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The shown k-mers were chosen by dividing the dendrogram into branches and identifying the 3- or 4-mer for which k-mer scores (yellow-black heatmap; see Methods) were most significantly elevated among motifs within a given branch.
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Then, a dendrogram was created after the expression of each gene was normalized across the four time points by dividing the mean of FPKM value at each time point by the maximum of mean FPKM value for the same gene.
Do this by dividing the cake horizontally.
A cutoff value is chosen to divide the dendrogram into distinct clusters.
For the continents, the dendrogram divided the populations into two major groups, one containing American and Asian and the other containing African accessions (Fig. 1A).
Based on these distances, proteins were clustered using hierarchical clustering with complete linkage, and divided into clusters by cutting the dendrogram tree at distance 0,1.
On the basis of the obtained dendrograms, we divided the neighbor sequences into several groups at the first major branches from the root.
A clustering dendrogram clearly further divided the expression pattern into 4 and 3 clusters for corpus and antrum samples, respectively.
In accordance with the dendrogram, the PCoA also clearly divided the susceptible and tolerant panel without a single intermixing.
To measure the quality of a dendrogram, we use full AHC as a reference, and divide the sum of joining distances for full AHC by the sum of joining distances in the dendrogram under study.
Divide the length by three.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com