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Cloud-scale RNA-sequencing differential expression analysis with Myrna

Ben Langmead, Kasper D Hansen and Jeffrey T Leek*

Author Affiliations

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA

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Genome Biology 2010, 11:R83  doi:10.1186/gb-2010-11-8-r83

Published: 11 August 2010

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 webcite.