2018 - Bioinformatics Tutorial - Advanced (2018)
  • Bioinformatics Tutorial - Advanced (2018)
  • Getting Startted
  • PART I Basic 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. Basic Bioinfo Analyses
    • Introduction of PART II
    • 1.Mapping, Annotation and QC
    • 2.Expression Matrix
    • 3.Differential Expression
    • Midterm Conclusion
    • 4.Normalization
    • 5.Control Data
    • 6.Motif and Structure
  • PART III. Advanced Bioinfo Analyses
    • Introduction of PART III
    • 1.Machine Learning
    • 2.Feature Selection
    • 3.Deep Learning
  • Appendix
    • Appendix I. Keep Learning
    • Appendix II. Docker Manual
    • Appendix III. Mapping Protocol
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  • 1. Recommended Books and Tutorials
  • 2. Recommended on-line Courses
  • 3. Recommended Educational Papers
  • 4. Recommended Websites/Blogs
  • 5. Recommended Tips

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  1. Appendix

Appendix I. Keep Learning

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Last updated 5 years ago

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1. Recommended Books and Tutorials

实践：

《》

理论：

  1. ()

  2. -- 周志华

2. Recommended on-line Courses

  1. Machine Learning by Andrew Ng (CS229): ,

3. Recommended Educational Papers

  1. Nature Biotech. and PLOS Computational Biology Papers: ,

  2. by Nature

4. Recommended Websites/Blogs

  1. Learning notes for bioinformatics:

5. Recommended Tips

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Biological Sequence Analysis:Probabilistic Models of Proteins and Nucleic Acidsby Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
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