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Title: Mining genome data for endogenous viral elements and interferon stimulated genes : insights into host virus co-evolution
Author: Dennis, Tristan Philip Wesley
ISNI:       0000 0004 7653 9213
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2018
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Paleovirology is the study of viruses over evolutionary timescales. Contemporary paleovirological analyses often rely on sequence data, derived from organism genome assemblies. These sequences are the germline inherited remnants of past viral infection, in the form of endogenous viral elements and the host immune genes that are evolving to combat viruses. Their study has found that viruses have exerted profound influences on host evolution, and highlighted the conflicts between viruses and host immunity. As genome sequencing technology cheapens, the accumulation of genome data increases, furthering the potential for paleovirological insights. However, data on ERVs, EVEs and antiviral gene evolution, are often not captured by automated annotation pipelines. As such, there is scope for investigations and tools that investigate the burgeoning bulk of genome data for virus and and antiviral gene sequence data in the search of paleovirological insight.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QH426 Genetics ; QR355 Virology