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...

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Detalles Bibliográficos
Autores principales: Gentzbittel, Laurent, Ben, Cécile, Mazurier, Mélanie, Shin, Min-Gyoung, Lorenz, Todd, Rickauer, Martina, Marjoram, Paul, Nuzhdin, Sergey V., Tatarinova, Tatiana V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Method
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

Internet

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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