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.
  
  
  CONCLUSIONS
  GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http://bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/
authors.affiliation: 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
authors.forename: Nicolas
authors.initials: N
authors.lastname: Goffard
authors.forename: Georg
authors.initials: G
authors.lastname: Weiller
mesh_terms: 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