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We consider the two simplest and most popular estimators, θW based on the number of segregating sites in a sample [41], proportional to the total size of the tree, and π, the average number of differences between two random sequences of a sample [42].
The average levels of nucleotide diversity in the two genes are comparable, both having about 4 nucleotide differences per 1,000 sites between two random sequences across the entire genes (Table 3).
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The sequence-matching rule should be viewed as an information-theoretical constraint, where the interaction between two genes requires the fulfillment of a set of conditions which we symbolically represent as the matching of two random sequences.
They estimate that comparing the DNA sequences between two random C. intestinalis individuals would reveal a difference once every 18 base pairs.
But then, there are also measures of co-movement between two random variables.
As the only difference between these two random datasets is the nucleotide emission probabilities at each sequence position, it suggests that transcription factor binding sites are biased by sequence composition.
For each organism, three sets of random sequences were created.
This paper investigates some precise large deviations for the random sums of the differences between two sequences of independent and identically distributed random variables, where the minuend random variables have subexponential tails, and the subtrahend random variables have finite second moments.
At least some non-random sequences satisfy many of the measure one properties required of random sequences.
We evaluated a set of random sequences in two steps.
The ratios of the four bases in the synthesized random sequences used in this research, which were placed between T7 sequences, were almost uniform, as a result of a direct sequencing (Figure 1a).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com