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Numbers enclosed in parenthesis represent rank based on transcript frequency for the top 10 most abundant protein-coding transcripts in each library.
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Given the association of Syncytin-1 with neuroinflammation (Figure 1), select immune genes, based on transcript-derived tag frequency were interrogated for their expression levels in all five healthy brain specimens (Figure 5C).
A qualitative study based on transcript analysis was adopted.
Based on transcript level, 433 genes were selected.
Some are based on transcripts and audio recordings, others are stories recited through the generations.
The AmpliSeq-RNA technology adapted to high-throughput semiconductor sequencing allows robust transcript quantification based on amplicon frequency.
Although the transcriptome of the non- vinifera species has been minimally characterized, a comparison of the top-ranked transcripts based on MPSS signature frequency (Tables 8 and 9) showed remarkable similarities between the different species.
Based on the frequency of the occurrence of transcripts contained in each Pfam domain, we ranked the Pfam domains/families and listed the top ten abundant domains/families in Figure 3b, with hit results similar to the previous study [ 5].
Digital expression data, based on the frequency of reads belonging to each assembled transcript, are also available.
Once all transcripts were coded, similar codes were merged based on code frequency and consensus.
Based on total frequency, >1 in 5 parasite tags corresponds to transcripts encoding dense granule, microneme and rhoptry proteins or surface antigens.
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