The AlmaasLab’s research is within the field of Systems Biology, where the focus is on understanding the function of systems of biological components. This is a challenging task, since their sum is more than just a listing of the parts. Consequently, the nature of the interactions and the webs that they generate are quite important. We directly address these challenges by employing methods from complex network analysis.  In projects where network analysis is not obviously applied, we let network thinking inspire our approaches.  Since our group is mainly conducting computational and theoretical analyses, we have several close collaborations with experimental groups.
The research in our group is mostly divided into three main research topics:
  • Analysis and modeling of complex networks.
    While most of our activity is in biological networks, we are interested in a wide range of networks, from social to technological ones. We analyze and develop methods for investigating properties of these networks.
    [Read more here …]
  • Analysis of genome-scale cellular metabolism.
    Computational modeling of whole-cell or whole tissue metabolism has recently become a reality. We develop algorithms for their analysis and also build genome-scale metabolic networks for a variety of organisms.
    [Read more here …]
  • Epidemiological spread on complex networks.
    The spread of diseases or disease agents has radically changed human society multiple times throughout history. We use complex network theory to study the interplay between diseases and the structure of human contact network. In particular, we have studied the spread of antibacterial resistance in care facilities and the spread of multi-resistant STI’s in Norway. We are also part of the NTNU COVID-19 Task Force. [Read more here …]
  • Bacteriophage-bacteria experimental evolution.
    The rapid rise of microbes with resistance against single or multiple antibiotics is a major challenge to modern medicine. Phages, virus that uniquely target bacteria,  provide an alternative approach for treating bacterial infections. We conduct experiments to study evolutionary processes in designer systems with specific phage – bacteria interactions.
    [Read more here …]

Participation in research grants:

iGEM student competition in synthetic biology:

We have actively organized and support the NTNU team for the iGEM competition. The NTNU teams participated every year 2011-2018, with a wide variety of projects. More information is available [here]. For questions regarding the organization of current NTNU iGEM teams, please contact our colleague Assoc. Prof. Jochen Schmid.