A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1

dc.contributor.authorYocgo, Rosita E
dc.contributor.authorGeza, Ephifania
dc.contributor.authorChimusa, Emile R
dc.contributor.authorMazandu, Gaston K
dc.date.accessioned2021-10-08T06:54:45Z
dc.date.available2021-10-08T06:54:45Z
dc.date.issued2017
dc.description.abstractAdvances in forward and reverse genetic techniques have enabled the discovery and identification of several plant defence genes based on quantifiable disease phenotypes in mutant populations. Existing models for testing the effect of gene inactivation or genes causing these phenotypes do not take into account eventual uncertainty of these datasets and potential noise inherent in the biological experiment used, which may mask downstream analysis and limit the use of these datasets. Moreover, elucidating biological mechanisms driving the induced disease resistance and influencing these observable disease phenotypes has never been systematically tackled, eliciting the need for an efficient model to characterize completely the gene target under consideration.
dc.identifier.apacitationYocgo, R. E., Geza, E., Chimusa, E. R., & Mazandu, G. K. (2017). A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. <i>BMC Plant Biology</i>, 17(1), 174 - 177. http://hdl.handle.net/11427/34330en_ZA
dc.identifier.chicagocitationYocgo, Rosita E, Ephifania Geza, Emile R Chimusa, and Gaston K Mazandu "A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1." <i>BMC Plant Biology</i> 17, 1. (2017): 174 - 177. http://hdl.handle.net/11427/34330en_ZA
dc.identifier.citationYocgo, R.E., Geza, E., Chimusa, E.R. & Mazandu, G.K. 2017. A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. <i>BMC Plant Biology.</i> 17(1):174 - 177. http://hdl.handle.net/11427/34330en_ZA
dc.identifier.issn1471-2229
dc.identifier.ris TY - Journal Article AU - Yocgo, Rosita E AU - Geza, Ephifania AU - Chimusa, Emile R AU - Mazandu, Gaston K AB - Advances in forward and reverse genetic techniques have enabled the discovery and identification of several plant defence genes based on quantifiable disease phenotypes in mutant populations. Existing models for testing the effect of gene inactivation or genes causing these phenotypes do not take into account eventual uncertainty of these datasets and potential noise inherent in the biological experiment used, which may mask downstream analysis and limit the use of these datasets. Moreover, elucidating biological mechanisms driving the induced disease resistance and influencing these observable disease phenotypes has never been systematically tackled, eliciting the need for an efficient model to characterize completely the gene target under consideration. DA - 2017 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - BMC Plant Biology LK - https://open.uct.ac.za PY - 2017 SM - 1471-2229 T1 - A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1 TI - A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1 UR - http://hdl.handle.net/11427/34330 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/34330
dc.identifier.vancouvercitationYocgo RE, Geza E, Chimusa ER, Mazandu GK. A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. BMC Plant Biology. 2017;17(1):174 - 177. http://hdl.handle.net/11427/34330.en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Integrative Biomedical Sciences (IBMS)
dc.publisher.facultyFaculty of Health Sciences
dc.sourceBMC Plant Biology
dc.source.journalissue1
dc.source.journalvolume17
dc.source.pagination174 - 177
dc.source.urihttps://dx.doi.org/10.1186/s12870-017-1151-y
dc.subject.otherGene silencing
dc.subject.otherPlant defence gene discovery
dc.subject.otherSemantic similarity
dc.subject.otherArabidopsis thaliana
dc.subject.otherPseudomonas syringae
dc.titleA post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1
dc.typeJournal Article
uct.type.publicationResearch
uct.type.resourceJournal Article
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