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Open AccessJournal ArticleDOI

RNA-Seq: a revolutionary tool for transcriptomics

Zhong Wang, +2 more
- 01 Jan 2009 - 
- Vol. 10, Iss: 1, pp 57-63
TLDR
The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
Abstract
RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.

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Citations
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FragSeq: transcriptome-wide RNA structure probing using high-throughput sequencing

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Web Apollo: a web-based genomic annotation editing platform.

TL;DR: Web Apollo is the first instantaneous, collaborative genomic annotation editor available on the web, which allows researchers to jointly analyze and precisely describe the features of a genome in real time, whether they are in the same room or working from opposite sides of the world.
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Next-generation sequencing data interpretation: enhancing reproducibility and accessibility

TL;DR: Currently pressing issues with analysis, interpretation, reproducibility and accessibility of next-generation sequencing data are discussed, and promising solutions are presented and potential future developments are explored.
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Epigenetic mechanisms of drug addiction.

TL;DR: The latest advances in the field of epigenetic regulation are summarized, focusing on histone modifications, DNA methylation, and noncoding RNAs.
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Tools for mapping high-throughput sequencing data

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References
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Journal ArticleDOI

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Journal ArticleDOI

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

TL;DR: It is found that the Illumina sequencing data are highly replicable, with relatively little technical variation, and thus, for many purposes, it may suffice to sequence each mRNA sample only once (i.e., using one lane).
Journal ArticleDOI

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