[HTML][HTML] WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants

L Gentzbittel, C Ben, M Mazurier, MG Shin, T Lorenz… - Genome biology, 2019 - Springer
The explosive growth of genomic data provides an opportunity to make increased use of
sequence variations for phenotype prediction. We have developed a prediction machine for
quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks limiting the
current methods. We demonstrated its performance by predicting quantitative disease
resistance and quantitative functional traits in the wild model plant species, Medicago
truncatula, using geographical locations as covariates for admixture analysis. The method's …

WhoGEM: An admixture-based prediction machine accurately predicts quantitative functional traits in plants

G Laurent, B Cécile, M Mélanie, S Min-Gyoung, L Todd… - 2019 - elib.sfu-kras.ru
The explosive growth of genomic data provides an opportunity to make increased use of
sequence variations for phenotype prediction. We have developed a prediction machine for
quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks limiting the
current methods. We demonstrated its performance by predicting quantitative disease
resistance and quantitative functional traits in the wild model plant species, Medicago
truncatula, using geographical locations as covariates for admixture analysis. The method's …
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