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


CONCLUSIONS
GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http://bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/
Goffard
Nicolas
N
ARC Centre of Excellence for Integrative Legume Research and Bioinformatics Laboratory, Genomic Interactions Group, Research School of Biological Sciences, Australian National University, Canberra, Australia. nicolas.goffard@anu.edu.au
Weiller
Georg
G
D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic / Q000145:classification; D020869:Gene Expression Profiling / Q000145:classification / Q000379:methods*; D017343:Genes, Plant / Q000235:genetics; D018745:Genome, Plant / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000145:classification / Q000379:methods; D010944:Plants / Q000145:classification / Q000235:genetics; D012984:Software