# Introduction

## Hands-on Training in RNA-Seq Data Analysis

#### **I-Hsuan Lin**

National Yang-Ming University, Taipei, Taiwan

<img src="https://2175465529-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M44VuvT-GOxd2-xMygM%2F-M4TRTdMPoybmSJY58oA%2F-M4TVlRYIzZ6Iq5OEEIy%2Fnymu.png?alt=media&#x26;token=9f76bc84-fdda-4f28-973f-14c1f826c8f4" alt="National Yang-Ming University" data-size="original">![National Research Program for Biopharmaceuticals](https://2175465529-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M44VuvT-GOxd2-xMygM%2F-M4TRTdMPoybmSJY58oA%2F-M4TVmhEBd8ykv7rHej8%2Fnrpb.png?alt=media\&token=fee0704f-a024-4284-85a7-af5bab3ad9df)

*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 <https://creativecommons.org/licenses/by-nc-sa/4.0/>

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