Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

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

Simple item page
dc.contributor.authorGoffard, Nicolas
dc.contributor.authorWeiller, Georg
dc.date.accessioned2009-04-22T05:32:25Zen_US
dc.date.accessioned2010-12-20T06:05:44Z
dc.date.available2009-04-22T05:32:25Zen_US
dc.date.available2010-12-20T06:05:44Z
dc.date.issued2007-03-12en_US
dc.date.updated2015-12-09T08:26:43Z
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.identifier.citationBMC Bioinformatics 8.87 (2007)
dc.identifier.issn1471-2105en_US
dc.identifier.urihttp://hdl.handle.net/10440/115en_US
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/10440/115
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.pdfen_US
dc.source.urihttp://www.biomedcentral.com/1471-2105/8/87en_US
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
dcterms.dateAccepted2007-03-12en_US
local.bibliographicCitation.issue87
local.bibliographicCitation.lastpage5
local.bibliographicCitation.startpage1
local.contributor.affiliationGoffard, Nicolas, Research School of Biological Sciences, Genomic Integrations Groupen_US
local.contributor.affiliationWeiller, Georg, Research School of Biological Sciences, Genomic Integrations Groupen_US
local.contributor.authoruidu4272504en_US
local.contributor.authoruidu9009731en_US
local.identifier.absfor060405en_US
local.identifier.ariespublicationu4105084xPUB216en_US
local.identifier.citationvolume8
local.identifier.doi10.1186/1471-2105-8-87
local.identifier.scopusID2-s2.0-33947412321
local.type.statusPublished Versionen_US

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Goffard_GeneBins2007.pdf
Size:
1.14 MB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS