| Literature DB >> 23756885 |
Cedric Gondro1, Laercio R Porto-Neto, Seung Hwan Lee.
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.Mesh：
Year: 2013 PMID： 23756885 DOI： 10.1007/978-1-62703-447-0_1
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745