R for Genome-Wide Association Studies

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.
Source: Springer protocols feed by Bioinformatics - Category: Bioinformatics Source Type: news