S. cerevisiae WT vs snf2 KO mutant RNA-seq data with 7 technical and 48 biological replicates (336 total) of each condition

High-throughput RNA sequencing (RNA-seq) is now the standard method to determine differential gene expression. Here, a 48 replicate, two condition RNA-seq experiment was designed specifically to test assumptions about RNA-seq read count variability models and the performance of methods for differential gene expression analysis by RNA-seq. Samples were run on an Illumina HiSeq for 50 cycles single-end and included ERCC RNA spike-ins. The high-replicate data allowed for strict quality control and screening of 'bad' replicates. The experiment allowed the effect of bad replicates to be assessed as well as providing guidelines for the number of replicates required for differential gene expression analysis and the most appropriate statistical tools. The mapping between technical replicates and biological replicates is provided via FigShare http://dx.doi.org/10.6084/m9.figshare.1416210

高通量RNA测序（RNA-seq）目前已成为检测基因差异表达的标准方法。本研究设计了一项包含48次重复、两种实验条件的RNA-seq实验，专门用于验证RNA-seq读段计数变异模型的相关假设，并评估RNA-seq差异基因表达分析方法的性能。所有样本均在Illumina HiSeq测序平台上以50个循环的单端测序模式完成测序，且加入了ERCC RNA spike-ins（外参对照）。该实验的高重复样本量支持开展严格的质量控制，并可筛选出“不合格”的重复样本。本实验不仅可评估不合格重复样本对分析结果的影响，还可为差异基因表达分析所需的重复样本数量以及最优统计工具的选择提供参考依据。技术重复与生物学重复的对应关系可通过FigShare平台（http://dx.doi.org/10.6084/m9.figshare.1416210）获取。