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How can transcript structure be resolved according to these mapping patterns?
Viral promoters can transcript a high copy number of their downstream gene and express genes in all types of cells.
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With our recognizer, we can automatically transcript the recordings and compare them with the text from the web page.
Intrinsic terminators between genes can stop transcript elongation and thus prevent read-through transcription.
Reconstructing overlapping ESTs obtained by single-pass sequencing of random cDNA clones can predict transcript sequences.
Indeed, in a recent study it was shown that archaeal 3'-UTRs can influence transcript stabilities [22].
As noted above, both the sequencing depth and gene expression level can influence transcript border identification.
This targeting can induce transcript cleavage, degradation, destabilization, or repression of translation, thereby modulating protein levels.
Cleavage and polyadenylation (3'-processing) are essential steps in eukaryotic mRNA formation that can effect transcript stability and function [ 1].
Introduced over 10 years ago, DNA microarrays are now in routine use and can measure transcript abundance on a genome-wide scale.
Likewise, nonsense mutations in the coding sequence of a gene can decrease transcript levels by nonsense-mediated decay [ 22].
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