Sentence examples for genetics inference from inspiring English sources

The rationale behind population genetics inference is that each of these steps leaves an imprint in the distribution of genetic variation within and among populations (i.e., the population structure) that can help distinguish among possible competing hypotheses on the history of the bioinvasion process and the population biology of the invasive species.

Many population genetics inference methods for microsatellite data require the adoption of a mutation model such as those described above.

Advances in population genetics inference might help better explain the nucleotide variation patterns found in this region and differentiate between selection and demographic processes in the expansion of the H2D haplotype in Europe [ 31, 74].

Furthermore, RAD-Seq approach has also been exploited in wide range of other studies such as association mapping [ 40], population genetics inferences [ 41- 44], genetic mapping [ 35, 45, 46] and in estimation of allele frequencies [ 47].

Because population samples included in this study (as in most human population genetics studies) are not optimal for the population genetics inferences to be addressed, it is important to consider the limitations of our results.

Extensive theoretical work [15] [20] has shown that surveys of ascertained SNPs may introduce a bias in the distribution of allele frequencies, linkage disequilibrium and polymorphism levels and, therefore, affect population genetics inferences.

Both population genetics inferences and observations in the field are in accordance for a denser and bigger population of B. azoricus, which would agree well with the asymmetry of the barrier to gene flow.

Future studies are needed to demonstrate whether EBL-1 binds differentially to GPB S−s+ vs. S+s+ RBCs, and thus indirectly substantiate at a molecular level our observation of association studies at the population level and our population genetics inferences about the action of natural selection.

Before pursuing detailed population genetics inferences, we performed three analyses to assess data quality and false discovery rates.

Additionally, the study did not consider hierarchical population structure, a rather common feature of natural populations with important implications for population genetics inferences (Robertson 1975).

Population genetics inferences are primarily based on two sources of information: the site frequency spectrum of mutations (SFS) and the statistical association among those, that is, linkage disequilibrium (LD).