Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
550002 VO+SE Molecular Population Genetics: making sense of sequence data (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 08.02.2024 08:00 bis Do 22.02.2024 18:00
- Abmeldung bis Fr 15.03.2024 18:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
- Joachim Hermisson
- Neda Barghi
- Nicholas Barton
- Robert Kofler
- Magnus Nordborg
- Ovidiu Paun
- Himani Sachdeva
Termine
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
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
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).
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
Topics of assignments, see above.
Literatur
Literature and reading assignments will be given during the course.
Zuordnung im Vorlesungsverzeichnis
PhD, MES5, MBIV
Letzte Änderung: Mi 31.07.2024 12:06