Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr

MOTIVATION: Genome-wide datasets produced for association studies have dramatically increased in size over the past few years, with modern datasets commonly including millions of variants measured in dozens of thousands of individuals. This increase in data size is a major challenge severely slowing...

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Detalles Bibliográficos
Autores principales: Privé, Florian, Aschard, Hugues, Ziyatdinov, Andrey, Blum, Michael G B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084588/
https://www.ncbi.nlm.nih.gov/pubmed/29617937
http://dx.doi.org/10.1093/bioinformatics/bty185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084588/
https://www.ncbi.nlm.nih.gov/pubmed/29617937
http://dx.doi.org/10.1093/bioinformatics/bty185

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