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In the present study we analyse the importance of the variant among breast cancer patients with a known familial disposition compared to sporadic cases and controls.
For example, if the pool size k increases from 3 to 30, the probability that only one chromosome carries the variant among 2 k chromosomes increases about eightfold from 0.03 and 0.22.
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Traditionally, the first few PCs are used in data analysis, since they retain most of the variants among the data features (in the original data set), and eliminate (by the projection) those features that are highly correlated among themselves; whereas the last few PCs are often assumed to retain only the residual noise in the data [23, 57].
The distribution and frequency of the variants among the eight scaffolds is shown in Figure 1.
Differences in LD architecture encompassing the variants among different populations may help to fine-map the causal variant if shared across ethnicities, as shown in Palmer et al. (8).
Then, following the reconnection event, gene flow distributes the variants among populations to the point that they occur at similar frequencies in each population and the genetic compositions of populations are fully homogenized.
Besides reconstructing longer contig, Meta-IDBA provides a multiple alignment of similar contigs from different subspecies in the same species, which represents the variants among genomes of these subspecies.
We observed a lower frequency of this variant among the patients with CV complications.
The results showed that the predominant variant among women infected with HPV16 was the EUR lineage (62.8%, 191/304), followed by As (37.2%, 113/304).
The frequencies of the variant allele among the cases and controls were 43% and 41%, respectively.
A total of 1,060,437 bp (representing 64 mtGenomes) were generated with the PGM and the variant calls among these bases were directly compared with the STS consensus haplotypes.
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