| Educational guide Faculty of Chemistry |
english |
| Nutrition and Metabolism (2012) |
 Subjects |
| METABOLOMICS AND DATA TREATMENT |
 
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| IDENTIFYING DATA | 2019_20 | |||||||||||||||||
| Subject (*) | METABOLOMICS AND DATA TREATMENT | Code | 13675215 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 3 | Optional | |||||||||||||||||
| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering |
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| Coordinator |
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oscar.yanes@urv.cat |
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| Lecturers |
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| Web | http://moodle.urv.cat/ | |||||||||||||||||
| General description and relevant information | The course will introduce the student to the world of data treatment using bioinformatics and statistical tools. Introduction to omics sciences (genomics, transcriptomics, proteomics and metabolomics) for the study of biological systems. Metabolomics will be used as model and as a technology for mass data generation. Practices will be made using bioinformatics tools with the R platform and using data from different metabolomics experiments. | |||||||||||||||||
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
