Universität Wien
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300164 UE Advanced bioinformatic analysis of single-cell data (2023S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
ON-SITE
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. 8 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The preliminary discussion about the course (Vorbesprechung) will take place on March 6th, 2023, 12:00-13:30 in SR 4.1.

Mon, 5 Jun 2023 08:00–14:00
Tue, 6 Jun 2023 08:00–14:00
Wed, 7 Jun 2023 09:45–13:00
Fri, 9 Jun 2023 09:45–14:00
Mon, 12 Jun 2023 08:00–14:00
Tue, 13 Jun 2023 08:00–14:00
Wed, 14 Jun 2023 09:45–14:00
Thu, 15 Jun 2023 08:00–14:00
Fri, 16 Jun 2023 09:45–14:00
Mon, 19 Jun 2023 08:00–14:00
Wed, 21 Jun 2023 09:45–13:00
Thu, 22 Jun 2023 09:45–14:00
Mon, 26 Jun 2023 08:00–14:00

  • Monday 06.03. 12:00 - 13:30 Seminarraum 4.1, Biologie Djerassiplatz 1, 4.125, Ebene 4 (Kickoff Class)
  • Monday 05.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 06.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 07.06. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 09.06. 09:45 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Monday 12.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Tuesday 13.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 14.06. 09:45 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Thursday 15.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Friday 16.06. 09:45 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Monday 19.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Wednesday 21.06. 09:45 - 13:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Thursday 22.06. 09:45 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Monday 26.06. 08:00 - 14:00 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

Information

Aims, contents and method of the course

Single-cell RNA-sequencing has significantly advanced our understanding of biological systems. It has highlighted unexpected transcriptional heterogeneity in cell populations that were thought to be uniform, discovered hitherto unknown rare cell types, and allowed us to predict cell fates in differentiation. Extracting biological meaning from the sequencing data requires involved in-silico analysis.

This course will use publicly available datasets to attack advanced topics in single-cell RNA-seq analysis, such as actionable clustering, dataset integration, cross-species comparison, and advanced visualisation.

Assessment and permitted materials

Doesn’t require any previous knowledge in programming or single-cell transcriptomics analysis, though it is strongly recommended. Basic knowledge of molecular biology and a general interest in the field is expected from the students. Knowledge in mathematics and statistics is welcome.

Active participation in the exercises and discussions during the course is required. For final evaluation, students will be asked to repeat the analysis steps on previously unseen data (open book). A short report including the code will be turned in and evaluated. The grade will be determined to 50% by participation, 20% by presentations during the course, and 30% by the final evaluation. For a passing grade all three partial evaluations must be at least passing.

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

MZO W3, MZO4, MBO 7, MAN 3, MEC-9, MZO2, MES5

Last modified: Fr 02.06.2023 12:08