Computational Methodologies for Unraveling Gene Regulation Mechanisms Underlying Iron Deficiency Response in Arabidopsis thaliana Root.

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dc.contributor.advisorCranos Williams, Chair
dc.contributor.advisorIlse Ipsen, Minor
dc.contributor.advisorHamid Krim, Member
dc.contributor.advisorEdgar Lobaton, Member
dc.contributor.advisorTerri Long, Graduate School Representative
dc.contributor.authorKoryachko, Alexandr
dc.date.accepted2018-10-26
dc.date.accessioned2018-10-30T12:30:29Z
dc.date.available2018-10-30T12:30:29Z
dc.date.defense2018-08-21
dc.date.issued2018-08-21
dc.date.released2018-10-30
dc.date.reviewed2018-08-21
dc.date.submitted2018-08-21
dc.degree.disciplineElectrical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Electrical and Computer Engineering.
dc.formatPh.D. North Carolina State University, 2018.
dc.identifier.otherdeg10987
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/35627
dc.rights
dc.titleComputational Methodologies for Unraveling Gene Regulation Mechanisms Underlying Iron Deficiency Response in Arabidopsis thaliana Root.
dcterms.extent1 online resource (xiii, 176 pages) : color illustrations

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