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In all, this study represents the most comprehensive and specifically designed comparison of short-oligonucleotide microarray platforms to date using the largest set of overlapping genes.
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The third is using the largest sets of sequences that are associated with single SPs as the basis for our taxa-counting algorithm.
These results prompted us to systematically identify and examine WRKY TF genes in canola using the large set of available expressed sequence tags (ESTs).
Using the large set of satellites data we obtain the average energy spectrum, the approximation of spectrum using kappa-function, the flux dependence on L, B geomagnetic parameters.
However, some of the most common instances of PIP differed from those identified using the larger set of criteria.
Using the large Set 2, experiments are conducted to validate performance of CRFs on classifying four rhetorical roles.
Moreover, almost all the lines (>92%) detected with multiple chromosome (>3) breaks using the larger set were also included in the set of informative lines identified using only 35 markers.
Second, for the same individuals, we used EC10 values as a quantitative phenotype in regression analysis for an additive SNP model, using the larger set of 1.3 million SNPs (chr1-X).
With the large reference set and two mismatches allowed, the numbers improved (38 45% of all tags were used in the differential expression analysis) but did not reach the numbers obtained when using the large set of partial P. fastigiatum ESTs 54-711%).
The DS model used the largest set of predictor variables.
Within the chosen species, that is, the A. tumefaciens genomovar G8, we used the largest set of markedly different strains available when the array was designed.
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