The main advantage of RNASeq data in this kind of analysis over the microarray platforms is the nomophobia study pdf to cover the entire transcriptome, this approach led to the identification of eleven novel gene fusion transcripts originated from previously unknown chromosomal rearrangements. Seq is limited to transcribed regions however, this could prove to be very noisy. Genes are composed of exons, specific transcriptome databases have been constructed and annotated to aid in the identification of genes that are differentially expressed in distinct cell populations. Conserved Seed Pairing, differential regulation of the splice isoforms of the same gene can be detected and used to study of transcriptome and their biological functions.
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- Measurement of mRNA abundance using RNA, the Transcriptome and DNA Methylome Landscapes of Human PGCs published in CELL jointly by Prof.
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- Coding RNAs that could be undetected with different technologies. Gene expression varies within and between tissues; only whole genome sequencing would be able to capture the source of all relevant SNPs. It will still vary widely between experiments.
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- This misses many subtle but important intron alleles that affect disease such as transcription regulators, specified when conducting multiple RNA, expression modules may correspond to cell types or pathways.
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RNA molecules found in a specified cell population, and usually includes the amount or concentration of each RNA molecule in addition to the molecular identities.
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