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RNA-Seq: a revolutionary tool for transcriptomics

Zhong Wang, +2 more
- 01 Jan 2009 - 
- Vol. 10, Iss: 1, pp 57-63
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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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A quantitative atlas of polyadenylation in five mammals

TL;DR: PolyA-seq is shown to be as accurate as existing RNA sequencing approaches for digital gene expression (DGE), enabling simultaneous mapping of polyA sites and quantitative measurement of their usage, and usage is more similar within the same tissues across different species than within a species.
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RNA Sequencing and Analysis

TL;DR: This article provides an introduction to RNA-Seq methods, including applications, experimental design, and technical challenges, and applies them to investigate different populations of RNA.
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Improving genetic diagnosis in Mendelian disease with transcriptome sequencing

TL;DR: This study represents a large systematic application of transcriptome sequencing to rare disease diagnosis and highlights its utility for the detection and interpretation of variants missed by current standard diagnostic approaches.
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Computational analysis of bacterial RNA-Seq data

TL;DR: The results suggest that Rockhopper can be used for efficient and accurate analysis of bacterial RNA-seq data, and that it can aid with elucidation of bacterial transcriptomes.
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Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

TL;DR: It is demonstrated that the non-parametric NOISeqBIO efficiently controls false discoveries in experiments with biological replication and outperforms state-of-the-art methods.
References
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Journal ArticleDOI

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Mapping short DNA sequencing reads and calling variants using mapping quality scores

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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

SOAP: short oligonucleotide alignment program

TL;DR: The program SOAP is designed to handle the huge amounts of short reads generated by parallel sequencing using the new generation Illumina-Solexa sequencing technology, which supports multi-threaded parallel computing and has a batch module for multiple query sets.
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