to go from data to information."
Andrea Bagnacani