Genetics research is focusing more and more on mining fully sequenced genomes and their annotations to identify the causal genes associated with specific traits (phenotypes) of interest. However, a complex trait is typically associated with multiple quantitative trait loci (QTLs), each with hundreds of genes positively/negatively affecting the desired trait(s). Our aim is to develop a Big data analytics & semantic interoperability infrastructure for candidate gene prioritization that will aid breeders in the design of an optimal genotype with a desired trait(s) for a given environment.
|Publication status||Published - 2015|
Kuzniar, A., Gavai, A. K., Ridder, L. O., Bonino da Silva Santos, L. O., Singh, G., Visser, R. G. F., & Finkers, H. J. (2015). candYgene: enabling precision breeding through FAIR Data. https://doi.org/10.5281/zenodo.30554