| Code |
13422
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| Year |
3
|
| Semester |
S2
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| ECTS Credits |
6
|
| Workload |
PL(30H)/T(30H)
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| Scientific area |
Biomedical Sciences
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|
Entry requirements |
None.
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|
Mode of delivery |
Face-to-face
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Learning outcomes |
The discipline aims to introduce students to different algorithms and computational techniques used in Bioinformatics, with a focus on their practical application.
Specific objectives:
O1) Familiarization with algorithms and computational techniques currently used in Bioinformatics and their application to problem-solving in biology and medicine.
O2) Exploration of computational tools and databases of interest for problem-solving in Bioinformatics.
O3) Identification of research directions in Bioinformatics.
O4) Acquisition and/or reinforcement of soft skills such as teamwork, analytical and argumentative abilities, discussion of ideas with peers and faculty, ...
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Syllabus |
1. Introduction to Bioinformatics
2. Algorithms and tools in Bioinformatics
3. Databases of biological interest
4. Sequence alignment methods and construction of phylogenetic trees
5. Pattern or motif detection methods
7. Gene expression data analysis methods
8. Methods for studying the interaction of proteins and biological networks
9. Methods for predicting protein structure and function
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Main Bibliography |
- Reading materials provided by the teacher.
- Bioinformatics: An Introduction, Jeremy Ramsden, Third Edition, Springer-Verlag London 2015.
- Algorithms in Bioinformatics: A Practical Introduction, Wing-Kin Sung, CRC Press 2010.
- Essential Bioinformatics, Jin Xiong Cambridge, University Press, 2006.
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Language |
Portuguese. Tutorial support is available in English.
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