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WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
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 per...
Autores principales: | Gentzbittel, Laurent, Ben, Cécile, Mazurier, Mélanie, Shin, Min-Gyoung, Lorenz, Todd, Rickauer, Martina, Marjoram, Paul, Nuzhdin, Sergey V., Tatarinova, Tatiana V. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537182/ https://www.ncbi.nlm.nih.gov/pubmed/31138283 http://dx.doi.org/10.1186/s13059-019-1697-0 |
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