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Based on PCoA landraces from South Europe, Balkans and Middle East were the most diverse subset of S cereale ssp.
We then select a new most diverse subset of size 200 haplotypes for each of the data sets with genotyping error.
Considering that study samples from genotyping arrays usually have a very low genotyping error (e.g., <0.1%) (Illumina 2010), our simulation results show that while the selection of the most diverse subset is affected by genotyping error, even with substantial genotyping error, the selected panel is still substantially more diverse than a random reference panel.
Employing sequences from a candidate gene and the 1000 Genomes Project, Fridley et al. (2010) demonstrated the feasibility of imputing genetic variants based on a sequenced proportion of a study sample, and they suggested sequencing "the largest and most diverse" subset.
To evaluate the robustness of the most diverse reference algorithm to the presence of genotyping errors, we introduce genotype error uniformly at random to each of the 50 simulated genotype data sets and generate the most diverse subset based on the modified genotypes.
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When all 4,168 sequences annotated for "catalytic activities" were combined, they represented together with the sequences annotated for "binding activity" (4,027 sequences) the most diverse subsets within the molecular function group.
We propose the "most diverse reference panel", defined as the subset with the maximal "phylogenetic diversity", thereby incorporating individuals that span a diverse range of genotypes within the sample.
In particular, we employ an adaptive regression model to estimate the diversity of a diverse subset.
Even if you have the most diverse customization options in your game, there will always be a subset of people you offend or exclude.
Even if you have the most diverse customisation options in your game, there will always be a subset of people you offend or exclude.
Overall, the scaffold-diversity assessments measured with scaffold counts and CSR curves were in agreement showing that the anticancer drugs data set was the most diverse (despite it being the smallest data set), whilst the GRAS and GRAS subset data sets were the least diverse.
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