Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 175-179 |
| Number of pages | 5 |
| Journal | Trends in Plant Science |
| Volume | 18 |
| DOIs | |
| Publication status | Published - 2013 |