Workload:
90 h
|
Module Number BIOINF4270 |
Module Title Computational Workflows for Biomedical Data |
Lecture Type(s) Practical Course |
|---|---|---|
| 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 | Presentation and defense of the research results (oral and written) |
|
| Content | In this practical course, students will learn to model complex biomedical data analysis task using workflows. Using abstract workflow descriptions, they will implement new computational workflows using the workflow language nextflow. Students will also re-use existing workflows and provide scientific solutions to the biomedical data science problem at hand. |
|
| Objectives | After completing this practical course students can asbtract problems in biomedical research and models them as workflow. They are able to implement simple workflow with "nextflow" and to use various existing "best-practice" workflows. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Practical Course
P
o
2
3.0
tp,
op
g
100
|
|
| Prerequisite for participation | There are no specific prerequisites. | |
| Lecturer / Other | Nahnsen | |
| Literature | Ewels et al., Nature Biotechnology, 2020; Weitere Literatur wird im Praktikum bekannt gegeben / Further literature will be announced in the course. |
|
| Last offered | unknown | |
| Planned for | Sommersemester 2024 | |
| Assigned Study Areas | BIO-PRAK | |