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Genome Biol. 2010;11(8):R83. doi: 10.1186/gb-2010-11-8-r83. Epub 2010 Aug 11.

Cloud-scale RNA-sequencing differential expression analysis with Myrna.

Author information

1
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA. blangmea@jhsph.edu

Abstract

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.

PMID:
20701754
PMCID:
PMC2945785
DOI:
10.1186/gb-2010-11-8-r83
[Indexed for MEDLINE]
Free PMC Article
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