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;
di Tommasso et al., Nature Biotechnology, 2017;

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