RNA-Seq: a revolutionary tool for transcriptomics
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.read more
Citations
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Reuse of public genome-wide gene expression data
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TL;DR: The utility of the gene expression data that are in the public domain and how researchers are making use of these data are discussed and recommendations are provided that can improve the utility of such data.
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Digital RNA Sequencing Minimizes Sequence-Dependent Bias and Amplification Noise with Optimized Single-Molecule Barcodes
TL;DR: This method allows counting with single-copy resolution despite sequence-dependent bias and PCR-amplification noise, and is analogous to digital PCR but amendable to quantifying a whole transcriptome.
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Recurrent SETBP1 mutations in atypical chronic myeloid leukemia
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TL;DR: Atypical chronic myeloid leukemia (aCML) shares clinical and laboratory features with CML, but it lacks the BCR-ABL1 fusion as mentioned in this paper.
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Cloud-scale RNA-sequencing differential expression analysis with Myrna
TL;DR: Myrna is a cloud-computing pipeline for calculating differential gene expression in large RNA-Seq datasets and its application to the analysis of publicly available data sets and the goodness of fit of standard statistical models is assessed.
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RNA-Seq: A Method for Comprehensive Transcriptome Analysis
TL;DR: This unit describes protocols for performing RNA‐Seq using the Illumina sequencing platform, and has been used successfully to precisely quantify transcript levels, confirm or revise previously annotated 5′ and 3′ ends of genes, and map exon/intron boundaries.
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