Projects
Twinning of research activities for the frontier research in the fields of food, nutrition and environmental ‘omics KU Leuven
Objective
The objective of FoodEnTwin is to create a networking collaboration among the University of Belgrade – Faculty of Chemistry (UBFC) and its Center of Research Excellence for Molecular Food Sciences (CoE MFS) and four high renowned institutes from Sweden, Austria and Belgium providing a unique opportunity for UBFC and its partners to increase their scientific excellence and visibility, technology innovation capacity and enable ...
Closing the gap between sleeping sickness patients and "omics" studies of the parasite Institute of Tropical Medicine
BIOMEX: a software to alleviate the bottlenecks in the analysis-to-interpretation pipeline of omics datasets KU Leuven
The amount of biological data, generated with (single cell) omics technologies, is rapidly increasing, thereby exacerbating bottlenecks in the data analysis and interpretation of omics experiments. To alleviate these bottlenecks, we developed BIOMEX, a flexible and easy-to-use data mining software developed for the Biological Interpretation Of Multi-omics EXperiments. BIOMEX aims to bridge the gap between experimental biologists and access to ...
Boosting the production of innovative bola amphiphiles by applying integrated omics analyses. Ghent University
Bio-degradable and bio-based surface-active agents are a renewable and environmentally friendly
alternative to petroleum derived or oleochemical surfactants. I will conduct research on the
innovative bola amphiphilic sophorolipids (bola SL) produced by Starmerella bombicola. These
molecules can be applied in cosmetics, pharma, nanotechnology,... Recent EU-funded research
(IB2market)
demonstrated that there is a ...
Integrating untargeted OMICS markers that link maternal BMI to adiposity and cardiovascular development in early childhood Hasselt University
Methods for Integrated analysis of Mulptiple Omics datasets : MIMOmics Hasselt University
SpaceTimeOmics: combining high-throughput spatial omics with AI to model gene regulation in space and time KU Leuven
Tracking and understanding cellular differentiation during the development of a multicellular organism at single-cell resolution is a long-standing challenge in biology. While single-cell multi-omics, combined with genomic sequence analysis, provides a powerful means to infer gene regulatory networks for a specific tissue, or for a specific time point (i.e., a snapshot), such approaches are limited in throughput and lack the power to ...
Network representations of large-scale omics data KU Leuven
The transformative technological innovations in molecular biology have led to a huge avalanche of omics data, including genomics, transcriptomics and proteomics. At the same time new technologies for data management have been developed for dealing with big data. This project will introduce these new information technologies to the storage of omics data and develop novel querying methodologies that were not possible with classical database ...
Identifying disease genes and mechanisms through nonlinear fusion of omics data KU Leuven
As different types of omics data (genomic variation, gene expression, proteomics, etc.) keep accumulating at ever increasing speed, integratively analyzing such data to facilitate the experimental identification of which genes and variants are associated or causative for disease, better understand pathogenic mechanisms, and predict potential drug target or therapeutic strategies is also growing challenge. Starting from earlier work on gene ...