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Briefings in Functional Genomics
Article . 2017 . Peer-reviewed
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On the design and prospects of direct RNA sequencing

Authors: Georgi K, Marinov;

On the design and prospects of direct RNA sequencing

Abstract

Throughout the past nearly a decade, the application of high-throughput sequencing to RNA molecules in the form of RNA sequencing (RNA-seq) and its many variations has revolutionized transcriptomic studies by enabling researchers to take a simultaneously deep and truly global look into the transcriptome. However, there is still considerable scope for improvement on RNA-seq data in its current form, primarily because of the short-read nature of the dominant sequencing technologies, which prevents the completely reliable reconstruction and quantification of full-length transcripts, and the sequencing library building protocols used, which introduce various distortions in the final data sets. The ideal approach toward resolving these remaining issues would involve the direct amplification-free sequencing of full-length RNA molecules. This has recently become practical with the advent of nanopore sequencing, which raises the possibility of yet another revolution in transcriptomics. I discuss the design considerations to be taken into account, the technical challenges that need to be addressed and the biological questions these advances can be expected to resolve.

Keywords

Nanopores, Sequence Analysis, RNA, RNA, Messenger, Transcriptome

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
bronze