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The coding sequence for proteins is dispersed over exons, and the location where introns interrupt the code can be in three phases in relation to the coding sequence: either between complete codons (phase 0 introns), interrupting after the first nucleotide of the codon (phase 1 introns), or interrupting after the second nucleotide of the codon (phase 2 introns).
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The estimating procedure was implemented in R (16) (R Foundation for Statistical Computing, Vienna, Austria), and the code can be found in Appendix 2. In Appendix 1, we also discuss uncertainty estimates for β ˆ and γ ˆ, respectively.
The code can be used in order to perform simulations of Bose Einstein condensates in gravito-optical surface traps, isotropic and full anisotropic harmonic traps, as well as for arbitrary trap geometries.
The code can be run in sequential or parallel mode.
The details of the code can be seen in https://github.com/rodrigogbranco/extendedmss.
A short description of the code can be found in [17].
Also, the code can be used in the optimization and design of shapes of vehicle body and its appendages.
Moreover, the code can be run in transport regimes ranging from purely anomalous diffusion to fully established turbulence.
The results show that the code can be used in the thermal-hydraulic analysis of the reactor core under motion conditions.
The details of the code can be seen in https://github.com/rodrigogbranco/extendedmss. Figure 2 shows how we can map a BSP/CGM algorithm onto a GPGPU.
The details of the code can be seen in https://github.com/rodrigogbranco/extendedmss. Figure 8 and Table 5 show the average execution times.
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