Sentence examples for best fitting the sequences from inspiring English sources

The complete edited alignment of all human and chimpanzee DUXY sequences was used in MODELTEST [65] to determine the model of nucleotide evolution best fitting the sequences.

MODELTEST [ 19] was used to select the model of nucleotide substitution best fitting the sequences.

The likelihood ratio test implemented in ModelTest 3.06 [ 62] found the TrN + I + G model best fitting the sequence data, and this model was employed in a heuristic ML analysis.

The simplest model of sequence evolution that best fits the sequence data (GTR+G) was determined under the Akaike Information Criterion (AIC) in jModeltest 0.1.1 [40], [40].

To determine the simplest model of sequence evolution that best fits the sequence data, the Hierarchical Likelihood Ratio Test (hLRT) and Akaike Information Criterion AICC) were implemented using MrModeltest 1.1b [62], [62] in each data set.

Note that these models were identified as the available ML models that best fit the sequence alignments, according to the AIC criterion [ 40].

Additionally, for the additional file 2, a ML analysis of mutagenized populations of FMDV was performed by means of the program Modelgenerator [ 61], useful to identify the optimal evolutionary model (Akaike Information Criteria and Hierarchical Likelihood Ratio Test indicated that the GTR model best fit the sequence data).

We use r = 0.45 and choose a generated network that has 4625 nodes and best fits the degree sequences of the original yeast PIN (with 4625 nodes).

We used MODELTEST version 3.06 [ 45] to determine the minimum parameter nucleotide substitution model that best fit the mtDNA sequence data under the Akaike Information Criterion [ 46].

An estimation which model of protein evolution best fits the multiple sequence alignment was generated by ProtTest (Abascal et al. 2005).

To best fit the sequence data for the hexon gene, we used the DNA/Protein model test to identify the optimal evolutionary model, GTR+Γ+I (general time reversible + gamma + invariable).