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:

Xie, C, Goi, CL, Huson, DH, Little, PF, and Williams, RB (2016). RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys. BMC Bioinformatics, 17(19):277–282.

Huson, DH, Steel, M, El-Hadidi, M, Mitra, S, Peter, S, and Willmann, M (2016). A simple statistical test of taxonomic or functional homogeneity using replicated microbiome sequencing samples. Journal of Biotechnology, In press.

Recent news:

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

MALT paper: We have just posted a manuscript on MALT: bioRxiv doi: http://dx.doi.org/10.1101/050559

Tuebiom: The Tuebiom website is now up and running: http://www.tuebiom.de