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PMID: 17384015 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

GenABEL: an R library for genome-wide association analysis.

Bioinformatics (Oxford, England) ·Vol. 23 ·No. 10 ·2007-05-15 ·Pages 1294-6

Aulchenko YS, Ripke S, Isaacs A, van Duijn CM

Abstract

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. http://cran.r-project.org.

MeSH Terms
Computational Biology Computer Simulation Gene Library Genome Genome, Human Haplotypes Humans Information Storage and Retrieval Oligonucleotide Array Sequence Analysis Polymorphism, Single Nucleotide Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Aulchenko Yurii S
Department of Epidemiology and Biostatistics, Erasmus MC Rotterdam, Postbus 2040, 3000 CA Rotterdam, The Netherlands. i.aoultchenko@erasmusmc.nl
Ripke Stephan
Isaacs Aaron
van Duijn Cornelia M
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2007-05-15
Epub
2007-00-23
Pages
1294-6
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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