Bioinformatics Advance Access originally published online on March 7, 2007
Bioinformatics 2007 23(9):1168-1169; doi:10.1093/bioinformatics/btm072
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Codelink: an R package for analysis of GE healthcare gene expression bioarrays

1Instituto de Investigaciones Biomédicas Alberto Sols, Consejo Superior de Investigaciones Cientificas-Universidad Autonoma de Madrid, Arturo Duperier 4, 28029 Madrid, Spain and 2Genomics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro 3, 28029 Madrid, Spain
*To whom correspondence should be addressed.
| Abstract |
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Motivation: Microarray-based expression profiles have become a standard methodology in any high-throughput analysis. Several commercial platforms are available, each with its strengths and weaknesses. The R platform for statistical analysis and graphics is a powerful environment for the analysis of microarray data, because it has many integrated statistical methods available as well as the specialized microarray analysis project Bioconductor. Many packages have been added in the last few years increasing the range of possible analysis. Here, we report the availability of a package for reading and analyzing data from GE Healthcare Gene Expression Bioarrays within the R environment.
Availability: The software is implemented in the R language, is open source and available for download free of charge through the Bioconductor (http://www.bioconductor.org) project.
Contact: diez{at}kuicr.kyoto-u.ac.jp
Supplementary information: Supplementary data are available at Bioinformatics online.
Present address: Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611–0011, Japan.
Associate Editor: Joaquin Dopazo
Received on January 30, 2007; revised on February 21, 2007; accepted on February 22, 2007