Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville, Australia.
Genome Biol. 2010;11(3):R25. doi: 10.1186/gb-2010-11-3-r25. Epub 2010 Mar 2.
The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA. In order to discover biologically important changes in expression, we show that normalization continues to be an essential step in the analysis. We outline a simple and effective method for performing normalization and show dramatically improved results for inferring differential expression in simulated and publicly available data sets.
基于测序的转录组调查提供的详细信息表明，RNA-seq 可能成为研究稳态 RNA 的首选平台。为了发现表达中具有生物学重要意义的变化，我们表明标准化仍然是分析中的一个重要步骤。我们概述了一种简单有效的标准化方法，并在模拟和公开可用的数据集上展示了显著改进的推断差异表达的结果。
