Algorithms in Bioinformatics

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Bachelor theses

Here is a listing of possible topics for projects. Please come and see us if you want to learn more about the topics. Further suggestions are welcome. 


  • Analyse unterschiedlicher Zellpopulationen von und nach Therapie - Can Pinar -  Co-advisor: PD Stella Autenrieth (UKT)
  • Improved taxonomic profiles based on simulated binning - Kim Radke 
  • Completeness, contamination and annotation of long read metagenome datasets - Mario Rauh
  • Distinguishing between human and microbial long reads - AVAILABLE, contact: Caner Bacgi


  • Analysis of antimicrobial resistance in microbiome sequencing data - done
  • Application of MetaCyc in microbiome analysis - done
  • Classification of phages and visualization -  done
  • Comparison of different KEGG-based microbiome analysis approaches - done


  • Development of a MobileApp/Website for advising proper antibiotics usage - done
  • Phage identification in metagenomics - done
  • Fast computation of consensus splits - done
  • Structural variants of Bacteroides vulgatus - done
  • Ecoli assembly - done
  • NanoChain: An Empirical Nanopore Read Simulator - done


  • Design and implementation of a web portal for microbiome data - done
  • Analysis of microbiome data in the context of Adipositas - done
  • Analysis of publicly available 16S human gut microbiome data - done
  • Deploying bioinformatics tools in the cloud using Docker -done
  • Steered Molecular Dynamics of 2fdt structure - done
  • Influence of Processing on 16S Analysis Data - done


  • Visualisierung taxonomischer Daten mit Voronoi Trees - done
  • Fast comparison of metagenomic samples - done
  • Functional analysis using BioCyce - done
  • Genes associated with diabetes in the microbiome -done


  • Comparision of metagenomic DNA, done
  • Clouding computing in bioinformatics, done
  • Android app for phylogenetic trees - done
  • Hybrid approach to analysis of 16S rRNA data - done


  • Transskriptomanalyse von Krebszellen, done



  • Plattform für Next-Gen Transkriptomanalyse- done
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