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Koen van Ingen
Koen van Ingen
BSc student

Koen is working on the in silico analysis and selection of secondary metabolites in LC-MS data according to genomic information. The aim is to expand FERMO with a module that automatically predicts BGC, metabolites and their corresponding spectra, therefore increasing the accuracy of the analysis. Mitja and Justin will be supervising him during this thesis.


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Embedded in the  Bioinformatics Group  of the Plant Sciences Group at WUR wur_logo_small