Chair of Bioinformatics

Welcome to the Department of Bioinformatics

About us

Our department of bioinformatics is already by its name and by the composition of its members highly interdisciplinary (scientists with medical and biological training, computer science, mathematics, as well as with a background in chemistry, pharmacology) and as we require for new insights large amounts of data (genomics, transcriptomics, proteomics, metabolomics).

Major topics we currently analyze are:

systems biology, in particular modeling responses of different tissues in cancer, System responses in plant tissues, during infection (immune cells, fungi, bacteria) and in cardiovascular disease; systems biology of prokaryotes such S.aureus and Chlamydia;

Analysis of protein sequence and structure: Protein structures are modelled in detail to identify new drugs, understand dimerization interactions and to learn their function. We also do molecular dynamic simulations to monitor changes over time. A new effort is protein engineering, focussing on light-gated polymerases and nucleases with the application aspect of establishing a new type of computer chip based on this ingredients and nanocellulose.

Regarding RNA, we are interested in its sequence structure and regulation. A hot topic are new types of RNA such as lncRNAs, miRNAs;

We model organisms and interactions, and use bioinformatics also in the analysis of genome, transcriptome and metabolome data;

Medical aspects concern infection biology, e.g. human-fungal infection, graduate students 3D infects, plant-pathogen interactions; in cancer (lung and others) and cardiovascular research (platelets; lncRNAs and kinases in cardiomyocytes);

Further interests are prokaryotic metabolism and adaptation; neurobiological activity and image analysis.

We collaborate with most groups of the biocenter as well as with the faculty of biology (including ecology where there are systems and species data), and numerous chairs in medical faculty. Further collaborations are also with computer sciences (databanks, e-learning, development of algorithms), chemistry (drug design), mathematics (differential equations), physicists, (systems biology).


Ohne Software geht Forschung nicht

Stammbaum der Sequenzanalyse

Die universelle Sprache der Hormone

Meik Kunz mit seinem Doktorvater Thomas Dandekar vor einem Poster mit den Ergebnissen seiner Doktorarbeit. (Foto: Uni Würzburg)

Krebstherapien besser planen


Lehrstuhl für Bioinformatik
Am Hubland
97074 Würzburg

Tel.: +49 931 31-84550
Fax: +49 931 31-84552

Suche Ansprechpartner

Hubland Süd, Geb. B1 Hubland Nord, Geb. 32 Julius-von-Sachs-Platz 2 Fabrikschleichach Hubland Süd, Geb. B2 Campus Medizin