Sentence examples for mutation bias parameters from inspiring English sources

Unlike mutation bias parameters, empirical estimates of the codon-specific differences in translational efficiencies do not exist.

For selectively neutral sequences, the expected fraction of GC versus AT in a given region of the genome is determined by the ratio of the mutation rate for GC→AT to that for AT→GC; this ratio is the mutational bias parameter κ, (Sueoka 1962; Li 1987; Bulmer 1991).

The mutation process was modelled using two parameters, the mutation bias and the transition-to-transversion ratio.

As a result of the change of the selection parameters β i with the mutation bias, the probability that a mutation is accepted depends on the mutation bias.

Briefly, when fitted to the S. cerevisiae S288c genome, we find nearly perfect agreement between ROC SEMPPR's with and without Φ ⃗ estimates for codon-specific protein synthesis translational inefficiencies, Δη, and mutation bias, Δ M (Pearson correlation ρ > 0.99 for both sets of parameters, see figs. 1 and 2).

Nevertheless, using parameters < h> and < h> that do not depend on the mutation bias in Eq. (5) still produces a good agreement between the mean-field and simulation results.

Last, we note that, despite simulated and observed properties have a qualitatively similar response to the mutation bias, from a quantitative point of view simulated quantities depend much more strongly on the mutation parameters.

Mutation bias effects are superimposed on other processes.

Strand-specific mutation bias has been supposed to be the main force driving and maintaining the codon usage bias [2].

Thus, the tRNA-mediated selection and the mutation bias are in opposite directions.

Mutation bias indicates the total excess (or deficiency) of mutations within a given mutation context.