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It is possible to identify SNPs that have significant differences in allelic frequencies between two populations while saving a significant amount in resources by pooling genomic DNA and then SNP genotyping on a single microarray, or preferably on a series of replicated arrays.
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Taking an extreme example, if one population has 50% A-T and 50% T-A haplotypes whereas another population has 50% A-A and 50% T-T haplotypes, there would be no difference in the marginal allele frequencies between the two populations, while the two-marker haplotypes are very informative.
Another possibility of this inconformity might be due to different genetic backgrounds between two populations: our samples are mainly from North China, while Zhang's samples are from South China.
This encounter between two populations is well documented.
To evaluate and compare the mortality between two populations.
PBC still appears to be more frequent in northern Europe and the United States, but overall the incidence ranges between 0.7 and 49 per million population, while the prevalence is between 6.7 and 402 cases per million population [ 10], thus making PBC a rare disease according to the 2002 Rare Disease Act.
The former factor could result in an underestimate of the difference between the two population groups, while the latter could have contributed to the differences in respiratory infections observed between the two groups.
For a while, that confused primatologists.The difference between the two populations turns out to be density.
Crossover is done between the two populations, i.e., between two rule bases.
The prevalence of experiencing economical difficulties was comparable, as was educational level, while civil status slightly differed between the two populations.
Multivariate linear regression analyses were performed to evaluate the duration of work while controlling for baseline differences between the two populations.
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