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The observed number of CNV events was used to estimate the mutation rate parameter (theta) for the simulations.
SAMOVA-group estimates of population mutation rate parameter were moderate, with θW ranging 0.0031-0.0053 (Additional file 1: Table S5).
The duration of the simulation was fixed, so the number of mutations accumulated since introduction only varied with the mutation rate parameter θ or ω.
Studies of population mutation rate parameter θ demonstrate that N ≈ 8 samples are typically sufficient for characterizing genetic diversity, though estimates are improved by recombination and more loci [ 48, 49].
This model has one scaled mutation rate parameter for each population (θ1, θ2 and θ A, respectively for populations P1, P2 and ancestral; note that in all our simulations θ A = θ1).
Like crossover, this operator is only applied when a random number generated uniformly in the interval [0, 1] is less than ν, the mutation rate parameter, otherwise the offspring individual is left unchanged.
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This ratio was sensitive to the mutation rate parameters retrieved from the literature, and we thus carried out the analysis for a range of parameter values.
These unknown error and mutation rate parameters are inferred from the DNA, virus, and mutvirus samples using the Bayesian approach described in Bloom (2014).
For the WFDC genes, we ran 10 coalescent simulations using "ms" (Hudson 2002) and mutation rate parameters estimated from the sequenced data with SLIDER.
Technically it is difficult to accurately estimate the mutation rate parameters on either of the lineages surrounding the root, because the placement of the root in the tree not uniquely determined in the data set.
Although the present study cannot therefore address exactly how to tune mutation rate parameters on a per family level, it is clear from our results that out pairwise mutation model is successful in improving the detection of remote homologs of β-structural motifs.
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