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Article

R for genome-wide association studies.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2013

Gondro Cedric, Porto-Neto Laercio R, Lee Seung Hwan

Abstract excerpt

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.

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PMID: 23756885
DOI: 10.1007/978-1-62703-447-0_1

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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