Prof. Dr. Kay Nieselt

Group leader of Integrative Transcriptomics

Center for Bioinformatics Tübingen, Wilhelm-Schickard-Institut für Informatik, University of Tübingen

Transcriptome data generated either by microarray or next-generation sequencing technologies pose a rich set of bioinformatics challenges. Our group develops new and efficient algorithms for the analysis as well as visualization of expression data, where we put an emphasis on integrating transcriptome also with genome data. Furthermore, our analysis is not restricted to protein-coding genes, an important part of our research is devoted to small non-coding and antisense RNAs.<br/>

Our software frameworks are designed to be both user-friendly as well as powerful platforms for continued algorithm development.

Current Research Topics

  1. Computational Genomics and Transcriptomics of protein-coding genes and non-coding RNAs Mayday, TSS Predator
  2. Visualisation of Biological Data Reveal, inPHAP, SpRay, GenomeRing
  3. Computational Paleogenetics EAGER



Bachelor courses

Master courses