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.
The in silico screening of genomic databases and own next generation sequencing data is applied to identify novel enzymes acting on polymers and for polymer synthesis. The identified biocatalysts for polymer processing are then engineered for improved technological features.
Comparative phylogeographic analyses focusing on distantly related but co-distributed species with proposed different dispersal abilities are an approved strategy to inference the effect of historical and/or contemporaneous processes driving species diversification. The present proposal is a pilot study that shall provide first insights into local- and large-scale phylogeographic patterns by comparing several co-distributed arboreal oribatid mite species with (presumed) different dispersal modes (phoretic versus non-phoretic behavior) in Europe. The use of “traditional” molecular techniques, plus modern next-generation sequencing (NGS) - a new application for population genetics and phylogeography in arachnids – will allow for illuminating recent (gene flow, genetic drift) and past (bottlenecks) evolutionary processes as far as population contractions/expansion and colonization routes, which had important impacts on contemporary intraspecific diversity of species that overlap in time and space. This is a joint project coordinated by Dr. Sylvia Schäffer, Institute of Zoology, Karl-Franzens University Graz, and Dr. Ingeborg Klymiuk, ZMF, Medical University of Graz.
Cancer therapy for patients with progressing metastatis is often hampered by the lack of further evidence based drug routes. This project aims to identify further applicable drugs by molecular analysis of samples from tumor, mestastatis and corresponding tissue of these patients. This is a joint project coordinated by Dr. Karl Kashofer, Institute of Pathology, Medical University of Graz and Dr. Bernhard Wieser, Interuniversitäres Forschungszentrum für Technik, Arbeit und Kultur.
The Omics Center Graz bundles the expertise and existing infrastructure in genomics, transcriptomics, proteomics, and metabolomics/lipidomics, as well as bioinformatics and administration of research centers in Graz. Special emphasis is put on bioinformatics and measurement capacity, in order to perform more comprehensive omic studies and multi- omic projects. Such organized strategies will facilitate the obtainment of sustainable knowledge from the largest European Biobank which is located in Graz, as well as the implementation of biomarker research in Graz. From this initiative highly profit next to molecular biomedicine, particularly the strong lipid research network and research competence centers with close connection to industry (e.g. ACIB, RCPE), and young researchers finding training in state of the art high end technologies in Graz.
The aim of this project is to develop a versatile and generally applicable method for high throughput determination of lipid structural fatty acid composition from LC-MS/MS data, easily adaptable to different mass spectrometers and experimental setups. The general applicability will be facilitated by a newly developed language for the description of MS/MS fragmentation spectra. Based on this language, a novel algorithm will identify the lipid and its deducible compositional features. The performance of the method will be verified in controlled and biological experiments. Furthermore, we want to supply a graphical user interface for the definition of rules describing the spectra, and supply pre defined rule sets for the most common mass spectrometers. This joint project is coordinated by Dr. Gerhard Thallinger with the partners Dr. Günther Hämmerle, Institute of Molecular Biosciences, Karl-Franzens University Graz, and Dr. Harald Köfeler, ZMF, Medical University of Graz.
The discovery, development and demonstration of biocatalysts for use in the industrial synthesis of chiral chemicals and our interest was to identify a new class of hydroxynitrile lyases. This project is carried out within acib by Dr. Margit Winkler in close collaboration with Prof. Karl Gruber (UniGraz), Prof. Ruth Birner-Grünberger (ZMF and Omics Centre) and Dr. Gerhard Thallinger (TU Graz)
The cichlid fishes of Lake Tanganyika represent the oldest and ecomorphologically most advanced adaptive radiation and several lineages radiated in parallel. We chose the tribe Tropheini to study adaptive evolution and propose to decipher the genomes of two highly divergent members of the Tropheini, the epilithic algae feeder Tropheus moorii, and the unicellular algae comber Petrochromis trewavasae. This is a joint project coordinated by Prof. Christian Sturmbauer, Institute of Zoology, Karl-Franzens University Graz, Dr. Christian Gülly, ZMF, Medical University of Graz and Prof. Christian Schlötterer, Veterenary University Vienna.
Gerhard ThallingerDipl.-Ing. Dr.techn.
For more information visit our team website.