A systematic, data-driven approach to the combined analysis of microarray and QTL data

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cg.creator.identifierStephen J Kemp: 0000-0003-4041-1720
cg.identifier.doihttps://doi.org/10.1159/000317174
cg.journalDevelopments in Biologicals
cg.subject.ilriDISEASE CONTROL
cg.subject.ilriLIVESTOCK
cg.subject.ilriGENETICS
dc.contributor.authorRennie, C.
dc.contributor.authorHulme, H.
dc.contributor.authorFisher, P.
dc.contributor.authorHalp, L.
dc.contributor.authorAgaba, Morris
dc.contributor.authorNoyes, H.A.
dc.contributor.authorKemp, Stephen J.
dc.contributor.authorBrass, A.
dc.date.accessioned2010-08-02T14:03:33Zen
dc.date.available2010-08-02T14:03:33Zen
dc.identifier.urihttps://hdl.handle.net/10568/2147
dc.titleA systematic, data-driven approach to the combined analysis of microarray and QTL dataen
dcterms.abstractHigh-through put technologies inevitably produce vast quantities of data. This presents challenges in terms of developing effective analysis methods, particularly where the analysis involves combining data derived from different experimental technologies. In this investigation, a systematic approach was applied to combine microarray gene expression data, quantitative trait loci (QTL) data and pathway analysis resources in order to identify functional candidate genes underlying tolerance to Trypanosoma congolense infection in cattle. We automated much of the analysis using Taverna workflows previously developed for the study of trypanotolerance in the mouse model. Pathways represented by genes within the QTL regions were identified, and this list was subsequently ranked according to which pathways were over-represented in the set of genes that were differentially expressed (over time or between tolerant N'dama and susceptible Boran breeds) at various timepoints after T. congolense infection. The genes within the QTLthat played a role in the highest ranked pathways were flagged as good targets for further investigation and experimental confirmation.en
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationRennie, C.; Hulme, H.; Fisher, P.; Halp, L.; Agaba, M.; Noyes, H.A.; Kemp, S.J.; Brass, A. 2008. A systematic, data-driven approach to the combined analysis of microarray and QTL data. Developments in Biologicals 132:293-299.en
dcterms.extentp. 293-299
dcterms.issued2008
dcterms.languageen
dcterms.subjecttrypanosoma congolenseen
dcterms.subjectcattleen
dcterms.typeJournal Article

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