Efficient toolkit implementing best practices for principal component analysis of population genetic data

MOTIVATION: Principal component analysis (PCA) of genetic data is routinely used to infer ancestry and control for population structure in various genetic analyses. However, conducting PCA analyses can be complicated and has several potential pitfalls. These pitfalls include (i) capturing linkage di...

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Detalles Bibliográficos
Autores principales: Privé, Florian, Luu, Keurcien, Blum, Michael G B, McGrath, John J, Vilhjálmsson, Bjarni J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750941/
https://www.ncbi.nlm.nih.gov/pubmed/32415959
http://dx.doi.org/10.1093/bioinformatics/btaa520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750941/
https://www.ncbi.nlm.nih.gov/pubmed/32415959
http://dx.doi.org/10.1093/bioinformatics/btaa520

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