Epidemiology in the Genomic Age: Untangling Antimicrobial Resistance Dynamics in Campylobacter coli using Novel Computational Approaches.

dc.contributor.advisorCristina Lanzas, Co-Chair
dc.contributor.advisorSiddhartha Thakur, Co-Chair
dc.contributor.advisorDavid Rasmussen, Member
dc.contributor.advisorChristopher Woods, Inter-Institutional
dc.contributor.advisorArnoud van Vliet, External
dc.contributor.advisorRobert Rose, Graduate School Representative
dc.contributor.authorWang, Christine Anne
dc.date.accepted2022-10-24
dc.date.accessioned2022-10-27T12:30:22Z
dc.date.available2022-10-27T12:30:22Z
dc.date.defense2022-07-15
dc.date.issued2022-07-15
dc.date.released2022-10-27
dc.date.reviewed2022-07-21
dc.date.submitted2022-07-21
dc.degree.disciplineComparative Biomedical Sci
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg30463
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40061
dc.titleEpidemiology in the Genomic Age: Untangling Antimicrobial Resistance Dynamics in Campylobacter coli using Novel Computational Approaches.

Files

Original bundle

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

Collections