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...

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Detalles Bibliográficos
Autores principales: Xavier, A., Muir, William M., Rainey, Katy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
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

Internet

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

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