| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| CLINICAL -OMICS AND TRANSLATIONAL MEDICINE |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | CLINICAL -OMICS AND TRANSLATIONAL MEDICINE | Code | 17705121 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Translational Medicine | -Translational Research -Precision Medicine |
| Clinical -omics | - Central Dogma - Experimental design in clinical -omics - Key Technologies: NGS - DNA methylation - Transcriptomics - Metagenomics - Key Technologies: MS - Proteomics - Metabolomics |
| Translational Bioinformatics | - RNA seq analysis - Epigenetics analysis - Metagenome analysis - Proteomics analysis - Metabolomics analysis |
