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
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
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