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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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Journal ArticleDOI

Next-generation sequencing techniques for eukaryotic microorganisms: sequencing-based solutions to biological problems.

TL;DR: An overview of N GS technologies that are currently available and the bioinformatics analyses that are necessary to obtain information from the flood of sequencing data as well as applications of NGS to address biological questions in eukaryotic microorganisms are provided.
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microRNAs and genetic diseases

TL;DR: An overview of the evidence available to date which support the pathogenic role of miRNAs in human genetic diseases is provided, and the results of recent studies indicating the phenotypic consequences of miRNA alterations on the function of several tissues and organs are suggested.
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Global transcriptome and gene regulation network for secondary metabolite biosynthesis of tea plant ( Camellia sinensis )

TL;DR: The data revealed the possible critical check points in the flavonoid, caffeine, and theanine biosynthesis pathways, but also implicated the key transcription factors and related mechanisms in the regulation of secondary metabolite biosynthesis.
Journal ArticleDOI

RNA-Seq analysis and de novo transcriptome assembly of Hevea brasiliensis

TL;DR: The use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain a comprehensive overview of the H. brasiliensis transcriptome is reported, providing the most comprehensive sequence resource available for the study of rubber trees as well as demonstrates effective use of Illumina sequencing and deNovo transcriptsome assembly in a species lacking genomic information.
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

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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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