Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Database

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

Nicolas Goffard and Georg Weiller*

Author Affiliations

ARC Centre of Excellence for Integrative Legume Research and Bioinformatics Laboratory, Genomic Interactions Group, Research School of Biological Sciences, Australian National University, GPO Box 475, Canberra, ACT 2601, Australia

For all author emails, please log on.

BMC Bioinformatics 2007, 8:87  doi:10.1186/1471-2105-8-87

Published: 12 March 2007

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