Skip to main content


Alexander Platzer
Dr. Alexander PlatzerBioinformatics

Department of Medicine III (Division of Rheumatology)

T +43 1 40400 20360


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. et al., 2019. Analysis of gene expression in rheumatoid arthritis and related conditions offers insights into sex-bias, gene biotypes and co-expression patterns P. Bobé, ed. PLOS ONE, 14(7), p.e0219698. 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., 2013. Visualization of SNPs with t-SNE V. Brusic, ed. PLoS ONE, 8(2), p.e56883. Available at: