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Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans
BACKGROUND: Success in genome-wide association studies and marker-assisted selection depends on good phenotypic and genotypic data. The more complete this data is, the more powerful will be the results of analysis. Nevertheless, there are next-generation technologies that seek to provide genotypic i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736474/ https://www.ncbi.nlm.nih.gov/pubmed/26830693 http://dx.doi.org/10.1186/s12859-016-0899-7 |