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Both markers aim to amplify a different region of the genome, and thus it is reasonable that there are some fine differences between the two dendrograms based on an individual data set.
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The cluster in the center of both dendrograms is divided into four subclusters shown with different colours, which change when comparing the two dendrograms.
These results can be explained using Fig. 4: if there were at least two different dendrograms from ties, e.g. the two dendrograms of the first grouping step in Fig. 4, then there would be at least one non-common cluster between them (({g,h,i})) leading to a frequency of 0.5.
This value is substantially lower than 1, the value expected had the two dendrograms been identical.
The phylogeny relationship shown by the two dendrograms coincides in general.
Figure 2 shows the three dendrograms.
The resulting dendrogram (Figure 2) shows a close proximity between B. ceti and B. pinnipedialis, and between B. suis and B. canis, and more proximity between these four species than between any of them and B. melitensis and B. abortus.
Clustering of DE genes between, for example, nonresponders and good/moderate responders resulted in a clear distinction in the dendrogram between the two groups (see Additional file 2).
Although the molecular characterization of isolates was not carried out in full, 100% similarity (observed in the dendrogram) between the two VZ isolates and the EH-53 strain, and the severity of the patients' clinical problems, could suggest the presence of the strain in this geographic area.
The genetic diversity between the ten A. officinalis cultivars was low, and the UPGMA dendrogram was largely unrelated to cultivars.
Dendrograms were then constructed from a distance matrix containing Pearson correlations calculated iteratively between the four samples and 223 genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com