<p><i>Panel i</i>: The genetic distance distribution is shown for both ATAHC sequences (dark colour) and Los Alamos HCV database reference sequences (clear colour). The vertical dotted lines represent the thresholds for clustering, which were estimated by determining the point of overlap/uncertainty region between the two curves of most-closely related (ATAHC sequences) and distantly related (both ATAHC and LANL sequences) for each HCV region. <i>Panel ii</i> shows the ATAHC clustering patterns using Cluster Picker with bootstrap support threshold fixed at 90% and maximum genetic distance threshold varied between 0.01 and 0.08 (colour lines: ATAHC sequences; grey lines: LANL reference sequences). Plain lines represent the percentage of clus...
<div><p>Sequencing is important for understanding the molecular epidemiology and viral evolution of ...
The article describes two new clustering algorithms for DNA nucleotide sequences, summarizes the res...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
<p>*: Sequence length after alignment and gaps deletion;</p><p><sup>$</sup>:Genetic distance calcula...
<p>Sequences with a pairwise distance below the genetic threshold were identified as part of a clust...
<p>The genetic variability between each region was estimated using the diagrammatic representation o...
<p>First values from weighted Robinson-Foulds tree distances computed by RAxML1.3 from HCV regions c...
Maximum likelihood phylogenetic tree displayed in (A) circular or (B) radial format for NS3/4A seque...
Maximum likelihood phylogenetic trees displayed in circular format for NS5A sequences from (A) GT1b-...
Sequencing is important for understanding the molecular epidemiology and viral evolution of hepatiti...
<p>Comparison sequences were genotype 1b sequences randomly selected from the LANL HCV database. Stu...
<p>(A) Example of the influence of bootstrap value in cluster 1 identification using Core-E2 (scenar...
Sequencing is important for understanding the molecular epidemiology and viral evolution of hepatiti...
<p>Relationship between mean genetic distance and length of HCV regions used in this project (square...
<p>*: p<0.05, when comparing with the counterpart of 1a</p><p>#: p<0.05, when comparing with the cou...
<div><p>Sequencing is important for understanding the molecular epidemiology and viral evolution of ...
The article describes two new clustering algorithms for DNA nucleotide sequences, summarizes the res...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
<p>*: Sequence length after alignment and gaps deletion;</p><p><sup>$</sup>:Genetic distance calcula...
<p>Sequences with a pairwise distance below the genetic threshold were identified as part of a clust...
<p>The genetic variability between each region was estimated using the diagrammatic representation o...
<p>First values from weighted Robinson-Foulds tree distances computed by RAxML1.3 from HCV regions c...
Maximum likelihood phylogenetic tree displayed in (A) circular or (B) radial format for NS3/4A seque...
Maximum likelihood phylogenetic trees displayed in circular format for NS5A sequences from (A) GT1b-...
Sequencing is important for understanding the molecular epidemiology and viral evolution of hepatiti...
<p>Comparison sequences were genotype 1b sequences randomly selected from the LANL HCV database. Stu...
<p>(A) Example of the influence of bootstrap value in cluster 1 identification using Core-E2 (scenar...
Sequencing is important for understanding the molecular epidemiology and viral evolution of hepatiti...
<p>Relationship between mean genetic distance and length of HCV regions used in this project (square...
<p>*: p<0.05, when comparing with the counterpart of 1a</p><p>#: p<0.05, when comparing with the cou...
<div><p>Sequencing is important for understanding the molecular epidemiology and viral evolution of ...
The article describes two new clustering algorithms for DNA nucleotide sequences, summarizes the res...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...