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Using the ITS2 segment of each ITS sequence, secondary structure was predicted by searching the ITS2 database [ 62] for the best match template and then modeling its structure based on free energy minimization.
ΔCq values (the difference between the Cq value for the allele-specific primer for each template and the Cq value for the perfect match template) are shown in Figure 7. Standard errors of the ΔCq values were less than or equal to 0.1 cycles in all cases except when the rA primer was paired with the G template, where the standard error was 0.49 cycles.
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We consider the design principles of algorithms that match templates to images subject to spatiotemporal encoding.
From that it is possible to pick the best matching template among the candidates.
Additionally, the matching template load profile can be seen as an approximation to the load profile forecast.
It can detect and estimate pose of objects simultaneously from the pose of the model of matched template image.
The architecture adaptively chooses the best matching template from a set of competing templates to predict the label of the incoming sample.
Therefore, the distance of the load profile to the best matching template load profile are supposed to be in the utility region R −.
On the one hand, it may re-send any load profile forecast to determine the new index of the matching template load profile.
The ETScore describes the difference in evolutionary importance of matched residues and the rmsd describes the difference in structure of the matched template.
Alternatively, the discrepancy in findings might reflect unappreciated genetic variation across lineages of IAPV, to the extent that primers poorly matched template cDNA.
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