“Understanding complex traits like aging necessarily requires a systems approach”

Prof. Andreas Beyer

Prof. Andreas Beyer studied Systems Science at the University of Osnabrück, where he received his PhD in 2002. He has held postdoctoral positions at the Leibniz Institute for Age Research in Jena (with Thomas Wilhelm) and at the University of California in San Diego (with Trey Ideker). From 2007 - 2012 he was an independent group leader at the BIOTEC, TU-Dresden. In 2013 he joined the Sybacol consortium as a professor for Systems Biology at the University of Cologne/University Hospital Cologne. His work focuses on the integration of functional genetics with interactome data in order to understand the functioning of cellular systems. Andreas Beyer serves as deputy coordinator responsible for the data-analysis/modelling projects of the Sybacol initiative.

Research interests

  • Network biology
  • Statistical genetics
  • Integration of different large-scale datasets into one model 

Previous scientific achievements

Prof. Beyer has made seminal contributions to the development of new methods for the analysis of large scale network datasets. These datasets include various “omics” data, like transcriptomics, proteomics and interactomics. A special focus of his work lies on the integration of experimentally acquired and computationally derived data. 

Current projects

Within Sybacol, the Beyer group focuses on the integration of the datasets generated by the different Sybacol experimental groups into statistical models. The close interaction with experimental groups and theoretical groups and the understanding of their respective methods and requirements gives Prof. Beyer the role of a central hub within the Sybacol initiative.

 

Selected Publications

Sikora-Wohlfeld, W., Ackermann, M., Christodoulou, E.G., Singaravelu, K., and Beyer, A. (2013). Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data. PLoS Comput. Biol. 9, e1003342

Ackermann M, Sikora-Wohlfeld W, Beyer A. (2013). Impact of natural genetic variation on gene expression dynamics. PLoS Genet. 9, e1003514

Ackermann, M., and Beyer, A. (2012). Systematic detection of epistatic interactions based on allele pair frequencies. PLoS Genet. 8, e1002463.

Elefsinioti, A., Saraç, Ö.S., Hegele, A., Plake, C., Hubner, N.C., Poser, I., Sarov, M., Hyman, A., Mann, M., Schroeder, M., et al. (2011). Large-scale de novo prediction of physical protein-protein association. Mol. Cell. Proteomics 10, M111.010629.

Michaelson, J.J., Alberts, R., Schughart, K., and Beyer, A. (2010). Data-driven assessment of eQTL mapping methods. BMC Genomics 11, 502.

Picotti, P., Clément-Ziza, M., Lam, H., Campbell, D.S., Schmidt, A., Deutsch, E.W., Röst, H., Sun, Z., Rinner, O., Reiter, L., et al. (2013). A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis. Nature 494, 266–270.

Saraç, O.S., Pancaldi, V., Bähler, J., and Beyer, A. (2012). Topology of functional networks predicts physical binding of proteins. Bioinformatics 28, 2137–2145.

 

Organisation / Institute
CECAD
University of Cologne
http://cellnet.cecad.uni-koeln.de/

Address
Prof. Andreas Beyer
CECAD Building
Joseph-Stelzmann-Straße 26
50931 Köln, Germany

andreas.beyer@uni-koeln.de


Prof Beyer is also a member of the Competence Area Quantitative modeling of complex systems (CA III) within the University of Cologne framework of the Excellence Initiative launched by the Federal Government and the Federal States.