Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA.
Genome Biol. 2010;11(8):R83. doi: 10.1186/gb-2010-11-8-r83. Epub 2010 Aug 11.
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.
随着测序通量每天接近几十千兆碱基，人们对转录组测序 (RNA-Seq) 数据的分析软件的需求也在不断增长。Myrna 是一种云计算管道，用于计算大型 RNA-Seq 数据集的差异基因表达。我们将 Myrna 应用于公开可用数据集的分析，并评估标准统计模型的拟合优度。Myrna 可从 http://bowtie-bio.sf.net/myrna 获取。
