Plant-Microbe Interactions, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
Trends Plant Sci. 2013 Apr;18(4):175-9. doi: 10.1016/j.tplants.2013.02.001. Epub 2013 Mar 5.
Next-generation RNA-sequencing (RNA-Seq) is rapidly outcompeting microarrays as the technology of choice for whole-transcriptome studies. However, the bioinformatics skills required for RNA-Seq data analysis often pose a significant hurdle for many biologists. Here, we put forward the concepts and considerations that are critical for RNA-Seq data analysis and provide a generic tutorial with example data that outlines the whole pipeline from next-generation sequencing output to quantification of differential gene expression.
下一代 RNA 测序(RNA-Seq)正在迅速取代微阵列,成为全转录组研究的首选技术。然而,RNA-Seq 数据分析所需的生物信息学技能通常对许多生物学家来说是一个重大障碍。在这里,我们提出了对 RNA-Seq 数据分析至关重要的概念和注意事项,并提供了一个带有示例数据的通用教程,概述了从下一代测序输出到差异基因表达定量的整个流程。