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Dendrograms of patterns were created by using unweighted pair group method with arithmetic averages.
Jaccard's coefficient of similarity was measured and a dendrogram based on similarity coefficients was generated by using unweighted pair group method with arithmetic mean (UPGMA).
The dendrogram constructed by using unweighted pair group method with arithmetic mean (UPGMA) based on Nei's genetic distance, showed obvious distinctions and understandable relationships among the 24 accessions.
The clonal similarity index of the isolates was calculated by using unweighted pair group method with arithmetic mean clustering with the BioNumerics software version 5.10 (Applied Maths, Kortrijk, Belgium).
Numerical typing data were imported into BioNumerics v 6.1 (Applied Maths, Sint-Martens-Latem, Belgium) and analyzed with the multistate categorical similarity coefficient by using unweighted pair group method with arithmetic mean clustering.
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The dendrograms were generated from similarity matrix data by cluster analysis using unweighted pair group method for arithmetic mean (UPGMA).
The computational analysis of the WCP gel images of atypical strains were performed by Dice coefficient, and the dendrogram constructed using unweighted pair group method using arithmetic averages (UPGMA) as shown in Figure- 1, and validated their exact taxonomic status as E. faecalis, E. faecium and E. casseliflavus respectively.
The hierarchical clustering analysis was performed using unweighted pair group method with arithmetic mean.
Cluster analysis using unweighted pair group method with arithmetic mean (UPGMA) was shown in Fig. 2.
Based on the similarity score the traits were clustered using unweighted pair group average method.
Genetic relationships were inferred by TREECON software using unweighted paired group method with arithmetic averages (UPGMA) cluster analysis evaluated by bootstrapping and compared with previous analyses based on ITS and 5S IGS.
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