R for genome-wide association studies

Methods Mol Biol. 2013:1019:1-17. doi: 10.1007/978-1-62703-447-0_1.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Simulation
  • Genome, Human*
  • Genome-Wide Association Study / statistics & numerical data*
  • Genomics / methods*
  • Genomics / statistics & numerical data
  • Humans
  • Polymorphism, Single Nucleotide*
  • Programming Languages*
  • Time Factors