Curricula Guides
2018–2019
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
Compulsory:
Recommended:
BIO2240
Molecular biology
Corresponding course units in the curriculum
Keywords
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.
Contents
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
Exercise(s)
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Medicine and Life Sciences
2018–2019
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Medicine and Life Sciences