[HTML][HTML] 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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants.
L Gentzbittel, C Ben, M Mazurier, MG Shin… - Genome …, 2019 - europepmc.org
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
[PDF][PDF] WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin, T Lorenz… - 2019 - core.ac.uk
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin, T Lorenz… - Genome …, 2019 - go.gale.com
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
[PDF][PDF] WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin, T Lorenz… - 2019 - academia.edu
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin… - Genome …, 2019 - pubmed.ncbi.nlm.nih.gov
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
[PDF][PDF] WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin, T Lorenz… - 2019 - researchgate.net
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, MG Shin… - Genome …, 2019 - search.proquest.com
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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …
WhoGEM: An admixture-based prediction machine accurately predicts quantitative functional traits in plants
L Gentzbittel, C Ben, M Mazurier, M Rickauer, MG Shin… - Genome Biology, 2019 - elibrary.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 …
sequence variations for phenotype prediction. We have developed a prediction machine for …