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To guarantee that the selected fragment was not a mosaic between two or more parental lineages, we performed further analysis using a phylogenetic network.
Additionally, we estimated the population structure using a phylogenetic network depicted by the SplitsTree4 version 4.13.1 (Huson and Bryant 2006).
Incongruence between the nrDNA ETS and ITS as well as combined plastid datasets were further explored using a phylogenetic network approach [ 76, 77].
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In addition, we used a phylogenetic network to describe the relationship of the HIV sequences and to detect recombinant sequences.
Sequence data was used to produce a phylogenetic network using statistical parsimony to connect the haplotypes based on 95% confidence interval (TCS 1.21) [ 28].
The pair-wise IBGD values are then used to construct a phylogenetic network [24].
We used Network (version 4.1), a phylogenetic network analysis software, to generate an evolutionary tree network that links the predicted haplotypes on the basis of their similarity [ 50].
For the generation of a phylogenetic network using the neighbour-net algorithm [56], pairwise genome distances were computed based on gene content using SplitsTree4 [55].
To evaluate relationships among sequences, we constructed a phylogenetic network using the program SplitsTree4 [ 68].
The SplitsTree which is a program using these weighted splits makes a phylogenetic network.
In addition, we created a phylogenetic network using the Neighbor-Net method [ 47] implemented in the SplitsTree program [ 48].
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