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GeneBins: a database for classifying gene expression data, with application to plant genome arrays

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Authors

Goffard, Nicolas
Weiller, Georg

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BioMed Central

Abstract

BACKGROUND: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. RESULTS: We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG ontology. The GeneBins database currently supports the functional classification of expression data from four Affymetrix arrays; Arabidopsis thaliana, Oryza sativa, Glycine max and Medicago truncatula. An online analysis tool to identify relevant functions is also provided. CONCLUSION: GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http://bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/ webcite

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Citation

BMC Bioinformatics 8.87 (2007)

Source

BMC Bioinformatics

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