GeneBins: a database for classifying gene expression data, with application to plant genome arrays
Date
2007-03-12
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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Keywords
Keywords: Arabidopsis thaliana; Expression data; Functional classification; Gene Expression Data; Medicago truncatula; Microarray experiments; On-line analysis; Ontological analysis; Amino acids; Bioinformatics; Computer aided diagnosis; Experiments; Gene expressio
Citation
BMC Bioinformatics 8.87 (2007)
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BMC Bioinformatics
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Journal article
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