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- Gentzbittel, Laurent; Ben, Cécile; Mazurier, Mélanie; Shin, Min-Gyoung; Lorenz, Todd; Rickauer, Martina; Marjoram, Paul; Nuzhdin, Sergey V.; Tatarinova, Tatiana V.
- Genome biology 2019 v.20 no.1 pp. 106
- Geographical Locations, etc ; Medicago truncatula; algorithms; disease resistance; genome; genomics; models; phenotype; phenotypic variation; prediction; Show all 10 Subjects
- ... 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 wil ...