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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Advanced processing of biological sequences |
| Learning aims |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Advanced processing of biological sequences | Code | 614522020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| To know the main state-of-the-art data structures for the compact and self-indexed representation of sequences, and algorithms to manage them. | AJ1 AJ2 AJ9 |
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| To create compressed data structures to develop analysis and alignment tasks on sequences efficiently in time and space. | AJ2 AJ3 AJ6 AJ8 |
BJ1 BJ2 BJ8 |
CJ6 CJ7 |
| To know the main issues associated secondary and tertiary protein structure prediction and their importance, as well as the main prediction techniques in the state of the art. | AJ1 AJ2 AJ3 AJ6 AJ9 |
BJ1 |
CJ6 CJ7 |
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