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PMID: 17349060 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

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

BMC bioinformatics ·Vol. 8 ·2007-03-12 ·Pages 87

Goffard N, Weiller G

Abstract

To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. 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. GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http://bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/

MeSH Terms
Computational Biology/methods Databases, Genetic/classification Gene Expression Profiling/classification,methods Genes, Plant/genetics Genome, Plant/genetics Oligonucleotide Array Sequence Analysis/classification,methods Plants/classification,genetics Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Goffard Nicolas
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
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2007-03-12
Epub
2007-00-12
Pages
87
Language
English
Region
England
NLM ID
100965194
PMCID
PMC1828068
Subset
IM
Analysis Services
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