Universität Wien

053522 VU Bioinformatics for phylogeny and evolutionary tree reconstruction (2020W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

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. 25 participants
Language: English

Lecturers

Classes

THU weekly from 08.10.2020 to 28.01.2021 10.00-12.00
Location: Seminar room 1/2, MFPL, 6.floor, Dr. Bohr-Gasse 6, 1030 Vienna
IMPORTANT: The first session starts will with the preliminary meeting (Vorbesprechung). To get a place assigned for this course attendance essential.

Information

Aims, contents and method of the course

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.
c. Methods: Lectures, graded exercises (submitted via Moodle), finally, the course includes two practical units applying phylogenetic software.

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 oneself. Copy-and-paste from other sources is not allowed. References 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)

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: Th 24.09.2020 16:28