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Peter Simmonds

Researcher at University of Oxford

Publications -  857
Citations -  69113

Peter Simmonds is an academic researcher from University of Oxford. The author has contributed to research in topics: Hepatitis C virus & Virus. The author has an hindex of 131, co-authored 823 publications receiving 62953 citations. Previous affiliations of Peter Simmonds include John Radcliffe Hospital & Edinburgh Royal Infirmary.

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Selection for specific sequences in the external envelope protein of human immunodeficiency virus type 1 upon primary infection.

TL;DR: The persistence of HIV sequences in peripheral blood mononuclear cells identical to those found at primary infection in the absence of continued virus expression provides an explanation for the previously observed differences in the composition of circulating DNA and RNA populations in sequential samples from seropositive individuals.
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Renewed growth of atmospheric methane

TL;DR: In this article, the relative roles of an increase in emission rate or a decrease in concentration of the hydroxyl radical, the largest methane sink, are examined, along with an inverse method applied to a simple model of atmospheric chemistry and transport.
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Sequence variability in the 5' non-coding region of hepatitis C virus: identification of a new virus type and restrictions on sequence diversity.

TL;DR: The specific nucleotide substitutions in the 5' NCR that differentiate each of the four HCV types can be detected by restriction enzyme cleavage, providing a rapid and reliable method for virus typing.
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Analysis of a new hepatitis C virus type and its phylogenetic relationship to existing variants.

TL;DR: Phylogenetic analysis revealed the existence of three distinct groups of sequences that corresponded to the recently described HCV types 1 and 2 variants, while viral sequences detected in around a third of the blood donors formed a separate phylogenetic group that probably represents infection with a novel virus species.
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Survey of major genotypes and subtypes of hepatitis C virus using RFLP of sequences amplified from the 5' non-coding region

TL;DR: The method was used to investigate the prevalence of these genotypes in 723 blood donors in 15 countries, the largest survey to date, and one which covered a wide range of geographical regions (Europe, America, Africa and Asia).