Universität Wien
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300106 UE Analyses of single cell transcriptome data (2022W)

Genome/transcriptome assembly and annotation

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

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. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 09.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 10.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Wednesday 11.01. 09:45 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Monday 16.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 17.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Wednesday 18.01. 09:45 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Monday 23.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 24.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Wednesday 25.01. 09:45 - 13:00 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Wednesday 25.01. 13:15 - 18:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Monday 30.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 31.01. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Wednesday 01.02. 09:45 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1

Information

Aims, contents and method of the course

Aim: Develop familiarity with generation and analysis of single cell sequencing data. Content: The first part of the course will include theoretical and practical aspects of reference guided transcriptome assembly. The second part of the course will include using this reference to map and analyze single cell transcriptome data using the R platform. Methods: assembly tools, alignment tools, format transformation tools, functional annotations tools, R packages, basic unix tools. Familiarity with bash scripting and R is recommended but not required.

Assessment and permitted materials

Compulsory attendance; completion of 2 projects

Minimum requirements and assessment criteria

a. Minimal requirement: compulsory attendance, active participation, completion of projects (2).
b. Assessment criteria (key):
- active participation 50%,
- protocol project 1 (part 1): 25%,
- protocol project 2 (part 2): 25%,

Examination topics

There is no formal exam

Reading list

Association in the course directory

MES6, MZO4

Last modified: Mo 23.01.2023 14:09