candYgene

Prediction of candidate genes for traits using interoperable genome annotations

Image: Pluma (CC License)

Enabling precision breeding

Food demand is projected to increase by 50% in 2030. One way to tackle this challenge is by breeding new crops to ensure food security; crops, for example, that are more resistant to drought. Genetics research is increasingly focusing on mining genome annotations to identify the genes that are likely to be responsible for specific traits we would like to see improved. Since these annotated genome datasets are growing exponentially, and as humans are unable to quickly and easily convert this data into useful information, an eScience infrastructure will be designed to process all this data effectively and make it insightful.

Participating organisations

Life Sciences
Life Sciences
Netherlands eScience Center
Wageningen University & Research

Impact

Output

What we can learn from tomatoes — feeding the planet with improved plant breeding

Author(s): Netherlands eScience Center
Published in 2018

Flavour your linked data with garlic

Author(s): Carlos Martinez-Ortiz
Published in 2018

Team

Arnold Kuzniar
Arnold Kuzniar
eScience Research Engineer
Netherlands eScience Center
Gurnoor Singh
Gurnoor Singh
PhD student
Wageningen University and Research
Lars Ridder
Lars Ridder
eScience Coordinator
Netherlands eScience Center
RF
Richard Finkers
Principal investigator
Wageningen University and Research
RV
Richard Visser
Principal investigator
Wageningen University and Research

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