Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/969359
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dc.contributor.authorSILVA, V. H.pt_BR
dc.contributor.authorGIACHETTO, P. F.pt_BR
dc.contributor.authorTIZIOTO, P. L.pt_BR
dc.contributor.authorGONÇALVES, T. M.pt_BR
dc.contributor.authorREGITANO, L. C. A.pt_BR
dc.contributor.authorCOUTINHO, L. L.pt_BR
dc.date.accessioned2013-10-24T22:41:22Z-
dc.date.available2013-10-24T22:41:22Z-
dc.date.created2013-10-24pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationIn: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/969359pt_BR
dc.descriptionThis work aims to perform a couple of in silico network analysis from CNVs standpoint, shedding light to possible metabolic connections to tenderness. It was used 671 Nellore males to infer CNVs, through SNP-chip (Illumina Bovine HD Beadchip®, containing approximately 770 thousand SNPs) and PennCNV software methodology. CNV regions (CNVRs) were inferred by CNVRuler (recurrence 0.1).pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleA network landscape from CNVs to Nellore cattle beef tenderness.pt_BR
dc.typeResumo em anais e proceedingspt_BR
dc.date.updated2020-01-22T11:11:11Zpt_BR
dc.subject.thesagroGenomapt_BR
dc.subject.thesagroGado de Cortept_BR
dc.subject.nalthesaurusBeef cattlept_BR
dc.subject.nalthesaurusNellorept_BR
dc.subject.nalthesaurusGenomept_BR
dc.description.notesISAFG 2013. AB.01.pt_BR
dc.format.extent2p. 8.pt_BR
riaa.ainfo.id969359pt_BR
riaa.ainfo.lastupdate2020-01-22 -02:00:00pt_BR
dc.contributor.institutionVINICIUS H. SILVA, Esalq/USP; POLIANA FERNANDA GIACHETTO, CNPTIA; POLYANA C. TIZIOTO, UFSCar; TÁSSIA M. GONÇALVES, Esalq/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; LUIZ L. COUTINHO, Esalq/USP.pt_BR
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