title: Cloud-scale RNA-sequencing differential expression analysis with Myrna.
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.
authors.affiliation: Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA. blangmea@jhsph.edu
authors.forename: Ben
authors.initials: B
authors.lastname: Langmead
authors.forename: Kasper D
authors.initials: KD
authors.lastname: Hansen
authors.forename: Jeffrey T
authors.initials: JT
authors.lastname: Leek
mesh_terms: D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D020407:Internet; D017423:Sequence Analysis, RNA / Q000379:methods*; D012984:Software