Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

550004 VU Functional Genomics for PhD students (2025S)

State-of-the-art computational techniques in the field of computational genomics applied to ecology and evolution

10.00 ECTS (6.00 SWS), SPL 55 - Doktoratsstudium Biologie mit Schwerpunkt Ökologie und Evolution
Prüfungsimmanente Lehrveranstaltung
Mo 24.03. 09:45-14:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 12 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The preliminary meeting will be held on the 11th of March from 14:00 to 16:00 (SR 3.1). Attendance to the preliminary meeting is mandatory.

  • Montag 24.03. 15:00 - 17:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Dienstag 25.03. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Dienstag 25.03. 11:30 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Mittwoch 26.03. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Mittwoch 26.03. 13:15 - 17:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 27.03. 09:45 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Freitag 28.03. 09:45 - 17:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Montag 31.03. 09:45 - 14:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Montag 31.03. 15:00 - 17:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Dienstag 01.04. 09:45 - 17:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Mittwoch 02.04. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Mittwoch 02.04. 13:15 - 17:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 03.04. 09:45 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Freitag 04.04. 11:30 - 18:15 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This practical course is designed to provide a comprehensive understanding of the fundamental concepts and methodologies in bioinformatics, particularly relevant for PhD students. It covers key techniques currently used for tasks such as similarity searches, functional annotations, phylogenetic analysis, network analysis, and comparative genomics. The course is structured into two parts: the first week features introductory lectures and hands-on exercises, while the second week offers students the opportunity to apply their knowledge by working on a small bioinformatics project. The course will include an introduction to biological databases and the Linux command line, making it suitable for beginners.
This course partially overlaps with VU Genome analysis for Ecologists (VU 300108)

Art der Leistungskontrolle und erlaubte Hilfsmittel

This course follows a continuous evaluation approach, where exercises, the project, and the final report will be assessed. Attendance in all classes is mandatory.

Mindestanforderungen und Beurteilungsmaßstab

The final grade will be determined based on a combination of class exercises, including both individual and team projects, as well as the written protocol. Submitting the protocol is mandatory; failure to do so will result in failing the course.

Evaluation scale:

Below 50%: Grade 5
50% to less than 62.5%: Grade 4
62.5% to less than 75%: Grade 3
75% to less than 87.5%: Grade 2
87.5% or above: Grade 1

Prüfungsstoff

Upon completing this course, students should have a comprehensive understanding of the fundamental concepts and methodologies in bioinformatics. They should be able to perform key bioinformatics tasks such as similarity searches, functional annotation, phylogenetic analysis, network analysis, and comparative genomics. In addition, students should also be able to interpret the results of their analyses, understanding their biological significance and recognising the limitations of the methods used.

Literatur

will be given in moodle

Zuordnung im Vorlesungsverzeichnis

PhD

Letzte Änderung: Do 23.01.2025 16:46