Principal investigator in B1.
Full professor in bioinformatics at FSU Jena
I study the analysis of high-throughput transcriptom and genome data.
For transcritom data (RNA-Seq, microarrays), I perform preprocessing and statistics to identify differentially expressed genes, as well as their functional analysis. My main focus is the analysis of transcriptom data
from human fungal pathogens in infection related conditions (f.e. nutrient limitation) as well as during the interaction with the host (dual RNA-seq).
Experimental data is used to set up mathematical models for
Prof. Dr. Thomas Dandekar
Position Professor and Chairman
Dept. of bioinformatics,
University of Würzburg
Career 1979-1986 Studies in medicine at the Ludwig Maximilians University of Munich
1982-1986 MD, Max Planck Inst. of Psychiatry, Dept. Neuropharmacology, Martinsried
1987-1988 Post-Doc, Institute Pasteur, Paris
1988- now Scientist at the European Molecular Biology
Primary hepatocytes were exposed to a stimulus by exchanging culture medium, thereby simulating changes in the blood composition. The expression of genes at different time points was recorded. Differentially expressed genes were clustered using fuzzy c-means algorithm into five groups. The arcs of the possible network were identified using the NetGenerator algorithm under the restriction of biological knowledge. The analysis was restricted to the main metabolic pathways of hepatocytes. The reverse
Contributor: Thomas Wolf
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Date Published: 30th Jul 2017
Journal: Biochem Soc Trans
PubMed ID: 28754658
Citation: Biochem Soc Trans. 2017 Jul 28. pii: BST20170137. doi: 10.1042/BST20170137.
Date Published: 18th Feb 2017
Journal: PLoS Comput Biol
PubMed ID: 28212377
Citation: PLoS Comput Biol. 2017 Feb 17;13(2):e1005371. doi: 10.1371/journal.pcbi.1005371. eCollection 2017 Feb.