- Docente: Alessio Boattini
- Credits: 6
- SSD: BIO/08
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Statistical Sciences (cod. 8875)
Also valid for Second cycle degree programme (LM) in Statistical Sciences (cod. 9222)
Course contents
1. Human genomics: basic concepts
2. Methodological overview
3. Useful shell commands
4. Plink software: format and data manipulation
7. Eigenstrat: Principal Component Analysis applied to genomic data
8. DAPC: Discriminant Analysis of Principal Components applied to genomic data
5. Admixture software: searching for admixture events
6. Threepop software: testing for admixture events
9. Alder: dating admixture events
10. Replication of selected studies from literature
Readings/Bibliography
Jobling M, Hollox E, Kivisild T & Tyler-Smith C. 2013. Human evolutionary genetics (2nd ed.), Garland Science.
Teaching methods
The course is characterized by a marked practical approach. Explanations of the theoretical aspects will be limited to the minimum necessary. On the contrary, students are encouraged to perform 'live' analyses on 'real' datasets and to interpret the obtained results in light of the most recent advances in molecular anthropology/human population genetics.
Assessment methods
The final examination will consist of a practical part, i.e. analysis of human genomic data with the aim to understand/interpret some aspects of the genetic/genomic history of the considered populations/individuals, and of an oral part in which the obtained results will be thoroughly discussed and evaluated.
Teaching tools
All lessons will be held in a computer laboratory equipped with Linux machines. Slides/tutorials will be supplied to the students during the course.
Office hours
See the website of Alessio Boattini