RNA-Seq: Computational methods for transcriptome annotation and quantification using

Newsbot! · 05-31-2011, 03:40 AM

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Computational methods for transcriptome annotation and quantification using RNA-seq.

Nat Methods. 2011 Jun;8(6):469-77

Authors: Garber M, Grabherr MG, Guttman M, Trapnell C

High-throughput RNA sequencing (RNA-seq) promises a comprehensive picture of the transcriptome, allowing for the complete annotation and quantification of all genes and their isoforms across samples. Realizing this promise requires increasingly complex computational methods. These computational challenges fall into three main categories: (i) read mapping, (ii) transcriptome reconstruction and (iii) expression quantification. Here we explain the major conceptual and practical challenges, and the general classes of solutions for each category. Finally, we highlight the interdependence between these categories and discuss the benefits for different biological applications.

PMID: 21623353 [PubMed - in process]

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05-31-2011, 03:40 AM	#1
Newsbot! RSS Posting Maniac Join Date: Feb 2008 Posts: 1,443	RNA-Seq: Computational methods for transcriptome annotation and quantification using Syndicated from PubMed RSS Feeds Computational methods for transcriptome annotation and quantification using RNA-seq. Nat Methods. 2011 Jun;8(6):469-77 Authors: Garber M, Grabherr MG, Guttman M, Trapnell C High-throughput RNA sequencing (RNA-seq) promises a comprehensive picture of the transcriptome, allowing for the complete annotation and quantification of all genes and their isoforms across samples. Realizing this promise requires increasingly complex computational methods. These computational challenges fall into three main categories: (i) read mapping, (ii) transcriptome reconstruction and (iii) expression quantification. Here we explain the major conceptual and practical challenges, and the general classes of solutions for each category. Finally, we highlight the interdependence between these categories and discuss the benefits for different biological applications. PMID: 21623353 [PubMed - in process] More...