Project
Big data voor WOT: chemometrie, bioinformatica, data-analyse en mining van data
Dit project heeft tot doel om een overzicht te geven van de mogelijkheden en voordelen van Big Data analytics voor de veiligheidsbeoordeling van voedselproducten.
De kracht van Big Data zal worden gedemonstreerd in twee case studies: (i) multi-omics benaderingen om de toxiciteit van hormoonontregelende stoffen te bestuderen, (ii) ontwikkelen van methoden om risico’s in de melkketen te kunnen voorspellen.
Publicaties
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The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data
: arXiv - p. -
RIKILT: WUR Data Champion in Food Safety Research!
RIKILT: WUR Data Champion in Food Safety Research!, OpenScience blog Wageningen University & Research, 2018-02-08, https://weblog.wur.eu/openscience/rikilt-wur-data-champion-in-food-safety-research/ -
Differential gene expression in iPSC-derived human intestinal epithelial cell layers following exposure to two concentrations of butyrate, propionate and acetate
Scientific Reports 12 (2022)1. - ISSN 2045-2322 -
Big data in food safety; an overview
Critical Reviews in Food Science and Nutrition 57 (2017)11. - ISSN 1040-8398 - p. 2286 - 2295. -
Big data food safety
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Big data food safety
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Big Data in Relation to Food Safety and Food Security
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Big Data in Food Safety: Prediction of Chemical Food Safety Hazards and Food Fraud
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Artificial intelligence to detect unknown stimulants from scientific literature and media reports
Food Control 130 (2021). - ISSN 0956-7135 -
A system approach towards prediction of food safety hazards : Impact of climate and agrichemical use on the occurrence of food safety hazards
Agricultural Systems 178 (2020). - ISSN 0308-521X