Bioinformatics - from data to models in life science

Bioinformatics is an interdisciplinary field at the interface between computer science and the life sciences, with important applications in molecular medicine, healthy living, agriculture, biotechnology, green energy, and other areas. Not only does bioinformatics provide the information infrastructure on which these fields analyse their vastly growing repertoire of molecular data, but it is also becoming the data science and integration science that yield important new discoveries and thereby leverages society’s investment into the life sciences.

CUBE, the Division of Computational Systems Biology, is a group of bioinformaticians and computational biologists. We are interested in understanding of biological systems, ranging from single species to multi-species systems and ecosystems, based on data from large-scale bioanalytical methods. We develop, improve and apply computational methods for the interpretation of molecular information in biology, and establishes and analyses quantitative mathematical models.

CUBE is therefore highly engaged in basic research, in the translation of basic knowledge to medical and biological applications, and in the training of students on all educational levels. We support an innovative and open-minded, creative and collaborative atmosphere inside and outside our team, facilitate the exchange with the society and contribute to a vital and responsible research community in computational biology.

Specific research topics

  • Comparative genomics

    Life on earth has evolved for some billion years. Living organisms are found in virtually every environment, surviving and thriving in extremes of heat, cold, radiation, pressure, salt, acidity, and darkness. Often in these environments, only “simple” microorganisms are found [...]

  • Studying microbiomes by high-definition metagenomics

    Although microbial communities (“microbiomes”) are central to life on earth, they largely remained terra incognita until recently. By developing a quickly growing collection of tools in microbial systems biology we have just started learning about the compositions, interactions and functions [...]

  • Microbial symbionts and pathogens

    Annoying for most of us, but dangerous or even life threatening for particular persons: infections by pathogenic bacteria are never welcome. However, pathogenic lifestyle in nature is no bad habit – it has developed in evolution. Just the balance of [...]

  • Structuring the Protein Sequence Space

    Many biological and evolutionary questions are related to the structure of the protein sequence space and its partitioning into substructures represented by the all-against-all similarity relations. We are developing database resources providing pre-calculated sequence similarities and features for all known [...]

  • From microbial interactions to community dynamics

    Interactions are at the core of understanding community dynamics across many scales in biology. From molecular interaction networks, we have learned that organization and evolution of interactions provide higher order properties to the cell, such as robustness, adaptability, resilience, noise [...]