Teaching GuideTerm Faculty of Science |
Máster Universitario en Bioloxía Molecular, Celular e Xenética (semipresencial) |
Subjects |
Bioinformatics and Biomolecular models |
Learning aims |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Bioinformatics and Biomolecular models | Code | 610441021s | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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Learning outcomes | Study programme competences / results | ||
Know access to Channels Bioinformatics Web Resources | AR3 |
BR3 BR9 |
CC3 |
Understand and manage properly the area of Bioinformatics | AR3 |
BR3 BR9 |
CC3 |
Being able to function independently to find information about the different programs and their changeable parameters and understand the impact on the results of the analysis | AR3 |
BR2 BR3 BR9 |
CC3 CC6 CC9 |
To have bioinformatics knowledge of how to make a prediction of the onedimensional characteristics of a protein | AR3 AR9 AR11 |
BR1 BR2 BR3 |
CC3 CC8 |
To be able to perform a simple prediction of the three dimensional structure of a protein based on available data and programs on the Web | AR3 |
BR1 BR2 BR3 |
CC3 CC8 CC9 |
Learn the basic methods of molecular simulation and how they are used for the study of proteins | AR3 |
BR1 BR2 BR3 |
CC3 CC8 |
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