Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics

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Campo DC	Valor	Idioma
degois.publication.firstPage	282	por
degois.publication.lastPage	292	por
degois.publication.title	PLOS COMPUTATIONAL BIOLOGY	por
dc.contributor.author	Lemey, Philippe
dc.contributor.author	Kosakovsky Pond, Sergei L.
dc.contributor.author	Drummond, Alexei J.
dc.contributor.author	Pybus, Oliver G.
dc.contributor.author	Shapiro, Beth
dc.contributor.author	Barroso, Helena
dc.contributor.author	Taveira, Nuno
dc.contributor.author	Rambaut, Andrew
dc.date.accessioned	2015-12-30T10:18:04Z	-
dc.date.available	2015-12-30T10:18:04Z	-
dc.date.issued	2007
dc.identifier.citation	PLOS COMPUTATIONAL BIOLOGY. - Vol. 3, n. 2 (FEB 2007), p. 282-292
dc.identifier.issn	1553-734X
dc.identifier.uri	http://hdl.handle.net/10451/21395	-
dc.description.abstract	Upon HIV transmission, some patients develop AIDS in only a few months, while others remain disease free for 20 or more years. This variation in the rate of disease progression is poorly understood and has been attributed to host genetics, host immune res
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	PUBLIC LIBRARY SCIENCE
dc.rights	restrictedAccess
dc.subject	Biochemical Research Methods
dc.subject	Mathematical & Computational Biology
dc.title	Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics
dc.type	article
degois.publication.volume	Vol. 3	por
dc.identifier.doi	http://dx.doi.org/10.1371/journal.pcbi.0030029
Aparece nas colecções:	FF - Produção Científica 2000-2009

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