Machine learning
My research involves the development and application of computational methods with the ultimate goal to understand plant development. In particular, I am interested in the question how to analyze the large amount of genome sequences and other -omics data that are available nowadays. A lot of data is gathered nowadays, but it is far from trivial to obtain biological insights from these data. To do so, I use machine learning; starting from available knowledge, these methods deliver novel predictions which are subsequently tested by colleagues working in the lab.
Typical examples of projects include:
- Prediction of functional sites in protein sequences
- Analysis of transcription factor binding sites
- Modelling of regulatory networks
- Prediction of functions of genes
- Analysis of alternative splicing
Publications
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Dutch cabinet invests EUR42 million in CROP-XR institute for faster development of resilient agricultural crops
Dutch cabinet invests EUR42 million in CROP-XR institute for faster development of resilient agricultural crops, M2 PressWIRE, 2022-04-18 -
Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics
Frontiers in Artificial Intelligence 5 (2022). - ISSN 2624-8212 -
Pentapetalae cytochrome P450 mRNA, complete cds.
: Wageningen University & Research -
The tomato cytochrome P450 CYP712G1 catalyzes the double oxidation of orobanchol en route to the rhizosphere signalling strigolactone, solanacol
New Phytologist 235 (2022)5. - ISSN 0028-646X - p. 1884 - 1899. -
Smart search for traits
Slim zoeken naar eigenschappen, Resource jrg. 16 nr. 3 p. 7-7, 2021-09-30, https://edepot.wur.nl/555024;Smart search for traits, Resource jrg. 16 nr. 3 p. 7-7, 2021-09-29, https://edepot.wur.nl/555087 -
A THP-1 Cell Line-Based Exploration of Immune Responses Toward Heat-Treated BLG
Frontiers in Nutrition 7 (2021). - ISSN 2296-861X -
Chasing breeding footprints through structural variations in Cucumis melo and wild relatives
: Wageningen University -
Similarities between plant traits based on their connection to underlying gene functions
PLoS ONE 12 (2017)8. - ISSN 1932-6203 -
Sequence-based analysis of protein degradation rates
Proteins : Structure, Function, and Bioinformatics 85 (2017)9. - ISSN 0887-3585 - p. 1593 - 1601. -
An interactomics overview of the human and bovine milk proteome over lactation
Proteome Science 15 (2017). - ISSN 1477-5956