053522 VU Bioinformatics for phylogeny and evolutionary tree reconstruction (2025W)
Continuous assessment of course work
Labels
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 Fr 12.09.2025 09:00 to Mo 22.09.2025 09:00
- Deregistration possible until Tu 14.10.2025 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 02.10. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 09.10. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 16.10. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 23.10. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 30.10. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 06.11. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 13.11. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 20.11. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 27.11. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- N Thursday 04.12. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 11.12. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 18.12. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 08.01. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 15.01. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 22.01. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
- Thursday 29.01. 13:00 - 15:00 STB/Seminarraum Strukturchemie Campus Vienna Biocenter 5, 1030 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
a. Type of assessment: To all lectures and the two practical units exercise sheets have to be solved and submitted (via Moodle). For each exercise sheet the same amount of points can be achieved. To pass the course one has to obtain at least 50% of the possible sum of points.
b. Permitted material: Solutions have to be written by oneself. Copy-and-paste from other sources is not allowed. References to all third-party material have to be given.
b. Permitted material: Solutions have to be written by oneself. Copy-and-paste from other sources is not allowed. References to all third-party material have to be given.
Minimum requirements and assessment criteria
a. Minimum requirements: To pass the course one has to obtain at least 50% of the possible weighted sum of points. The obtained percentage of the points determines the actual grade.
b. Assessment criteria: The following obtained percentages correspond to the following grades:
>=87.5%: grade 1 (very good)
<87.5%: grade 2 (good)
<75.0%: grade 3 (satisfactory)
<62.5%: grade 4 (sufficient)
<50.0%: grade 5 (insufficient)
b. Assessment criteria: The following obtained percentages correspond to the following grades:
>=87.5%: grade 1 (very good)
<87.5%: grade 2 (good)
<75.0%: grade 3 (satisfactory)
<62.5%: grade 4 (sufficient)
<50.0%: grade 5 (insufficient)
Examination topics
Relevant is all content of the lectures and exercises.
Reading list
Possible textbooks and additional references will be given during the lectures.
Association in the course directory
Module: BIOINF06
Last modified: Tu 21.10.2025 13:46
a. Aims: Understanding of the bioinformatics concepts and methods of phylogenetics and evolutionary tree reconstruction in theory and practice;
b. Content: The course aims at giving a broad overview covering topics like historical background; theoretical basics and definitions; different approaches like maximum parsimony, distance methods, maximum likelihood and Bayesian and associated algorithms; tree search and tree rearrangements; models of sequence evolution and model selection; summarizing trees and branch support; tree topology testing; tracing phylogenetic signal and noise; phylogenomics, supertrees and partition models; ancestral state reconstruction, phylogeography.
c. Methods: Lectures, graded exercises (submitted via Moodle) and, finally, the course includes two practical units applying phylogenetic software.