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We used a custom phylogenetic pipeline, plast2phy, that extracted protein coding regions from DOGMA annotated plastomes, aligned individual gene with Mafft v. 7.0.5 (−auto flag) [ 33], trimmed alignment gaps using trimAl v.1.2 (−automated1 flag) [ 34] and finally generated a concatenated alignment of all genes.

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A mathematical algorithm was developed, using the simulated pristine dose profiles as its input, to calculate the weight of each pristine peak, reproduce the SOBP, and finally generate a flat dose distribution.

This is done in an all-against-all procedure, and finally generates a list of pairs of 3D patterns, shown as interactive data tables and a Jmol viewer.

On the other hand, because the Meridian distribution has the characteristic of high energy concentration, it can suppress the small elements (such as noise and diffuse components) during the process and finally generates a sparse spectrum.

Our analysis drew on essentials of grounded theory, including remaining open to ideas emerging from the data, writing detailed analytic memos throughout analysis, using constant comparative analysis, progressing from initial codes to conceptual categories to diagramming the relationships among categories, and finally generating a comprehensive theory (e.g., Charmaz 2006; Birks and Mills 2011).

In this sense, such differences can be explained by the fact that PPARG2 polymorphism increases its gene expression on abdominal adipose tissue, which in turn boost adipocyte differentiation and maturation in that body region and finally generates a metabolic pathogenic process [ 60– 60].

The algorithm eliminates atoms not participating in tautomerism and finally generates all possible combinations.

We finally generated a conceptual model to delineate pathway-driven personalized medicine.

Thus, each image finally generated a feature vector with the size of 42×25=1,050.

We finally generated a third data set (#3) including orthologous sequences across the three cichlid species and the outgroup medaka.

As a result, we chose separate assembly and k-mer 23, and finally generated 72,977 long transcripts with lengths longer than 100 bp (Table 1).

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