Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

300246 VU Analysis of biological data with Python for non-bioinformaticians (2022S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
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. 16 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 25.04. 09:45 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 26.04. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 26.04. 13:15 - 15:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
  • Wednesday 27.04. 09:45 - 11:15 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 27.04. 13:15 - 15:45 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Thursday 28.04. 09:45 - 11:15 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
  • Thursday 28.04. 11:30 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 29.04. 09:45 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Monday 02.05. 09:45 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 03.05. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 03.05. 13:15 - 15:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
  • Wednesday 04.05. 09:45 - 15:45 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Thursday 05.05. 09:45 - 11:15 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Thursday 05.05. 11:30 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 06.05. 09:45 - 15:45 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

Information

Aims, contents and method of the course

The course will give students with no or little experience in programming a foundation how to use Python for the analysis of biological data. The goal is to familiarize students with state-of-the-art approaches for data analysis and therefore enabling everyone to computationally investigate biological data himself

In the first week there will be a basic but intensive introduction into the usage of Python in bioinformatics and working in an UNIX environment. This will include an introduction into programming and small exercises with a biological background.
In the second week we will apply these skills to current topics of biological data analysis, e.g. sequence alignment, gene detection, and high throughput data analysis.

Ideally the course will be held in presence and no personal laptops are required (but can be brought to class).
If the course has to take place online, students must have a personal computer and further details will be announced.

Assessment and permitted materials

Participation in the course, a multiple choice exam and a final report.

Minimum requirements and assessment criteria

Presence on at least 7 days of the course are required. The grade will be based on course participation (30%), a multiple choice exam at the beginning of the second week (20%) and a final report (50%).

Prior knowledge about using an UNIX environment and basic programming skills in any language will be helpful but are not required.

Examination topics

Participation - Presence and active participation in the course
Multiple choice exam - Basic usage of Python in bioinformatics
Final report - in the form of a short research note containing an introduction, methods, results and discussion

Reading list

To be announced

Association in the course directory

MES5, MZO W3, MZO4, MZO W-5, M-WZB

Last modified: Mo 23.01.2023 14:09