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To differentiate between new and pre-existing infections and to estimate durations of infecting parasite genotypes, we followed, with modification, the method of Franks and colleagues [ 3], which utilized the analysis of alleles at multiple loci.
Due to potentially confounding factors, and the relatively permissive BLAST cutoff threshold utilized, the analysis of taxonomic affinity in this study represents a provisional phylogenetic stratigraphy of gene origins.
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The effect of interactions between blending conditions and modifier content were studied by utilizing the analysis of variance (ANOVA) method and hypothesis tests.
We propose to utilize the analysis of variance for identification of stress-related gene modules by using the expression levels of the Eigen gene as the dependent variable and the treatment conditions of the sample as the independent variable.
Briefly, data for 60 min pretreatment were used as a mean baseline reading to calculate individual AUC values utilizing the analysis function provided by the software.
The spectra were then submitted to DICHROWEB (21) for deconvolution into secondary structure components utilizing the analysis programs CDSSTR or CONTIN (18– 20), with reference sets 'Dataset 3' or SP175 (17).
To explore the potential pathways regulated by these miRNAs, we conducted Gene Ontology analysis utilizing the "GoStat" analysis tool (http://gostat.wehi.edu.au/).edu.au/
Our study utilized the MA.14 final analysis database, median follow-up 7.9 years.
The analysis utilized the Multiple Reaction Monitoring function of the MassLynx v4.1 (Waters Inc) control software.
Second-level analysis utilized the individual contrast images from the first-level analysis.
The historical meteorological data were utilized in the analysis.
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