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The next-generation sequencing (NGS) technology is far more powerful than any existing generic DNA fingerprinting methods in generating DNA markers.
Several authors have reported the use of geostatistical methods in generating initial realizations that represent prior knowledge of the distribution of static variables (permeability and porosity).
The purpose of using such a highly diverse sample was to demonstrate the power of these methods in generating a clean average model even with a population showing high topological variability.
The results of the current analysis illustrate the usefulness of GAM methods in generating hypotheses for further investigation.
These results illustrate the usefulness of GAM methods in generating hypotheses for future investigation and supporting existing hypotheses.
The results indicate that WCA is more effective than the other three methods in generating axes that reflect variations in synonymous codon usage.
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The detailed method in generating protein-based pharmacophores has been described in our previous paper [10].
These results also demonstrate the use of the dynamic control method in generating arm swing motion.
The results demonstrate the success of the method in generating suitable, practical solutions to the design problem.
The results of the optimization demonstrated the success of the MD method in generating practical design solutions which meet both performance requirements and manufacturing considerations.
Vigorous proof of the validity of the new method is provided, and a case study is presented to demonstrate the capability of the method in generating a practical layout design for a cooling system.
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