Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6753
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dc.contributor.authorGoodswen, Stephenen
dc.contributor.authorGondro, Cedricen
dc.contributor.authorWatson-Haigh, Nathanen
dc.contributor.authorKadarmideen, Hajaen
dc.date.accessioned2010-10-22T12:50:00Z-
dc.date.issued2010-
dc.identifier.citationBMC Bioinformatics, 11(311), p. 1-9en
dc.identifier.issn1471-2105en
dc.identifier.urihttps://hdl.handle.net/1959.11/6753-
dc.description.abstractBackground: Whole genome association studies using highly dense single nucleotide polymorphisms (SNPs) are a set of methods to identify DNA markers associated with variation in a particular complex trait of interest. One of the main outcomes from these studies is a subset of statistically significant SNPs. Finding the potential biological functions of such SNPs can be an important step towards further use in human and agricultural populations (e.g., for identifying genes related to susceptibility to complex diseases or genes playing key roles in development or performance). The current challenge is that the information holding the clues to SNP functions is distributed across many different databases. Efficient bioinformatics tools are therefore needed to seamlessly integrate up-to-date functional information on SNPs. Many web services have arisen to meet the challenge but most work only within the framework of human medical research. Although we acknowledge the importance of human research, we identify there is a need for SNP annotation tools for other organisms. Description: We introduce an R package called FunctSNP, which is the user interface to custom built species-specific databases. The local relational databases contain SNP data together with functional annotations extracted from online resources. FunctSNP provides a unified bioinformatics resource to link SNPs with functional knowledge (e.g., genes, pathways, ontologies). We also introduce dbAutoMaker, a suite of Perl scripts, which can be scheduled to run periodically to automatically create/update the customised SNP databases. We illustrate the use of FunctSNP with a livestock example, but the approach and software tools presented here can be applied also to human and other organisms. Conclusions: Finding the potential functional significance of SNPs is important when further using the outcomes from whole genome association studies. FunctSNP is unique in that it is the only R package that links SNPs to functional annotation. FunctSNP interfaces to local SNP customised databases which can be built for any species contained in the National Center for Biotechnology Information dbSNP database.en
dc.languageenen
dc.publisherBioMed Central Ltden
dc.relation.ispartofBMC Bioinformaticsen
dc.titleFunctSNP: and R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databasesen
dc.typeJournal Articleen
dc.identifier.doi10.1186/1471-2105-11-311en
dcterms.accessRightsUNE Greenen
dc.subject.keywordsGene Expression (incl Microarray and other genome-wide approaches)en
local.contributor.firstnameStephenen
local.contributor.firstnameCedricen
local.contributor.firstnameNathanen
local.contributor.firstnameHajaen
local.subject.for2008060405 Gene Expression (incl Microarray and other genome-wide approaches)en
local.subject.seo2008830301 Beef Cattleen
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailsgoodswe@une.edu.auen
local.profile.emailcgondro2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20101021-142721en
local.publisher.placeUnited Kingdomen
local.format.startpage1en
local.format.endpage9en
local.peerreviewedYesen
local.identifier.volume11en
local.identifier.issue311en
local.title.subtitleand R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databasesen
local.access.fulltextYesen
local.contributor.lastnameGoodswenen
local.contributor.lastnameGondroen
local.contributor.lastnameWatson-Haighen
local.contributor.lastnameKadarmideenen
dc.identifier.staffune-id:sgoodsween
dc.identifier.staffune-id:cgondro2en
local.profile.orcid0000-0003-0666-656Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:6914en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleFunctSNPen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorGoodswen, Stephenen
local.search.authorGondro, Cedricen
local.search.authorWatson-Haigh, Nathanen
local.search.authorKadarmideen, Hajaen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/d8bc9693-4706-4ade-a91d-2c22bd0f94b9en
local.uneassociationUnknownen
local.identifier.wosid000279737600002en
local.year.published2010en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/d8bc9693-4706-4ade-a91d-2c22bd0f94b9en
Appears in Collections:Journal Article
School of Environmental and Rural Science
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