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  • Drylab Training
    • Genomics
      • RNA Types in Genome
  • Wetlab Training
    • Wetlab Safety Guide
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  • Archive
    • Archive 2021
      • cfDNA Methylation
      • Genomic Annotation
    • Archive 2019 - Wetlab Training
      • Class I. Basics
        • 1. Wet Lab Safety
        • 2. Wet Lab Regulation
        • 3. Wet Lab Protocols
        • 4. How to design sample cohort
        • 5. How to collect and manage samples
        • 6. How to purify RNA from blood
        • 7. How to check the quantity and quality of RNA
        • 8. RNA storage
        • 9. How to remove DNA contanimation
        • 10. What is Spike-in
      • Class II. NGS - I
        • 1. How to do RNA-seq
        • 2. How to check the quantity and quality of RNA-seq library
        • 3. What is SMART-seq2 and Multiplex
    • Archive 2019 - Drylab Training
      • Getting Startted
      • Part I. Programming Skills
        • Introduction of PART I
        • 1.Setup
        • 2.Linux
        • 3.Bash and Github
        • 4.R
        • 5.Python
        • 6.Perl
        • Conclusion of PART I
      • Part II. Machine Learning Skills
        • 1.Machine Learning
        • 2.Feature Selection
        • 3.Machine Learning Practice
        • 4.Deep Learning
      • Part III. Case studies
        • Case Study 1. exRNA-seq
          • 1.1 Mapping, Annotation and QC
          • 1.2 Expression Matrix
          • 1.3.Differential Expression
          • 1.4 Normalization Issues
        • Case Study 2. exSEEK
          • 2.1 Plot Utilities
          • 2.2 Matrix Processing
          • 2.3 Feature Selection
        • Case Study 3. DeepSHAPE
          • 3.1 Background
          • 3.2 Resources
          • 3.3 Literature
      • Part IV. Appendix
        • Appendix I. Keep Learning
        • Appendix II. Public Data
        • Appendix III. Mapping Protocol of RNA-seq
        • Appendix IV. Useful tools for bioinformatics
      • Part V. Software
        • I. Docker Manual
        • II. Local Gitbook Builder
        • III. Teaching Materials
  • Archive 2018
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  1. Archive
  2. Archive 2019 - Drylab Training
  3. Part V. Software

III. Teaching Materials

Teaching Videos

Content
Youtube
Bilibili

PART I Programming Skills

1. Setup

2. Linux

3. Bash and Github

4a. R Basics

4b. R Advanced (by Yang Eric Li)

5.Python

6.perl

PART II. Machine Learning Skills

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1.Machine Learning Basics

2.Feature Selection

PART III. Case Study 1. exRNA-seq

1.1a) Mapping

1.1b) Run your job example in bash

1.2. Expression matrix

1.3. Differential expression

1.4a. Normalization 1

1.4b. Normalization 2

Last updated 3 years ago

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