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Data were partitioned by manually editing the XML file and by applying the respective best-fitting models and parameters [53].
Data were partitioned by gene (CO1, 28S, EF-1α) and by codon position (CO1 and EF-1α) using the same models selected for each partition as in MrBayes analyses, and run twice (to assess convergence) for 30 million generations with 50% burnin.
The data were partitioned by gene fragment (Additional file 21).
The data were partitioned by codon position, with substitution rates allowed to vary among partitions.
The data were partitioned by gene and, for protein coding genes, by codon position.
Data were partitioned by gene and the ef-1α gene was further partitioned by codon position.
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All data are partitioned by genomic library (i.e. EST library or BAC library sequence).
When the data was partitioned by codon, we used a mixture of GTR and HKY models for each partition (Table 4).
In both cases, key structures with data were partitioned from common chemistry by dividing them into individual new PDFs for conversion.
Data were partitioned through Hierarchical Clustering, by using the Euclidean distance metric, and the Average Linkage Clustering as linkage method.
The data were partitioned as noted above.
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