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

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Goffard, Nicolas; Weiller, Georg

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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...[Show more]

dc.contributor.authorGoffard, Nicolas
dc.contributor.authorWeiller, Georg
dc.date.accessioned2009-04-22T05:32:25Z
dc.date.accessioned2010-12-20T06:05:44Z
dc.date.available2009-04-22T05:32:25Z
dc.date.available2010-12-20T06:05:44Z
dc.identifier.citationBMC Bioinformatics 8.87 (2007)
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/10440/115
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/10440/115
dc.description.abstractBACKGROUND: 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
dc.format5 pages
dc.publisherBioMed Central
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
dc.sourceBMC Bioinformatics
dc.source.urihttp://www.biomedcentral.com/content/pdf/1471-2105-8-87.pdf
dc.source.urihttp://www.biomedcentral.com/1471-2105/8/87
dc.subjectKeywords: 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
dc.titleGeneBins: a database for classifying gene expression data, with application to plant genome arrays
dc.typeJournal article
local.identifier.citationvolume8
dcterms.dateAccepted2007-03-12
dc.date.issued2007-03-12
local.identifier.absfor060405
local.identifier.ariespublicationu4105084xPUB216
local.type.statusPublished Version
local.contributor.affiliationGoffard, Nicolas, Research School of Biological Sciences, Genomic Integrations Group
local.contributor.affiliationWeiller, Georg, Research School of Biological Sciences, Genomic Integrations Group
local.bibliographicCitation.issue87
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage5
local.identifier.doi10.1186/1471-2105-8-87
dc.date.updated2015-12-09T08:26:43Z
local.identifier.scopusID2-s2.0-33947412321
CollectionsANU Research Publications

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