Technical University of Graz

Institute of Computational Biotechnology - Sensen Team

Christoph W. Sensen is mainly interested in research topics related to Genome Research and Bioinformatics. Having worked previously in Canada, his group has participated in many large-scale Genome Projects, including recently an Oil Sands Metagenomics Research Program and the PhytoMetaSyn Program, which is related to the study of the Expressed Genes in 75 higher plants.

The Computational Biotechnology Group is conducting research, especially related to the identification of serum-based DNA markers for chronic diseases and the development of rapid and cost-effective screening systems for the presence of particular DNA Sequences in the environment, and is also providing services related to high-throughput Bioinformatics analyses.


Institute of Computational Biotechnology - Feichtinger Team

Julia Feichtinger's research focus lies on the large-scale analyses of transcriptomics and (epi)genomics data, in particular relating to long non-coding RNAs.

Exploiting the large amount of available sequencing data enables us to construct a comprehensive picture of gene expression patterns across tissues, diseases and cell types and, therefore, will help us to better understand the underlying mechanisms of gene expression regulation and its dysregulation in diseases.

Advances in this field will greatly promote molecular biology and clinical/biomedical research. Furthermore, we support biologists with biostatistics and bioinformatics analyses.


Institute of Computational Biotechnology - Thallinger Team

Our research covers management and processing of high-throughput screening data as well as the development of databases and tools for their computational analysis. Specifically we are interested in the analysis of diverse dataset generated with next generation sequencing technologies, mass spectrometry and the integration of multiple omics datasets in a joint evaluation.

The interdisciplinary team of bioinformaticians, biomedical engineers, chemists, engineers, and mathematicians at our lab builds a creative and inspiring environment to address hot topics in life sciences.


Institute of Biomedical Informatics

The institute of Biomedical Informatics is lead by Leila Taher develops and uses bioinformatics approaches to understand the biology of gene regulation.

Fifteen years after the completion of the Human Genome Project, its application to diagnosis, prevention, and treatment of diseases is still work in progress. The reason for this is that functional annotation has concentrated on the ~2% of the genome that codes for proteins. However, the genome also harbours non-coding sequences that regulate gene expression and are critical for normal embryonic development and adult tissue homeostasis. Mutations in these regulatory sequences are often associated with disease risk. Regulatory sequences comprise very diverse and difficult to characterize types of sequences, such as promoters, located near the genes they regulate, and enhancers, as far as hundreds of thousands to millions of base pairs away from any annotated genes. Recent studies have identified particular chromatin modifications that define functionally distinct strong non-coding sequences, yet it is still unclear how chromatin analyses can be leveraged to understand the underlying molecular mechanisms. As a result, the systematic identification and characterization of regulatory sequences remains a challenging problem.

We are interested in:

  • Advancing our knowledge of the structure, function, and evolution of regulatory sequences;
  • Gaining a predictive understanding of disease processes at the network level, to enable targeted and personalized therapeutic interventions.


Medical University of Graz

Core Facility Computational Bioanalytics

The Core Facility Computational Bioanalytics (CF-CBA) provides technical support and consultation to scientific and clinical investigators in the field of biostatistics and bioinformatics. Extensive support may be supplied as early as the study design phase up to the point of analysis, interpretation and visualization of complex data. The facility currently focuses on management and analysis of genomic and biological data in the field of in microbiome research, biomarker identification and variant classification studies. We also implemented and support computing infrastructure for NGS data analysis based on Galaxy Project


University of Graz

Institute of Molecular Biosciences

The institute of molecular biosciences comprises following core facilities:

  • Core facility preclinical MR
  • Core facility mass spectrometry
  • Core facility microscopy

The Institute of Molecular Biosciences focuses on several research topics with internationally visible research output. These research areas include

  • Energy and Lipid Metabolism
  • Cell Stress, Aging and Cell Death
  • Infection Biology
  • Structural Biology
  • Biophysics
  • Protein Synthesis
  • Nutrition Research



Two compute cluster systems are maintained by the university of Graz, Frodo and Sauron.


Operator: University of Graz

Hardware: 444 cores, 48 GB RAM per node, 20 TB storage

Software: bioinformatic specific programs

Homepage: Frodo



Operator: University of Graz

Hardware: 1584 cores, up to 256 GB RAM per node, 100 TB storage

Software: bioinformatic specific programs

Homepage: Sauron