Difference between revisions of "UNIL BSc course: Bioinformatics for Genomics 2020"
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* Lecture presentations
 
* Lecture presentations
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** "RNA-seq & DE": [[File:lecture1.pptx]]
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** "RNA-seq & DE": [[File:Lecture1.pptx]]
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** "Clustering": [[File:lecture2.pptx]]
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** "Clustering": [[File:Lecture2.pptx]]
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** "Biclustering": [[File:lecture3.pptx]]
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** "Biclustering": [[File:Lecture3.pptx]]
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** "More data": [[File:lecture4.pptx]]
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** "More data": [[File:Lecture4.pptx]]
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** "Networks": [[File:lecture5.pptx]]
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** "Networks": [[File:Lecture5.pptx]]
  
 
* Exercise material
 
* Exercise material

Revision as of 10:35, 19 March 2020

  • Course aims:
    • Get to know some of the the bioinformatics methods necessary for genomic analysis
    • Use these methods on simple real cases
    • Develop an understanding of potential pitfalls and the impact of bioinformatics choices in genomic results
  • Prerequisites:
    • Notions of genomics (gene, genome, transcriptome)
    • Basic statistics (what is a test, a p-value)
    • Basic literacy in R and/or Python.
  • Schedule
    • 23 March 2020, 08:00-12:00: Session 1: "RNA-seq & DE"
    • 24 March 2020, 08:00-12:00: Session 2: "Clustering"
    • 30 March 2020, 08:00-12:00: Session 3: "Biclustering"
    • 31 March 2020, 08:00-12:00: Session 4: "More data"
    • 1 April 2020, 08:00-12:00: Session 5: "Networks"

Each slot of 4h will start with a lecture of ~2h, followed by an exercise session. This semester all lectures and exercises will be given online. Live sessions at the above times will be given via Zoom.

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