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All of our new housing should be build to Happi (Housing our Aging Population: Panel for Innovation) standards and principles.
First we explored the simple scenario where phases 1 and 2 are performed in 5,000 samples from the CEU population panel (Table S1).
The reduction in the numbers of cells with 4C DNA for the asynchronous population (panel C versus E) and with 2C DNA for the synchronized population (panel H versus J) clearly shows that gating on this region in the FSC vs. SSC cytogram is necessary to obtain reliable DNA histograms of single cells and therefore to arrive at the correct cell-cycle distribution.
Performing phase 2 of the GWAS in a non-European population panel demonstrated a marked power gain for alleles with low frequency in CEU (MAF ≤5%), in a trend that remained true with increasing sample size or greater effect sizes (Figure 1 and Figure S2 for alleles of 5 10% frequency in CEU).
We resequenced 20 independent noncoding autosomal regions dispersed throughout the genome, accounting for a total of 27 kb per individual, in a large population panel of 213 individuals from different continental populations, which may help to obtain a more general picture of human demographic history.
We used the reference population panel with known admixture components relative to putative-ancestral population.
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The objective of this study was to evaluate the effect of this MYOC mutation on IOP using data from large-scale European population panels (directly sequenced and imputation based).
In phase 2, we used the allele frequencies in any of the population panels represented in HapMap 3 or 1000 Genomes (see below).
Any of the African population panels (YRI, MKK, or LWK) and the admixed African-American (ASW) panel provided the greatest power gain as compared to a GWAS performed in CEU samples.
We also used frequency estimates from low-coverage sequencing data in four population panels (CEU, CHB, JPT, and YRI) generated in Pilot 1 of the 1000 Genomes Project [15].
Although there is potential for selection bias in web-based surveys, bias between variables in preference elicitation studies is minimal and general population panel-based web surveys have been shown to be valid and reliable.
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