UNIL BSc course: Bioinformatics for Genomics 2021
- 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.
- Teacher: Sven Bergmann
- 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, 14:00-15:30: Lecture 4: "Biological Networks" (Sven)
- 12 April 2021, 16:00-17:30: Tutorial 4: "Biological Networks" (Daniel)
- 13 April 2021, 8:00-12:00: "Individual 15' sessions with groups of 3 students"
- 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 module. We will distribute simple exercises based on the tutorials before the Easter break. Groups of 3 students have to send us their answers before noon on April 12, and discuss them with the tutors in 15' slots running from 14:00 to 18:00 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 the individual sessions on April 12 may be on site.
- Lecture presentations
- Exercise material
- "RNA-seq & DE": File:Exercise1.zip
- "Clustering": File:Exercise2.zip
- "Biclustering": File:Exercise3.zip
- "More seq-data": File:Exercise4.zip
- "Networks": File:Exercise5.zip
- Recordings
- available on Moodle at: https://moodle.unil.ch/course/view.php?id=19549