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Exact(5)
Of this filtered dataset, a subset of 3,500 randomly sampled markers from each chromosome was analysed with the Haploview software96.
Hence, all segments of the genome were covered, but the sampled markers were not exactly equidistant.
This was expected, given that randomly sampled markers will be mostly uncorrelated and therefore closely estimate an isotropic matrix.
In our approach we chose to maximise species sampling, while minimising missing data by choosing only the most densely sampled markers available.
This certainly does not capture all of the complexities of recombination in real genomes [ 44- 46], but it efficiently models a highly structured genome where many randomly sampled markers will be on the same chromosomes.
Similar(54)
If this difference is less than twice the sampling frequency, the sampled marker frequency can have only a single point between a steady frequency and fixation, a situation which is compatible with an arbitrarily high selection coefficient.
To date, these data represent the most comprehensively sampled marker for the downy mildews; other genes are much less studied.
However, the importance of this result has to be attenuated since we do not have an equal representation for each situation and a too low sampled marker set.
For each trait analyzed with the rice and maize datasets, and iteratively for each sampled marker, a true QTN effect was added to the observed phenotype.
However, randomly sampling markers from larger data pools would fail to identify smaller scale changes, such as a single chromosome UPD or a segmental copy number alteration.
In sampling marker effects, updating r h s using equation (34) is the only non-scalar computation, and when π is close to 1, the number of such updates can be very small.
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