NGS for natural scientist

1. Preface
2. Getting started
3. Good-to-know beforehand
4. Setting up terminal
5. FASTQ and quality control
- Getting FASTQ files from online database
- FASTQ quality assessment
6. Mapping/alignment and quantification
- Salmon
- DESeq2
7. Visualization
8. Single cell RNA-Seq
9. AWS cloud and Machine Learning
(pending material)
- graphPad
- readings for ML

Powered by GitBook

On this page

3. Good-to-know beforehand

Experiment design

It is a bit not traditional in my book

Previous3. Good-to-know beforehand NextSingle-end and Paired-end

Last updated 2 years ago