550002 VO+SE Molecular Population Genetics: making sense of sequence data (2024S)
Continuous assessment of course work
Labels
ON-SITE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 08.02.2024 08:00 to Th 22.02.2024 18:00
- Deregistration possible until Fr 15.03.2024 18:00
Details
max. 20 participants
Language: English
Lecturers
- Joachim Hermisson
- Neda Barghi
- Nicholas Barton
- Robert Kofler
- Magnus Nordborg
- Ovidiu Paun
- Himani Sachdeva
Classes
Jeden Montag im Semester 9:00 bis 11:30, Seminarraum Biomathematik 09.143, 9. Stock Mathematik, OMP 1.
Beginn 04.03.2024, 9:00 Uhr, SR Biomathematik 09.143, 9ter Stock, OMP1
Information
Aims, contents and method of the course
Advanced course in population genetics to introduce modern research topics. The course consists of five modules on i) background selection and hitchhiking ii) complex traits iii) association mapping iv) polygenic adaptation v) selfish elements vi) comparative genomics. Each module is taught by a different lecturer from various institutions in Vienna, providing students with an overview of active research topics. Modules are structured in an intro lecture and two seminar units. Seminars are based on key research papers, computational tools and/or biological data to provide a first-hand insight into current research themes.
Assessment and permitted materials
The grade is based on 6 assignments (one per module), eg an essay on a research paper or research topic (~ 5-7 pages including references and figures).
Minimum requirements and assessment criteria
The modules require basic knowledge of population genetics, on the level of an introductory course in population genetics. Interested students who have never attended a population genetics course should contact H. Sachdeva in advance to discuss whether attending the advanced course makes sense. All six assignments need to be completed and contribute with equal weight to the final grade. A "fail" grade in at most one assignment is admitted to pass the course.
Examination topics
Topics of assignments, see above.
Reading list
Literature and reading assignments will be given during the course.
Association in the course directory
PhD, MES5, MBIV
Last modified: Th 25.01.2024 00:03