articleBioinformaticsMar 23, 2007Closed access

GenABEL: an R library for genome-wide association analysis

Erasmus MC · Max Planck Institute of Psychiatry

PubMed
Indexed incrossrefdoajpubmed

Abstract

UNLABELLED: Here we describe an R library for genome-wide association (GWA) analysis. It implements effective storage and handling of GWA data, fast procedures for genetic data quality control, testing of association of single nucleotide polymorphisms with binary or quantitative traits, visualization of results and also provides easy interfaces to standard statistical and graphical procedures implemented in base R and special R libraries for genetic analysis. We evaluated GenABEL using one simulated and two real data sets. We conclude that GenABEL enables the analysis of GWA data on desktop computers. AVAILABILITY: http://cran.r-project.org.

Citation impact

1,969
total citations
FWCI
20.36
Percentile
100%
References
4
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Genome-wide association study
  • Visualization
  • Association (psychology)
  • Computational biology
  • Data mining
  • Genetic association
  • Association test
No related works found for this paper.