Projects
Advanced AI-driven Bioinformatics Solutions for Performant Peptidomics Ghent University
Peptidomics is not a new field, but is currently rapidly expanding. The promise of looking at peptide components of tissues or organisms has been well-known for a long time, but methodological issues have held the field back. The renewed interest today is primarily driven by better wet-lab approaches and improved instrumentation, but the necessary bioinformatics algorithms to interpret the acquired data currently lag behind, creating a ...
Improved data-driven bioinformatics tools to greatly extend neo- and xeno-epitope landscapes detected by immunopeptidomics. Ghent University
Vaccination has proven to be very successful, resulting in the eradication of smallpox and the near-eradication of poliovirus, for example. Currently, vaccination is available for over 29 diseases and is estimated to prevent over 3 million deaths a year. However, for some diseases such as cancer and tuberculosis, effective vaccines are not yet available. A major problem in developing vaccines for diseases such as cancer and those caused by ...
Identification of pan-cancer and tumor-specific methylation based biomarkers and development of bioinformatics infrastructure for a novel multiplex methylation assay. University of Antwerp
Rational design and synthesis of antagonists of the TSLP complex using chemo- and bioinformatics approaches. University of Antwerp
Deciphering gene regulatory networks and cis-regulatory codes in Drosophila through a combination of genetic perturbations, digital gene expression, and bioinformatics. KU Leuven
Developing data mining methods for bioinformatics. KU Leuven
A bioinformatic toolbox for the analysis and optimization of a high-throughput deep mutational scanning assay: development and case-study Ghent University
Deep Mutational Scanning (DMS) is a recent methodology for characterizing and functionally screening protein mutations by coupling a property of interest to a DNA-sequencing read-out. Via next-generation sequencing, its throughput is unmatched by traditional assays such as two-hybrid screening, which can only be realistically performed on a few variants at a time. To tackle the shortcomings of current DMS-implementations, we developed a new ...