Sentence examples for many population samples from inspiring English sources

Moreover, when a study includes many population samples that were not characterized by the same molecular typing methods, the existence of different ambiguity patterns in different population samples further increases the complexity of the data.

While re-sequencing studies can detect large numbers of singleton SNPs in many population samples (depending on population history), the selection of informative SNPs for genotyping studies (i.e., ascertainment) ensures that most SNP marker alleles will segregate at intermediate frequency, exaggerating the difference in frequency spectrum that already exists between SNPs and SSRs [3], [4].

On the other hand, for many population samples of Sebacina epigaea, we were unable to amplify the mitochondrial DNA (ATP6 gene).

We restricted our compilation to markers for which many population samples were available for both sides of the Strait of Gibraltar in order to get enough information about the level of gene flow in each side of the Strait as well as across the Strait.

Many population samples with associated phenotypic information could yield valuable insights through GWA analysis, but the funding and industrial-scale infrastructure required for comprehensive genotyping of thousands of individuals will not be available; nor will funding be available to genotype samples again as new microarrays emerge.

However, the grouping of one of the Irish populations (Glencullen) with the Spanish populations could be due to homoplasy (a similar genetic structure due to convergence): this population also has more private alleles (alleles that are unique to a particular population from many populations sampled), and other Irish populations may have grouped together as they have fewer private alleles.

In common with many population surveys, the sample had more women (62.2% vs 53.2%), more respondents with university degrees (22.5% vs 15.2%), fewer from non-white ethnic backgrounds (1.7% vs 7.9%), and fewer aged over 7029.7%7% vs 34.2%) than the UK population in this age range (ONS, 2001; NISRA, 2004; ONS, 2005; ONS, 2011).

First, some general background on polls: They are extremely sensitive not just to methodological flaws like poorly chosen population samples, as many readers know, but also to the specific way that questions are worded.

Many of these studies used population samples without controlling for genetic variation and with little replication, if any, and therefore these results should be interpreted with some caution.

The use of PCA in population genetics has a long history, including early work of Cavalli-Sforza and colleagues [1], [2], who considered high dimensional genetic variants from population samples at many different continental locations and used the top PCs to summarize the genetic variation across space.

We sequenced population samples in which many plants were combined equally into a single DNA pool.