Although these methods represent significant advances in estimating codon-specific mutation biases and selection coefficients from genomic data, they are limited to genomes with independent measurements of gene-specific protein synthesis rates or a close proxy.
Nevertheless, the significant speedup between the method from [17] and the proposed method represents a significant step into the direction of a real-time application.
This method represents a significant enhancement from the similar methods that are previously available.
Results from the mechanical properties, rheological studies, and X-ray diffraction (XRD) show that this method represents a significant improvement relative to direct melt blending in single or twin-screw extruders or other methods using sc-CO2.
Because of the substantially reduced numerical error (for given grid size and number of particles), the present hybrid method represents a significant advance in the computational efficiency of particle/mesh method for the solution of PDF equations.
Despite its simplicity, the proposed method represents a significant improvement, and compares favorably with other volume of fluid methods as regards the accuracy and efficiency of both the advection and reconstruction steps.
While optimal recording conditions may be difficult to achieve, particularly in a clinical environment, the relatively small amount of data required for classification using this method represents a significant reduction in testing time versus conventional stimulation parameters.
Map-based cloning in soybeans has thus far identified few genes [ 35], and this method represents a significant advancement.
Nonetheless, our method represents a significant savings in time in post sequence retrieval as the reads were cleaned, assembled, and put into alignment ready FASTA files using BarcodeCruncher.
Our method represents a significant improvement compared with a baseline lookup approach, achieving overall macro-averaged Precision of 80%, Recall of 98%, and F-Measure of 85%.
