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300164 UE Advanced bioinformatic analysis of single-cell data (2025S)
Continuous assessment of course work
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Details
max. 8 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The date of the first session (Monday 03.03.2025) also qualifies as the preliminary meeting for the course (Vorbesprechung), where formalia will be discussed. Absence on this date will result in de-registration.
- N Monday 03.03. 09:45 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
- Tuesday 04.03. 09:45 - 16:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Wednesday 05.03. 09:45 - 16:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Thursday 06.03. 09:45 - 13:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
- Thursday 06.03. 13:15 - 16:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
- Friday 07.03. 09:45 - 16:30 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, 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 cell type theory, actionable clustering, dataset integration, cross-species comparison, and advanced visualisation. Recent literature will be used as reference material and discussed in class.
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.Previous students have indicated that the following courses have been helpful:- 300106 UE Analyses of single cell transcriptome data
- 300357 UE Mathematical Basics for Quantitative BiologActive 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.
- 300357 UE Mathematical Basics for Quantitative BiologActive 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
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.
Examination topics
Reading list
Previous students have been asked to provide feedback and advice for future course attendees. Here are some quotes:- "Best advice for me would be: make sure you have time! Mainly just to make sure to have time after class to review the concepts and codes gone through the day because with this block course format everything piles up pretty quickly."
- "Be prepared for the theory and the philosophy behind the different steps [...]"
- "Be sure to have at least some basic knowledge of coding as it will help very much."
- "Take your time to really understand the fundamental concepts & take your time playing around with the homework."
- "Be prepared for the theory and the philosophy behind the different steps [...]"
- "Be sure to have at least some basic knowledge of coding as it will help very much."
- "Take your time to really understand the fundamental concepts & take your time playing around with the homework."
Association in the course directory
MZO W3, MZO4, MBO 7, MEC-9, MZO2, MES5
Last modified: Fr 10.01.2025 00:02