Integrated Research and Treatment Center Center for Sepsis Control and Care (CSCC) Jena University Hospital | Am Klinikum 1 | 07747 Jena | Deutschland
Tel: +49 3641 532 1189 Fax: +49 3641 532 0800
Major research topics
Pattern analysis on networks, alternative splicing detection using RNA sequencing data, detection of drug targets in metabolic networks of pathogens, flux balance analysis, regulatory network analysis
Since March 2013
Faculty position at the Jena University Hospital, group leader of the Bioinformatics group Systemsbiology of sepsis/König-Lab
Feb 07 – March 13
Research group leader at the Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg
Dec 04 – Feb 07
Postdoctoral researcher at the University of Heidelberg, Institute of Pharmacy and Molecular Biotechnology
Jan 2000 – Dec 04
Postdoctoral researcher at the German Cancer Research Center, Heidelberg
Sep 99 – Jan 2000
Teaching internship at the Bunsen-Gymnasium Heidelberg
Dec 96 – Sep 99
Pre-doctoral researcher at Heidelberg University and the European Molecular Biology Laboratory, (EMBL), Heidelberg
1989 – 1996
Studies in Physics and Mathematics at the Universities of Freiburg, Sussex (UK) and Heidelberg
Bachelor final year project at the University of Sussex, UK
Habilitation (postdoctoral lecture qualification) in bioinformatics at the Faculty of Life Sciences, University of Heidelberg
Dr. sc. hum. in biochemistry, Medical Faculty, University of Heidelberg
State exam in mathematics and physics , University of Heidelberg
Diploma degree in physics, University of Heidelberg
Five selected publications
Aschoff, M., Hotz-Wagenblatt, A., Glatting, K.H., Fischer, M., Eils, R. & König, R., SplicingCompass: differential splicing detection using RNA-Seq sequencing data (2013). Bioinformatics, 29, 1141.
Kranz, A.L., Eils, R., König, R. (2011). Enhancers regulate progression of development in mammalian cells, Nucleic Acids Res., 39, 8689-702.
Bauer T, Eils R, König R. (2011). RIP: the regulatory interaction predictor - a machine learning-based approach for predicting target genes of transcription factors, Bioinformatics, 27, 2239-47.
Schramm, G., Wiesberg, S., Diessl, N., Kranz, A.L., Sagulenko, V., Oswald, M., Reinelt, G., Westermann, F., Eils, R. & König, R. (2010). PathWave: Discovering patterns of differentially regulated enzymes in metabolic pathways, Bioinformatics, 26, 1225-31.
Lewis, N., Schramm, G., Bordbar, A.,Schellenberger, J., Andersen, M., Cheng, J., Patel, M., Yee, A., Lewis, R., Eils, R., König, R., Palsson, B. (2010). Formulating multi-cellular models of metabolism in tissues: application to energy metabolism in the human brain, Nat. Biotechnology, 28, 1279.