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Medium composition for transglutaminase (MTGase) production by Bacillus circulans BL32, a recently isolated strain from the Amazon basin, was optimized using a stepwise strategy.
We entered these variables in the multivariate logistic model using a stepwise strategy.
We have shown that, by using a stepwise strategy to address specific problems relating to codon optimisation, periplasmic protein translocation and tight regulation of expression, efficient bacterial expression of DI of human β2GPI is possible.
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We used a stepwise strategy to obtain the final model.
A logistic regression model was developed using a stepwise forward strategy.
All the housekeeping genes are ranked according to their expression stability score using a stepwise exclusion strategy where the housekeeping gene with the worst score is eliminated at each calculation (Supplementary Table S4).
We then used multivariable logistic regression models to identify the independent predictors of leukocyte telomere shortening (vs. maintained or lengthened) as a dichotomous variable, again using a stepwise backward selection strategy with predictors retained in the final model at p<0.1.
Using a stepwise backward elimination strategy to calculate the adjusted OR, an unconditional logistic regression model was used for the multivariate analysis.
We build a framework map with a LOD threshold of 3, using a stepwise locus-adding strategy, starting from the markers with the higher number of informative meioses.
A 1000 1 framework map was built with buildfw option using a stepwise locus adding strategy under an haploid model of fragment retention.
A draft 1000 1 framework map was then built with Carthagene software [ 14], using a stepwise locus adding strategy (data not shown).
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