Abstract

<p>The genetic variability between each region was estimated using the diagrammatic representation of the HCV genome from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131437#pone.0131437.ref050" target="_blank">50</a>] as shown in mean pairwise distance from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131437#pone.0131437.g001" target="_blank">Fig 1</a> (black line). The black line represents the genetic diversity across the length of HCV RNA [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131437#pone.0131437.ref050" target="_blank">50</a>]. The red lines represent the amplicons generated with the in-house Core-E2 protocol (1534bp) and the NS5B method published by Murphy <i>et al</i>. (360bp) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131437#pone.0131437.ref015" target="_blank">15</a>]. The colour rectangles show the location of the sequences used for clustering analysis: the full Core-E2 amplicon; same sequence trimmed to E1 with partial HVR1; with HVR1 removed; E1 alone, without HVR1; NS5B; Core. Every sequence from the 5’ region was analysed alone and also concatenated to NS5B. Full length sequences from naïve GT1a patients available from LANL were trimmed to identical regions to be used as reference sequences.</p

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Last time updated on 12/02/2018

This paper was published in FigShare.

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