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The most prevalent codes in the data transcripts were terms associated with the notion of objectivity.
The data transcripts were reread, and explored for commonly-occurring articulations that provided evidences of cloud computing participants' experiences.
Data transcripts were analyzed using template analysis methods to derive meanings and increase understanding of the situation.
We acknowledge that the data transcripts may have multiple readings.
Constant comparative techniques were used to ensure data coding was consistent with the original data transcripts.
Data transcripts were exported to NVivo version 9.0 and were analysed using a thematic content approach.
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For comparison of gene expression with metabolite data, transcript and metabolite data were z-transformed prior to pairwise correlation (Pearson correlation coefficient) analysis.
By performing statistical analysis of the Exon Array data, transcript isoforms associated with metastatic phenotypes of these different tumors were identified.
To further validate microarray data, transcript levels of the selected genes were measured by RT PCR.
Next generation sequencing technologies allow comprehensive transcriptome sequencing (RNA-sequencing or RNA-Seq) that produces both qualitative data (transcript sequences) and quantitative data (transcript expression level) with an unprecedented level of sensitivity and accuracy [ 22– 22].
Consistent with these mammalian data, transcript expression studies in fish suggest that sepp1a plays several important roles.
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