Matilda Berkell - ESR10


An integrated sequencing pipeline for C. difficile characterisation and diagnostics

Clostridium difficile is the most common cause for antibiotic-associated diarrhea in the hospital setting. Current PCR-based diagnostic tools allow for binary detection of the organism and do not provide information predictive of infection severity. This PhD aims at the development of a novel sequencing-based typing technique of C. difficile for diagnostic and epidemiologic purposes, and to study the interactions of C. difficile with the host microbiome before and after development of infection. This includes comparative genomics of reference strains with varying virulence for characterization and development of a sequence-based typing technique, and metagenomics for biomarker prediction. 






My scientific interests include next-generation sequencing, bioinformatics, clinical and molecular biology, molecular diagnostics.





KTH Royal Institute of Technology, Sweden
MSc Medical Biotechnology 2016





  • University of Antwerp – Vaccine and Infectious Disease Institute
    Campus Drie Eiken – Universiteitsplein 1
    2610 Antwerpen


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