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The 184 sequences of the gag dataset were analyzed using a similar approach.

Phylogenetic relationships between the 110 treponeme OTUs detected in the entire subject dataset were analyzed using Neighbour Joining (NJ), Maximum Likelihood (ML) and Bayesian (BA) approaches.

The means of each dataset were analyzed using Student's t test with a two-tailed distribution and assuming equal sample variance.

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The alignment dataset was analyzed using maximum likelihood (ML), maximum parsimony (MP) and Bayesian methods.

This multi-resolution dataset was analyzed using Principal Components Analysis (PCA) to identify the dominant variance structure in the dataset.

With the objective of identifying the hidden relationships between the most common accidents, the road accident dataset is analyzed using the association rules technique.

The WGS dataset is analyzed using a software tool that we recently developed, called MAQGene [12].

In order to infer divergence times among C. monspeliensis lineages and reconstruct its colonization history across the Canarian archipelago, the dataset was analyzed using a relaxed Bayesian approach as implemented in BEAST v.1.6.1 [45], [45].

The dataset was analyzed using equally weighted parsimony in TNT [17], [18] with a heuristic search of 1,000 replicates of Wagner trees followed by tree bisection-reconnection (TBR) branch swapping.

The final dataset was analyzed using PROC MIXED in SAS.

The dataset was analyzed using the SPSS V 13.0 statistical package.

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