Computational methods for transcriptome annotation and quantification using RNA-seq

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 chal...

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Bibliographic Details
Published in:	Nature methods Vol. 8; no. 6; pp. 469 - 477
Main Authors:	Garber, Manuel, Grabherr, Manfred G, Guttman, Mitchell, Trapnell, Cole
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.06.2011 Nature Publishing Group
Subjects:	631/114/2184 631/1647/514/1949 631/208/212/2019 Animals Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Cellular biology Computational Biology - methods DNA sequencing Gene Expression Profiling - statistics & numerical data Genomics Genomics - statistics & numerical data High-Throughput Nucleotide Sequencing - statistics & numerical data Humans Life Sciences Nucleotide sequencing Physiological aspects Proteomics review-article Ribonucleic acid RNA Sequence Alignment - statistics & numerical data Sequence Analysis, RNA - statistics & numerical data United States
ISSN:	1548-7091, 1548-7105, 1548-7105
Online Access:	Get full text
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