Algorithms in Bioinformatics


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Research

The main focus of our lab is on developing new and advanced algorithms for bioinformatics. To find out more about our research, please see our list of publications and our list of talks.

Here is a short list of our current main research interests:

Phylogenetic trees and networks - Development of new algorithms for computing and drawing phyogenetic trees and networks, within the frame-work of a DFG financed project PhyloNet. New methods developed in this area are made available in the programs SplitsTree and Dendroscope.

Metagenomic analysis - In joint work with the Schuster lab, development of new methods and algorithms for analysis metagenomic datasets. New methods developed in this area are made available in the programs MEGAN and MetaSim.

Resequencing and genome analysis - In joint work with the Weigel lab, within the frame-work of the BMBF financed GAB-GNADE project, we are working on new algorithms for assembling and analysing resequenced plant genomes. NRPS and PKS - In joint work with the Wohlleben lab, we have worked on the development of methods for predicting the specificity of domains NRPS and PKS genes, see our NRPSPredictor tool.

miRNAs - Joint work with the Weigel lab, we have worked on discovering new miRNAs, see our MicroHarvester tool.

Evolution and Ecology - Joint work with Michel Kucera and Nico Michiels within the frame-work of EvE.

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