Projects: A1, A2, A3, A4 (E), A5, A6, B1, B2, B4, B5, C2, C1, C3, C4 (E), C5, C6 (E), FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, FungiNet total, INF, Z1, Z2, B3 (E), A7, A8, C7
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)
https://orcid.org/0000-0003-3862-6546Expertise: Systems Biology, Bioinformatics, Metabolic networks
Tools: Matlab, R, Python, Copasi, LaTeX, Systems biological modelling, Transcriptomics
PhD Scholar at University of Delhi, New Delhi, India. My research interest revolves around Multi-omic investigation of resistance mechanism in fungal pathogens.
Projects: B1, B2, FungiNet B - Bioinformatics projects, FungiNet total
Institutions: Julius Maximilians University Würzburg, Biocenter, Department of Bioinformatics
Expertise: Aspergillus fumigatus, Candida albicans, Host-Pathogen Interaction, Bioinformatics, Data Management, Integrative Data Analysis, Lichtheimia corymbifera, protein-protein interaction, Proteomics
Tools: Transcriptomics, Proteomics, Python, R, MySQL, Java, JavaScript, PHP, Phosphoproteomics, Network analysis
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 ...