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Therefore, we assessed the impact of transcript abundance by categorizing transcript levels into quartiles based on Illumina RNA-seq data.
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By categorizing transcript products into different protein classes, we identified similarities and differences of gene usage between adult and embryonic neuronal differentiation.
To categorize transcripts by putative function, we utilized the GO classification scheme (April 2008 release of GO database, Gene Ontology Consortium).
Content analysis involves analyzing the interview transcripts by categorizing segments of the transcripts into topic areas[ 13, 14] Transcript segments can vary in size from a single word to paragraphs.
We normalized each transcript level by multiplying raw transcript levels by the scale factor (as in [6], [11]).
Qualitative content analysis involved analyzing the focus group transcripts by categorizing segments of the transcripts into topic areas called "themes" [ 24].
Gene Ontology (GO) assignment was carried out on unique sequences in order to categorize transcripts from P. margaritifera mantle by putative function.
CTB8 transcriptional activator controls cercosporin production by controlling gene transcript levels.
This cluster could be further categorized with respect to the transcript levels in WT tissues.
The other two (SAND and NAD5) were categorized as genes with relatively low transcript levels, since their median Cq values were between 20 and 25 cycles.
The cDNA representing chymotrypsin 2, AS 99, was categorized as a Late gene since maximal transcript levels were achieved after 24 hours PBM.
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