> For the complete documentation index, see [llms.txt](https://ycl6.gitbook.io/rna-seq-data-analysis/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ycl6.gitbook.io/rna-seq-data-analysis/master.md).
# Introduction
## Hands-on Training in RNA-Seq Data Analysis
#### **I-Hsuan Lin**
National Yang-Ming University, Taipei, Taiwan
*The materials were prepared for the **Next-Generation Sequencing Workshop** organized by the Life Science Library Training Courses on 19th Nov 2015 at Academia Sinica.*
As the title suggests, RNA-Seq (RNA sequencing) utilizes the next-generation technology to assay the presence and quantity of RNA molecules in the given sample. RNA-Seq offers many advantages and supersede the microarray technology that was introduced in 2000s. This includes detects known and novel transcripts, increased specificity and sensitivity, and identification of low-abundance transcripts and isoforms with sufficient sequencing depth. RNA-seq has also been used to discover alternative splicing variants, chimeric RNAs result from fusion genes and RNA editing sites.
## History
Update (May 2020) New step-by-step guide available [here](https://ycl6.gitbook.io/guide-to-rna-seq-analysis/)
Update: (Apr 2020) Migrate to the new Gitbook site, broken links/images fixed
Update: (Oct-Nov 2016) Mapping and analysis of the example datasets were re-ran with latest versions of the tools
## License
Unless specified, this content is licensed under the Creative Commons — Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). You may view a copy of this license at