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Acuity 3.1 was then used to construct a Pearson centred hierarchical dendrogram and GACK (Genomotyping Analysis by Charles Kim) [ 55] was used to generate a cut off value for identifying the presence or absence of genes.
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The BSC-40 cell lysate half of each plate was used to generate a cut-off value (COV) for each plate by averaging all the values of the BSC-40 lysate half and adding two standard deviations.
GACK (for Genomotyping Analysis by Charles Kim) [ 26], was used to generate a cut-off value determining the presence or absence of genes, and a dendrogam using the Euclidean distance metric with average linkage was created with tMEV v4.1 [ 27].
When generating a cut, position the wood on the bench and make sure the cutting area is clear to make certain you don't cut through anything you don't want to.
There was no x-ray structure for 11beta-HSD1 athehe time of this study, so using structural information from related enzymes, we generated a cut-down version of cortisone and used this as our virtual screening template.
All approaches analysed the hybridisation signals for each spot separately and generated a cut-off per spot to determine whether a sequence was conserved or divergent.
To avoid this complexity, at least in the case of tests carried out in laboratory conditions, the simplest approach seems to be able to generate a single cut-on mode by means of a properly constructed system, because to analyse the multi-mode wave, the contribution to the overall field from individual higher order modes must be established in advance.
The scar was caused by an accident with an angle grinder which generated a deep cut into the finger skin.
Transposases and integrases of DNA transposons and retrotransposons usually cleave the two DNA strands at different positions, generating a staggered cut at the target site.
Likewise, electronic tickets have reduced the cost to generate a ticket from $10 to $1. Cutting distribution costs is an action that has become the airline industry's best friend.
To examine the extent of bias introduced to diagnostic test validity research by the use of post hoc data driven analysis to generate an optimal diagnostic cut point for each data set.
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