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All marker data and flanking sequences have been submitted to Cotton Marker database The 24 cotton lines and species screened for this study were chosen based on an expansion of the Cotton Marker Database (Table 2, [ 13]) standard germplasm panel assembled to represent the breadth of US cotton breeding germplasm and genetic standards.
We adopt the Bayesian inferential machinery due to its firm theoretical basis and its capability of handling uncertain quantities; such as unobserved model parameters, missing marker data, and even different putative genetic models, probabilistically within a single framework.
On the basis of marker data and marker/genomic sequence comparisons, Arachis shares the early polyploidy event with the other papilionoids [12].
We used the Lynch & Ritland (1999) estimator of relatedness because it has been shown to perform well in simulations for a wide range of marker data and population structure [83].
Recent genomic technologies have opened a new avenue to generate genome-wide marker data and, therefore, characterize the specific loci or DNA sequence variants that are associated with the phenotypic variation in static [28] [30], [37] or dynamic traits [26].
Manual inspection of the position marker data and the glove data synchronized to the video data (Figure 4), produced a straightforward criterion: common to all tool production sequences were characteristic spikes in the velocity plots of the tool hand, of 0.7 2 meters/second for "percussion" and 0.5 1.2 meters/second for "light percussion" events.
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This approach, however, requires tightly physically linked markers data and substantial population differentiation (otherwise the correlation in FST between linked will remain poor even with stringent marker filtering).
Subsequently, immune markers data and clinicopathological features that were found to be significantly associated with lymph node involvement in univariate analysis were entered into a multivariate logistic model.
Thus, expression microarrays hybridized with RNA are able to provide us not only with phenotypic (variation in gene expression) but also with genotypic (marker) data (Zhu and Salmeron 2007).
We then estimated the correlations between RD matrices based on different imputed low to high density marker data sets and the original 90 k SNP marker data.
We subsequently estimated the correlations between RD matrices based on different imputed GBS-like marker data sets and the original 90 k SNP marker data.
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