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RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome.
Gene Set Association Analysis for RNA-Seq GSAASeq are computational methods that assess the differential expression of a pathway/gene set between two biological states based on sequence count data. GeneSCF a real-time based functional enrichment tool with support for multiple organisms.
In general gene expression is regulated through changes [47] in the number and type of interactions between molecules [48] that collectively influence transcription of DNA [49] and translation of RNA. [50] Some simple examples of where gene expression is important are: Control of insulin expression so it gives a signal for blood glucose regulation.
The tag frequency can be used to report on transcription of the gene that the tag came from. [1] Serial Analysis of Gene Expression (SAGE) is a transcriptomic technique used by molecular biologists to produce a snapshot of the messenger RNA population in a sample of interest in the form of small tags that correspond to fragments of those ...
The development of high-throughput RNA sequencing (RNA-seq) and microarrays has made gene expression analysis a routine. RNA analysis was previously limited to tracing individual transcripts by Northern blots or quantitative PCR. Higher throughput and speed allow researchers to frequently characterize the expression profiles of populations of ...
This knowledge in turn allows a researcher to investigate promoter structure necessary for gene expression. CAGE tags tend to start with an extra guanine (G) that is not encoded in the genome, which is attributed to the template-free 5′-extension during the first-strand cDNA synthesis [ 2 ] or reverse-transcription of the cap itself. [ 3 ]
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