Projects
Development of a micro-array spotting system for DNA analysis (MICROSPOT) Hasselt University
Novel algorithms for DNA microarrays data analysis. KU Leuven
Microarrays for the phenotypic characterization of axenic cultures, bacterial mutants and microbiome communities Ghent University
In recent years, research into microbiomes has exploded. To comprehensively understand the dynamic structure of microbiomes and their interaction with (host) environments, tools which go beyond metagenomic profiling are deemed required.
One such unique perspective is offered by phenotypic profiling, which based on the cellular metabolism of living cells and cellular communities permit the high-throughput quantitative evaluation of ...
Combined dual transcriptomic, proteomic and functional investigations to reveal host-pathogen interactions behind the virulence of foodborne pathogen Bacillus cereus Ghent University
A toxin-mediated infection of foodborne Bacillus cereus requires direct contact of viable B. cereus with its host for in-situ production of diarrheal enterotoxins. This direct contact leads to a cross-talk between a pathogen and its host. The interaction will be investigated by functional, cytotoxic and
transcriptomic approaches, using tools such as Seahorse flux analysis, RNAseq, microarrays, RTPCR, ELISA and mass-spectrometry.
Preclinical studies on anti-fibrotic effects of Neuregulin-1 University of Antwerp
Structured learning for hierarchically organized biological data Ghent University
Data mining in bioinformatics is confronted with complex data, which poses challenges w.r.t.
scalability and structured data types. One data structure that is often encountered in this context is
hierarchical data. For instance, gene functions can be structured in a hierarchy from more general
functions (e.g., “receptor activity”) to more specific functions (e.g., “G-protein-coupled
photoreceptor activity”). In many ...