Algorithms in Bioinformatics


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Algorithms in Bioinformatics

Welcome to Daniel Huson's Lab

The main focus of our lab is on developing new and advanced algorithms for bioinformatics. Here is a short list of our current main research interests:

  • Phylogenetic networks and trees
  • Metagenome analysis and simulation
  • Genome resequencing and analysis
  • Evolution and ecology
  • Models, algorithms, software and complexity

For more details, see the research section and our list of publications.

Most recent publications:

Vågene, AJ, Herbig, A, Campana, MG, Robles Garcia, NM, Warinner, C, Sabin, S, Spyrou, MA, Andrades Valtueña, A, Huson, D, Tuross, N, Bos, KI, and Krause, J (2018). Salmonella enterica genomes from victims of a major sixteenth-century epidemic in Mexico. Nature Ecology & Evolution, 2(3):520–528.

Górska, A, Peter, S, Willmann, M, Autenrieth, I, Schlaberg, R, and Huson, D (2018). Dynamics of the human gut phageome during antibiotic treatment. Computational Biology and Chemistry.

Recent news:

PLOS Computational Biology Research Prize 2017: "MEGAN Community Edition – Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data" won the Exemplary Methods/Software prize 2017 in PLOS Computational Biology.

Best poster award Biovis 2017: Interactive pan genome visualization using variant graphs

MEGAN Community Edition: A new Community Edition of MEGAN is available as Open Source (GPL V3 License) here: https://github.com/danielhuson/megan-ce

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