Projects: FungiNet total, INF, A1, A2, A3, A4 (E), A5, A6, B1, B2, B3 (E), B4, B5, C1, C2, C3, C4 (E), C5, C6 (E), FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, Z1, Z2
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)
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
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Name
Prof. Dr. Thomas Dandekar
Position Professor and Chairman
Affiliation
Dept. of bioinformatics,
Biocenter
University of Würzburg
Am Hubland
97074 Würzburg
Phone 0931-318-4551
dandekar@biozentrum.uni-wuerzburg.de
Born 23.07.1960
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
...
Bioprocess data analysis (data mining)
Transcriptomics and proteomics data analysis and modelling
Gene Regulatory Network inference (Reverse engineering)
Decision making support systems in diagnostics, therapy and biotechnology
