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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
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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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Comparative Evolutionary and Developmental Dynamics of the Cotton (Gossypium hirsutum) Fiber Transcriptome

TL;DR: The understanding that human selection over the past 5,000+ years has dramatically re-wired the cotton fiber transcriptome sets the stage for a deeper understanding of the genetic architecture underlying cotton fiber synthesis and phenotypic evolution.
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Characterization of duplicate gene evolution in the recent natural allopolyploid Tragopogon miscellus by next-generation sequencing and Sequenom iPLEX MassARRAY genotyping.

TL;DR: Using 454 and Illumina expressed sequence tag sequencing of the parental diploid species of T. miscellus, 7782 single nucleotide polymorphisms that differ between the two progenitor genomes present in this allotetraploid are identified.
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Next-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutions

TL;DR: An overview of state-of-the-art next-generation sequencing (NGS) platforms and their applications, including in genome sequencing and resequencing, transcriptional profiling and high-throughput survey of DNA-protein interactions (ChIP-Seq) and of the epigenome is provided.
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3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.

TL;DR: It is demonstrated that 3SEQ is an effective technique for gene expression profiling from archival tumor samples and may facilitate significant advances in translational cancer research.
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Trends in Next-Generation Sequencing and a New Era for Whole Genome Sequencing.

TL;DR: One of the most popular NGS applications, whole genome sequencing (WGS), developed from the expansion of human genomics is introduced and a general overview for next-generation sequencing (NGS) is provided.
References
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Journal ArticleDOI

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TL;DR: Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors.
PatentDOI

Serial analysis of gene expression

TL;DR: Serial analysis of gene expression (SAGE) should provide a broadly applicable means for the quantitative cataloging and comparison of expressed genes in a variety of normal, developmental, and disease states.
Journal ArticleDOI

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

TL;DR: This work describes the software MAQ, software that can build assemblies by mapping shotgun short reads to a reference genome, using quality scores to derive genotype calls of the consensus sequence of a diploid genome, e.g., from a human sample.
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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