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
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Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types.
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WheatExp: an RNA-seq expression database for polyploid wheat
Stephen Pearce,Hans Vazquez-Gross,Sayer Y. Herin,David L. Hane,Yi Wang,Yong Q. Gu,Jorge Dubcovsky,Jorge Dubcovsky +7 more
TL;DR: The development of a publicly accessible expression database hosted on the GrainGenes website coupled with a simple and readily-comparable visualization tool will empower the wheat research community to use RNA-seq data and to perform functional analyses of target genes.
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TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository.
Yingdong Zhao,Ming-Chung Li,Mariam M. Konaté,Li Chen,Biswajit Das,Chris Karlovich,P. Mickey Williams,Yvonne A. Evrard,James H. Doroshow,Lisa M. McShane +9 more
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