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Using dissimilarity, defined as 1.0-identity, as a distance among those sequences, we built a dendrogram using the neighbor-joining method.
To measure the degree of evolutionary persistence of the five features, we built a dendrogram using the distances between species with respect to each of the five features, and then evaluated how much the feature trees deviate from the species classification.
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These coefficients were utilized to construct a dendrogram using the UPGMA.
These values were used to construct a dendrogram using Unweighted Pair Group Method with Arithmetic averages (UPGMA).
Clustergrammer visualizes the same information by displaying a single slice of a dendrogram using trapezoids (Fig. 1c).
The PowerMarker 3.25 software package [ 28] was used to produce a dendrogram using UPGMA method.
For each feature, we calculated the distance between a pair of species and built a dendrogram (feature tree) of the 61 species using those distances.
Using Ward dissimilarity matrix, we built a dendrogram with DARwin software [ 29].
The similarity matrix was generated by Euclidean distances, which were used to build a dendrogram with the unweighted pair group mean averages (UPGMA) algorithm wherein the linkage was single.
The R package pvclust version 1.3-2 (Suzuki and Shimodaira 2006) was used to build a dendrogram on the redundancy data by assessing the uncertainty in hierarchical cluster analysis via multiscale bootstrap resampling with 1,000 bootstrap replications.
VNTR analyses were included on the construction of the minimum spanning tree method, in order to provide further discrimination between strains for isolates with identical spoligotyping results, Distance matrices are calculated and the obtained groupings can be used to build a dendrogram.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com