Module Number BIOINF4250 (entspricht BIO-4250) |
Module Title Computational Single Cell Biology |
Lecture Type(s) Practical Course |
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ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | Irregular | |
Language of instruction | English | |
Type of Exam | A written report is to be submitted after the course. Performance during the course will also be integrated into the final grade. |
|
Content | The basics of processing and automatically interpreting single-cell datasets are conveyed and applied on concrete examples in this practical course. The course tasks will be implemented in the scripting language Python and R. Specifically this course covers preprocessing, quality control of single-cell transcriptomic data and reconstruction of dynamic processes via RNA velocity analyses, trajectory inference and different dynamic models. |
|
Objectives | (1)The students learn how to perform quality control and normalization of single-cell RNA sequencing data. |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Claassen | |
Literature | Will be supplied during the course. |
|
Last offered | Wintersemester 2022 | |
Planned for | Wintersemester 2024 | |
Assigned Study Areas | BIO-PRAK |