Sentence examples for using the unweighted pair-group from inspiring English sources

Exact(20)

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).

This was followed by clustering using the unweighted pair-group average method.

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Similar(40)

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.

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