# Discovering the Phylodynamics of RNA Viruses

## Author(s): Holmes, Edward C.; Grenfell, Bryan T.

To refer to this page use: http://arks.princeton.edu/ark:/88435/pr16t4j
DC FieldValueLanguage
dc.contributor.authorHolmes, Edward C.-
dc.contributor.authorGrenfell, Bryan T.-
dc.date.accessioned2019-04-19T18:35:55Z-
dc.date.available2019-04-19T18:35:55Z-
dc.date.issued2009-10-26en_US
dc.identifier.citationHolmes, Edward C., Grenfell, Bryan T. (2009). Discovering the Phylodynamics of RNA Viruses. PLoS Computational Biology, 5 (10), e1000505 - e1000505. doi:10.1371/journal.pcbi.1000505en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr16t4j-
dc.description.abstractThe advent of extremely high throughput DNA sequencing ensures that genomic data from microbial organisms can be acquired in unprecedented quantities and with remarkable rapidity. Although this genomic revolution will affect all microbes alike, our focus here is on RNA viruses, as the rapidity of their evolution, which is observable over the time scale of human observation, allows phylodynamic inferences to be made with great precision. In the foreseeable future it is likely that complete genome sequencing will become the standard method of viral characterization, providing the highest possible resolution for phylogenetic studies. The rapidity with which genome sequence data were generated from the ongoing epidemic of swine-origin H1N1 influenza A virus [1] is testament to the power of this technology.en_US
dc.format.extente1000505 - e1000505en_US
dc.language.isoen_USen_US
dc.relation.ispartofPLoS Computational Biologyen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleDiscovering the Phylodynamics of RNA Virusesen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1371/journal.pcbi.1000505-
dc.date.eissued2009-10-26en_US
dc.identifier.eissn1553-7358-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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