Cloud-scale RNA-sequencing differential expression analysis with Myrna

被引：184

作者：

Langmead, Ben ^{[1
]}

Hansen, Kasper D. ^{[1
]}

Leek, Jeffrey T. ^{[1
]}

机构：

[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA

来源：

GENOME BIOLOGY | 2010年 / 11卷 / 08期

关键词：

SEQ; TRANSCRIPTOMES; REVEALS;

D O I：

10.1186/gb-2010-11-8-r83

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

As sequencing throughput approaches dozens of gigabases per day, there is a growing need for efficient software for analysis of transcriptome sequencing (RNA-Seq) data. Myrna is a cloud-computing pipeline for calculating differential gene expression in large RNA-Seq datasets. We apply Myrna to the analysis of publicly available data sets and assess the goodness of fit of standard statistical models. Myrna is available from http://bowtie-bio.sf.net/myrna.

引用

页数：11

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