At the end of the course, a successful student will be able to choose and apply different regression methods or non-parametric methods according to their data and will be able to predict the function and taxonomic source of a given protein from sequence and structure analyses.
Acquire a tool box for advanced data analyses in statistics and introduce them to the basics bioinformatics analyses (sequence alignment, protein structure prediction, data clustering).
1. ANOVA 1 and 2
2. Non-parametric tests
3. Multiple linear regression
4. ANCOVA
5. Linear mixed models
6. Sequence alignments
7. Protein structure prediction
8. Data clustering.
Computer lab sessions using R
Read the course reference material; question-and-answer sessions.
Mini-tests durimng quadrimester, examen in the session and presentation of the results of bioinformatics analyses
Material on webcampus.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Bachelor in Biology | Standard | 0 | 5 | |
| Bachelor in Biology | Standard | 3 | 5 |