Due to the highly dynamic nature of growth, data gathered through molecular analyses and high-throughput phenotyping often require custom developed software to fully capture the underlying biology. Therefore, we apply statistical techniques and machine learning approaches to link genomic and transcriptomic data to phenotypical data, to identify enhancers that drive growth-related genes and to identify spatial and temporal gradients.
Our new collaboration with ESA and BELSPO to study maize growth in space is highlighted in the link below!
https://www.vrt.be/vrtnws/nl/2022/05/11/droogte-en-landbouw/
We collaborate closely with the Innovative Breeding team: https://www.inzelab.be/
We are part of the BOOSTER project: https://boosterproject.eu/
We participate to Plants for the Future: https://www.plantetp.eu/
We contribute to the Plant Cell Atlas: https://www.plantcellatlas.org/
We support genome editing in European agriculture: https://www.eu-sage.eu/
In our weekly group meetings, we not only discuss science, but also focus on the well-being of the team. We make time for regular social activities, consider individual stress barometers and constantly look for new initiatives to create an atmosphere that promotes and maintains a sense of belonging. We encourage collaboration within the team, but also with our partners from academia, industry and other stakeholders. We strive to recognize the value and dignity of everyone and respect talents, beliefs, backgrounds and lifestyles.
