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To describe the global patterns of NAT2 haplotype and phenotype variation, we focused on the 99 population samples adequately characterized for the seven (or six for non-African samples) SNPs of NAT2 (see Materials and Methods).
Based on this distribution of genetic variation, we focused on discrimination of the 14 most frequent HLA-A, 23 HLA-B, and 12 HLA-C alleles that provide population coverage ranging from 80 to 90% in East African populations (see insets in Figure 1).
Due to the controversy over the topic of anatomic variation, we focused specifically on GISTs of the small intestine.
To test whether increased technical replication reduces technical variation, we focused on D. yakuba, which offers the greatest range of sequence divergence relative to D. melanogaster.
To further investigate the pan-genomic variation, we focused on the unique genes, on average 1,224 per B. rapa genome.
As the DNA methylation patterns are prone to individual and conditional variation, we focused on the analysis of the genes revealing the most distinguishing differences in the methylation status.
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While recent studies show that preference heterogeneity across countries explains little of this variation, we focus on two other important features: observation period and estimation method.
Hence, for investigating the SSW-induced variations, we focused on dynamics that differ among site.
Taking these factors into account and to exclude individual variations, we focused on the ultra DMRs, which were defined as genomic regions that are hyper- or hypomethylated in more than half of samples.
Since age and gender are the most important physiological correlates of BRS, explaining 52% of BRS variation [6], we focused our evaluation of TRS on age- and gender-related changes of BRS and frequency spectra in healthy individuals.
To investigate the within-species variation of HEGs we focused on Metridium senile.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com