Sentence examples for a function of divergence from inspiring English sources

We recognize that genetic divergence among populations is a function of divergence time and historical introgression (i.e. prior to the current secondary contact).

In this case some interesting distances can be expressed as a function of divergence time, t, and therefore can be used to construct phylogenies.

For each scaled population size and sequence length, 1000 replicates were run up to a time of μ 0 t = 500, allowing us to calculate the probability of the presence of a DMI as a function of divergence time.

The probability of a DMI P I (t ) as a function of divergence time μ 0 t is plotted in Figure 1, for various values of 4 κ F N e for ℓ = 10.

Moreover, expression diverges as a function of molecular divergence (dS) at a rate statistically indistinguishable from that of DNA-based duplicates (fig. 4; Li et al. 2009).

Finally, we plotted the percentage of total shotgun reads as a function of sequence divergence from consensus; assuming equal rates of nucleotide substitution, such sequence divergence distributions are a proxy for age distributions.

We plotted the fraction of total shotgun reads as a function of sequence divergence from consensus; assuming equal rates of nucleotide substitution, such sequence divergence distributions are a proxy for age distributions.

This result suggests that the increased number of statistically divergent promoter regions we observe is not a function of sequence divergence, but rather increased statistical power afforded by the greater length of the sequences surveyed and the greater number of TFBS found.

However, we observed a linear decay of call rate and accuracy as a function of sequence divergence, as recently reported for Rhabdoviruses [11], showing that the quality of the signal is dependent on the nature of the sequences incorporated in the microarray design.

The latter may explain why the amount of transgression is not a function of phenotypic divergence in our data set.

On a standard single-core processor, aligning the entire dataset of 28 060 sequences with Dissect took <80 min. Next, we aimed to observe how Dissect's false event discovery rate varies as a function of sequence divergence (between the transcript and the genome)—and thus sequencing error rate.