Universität Wien
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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
Continuous assessment of course work
Mo 24.03. 09:45-14:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

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).

Details

max. 12 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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.

  • Monday 24.03. 15:00 - 17:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 25.03. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 25.03. 11:30 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 26.03. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 26.03. 13:15 - 17:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Thursday 27.03. 09:45 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 28.03. 09:45 - 17:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Monday 31.03. 09:45 - 14:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Monday 31.03. 15:00 - 17:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 01.04. 09:45 - 17:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Wednesday 02.04. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 02.04. 13:15 - 17:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Thursday 03.04. 09:45 - 17:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 04.04. 11:30 - 18:15 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

Information

Aims, contents and method of the course

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)

Assessment and permitted materials

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

Minimum requirements and assessment criteria

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

Examination topics

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.

Reading list

will be given in moodle

Association in the course directory

PhD

Last modified: Th 23.01.2025 16:46