The eight transcripts varied in length from 15 to 25 single-sided pages.
First, secondary analysis of qualitative data was carried out involving the re-analysis of 81 in-depth interview transcripts.
This forms the basis for the prediction-strength value, according to which the transcripts are then ranked.
To ensure reliability, 10 % of the adjective utterances from a random sample of transcripts were coded independently by a fourth coder.
We hypothesize that natural quantitative variation in the gene transcript level is partially explained by the transcript level variation of upstream splicing factors.
Characterization of the transcript and putative promoter sequences identified a novel upstream uncoding exon and two alternative transcripts encoding an identical open reading frame.
Each transcript was read in detail, and significant phrases or statements that pertained to the experience were extracted.
A transient increase in transcript levels was also noted in non-dormant or slightly dormant cultivars.
