Abstract
In recent years R has become de facto statistical programming language of choice for statisticians and it is also arguably the most widely used generic environment for analysis of high-throughput genomic data. In this chapter we discuss some approaches to improve performance of R when working with large SNP datasets. © Springer Science+Business Media, LLC 2013.
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Gondro, C., Porto-Neto, L. R., & Lee, S. H. (2013). R for genome-wide association studies. Methods in Molecular Biology, 1019, 1–17. https://doi.org/10.1007/978-1-62703-447-0_1
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