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

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.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.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
6.4 MB
Format:
Adobe Portable Document Format

Collections