Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud

被引:56
|
作者
Griffith, Malachi [1 ,2 ,3 ]
Walker, Jason R. [1 ]
Spies, Nicholas C. [1 ]
Ainscough, Benjamin J. [1 ,2 ]
Griffith, Obi L. [1 ,2 ,3 ,4 ]
机构
[1] Washington Univ, Sch Med, McDonnell Genome Inst, St Louis, MO 63130 USA
[2] Washington Univ, Sch Med, Siteman Canc Ctr, St Louis, MO USA
[3] Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
[4] Washington Univ, Sch Med, Dept Med, St Louis, MO 63110 USA
关键词
GENE-EXPRESSION ANALYSIS; DIFFERENTIAL EXPRESSION; SEQ DATA; BIOCONDUCTOR PACKAGE; CHIMERIC TRANSCRIPT; SCALE; IDENTIFICATION; VISUALIZATION; QUANTIFICATION; TECHNOLOGY;
D O I
10.1371/journal.pcbi.1004393
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.
引用
收藏
页数:20
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