The Department of Bioinformatics is participating in the Heart Research Center Göttingen (HRGC, a partner in the German Center for Cardiovascular Research / Deutsches Zentrum für Herz-Kreislauf-Forschung, DZHK).

The frame of the collaboration comprises several topics. Current research is focused on the evaluation of the DNA microarray experiments carried out at the Department of Cardiology and Pneumology, at the Department of Pharmacology, as well as by other participants of the HRCG. The immense recent growth in knowledge in the systems biology and network analysis has established new benchmarks in the analysis of microarray data. In the frame of the collaboration, we aim at an interdisciplinary integration of the partner's experimental knowledge in tissue engineering with case-tailored statistical and computational methodologies in order to help experimenters in analyzing their data by bringing together input from all aspects of theoretical molecular biology.

These sources comprise the wealth of knowledge contained in the TRANSPATH and TRANSFAC libraries on signal transduction and transcription factor binding sites, combined with a unique tool set designed to evaluate the TRANSFAC data for the benefit of binding site prediction. Moreover, we envisage to incorporate the state of the art in computational statistics, dealing with its considerable challenges from multiple testing and high-dimensionality with intricate dependency structures.



Zeidler, S., Meckbach, C., Tacke, R., Raad, F. S., Roa, A., Uchida, S., Zimmermann, W. H., Wingender, E. and Gültas, M.:
Computational detection of stage-specific transcription factor clusters during heart development
Front. Genet. 7, 33 (2016).
doi: 10.3389/fgene.2016.00033  link