UNIL BSc course: Bioinformatics for Genomics 2021

Revision as of 12:25, 18 March 2021 by Sven (talk | contribs)
  • 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
    • 29 March 2021, 08:00-9:15: Lecture 1: "RNA-seq & DE" (Sven)
    • 29 March 2021, 09:30-10:30: Tutorial 1: "RNA-seq & DE" (Anneke)
    • 29 March 2021, 10:45-12:00: Lecture 2: "Clustering" (Sven)
    • 30 March 2021, 08:00-9:00: Tutorial 2: "Clustering" (Alex)
    • 30 March 2021, 09:15-10:45: Lecture 3: "More seq-data" (Sven)
    • 30 March 2021, 11:00-12:00: Tutorial 3: "More seq-data" (Daniel)
    • 12 April 2021, 14:00-18:00: "Individual 15' sessions with groups of 3 students"
    • 13 April 2021, 09:00-10:30: Lecture 4: "Biological Networks" (Sven)
    • 13 April 2021, 11:00-12:00: Tutorial 4: "Biological Networks" (Daniel)
    • 14 April 2021, 09:00-10:30: Lecture 5: "Advanced clustering" (Sven)
    • 14 April 2021, 11:00-12:00: Final Session: "Wrap-up & feedback" (all)

On 29/30 March we present the core material of this course. We will distribute simple exercises based on the tutorials. Groups of 3 students have to send their answers to us before noon on April 12 and discuss them with the tutors in 15' slots running from 14:00 to 16:00 on that day. Additional feedback on these exercises will be given in the Final Session on April 14 starting at 11:00.

This semester all lectures and tutorial will be given online. If the situation allows we may do the individual sessions on site.

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