YHTTAY-24456 Biological Data Analysis with R, 5 cr
Additional information
http://bioinformatics.fi/BIO4440
Person responsible
Juha Kesseli, Olli Yli-Harja, Matti Nykter
-->Requirements
Period 3 in UTA Lectures: 4h/wk Exercises: 2h/wk Project work
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.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | 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 |
Correspondence of content
There is no equivalence with any other courses