Skip to main content
English title:
Modern bioinformatics
Course ID:
790389
ECTS credits:
2,0
Title in native language:
Modern bioinformatics (in Eng.)
Term Semester:
Autumn/Winter
Instruction language(s):
English
Course content:
Following the fantastic success in its first years, we are delighted to again present a ring lecture and seminar introducing students to Modern Bioinformatics.

Bioinformatics is a particularly heterogeneous discipline. Rather than lecturers only presenting basic material in talks, the focus in this course is on showcasing exciting areas of research, modern methods, and current challenges in the field. An aim is to share our excitement with students by providing insight into some of the most interesting and seminal research challenges of the field. This course also offers an invaluable opportunity for meeting several of the key Bioinformatics group leaders in Vienna, and to learn about institutes offering research opportunities towards an M.Sc. thesis and beyond in Bioinformatics.

Guest lecturers will introduce the areas of their respective research interests.
Each lecture will conclude with a recommendation of one or two scientific papers.

By the end of the taught courses around mid of December, students propose two of the papers on the course list for self-study, one of which they will be assigned. They will then discuss the respective research topic in a 15-20 minute critical presentation in the January seminars. Note that we are looking for critical engagement and discussion, and that a base summary is not sufficient.


Ring lecture contributions 2020/2021:

07 Oct 17:00 - David Kreil, Boku, quantitative and functional genomics
14 Oct 17:00 - Chris Oostenbrink, Boku, molecular dynamics
21 Oct 17:00 - Peter Sykacek, Boku, probabilistic modelling and inference
28 Oct 17:00 - Christoph Flamm, Univ. Vienna, metabolic network analysis
04 Nov 17:00 - RESCHEDULED!
11 Nov 17:00 - Heiko Schmidt, Univ. Vienna, phylogenetics and evolution
18 Nov 17:00 - Thomas Rattai, Univ. Vienna, metagenomics and microbial genomes

Coming back next year: Friedrich Leisch, Boku, clustering and mixtures

Seminar 13-14 Jan 17-19h (both!)


Lectures 2019/2020:

09 Oct 17:15 - David Kreil, Boku, quantitative and functional genomics
16 Oct 17:15 - Peter Sykacek, Boku, probabilistic modelling and inference
23 Oct 17:15 - Chris Oostenbrink, Boku, molecular dynamics
30 Oct - 06 Nov (BREAK)
13 Nov 17:15 - Heiko Schmidt, Univ. Vienna, phylogenetics and evolution
20 Nov 17:15 - Thomas Rattei, Univ. Vienna, metagenomics and microbial genomes
27 Nov - 04 Dec (BREAK)
11 Dec 17:15 - Christoph Flamm, Univ. Vienna, metabolic network analysis

Lectures 2018/2019:

17 Oct - Peter Sykacek, Boku, probabilistic modelling and inference
31 Oct - David Kreil, Boku, quantitative and functional genomics
07 Nov - Heiko Schmidt, Univ. Vienna, phylogenetics and evolution
14 Nov - Thomas Rattai, Univ. Vienna, metagenomics and microbial genomes
21 Nov - Chris Oostenbrink, Boku, molecular dynamics
28 Nov - Friedrich Leisch, Boku, clustering and mixtures
12 Dec - Christoph Flamm, Univ. Vienna, metabolic network analysis


Lectures 2017/2018:

11 Oct - David Kreil, Boku, quantitative and functional genomics
18 Oct - Peter Sykacek, Boku, probabilistic modelling and inference
25 Oct - Chris Oostenbrink, Boku, molecular dynamics
15 Nov - Heiko Schmidt, Univ. Vienna, phylogenetics and evolution
22 Nov - Friedrich Leisch, Boku, clustering and mixtures
29 Nov - Christoph Flamm, Univ. Vienna, metabolic network analysis
06 Dec - Thomas Rattai, Univ. Vienna, metagenomics and microbial genomes

(The first ring lectures started 2013/2014.)

.
Expected previous knowledge:
The course language is English, and you will also be asked to read a scientific paper, present and discuss it during a seminar in English.
Learning outcomes:
Students can outline the current challenges and modern methods in Bioinformatics research. They will have deeper exposure to one area they chose freely from a set of recommended research papers.
Teaching and learning methods:
lectures, self-study of a scientific paper, seminar
Exam method:
Your attendance and questions during and after the lectures, as well as your presentation and participation in the seminar will count towards your assessment.

Organisation: University of Natural Resources and Life Sciences Vienna

Country:
Austria
Acronym:
BOKU
ERASMUS+ code:
A WIEN03
Teaching period summer semester:
22. Feb 2021 - 30. Sep 2021
Teaching period winter semester:
13. Oct 2020 - 21. Feb 2021