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We conducted phylogenetic cluster analysis using the unweighted pair group method with arithmetic averaging algorithm to estimate β-diversity and to visualize microbial community diversity (Lozupone and Knight 2005).
The obtained PFGE profiles were analyzed with Bionumerics version 6.5 (Applied Maths, St.-Martens-Latem, BE) using the unweighted pair group method using averages (UPGMA) with the Dice coefficient (tolerance 1%, tolerance change 1% and optimization 1%).
The band patterns were compared using the Dice-coefficient by using the unweighted pair group method to determine band similarity.
Jaccard's coefficient of similarity was calculated for all pair wise comparison and a dendrogram was made through cluster analysis using the unweighted pair group method based on arithmetic average (UPGMA).
Cluster analysis of the histology patterns was performed with the BioNumerics software, version 4.0 (Applied Maths, Kortrijk, Belgium) using the unweighted pair group method with average linkages (UPGMA) and the Dice coefficient to analyze the similarities of the patterns.
Dendrograms were constructed after image capture and analysis by Pearson correlation coefficients (r), and cluster analysis was performed using the unweighted pair group method with average linkages (UPGMA), using BioNumerics software (Applied Maths, Ghent, Belgium).
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A phenogram was constructed using the unweighted pair-group method with the arithmetic mean (UPGMA) with software (NTSYS-pc ver. 2.2; Exeter Software).
Phylogenetic trees were also constructed based on nucleotide polymorphisms within the aligned sequences using the CLC Free workbench (http://www.clcbio.com/) using the unweighted pair-group with arithmetic mean method with 1,000 replicates.
The similarity Z-score matrix was modified into distance matrix in order to infer clustering tree using the unweighted pair-group method with arithmetric averages (UPGMA) of PHYLIP package [69].
Dendrograms were generated using the unweighted pair-group method with arithmetic averages (UPGMA) calculation.
Hierarchical cluster analysis was done using the unweighted pair-group method with arithmetic averages (UPGMA).
More suggestions(14)
using the univariate pair
using the global pair
using the weighted pair
using the primer pair
using the unweighted pair-group
using the unweighted shortest
using the unweighted community
using the unweight pair
using the unweighted scoring
using the same pair
using the Matched pair
using the stereo pair
using the unweighted mapping
using the second pair
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