Published in

BioMed Central, Genome Biology, 8(11), p. R83

DOI: 10.1186/gb-2010-11-8-r83

Links

Tools

Export citation

Search in Google Scholar

Cloud-scale RNA-sequencing differential expression analysis with Myrna

Journal article published in 2010 by Ben Langmead, Kasper D. Hansen ORCID, Jeffrey T. Leek
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

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 .