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Alexander Platzer
Dr. Alexander PlatzerBioinformatics

Department of Medicine III (Division of Rheumatology)

T +43 1 40400 43530


Artificial Intelligence; Data Mining; High-Throughput Nucleotide Sequencing; Statistics

Research interests

My research interests include all kind of data analysis. Previously, before I focussed on medical data, I analyzed also data in physics, cryptography, video data and network/telecommunications. The main focus was always biological data, because of my study and because of the more tricky problems. Emphasis is more on the empirical side (= real data). The current points are classification models, pattern search and this or other methods with large amounts of data (sequencing data, also combined with other data).

Techniques, methods & infrastructure

machine learning, statistics (in R, matlab and mathematica), programming (perl, C/C++, java, bash, ...), usage of computer clusters (slurm, SGE).

Selected publications

  1. 1001 Genomes Consortium, 2016. 1,135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana. Cell, 166(2), pp.481-491. Available at:
  2. Watson, J.M. et al., 2016. Germline replications and somatic mutation accumulation are independent of vegetative life span inArabidopsis. Proceedings of the National Academy of Sciences, 113(43), pp.12226-12231. Available at:
  3. Platzer, A., Nizhynska, V. & Long, Q., 2012. TE-Locate: A Tool to Locate and Group Transposable Element Occurrences Using Paired-End Next-Generation Sequencing Data. Biology, 1(3), pp.395-410. Available at:
  4. Catchpole, G. et al., 2009. Metabolic profiling reveals key metabolic features of renal cell carcinoma. Journal of Cellular and Molecular Medicine, 15(1), pp.109-118. Available at:
  5. Platzer, A. et al., 2007. Characterization of protein-interaction networks in tumors. BMC Bioinformatics, 8(1), p.224. Available at: