Getting Startted

Goal of the Advanced Tutorial

Be Professional

Learning Materials

1. Tutorial

   • Basic Tutorial

   • Advanced Tutorial (this one) | Additional Tutorial

2. Teaching Videos (mirror: **Youku Link)

3. Teaching PPT (view PDFs on-line only, not downloadable)

4. ****Github for students (shared code and documents）

Table of Content

I. Basic Skills

1. Setup - How to do jobs efficiently and reproducibly

2. Linux - How to work with command lines

3. Bash (and Github) - How to set up multiple jobs as a pipeline

4. R - How to make professional and beautiful plots

5. Perl/Python - How to program for bioinformatics

II. Basic Bioinfo Analyses

1. Basic: Mapping, Annotation and QC

2. Basic: Expression Matrix

3. Basic: Differential Expression Analysis

4. Advanced: Normalization

5. Advanced: Control Data

6. Advanced: Motif and Structure

III. Advanced Bioinfo Analyses

1. Machine Learning Basics - How to train and test

2. Feature Selection - How to find meaningful feature

3. Deep Learning Basics - one step to AI

Virtual Machines

All code has been tested in cnode @ Lu Lab. We would also provide a Linux docker for our advanced tutorial in the future.

Video

a) Introduce training on github

@Youtube

@Bilibili

b) More videos

@Youtube

@Bilibili