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The relative weight of each mutation to calculate the PCA 'score' ranged between 0% (e.g. mutation at codon 22) and 4.3% (e.g. mutations at codons 10 and 54).
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At each time point of the simulation, we calculate the effect of every possible single nucleotide mutation, and use all of these mutations to calculate the distribution of population-scaled fitness effects as well as the instantaneous substitution rate, represented by the ratio of nonsynonymous to synonymous substitution rates (d N/d S).
We used this mutation rate to calculate the probable domestication time of yaks.
The search is performed on the selected classification using BLOSUM 62 (Henikoff and Henikoff, 1992 ) as mutation table to calculate the sequence score; Classes with the same conformation and subclasses with the same geometry and/or conformation of the loops of an uploaded protein structure.
The non-synonymous rate was higher in the three genes E, M, and N, suggesting some of those mutations might increase antigenicity, although the number of mutations used to calculate these rates was small.
In this work we used a structure-based approach and the protein design algorithm FoldX to analyze these mutations and to calculate changes in stability of CYP21A2 protein.
Pairwise comparison of the TAAR nucleotide sequences revealed the mutations that had occurred during the development of these repertoires; this comparison also made possible to distinguish between silent and nonsense mutations and to calculate the dN/dS ratios (summarized in Table 6).
To incorporate the effect of uncertainty around the mutation rate, we used the upper and lower estimates of the mutation rate (4.54 12.54%) to calculate wider credibility intervals (CI) than if we had simply used the average mutation rate.
These mutations allowed us to calculate precise estimates of the mutation rate and spectrum for Sc.
However, it is problematic to use conventional mutation rate estimates to calculate when the j and t haplotypes diverged from a single common ancestor because a significant proportion of a KIR haplotype is coding sequence and much of the non-coding DNA may be functional.
The frequency-based approaches reviewed above are contingent upon either an assumption of a background mutation rate or the availability of a large number of mutations in the dataset to calculate an empirical background mutation rate for the sample of interest.
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