University Hospital Heidelberg

Klaus Tschira Institute for Integrative Computational Cardiology

Department of Internal Medicine III - Section of Bioinformatics and Systems Cardiology


Christoph Dieterich

Post-transcriptional network analysis is one necessary building block to advance our understanding of cardiovascular health and disease. The Dieterich Lab works on a number of computational and statistical methods to elucidate processes and mechanisms at RNA and protein level.

Our current research agenda strengthens RNA topics in a cardio-vascular context and expands into the emerging field of Integrative Computational Cardiology, which integrates and jointly models different data sources for personalized medical approaches. Ultimately, we want to understand how variations between individuals (genetic, lifestyle) lead to different phenotypic outcomes.


Computational RNA Biology

  • RNA modifications

  • RNA splicing and 3’ end formation

  • RNA stability and translation

  • RNA-RNA and RNA-Protein interactions

  • ncRNAs (lncRNAs and circular RNAs in particular)

  • Bio-medical web applications and databases

Bio-medical data integration and dissemination

  • Systems cardiology by gene network analysis

  • Bio-medical web applications and databases

Selected publications on lncRNA

pulseR: Versatile computational analysis of RNA turnover from metabolic labeling experiments
Uvarovskii A, Dieterich CBioinformatics. 2017, 33(20):3305-3307.

Identification of circular RNAs with host gene-independent expression in human model systems for cardiac differentiation and disease
D. Siede, K. Rapti, A.A. Gorska, H.A. Katus, J. Altmüller, J.N. Boeckel, B. Meder, C. Maack, M. Völkers, O.J. Müller, J. Backs, C. DieterichJ Mol Cell Cardiol. 2017.


Im Neuenheimer Feld 669
69120 Heidelberg