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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO4440 Biological data analysis with R 5 ECTS
Organised by
Master's Degree Programme in Bioinformatics
Preceding studies
Courses listed or equivalent knowledge required.
Corresponding course units in the curriculum
Curricula 2015 – 2017


Strategic themes: Internationalisation, Responsible conduct of research

Learning outcomes

After the course, the student can:
- Describe both the data required as input for basic data analysis tasks and the information obtained from the output.
- Choose the correct tools of data analysis in basic cases and explain why the tools are appropriate.
- Use R for visualization of data.
- Use R for programming simple scripts which apply standard data analysis tools to data.


Working with data matrices in R
Hierarchical clustering
Dimensionality reduction
Genome-wide statistical testing
Data visualization in R
Accessing databases in R
Gene ontology
Enrichment analysis
Visualizing pathway graphs
Simple data analysis pipelines

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English
In English


Numeric 1-5.

Belongs to following study modules

Faculty of Medicine and Life Sciences
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Medicine and Life Sciences