- Keywords (University of Antwerp):Computer science (incl. applied informatics)
- Disciplines (University of Antwerp):Artificial intelligence, Other information and computing sciences, Scientific computing, Analysis of next-generation sequence data, Bioinformatics data integration and network biology, Bioinformatics of disease, Computational biomodelling and machine learning, Computational evolutionary biology, comparative genomics and population genomics, Computational transcriptomics and epigenomics, Development of bioinformatics software, tools and databases, Bioinformatics and computational biology not elsewhere classified, Infectious diseases, Parasitology, Posttranslational modifications, Transcription and translation, Epigenomics, Genomics, Metabolomics, Proteomics, Transcriptomics, Systems biology not elsewhere classified
- Users of research expertise
(Institute of Tropical Medicine):
Bart graduated as a Master in Biology: Cell & Systems Biology at the University of Antwerp in 2013. Currently he is a final year PhD Student in Systems Biology, Bio-informatics and Data Mining, holding an ‘Aspirant’ Fellowship of the FWO. He works in two research groups and combines the techniques of both. At one side he is member of the ADReM group (Advanced Database Research and Modelling) at the University of Antwerp and working under supervision of Prof. dr. Kris Laukens. Their research focusses on bio-informatics, data-mining and network biology with a vast variety of applications. Secondly, he is part of the Molecular Parasitology Unit (MPU) lead by Prof. dr Jean-Calaude Dujardin, located in the Institute of Tropical Medicine, Antwerp.
Specifically, Bart studies the parasite Leishmania donovani, which is responsible for the disease visceral leishmaniasis. Each year, over 5 million people contract this disease, which is lethal without treatment. His research focusses on unraveling developmental and drug-resistance mechanisms of the parasite by collecting (wet-lab, MPU) and integrating genomics, transcriptomics, proteomics and metabolomics data (ADReM).