Smart genetic analysis made fast and easy
Post provided by: Salvador Herrando-Pérez
If you use genetics to differentiate populations, the new package smartsnp might be your new best friend. Written in R language and available from GitHub and CRAN, this package performs principal component analysis with control for genetic drift, projects ancient samples onto modern genetic space, and tests for population differences in genotypes. The package can load big datasets and run complex stats in the blink of an eye.
In this post, Salvador Herrando-Pérez discusses the features of this new package which is fully described in the new paper “smartsnp, an R package for fast multivariate analyses of big genomic data” recently published in Methods in Ecology & Evolution.
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