UNIL BSc course: Bioinformatics for Genomics 2023

Revision as of 19:45, 21 March 2023 by Sven (talk | contribs)

This course is for third year B.Sc. students and part of the "Genes and Genome evolution" (GGE) module.

  • Course aims:
    • Get to know some key bioinformatics methods necessary for genomic analysis
    • Apply these methods within a few selected cases, focusing on data-visualisation typically trying to reproduce selected figures that where discussed in other GGE courses
    • 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
    • 29 March 2023: "Measuring and visualising genome-wide gene expression"
      • 8:15-10:00 Lecture (Sven)
      • 10:15-12:00 Tutorial (Lead: Olga, Support: Michael, Sven)
    • 5 April 2023: "Advanced analysis of genome-wide gene expression"
      • 8:15-10:00 Lecture (Sven)
      • 10:15-12:00 Tutorial (Lead: Michael, Support: Olga, Sven)
    • 19 April 2023: "Measuring and visualising genome-wide epigenetic profiles"
      • 8:15-10:00 Lecture (Sven)
      • 10:15-12:00 Tutorial (Lead: Anneke, Support: Daniel, Sven)
    • 26 April 2023: "Measuring and visualising genome-wide chromatin contacts"
      • 8:15-10:00 Lecture (Sven)
      • 10:15-12:00 Tutorial (Lead: Daniel, Support: Sofia, Sven)
    • 27 April 2023: "Defining and visualising gene networks"
      • 14:15-16:00 Lecture (Sven)
      • 16:15-18:00 Tutorial (Lead: Sofia, Support: Anneke, Sven)

We will hand out simple bioinformatics exercises based on the tutorials. Students should work on these exercise until April 14 on which day we will do a 4h "Flipped classroom" where they can discuss these exercise with tutors.

  • Lecture presentations:
    • TBA
  • Exercise material:
    • TBA