Complex systems – University of Copenhagen

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Uni-Bio Lab > Research > Complex systems

We use agent based modeling to capture the possible mechanisms of species coexistence, epidemics and concurrent immunity spread of multiple competing diseases, or to explore the role of bacterial immunity (CRISPR) in phage-bacteria ecosystem. We have also developed a number of tools to analyze complex networks from an informaton perspecitve.

Species coexistence and bacterial immunity (CRISPR)

  1. Targeted bacterial immunity buffres phage diversity. /  Härter, Jan Olaf Mirko; Trusina, Ala; Sneppen, Kim.In: Journal of Virology, Vol. 85, No. 20, 21.08.2011, p. 10554-10560.

Epidemics and concurrent immunity spread of multiple competing diseases

A minimal model for multiple epidemics and immunity spreading. /  Sneppen, Kim; Trusina, Ala; Jensen, Mogens Høgh; Bornholdt, Stefan.In: PLoS ONE, Vol. 5, No. 10, 18.10.2010, p. e13326.

Information perspective in complex networks 

  1. Networks and Cities: An Information Perspective. / Rosvall, M; Trusina, Ala; Minnhagen, P; Sneppen, Kim.

    In: Physical Review Letters, Vol. 94, No. 2, 028701, 2005.
  2. In: Europhysics Letters, Vol. 69, No. 5, 03.2005, p. 853-859.
  3. Functional alignment of regulatory networks: a study of temperate phages. / Trusina, Ala; Sneppen, Kim; Dodd, Ian B.; Shearwin, K. E.; Egan, J. B.In: PLoS Computational Biology, Vol. 1, No. 7, 2006.