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

Nicolas Goffard; Georg Weiller

doi:10.1186/1471-2105-8-87

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

Nicolas Goffard, Georg Weiller^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

41 Citations (Scopus)

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/.

Original language	English
Article number	87
Journal	BMC Bioinformatics
Volume	8
DOIs	https://doi.org/10.1186/1471-2105-8-87
Publication status	Published - 12 Mar 2007

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title = "GeneBins: A database for classifying gene expression data, with application to plant genome arrays",

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/.",

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AU - Goffard, Nicolas

AU - Weiller, Georg

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N2 - 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/.

AB - 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/.

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JO - BMC Bioinformatics

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M1 - 87

ER -

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

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